Fix product performance grouped JSON build

.idea/bssapp.iml

@@ -1,6 +1,7 @@
 <?xml version="1.0" encoding="UTF-8"?>
 <module type="WEB_MODULE" version="4">
   <component name="Go" enabled="true" />
+  <component name="GoModuleSettings" enabled="true" />
   <component name="NewModuleRootManager">
     <content url="file://$MODULE_DIR$" />
     <orderEntry type="inheritedJdk" />

svc/.gitignore

@@ -3,6 +3,8 @@ bssapp
 
 # Env
 .env
+.env.local
+.env.argebaggi.local
 mail.env
 
 # Runtime fonts

svc/db/mssql.go

@@ -14,6 +14,7 @@ import (
 
 var MssqlDB *sql.DB
 var UretimDB *sql.DB
+var ArgeBaggiDB *sql.DB
 
 func envInt(name string, fallback int) int {
 	raw := strings.TrimSpace(os.Getenv(name))
@@ -158,3 +159,41 @@ func ConnectMSSQLUretim() error {
 func GetUretimDB() *sql.DB {
 	return UretimDB
 }
+
+// ConnectMSSQLArgeBaggi initializes the optional ArgeBAGGI connection.
+// Credentials must be supplied through ARGEBAGGI_MSSQL_CONN; never keep them
+// in source control.
+func ConnectMSSQLArgeBaggi() error {
+	connString := strings.TrimSpace(os.Getenv("ARGEBAGGI_MSSQL_CONN"))
+	if connString == "" {
+		return fmt.Errorf("ARGEBAGGI_MSSQL_CONN tanimli degil")
+	}
+
+	connectionTimeoutSec := envInt("ARGEBAGGI_MSSQL_CONNECTION_TIMEOUT_SEC", 10)
+	dialTimeoutSec := envInt("ARGEBAGGI_MSSQL_DIAL_TIMEOUT_SEC", connectionTimeoutSec)
+	connString = ensureMSSQLTimeouts(connString, connectionTimeoutSec, dialTimeoutSec)
+
+	var err error
+	ArgeBaggiDB, err = sql.Open("sqlserver", connString)
+	if err != nil {
+		return fmt.Errorf("ArgeBAGGI MSSQL baglanti hatasi: %w", err)
+	}
+
+	ArgeBaggiDB.SetMaxOpenConns(envInt("ARGEBAGGI_MSSQL_MAX_OPEN_CONNS", 10))
+	ArgeBaggiDB.SetMaxIdleConns(envInt("ARGEBAGGI_MSSQL_MAX_IDLE_CONNS", 5))
+	ArgeBaggiDB.SetConnMaxLifetime(time.Duration(envInt("ARGEBAGGI_MSSQL_CONN_MAX_LIFETIME_MIN", 30)) * time.Minute)
+	ArgeBaggiDB.SetConnMaxIdleTime(time.Duration(envInt("ARGEBAGGI_MSSQL_CONN_MAX_IDLE_MIN", 10)) * time.Minute)
+
+	if err = ArgeBaggiDB.Ping(); err != nil {
+		_ = ArgeBaggiDB.Close()
+		ArgeBaggiDB = nil
+		return fmt.Errorf("ArgeBAGGI MSSQL erisilemiyor: %w", err)
+	}
+
+	fmt.Printf("ArgeBAGGI MSSQL baglantisi basarili (connection timeout=%ds, dial timeout=%ds)\n", connectionTimeoutSec, dialTimeoutSec)
+	return nil
+}
+
+func GetArgeBaggiDB() *sql.DB {
+	return ArgeBaggiDB
+}

svc/main.go

@@ -227,6 +227,7 @@ InitRoutes — FULL V3 (Method-aware) PERMISSION EDITION
 func InitRoutes(pgDB *sql.DB, mssql *sql.DB, ml *mailer.GraphMailer) *mux.Router {
 
 	r := mux.NewRouter()
+	mountUploads(r)
 	mountSPA(r)
 
 	/*
@@ -939,6 +940,11 @@ func InitRoutes(pgDB *sql.DB, mssql *sql.DB, ml *mailer.GraphMailer) *mux.Router
 		"pricing", "view",
 		wrapV3(routes.GetProductPerformanceHandler(pgDB)),
 	)
+	bindV3(r, pgDB,
+		"/api/pricing/product-performance/export-excel", "POST",
+		"pricing", "view",
+		wrapV3(routes.ExportProductPerformanceExcelHandler(pgDB)),
+	)
 	bindV3(r, pgDB,
 		"/api/pricing/product-performance/summary", "GET",
 		"pricing", "view",
@@ -999,6 +1005,11 @@ func InitRoutes(pgDB *sql.DB, mssql *sql.DB, ml *mailer.GraphMailer) *mux.Router
 		"pricing", "view",
 		wrapV3(routes.GetProductPerformanceGroupedHandler(pgDB)),
 	)
+	bindV3(r, pgDB,
+		"/api/pricing/product-performance/grouped/filter-options", "POST",
+		"pricing", "view",
+		wrapV3(routes.GetProductPerformanceGroupedFilterOptionsHandler(pgDB)),
+	)
 	bindV3(r, pgDB,
 		"/api/pricing/product-performance/sales-details", "GET",
 		"pricing", "view",
@@ -1379,6 +1390,7 @@ func main() {
 	// (e.g. SSH-tunnel PostgreSQL on 127.0.0.1:15432).
 	if runtime.GOOS == "windows" {
 		_ = godotenv.Overload(".env.local")
+		_ = godotenv.Overload(".env.argebaggi.local")
 	}
 
 	jwtSecret := os.Getenv("JWT_SECRET")
@@ -1406,6 +1418,15 @@ func main() {
 			log.Fatal(err)
 		}
 	}
+	if err := db.ConnectMSSQLArgeBaggi(); err != nil {
+		if strings.Contains(err.Error(), "ARGEBAGGI_MSSQL_CONN tanimli degil") {
+			log.Println("ArgeBAGGI DB baglantisi atlandi: ARGEBAGGI_MSSQL_CONN tanimli degil")
+		} else {
+			// This source enriches one screen; a temporary outage must not stop
+			// the whole application from starting.
+			log.Println("ArgeBAGGI DB baglantisi basarisiz:", err)
+		}
+	}
 
 	pgDB, err := db.ConnectPostgres()
 	if err != nil {
@@ -1507,6 +1528,26 @@ func main() {
 
 }
 
+func mountUploads(r *mux.Router) {
+	root := strings.TrimSpace(os.Getenv("BLOB_ROOT"))
+	if root == "" {
+		return
+	}
+	uploadsRoot := filepath.Join(root, "uploads")
+	if fi, err := os.Stat(uploadsRoot); err != nil || !fi.IsDir() {
+		return
+	}
+	fileServer := http.StripPrefix("/uploads/", http.FileServer(http.Dir(uploadsRoot)))
+	r.PathPrefix("/uploads/").Handler(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
+		if r.Method != http.MethodGet && r.Method != http.MethodHead {
+			http.Error(w, "method not allowed", http.StatusMethodNotAllowed)
+			return
+		}
+		w.Header().Set("Cache-Control", "public, max-age=3600")
+		fileServer.ServeHTTP(w, r)
+	})).Methods(http.MethodGet, http.MethodHead, http.MethodOptions)
+}
+
 func mountSPA(r *mux.Router) {
 	r.NotFoundHandler = http.HandlerFunc(spaIndex)
 	r.HandleFunc("/", spaIndex).Methods(http.MethodGet)

svc/models/product_performance.go

@@ -31,6 +31,10 @@ type ProductPerformanceRow struct {
 	AvgDailySales180      float64 `json:"avg_daily_sales_180d"`
 	AvgDailySales365      float64 `json:"avg_daily_sales_365d"`
 	AvgDailySalesTotal    float64 `json:"avg_daily_sales_total"`
+	AvgStock90            float64 `json:"avg_stock_90d"`
+	AvgStock180           float64 `json:"avg_stock_180d"`
+	AvgStock365           float64 `json:"avg_stock_365d"`
+	AvgStockTotal         float64 `json:"avg_stock_total"`
 	StockDays90           float64 `json:"stock_days_90d"`
 	StockDays180          float64 `json:"stock_days_180d"`
 	StockDays365          float64 `json:"stock_days_365d"`
@@ -53,10 +57,23 @@ type ProductPerformanceRow struct {
 	UnitProfitBase90      float64 `json:"unit_profit_base_90d"`
 	UnitProfitBase180     float64 `json:"unit_profit_base_180d"`
 	MarketCount90         int     `json:"market_count_90d"`
+	MarketCount180        int     `json:"market_count_180d"`
+	MarketCount365        int     `json:"market_count_365d"`
+	MarketCountTotal      int     `json:"market_count_total"`
 	CustomerCount90       int     `json:"customer_count_90d"`
+	CustomerCount180      int     `json:"customer_count_180d"`
+	CustomerCount365      int     `json:"customer_count_365d"`
+	CustomerCountTotal    int     `json:"customer_count_total"`
 	SalesIndex90          float64 `json:"sales_index_90d"`
+	SalesIndex180         float64 `json:"sales_index_180d"`
+	SalesIndex365         float64 `json:"sales_index_365d"`
+	SalesIndexTotal       float64 `json:"sales_index_total"`
 	PriceIndex90          float64 `json:"price_index_90d"`
 	MarginIndex90         float64 `json:"margin_index_90d"`
+	PerformanceScore90    float64 `json:"performance_score_90d"`
+	PerformanceScore180   float64 `json:"performance_score_180d"`
+	PerformanceScore365   float64 `json:"performance_score_365d"`
+	PerformanceScoreTotal float64 `json:"performance_score_total"`
 	PerformanceScore      float64 `json:"performance_score"`
 	PerformanceBucket     string  `json:"performance_bucket"`
 	Recommendation        string  `json:"recommendation"`
@@ -325,6 +342,14 @@ type ProductPerformanceSalesBreakdownRow struct {
 	CustomerCode           string  `json:"customer_code"`
 	CustomerName           string  `json:"customer_name"`
 	ProductCount           int     `json:"product_count"`
+	ProductGroupCount90    int     `json:"product_group_count_90d"`
+	ProductGroupCount180   int     `json:"product_group_count_180d"`
+	ProductGroupCount365   int     `json:"product_group_count_365d"`
+	ProductGroupCountTotal int     `json:"product_group_count_total"`
+	MarketCount90          int     `json:"market_count_90d"`
+	MarketCount180         int     `json:"market_count_180d"`
+	MarketCount365         int     `json:"market_count_365d"`
+	MarketCountTotal       int     `json:"market_count_total"`
 	CustomerCount90        int     `json:"customer_count_90d"`
 	InvoiceCount90         int     `json:"invoice_count_90d"`
 	SalesQty90             float64 `json:"sales_qty_90d"`
@@ -370,16 +395,27 @@ type ProductPerformanceSalesBreakdownRow struct {
 	GrossMarginBaseTotal   float64 `json:"gross_margin_base_total"`
 	GrossMarginCostTotal   float64 `json:"gross_margin_cost_total"`
 	StockQty               float64 `json:"stock_qty"`
+	AvgStock90             float64 `json:"avg_stock_90d"`
+	AvgStock180            float64 `json:"avg_stock_180d"`
+	AvgStock365            float64 `json:"avg_stock_365d"`
+	AvgStockTotal          float64 `json:"avg_stock_total"`
 	StockTurnover90        float64 `json:"stock_turnover_90d"`
 	StockTurnover180       float64 `json:"stock_turnover_180d"`
 	StockTurnover365       float64 `json:"stock_turnover_365d"`
 	StockTurnoverTotal     float64 `json:"stock_turnover_total"`
 	HasCost                bool    `json:"has_cost"`
 	SalesIndex90           float64 `json:"sales_index_90d"`
+	SalesIndex180          float64 `json:"sales_index_180d"`
+	SalesIndex365          float64 `json:"sales_index_365d"`
+	SalesIndexTotal        float64 `json:"sales_index_total"`
 	CustomerScore90        float64 `json:"customer_score_90d"`
 	CustomerScore180       float64 `json:"customer_score_180d"`
 	CustomerScore365       float64 `json:"customer_score_365d"`
 	CustomerScoreTotal     float64 `json:"customer_score_total"`
+	PerformanceScore90     float64 `json:"performance_score_90d"`
+	PerformanceScore180    float64 `json:"performance_score_180d"`
+	PerformanceScore365    float64 `json:"performance_score_365d"`
+	PerformanceScoreTotal  float64 `json:"performance_score_total"`
 	PerformanceScore       float64 `json:"performance_score"`
 	PerformanceBucket      string  `json:"performance_bucket"`
 	Recommendation         string  `json:"recommendation"`

svc/models/production_product_costing.go

@@ -12,11 +12,18 @@ type ProductionNoCostProductRow struct {
 	SKullaniciAdi     string  `json:"sKullaniciAdi"`
 	SKullaniciGunc    string  `json:"sKullaniciAdiGunc"`
 	MMiktarG          float64 `json:"lMMiktar_G"`
+	CeketDepoGiris    float64 `json:"ceketDepoGiris"`
+	PantolonDepoGiris float64 `json:"pantolonDepoGiris"`
+	YelekDepoGiris    float64 `json:"yelekDepoGiris"`
 	MModelKodu        string  `json:"sMModelKodu"`
 }
 
 type ProductionHasCostProductRow struct {
 	UretimSekli             string  `json:"UretimSekli"`
+	UrtSiparisNo            string  `json:"nUrtSiparisNo"`
+	CeketDepoGiris          float64 `json:"ceketDepoGiris"`
+	PantolonDepoGiris       float64 `json:"pantolonDepoGiris"`
+	YelekDepoGiris          float64 `json:"yelekDepoGiris"`
 	NOnMLNo                 string  `json:"nOnMLNo"`
 	UrunKodu                string  `json:"UrunKodu"`
 	UrunAdi                 string  `json:"UrunAdi"`

svc/queries/product_performance.go

@@ -8,6 +8,7 @@ import (
 	"encoding/json"
 	"fmt"
 	"log"
+	"math"
 	"os"
 	"sort"
 	"strconv"
@@ -372,10 +373,10 @@ CREATE TABLE IF NOT EXISTS mk_product_performance_sales_daily (
 UPDATE mk_product_performance_sales_daily
 SET urun_ilk_grubu = '', updated_at = now()
 WHERE btrim(urun_ilk_grubu) = '-'
-   OR upper(translate(btrim(urun_ilk_grubu), 'İŞĞÜÖÇ', 'ISGUOC')) IN ('YETISKIN', 'YETISKIN/GARSON', 'GARSON')`,
+   OR upper(translate(btrim(urun_ilk_grubu), U&'\0130\015E\011E\00DC\00D6\00C7\0131\015F\011F\00FC\00F6\00E7', 'ISGUOCisguoc')) IN ('YETISKIN', 'YETISKIN/GARSON', 'GARSON')`,
 		`
 DELETE FROM mk_product_performance_sales_daily
-WHERE upper(btrim(COALESCE(urun_ilk_grubu,''))) IN ('MALZEMELI FASON', 'MALZEMESIZ FASON', 'DIGER')`,
+WHERE upper(translate(btrim(COALESCE(urun_ilk_grubu,'')), U&'\0130\015E\011E\00DC\00D6\00C7\0131\015F\011F\00FC\00F6\00E7', 'ISGUOCisguoc')) IN ('MALZEMELI FASON', 'MALZEMESIZ FASON', 'MAZLEMELI FASON', 'MAZEMESIZ FASON', 'DIGER')`,
 		`
 UPDATE mk_product_performance_sales_daily
 SET askili_yan = '', updated_at = now()
@@ -444,15 +445,15 @@ CREATE TABLE IF NOT EXISTS mk_product_performance_price_dim (
 		`
 UPDATE mk_product_performance_price_dim
 SET
-  cost_price_usd = GREATEST(cost_price_usd, base_price_usd),
-  base_price_usd = LEAST(cost_price_usd, base_price_usd),
+  cost_price_usd = LEAST(cost_price_usd, base_price_usd),
+  base_price_usd = GREATEST(cost_price_usd, base_price_usd),
   updated_at = now()
 WHERE cost_price_usd > 0
   AND base_price_usd > 0
-  AND cost_price_usd < base_price_usd`,
+  AND cost_price_usd > base_price_usd`,
 		`
 DELETE FROM mk_product_performance_price_dim
-WHERE upper(btrim(COALESCE(urun_ilk_grubu,''))) IN ('MALZEMELI FASON', 'MALZEMESIZ FASON', 'DIGER')`,
+WHERE upper(translate(btrim(COALESCE(urun_ilk_grubu,'')), U&'\0130\015E\011E\00DC\00D6\00C7\0131\015F\011F\00FC\00F6\00E7', 'ISGUOCisguoc')) IN ('MALZEMELI FASON', 'MALZEMESIZ FASON', 'MAZLEMELI FASON', 'MAZEMESIZ FASON', 'DIGER')`,
 		`
 CREATE TABLE IF NOT EXISTS mk_product_performance_kpi_daily (
   kpi_date          DATE NOT NULL,
@@ -480,6 +481,10 @@ CREATE TABLE IF NOT EXISTS mk_product_performance_kpi_daily (
   sales_usd_365d    NUMERIC(18,4) NOT NULL DEFAULT 0,
   avg_daily_sales_90d NUMERIC(18,6) NOT NULL DEFAULT 0,
   avg_daily_sales_180d NUMERIC(18,6) NOT NULL DEFAULT 0,
+  avg_stock_90d     NUMERIC(18,6) NOT NULL DEFAULT 0,
+  avg_stock_180d    NUMERIC(18,6) NOT NULL DEFAULT 0,
+  avg_stock_365d    NUMERIC(18,6) NOT NULL DEFAULT 0,
+  avg_stock_total   NUMERIC(18,6) NOT NULL DEFAULT 0,
   stock_days_90d    NUMERIC(18,6) NOT NULL DEFAULT 0,
   stock_days_180d   NUMERIC(18,6) NOT NULL DEFAULT 0,
   avg_price_usd_90d NUMERIC(18,6) NOT NULL DEFAULT 0,
@@ -496,8 +501,17 @@ CREATE TABLE IF NOT EXISTS mk_product_performance_kpi_daily (
   unit_profit_base_90d NUMERIC(18,6) NOT NULL DEFAULT 0,
   unit_profit_base_180d NUMERIC(18,6) NOT NULL DEFAULT 0,
   market_count_90d INTEGER NOT NULL DEFAULT 0,
+  market_count_180d INTEGER NOT NULL DEFAULT 0,
+  market_count_365d INTEGER NOT NULL DEFAULT 0,
+  market_count_total INTEGER NOT NULL DEFAULT 0,
   customer_count_90d INTEGER NOT NULL DEFAULT 0,
+  customer_count_180d INTEGER NOT NULL DEFAULT 0,
+  customer_count_365d INTEGER NOT NULL DEFAULT 0,
+  customer_count_total INTEGER NOT NULL DEFAULT 0,
   sales_index_90d   NUMERIC(18,6) NOT NULL DEFAULT 0,
+  sales_index_180d  NUMERIC(18,6) NOT NULL DEFAULT 0,
+  sales_index_365d  NUMERIC(18,6) NOT NULL DEFAULT 0,
+  sales_index_total NUMERIC(18,6) NOT NULL DEFAULT 0,
   price_index_90d   NUMERIC(18,6) NOT NULL DEFAULT 0,
   margin_index_90d  NUMERIC(18,6) NOT NULL DEFAULT 0,
   performance_score NUMERIC(18,6) NOT NULL DEFAULT 0,
@@ -519,27 +533,27 @@ CREATE TABLE IF NOT EXISTS mk_product_performance_kpi_daily (
 UPDATE mk_product_performance_kpi_daily
 SET urun_ilk_grubu = '', updated_at = now()
 WHERE btrim(urun_ilk_grubu) = '-'
-   OR upper(translate(btrim(urun_ilk_grubu), 'İŞĞÜÖÇ', 'ISGUOC')) IN ('YETISKIN', 'YETISKIN/GARSON', 'GARSON')`,
+   OR upper(translate(btrim(urun_ilk_grubu), U&'\0130\015E\011E\00DC\00D6\00C7\0131\015F\011F\00FC\00F6\00E7', 'ISGUOCisguoc')) IN ('YETISKIN', 'YETISKIN/GARSON', 'GARSON')`,
 		`
 DELETE FROM mk_product_performance_kpi_daily
-WHERE upper(btrim(COALESCE(urun_ilk_grubu,''))) IN ('MALZEMELI FASON', 'MALZEMESIZ FASON', 'DIGER')`,
+WHERE upper(translate(btrim(COALESCE(urun_ilk_grubu,'')), U&'\0130\015E\011E\00DC\00D6\00C7\0131\015F\011F\00FC\00F6\00E7', 'ISGUOCisguoc')) IN ('MALZEMELI FASON', 'MALZEMESIZ FASON', 'MAZLEMELI FASON', 'MAZEMESIZ FASON', 'DIGER')`,
 		`
 UPDATE mk_product_performance_kpi_daily
 SET
-  cost_price_usd = GREATEST(cost_price_usd, base_price_usd),
-  base_price_usd = LEAST(cost_price_usd, base_price_usd),
-  gross_profit_usd_90d = COALESCE(sales_usd_90d,0) - (COALESCE(sales_qty_90d,0) * GREATEST(cost_price_usd, base_price_usd)),
-  gross_profit_usd_180d = COALESCE(sales_usd_180d,0) - (COALESCE(sales_qty_180d,0) * GREATEST(cost_price_usd, base_price_usd)),
-  gross_margin_90d = CASE WHEN COALESCE(sales_usd_90d,0) = 0 THEN 0 ELSE (COALESCE(sales_usd_90d,0) - (COALESCE(sales_qty_90d,0) * GREATEST(cost_price_usd, base_price_usd))) / NULLIF(sales_usd_90d,0) END,
-  gross_margin_180d = CASE WHEN COALESCE(sales_usd_180d,0) = 0 THEN 0 ELSE (COALESCE(sales_usd_180d,0) - (COALESCE(sales_qty_180d,0) * GREATEST(cost_price_usd, base_price_usd))) / NULLIF(sales_usd_180d,0) END,
-  unit_profit_cost_90d = CASE WHEN COALESCE(sales_qty_90d,0) = 0 THEN 0 ELSE (COALESCE(sales_usd_90d,0) / NULLIF(sales_qty_90d,0)) - GREATEST(cost_price_usd, base_price_usd) END,
-  unit_profit_cost_180d = CASE WHEN COALESCE(sales_qty_180d,0) = 0 THEN 0 ELSE (COALESCE(sales_usd_180d,0) / NULLIF(sales_qty_180d,0)) - GREATEST(cost_price_usd, base_price_usd) END,
-  unit_profit_base_90d = CASE WHEN COALESCE(sales_qty_90d,0) = 0 THEN 0 ELSE (COALESCE(sales_usd_90d,0) / NULLIF(sales_qty_90d,0)) - LEAST(cost_price_usd, base_price_usd) END,
-  unit_profit_base_180d = CASE WHEN COALESCE(sales_qty_180d,0) = 0 THEN 0 ELSE (COALESCE(sales_usd_180d,0) / NULLIF(sales_qty_180d,0)) - LEAST(cost_price_usd, base_price_usd) END,
+  cost_price_usd = LEAST(cost_price_usd, base_price_usd),
+  base_price_usd = GREATEST(cost_price_usd, base_price_usd),
+  gross_profit_usd_90d = COALESCE(sales_usd_90d,0) - (COALESCE(sales_qty_90d,0) * LEAST(cost_price_usd, base_price_usd)),
+  gross_profit_usd_180d = COALESCE(sales_usd_180d,0) - (COALESCE(sales_qty_180d,0) * LEAST(cost_price_usd, base_price_usd)),
+  gross_margin_90d = CASE WHEN COALESCE(sales_usd_90d,0) = 0 THEN 0 ELSE (COALESCE(sales_usd_90d,0) - (COALESCE(sales_qty_90d,0) * LEAST(cost_price_usd, base_price_usd))) / NULLIF(sales_usd_90d,0) END,
+  gross_margin_180d = CASE WHEN COALESCE(sales_usd_180d,0) = 0 THEN 0 ELSE (COALESCE(sales_usd_180d,0) - (COALESCE(sales_qty_180d,0) * LEAST(cost_price_usd, base_price_usd))) / NULLIF(sales_usd_180d,0) END,
+  unit_profit_cost_90d = CASE WHEN COALESCE(sales_qty_90d,0) = 0 THEN 0 ELSE (COALESCE(sales_usd_90d,0) / NULLIF(sales_qty_90d,0)) - LEAST(cost_price_usd, base_price_usd) END,
+  unit_profit_cost_180d = CASE WHEN COALESCE(sales_qty_180d,0) = 0 THEN 0 ELSE (COALESCE(sales_usd_180d,0) / NULLIF(sales_qty_180d,0)) - LEAST(cost_price_usd, base_price_usd) END,
+  unit_profit_base_90d = CASE WHEN COALESCE(sales_qty_90d,0) = 0 THEN 0 ELSE (COALESCE(sales_usd_90d,0) / NULLIF(sales_qty_90d,0)) - GREATEST(cost_price_usd, base_price_usd) END,
+  unit_profit_base_180d = CASE WHEN COALESCE(sales_qty_180d,0) = 0 THEN 0 ELSE (COALESCE(sales_usd_180d,0) / NULLIF(sales_qty_180d,0)) - GREATEST(cost_price_usd, base_price_usd) END,
   updated_at = now()
 WHERE cost_price_usd > 0
   AND base_price_usd > 0
-  AND cost_price_usd < base_price_usd`,
+  AND cost_price_usd > base_price_usd`,
 		`
 UPDATE mk_product_performance_kpi_daily
 SET askili_yan = '', updated_at = now()
@@ -551,6 +565,10 @@ WHERE btrim(askili_yan) = '-'`,
 		`ALTER TABLE mk_product_performance_kpi_daily ADD COLUMN IF NOT EXISTS avg_daily_sales_180d NUMERIC(18,6) NOT NULL DEFAULT 0`,
 		`ALTER TABLE mk_product_performance_kpi_daily ADD COLUMN IF NOT EXISTS avg_daily_sales_365d NUMERIC(18,6) NOT NULL DEFAULT 0`,
 		`ALTER TABLE mk_product_performance_kpi_daily ADD COLUMN IF NOT EXISTS avg_daily_sales_total NUMERIC(18,6) NOT NULL DEFAULT 0`,
+		`ALTER TABLE mk_product_performance_kpi_daily ADD COLUMN IF NOT EXISTS avg_stock_90d NUMERIC(18,6) NOT NULL DEFAULT 0`,
+		`ALTER TABLE mk_product_performance_kpi_daily ADD COLUMN IF NOT EXISTS avg_stock_180d NUMERIC(18,6) NOT NULL DEFAULT 0`,
+		`ALTER TABLE mk_product_performance_kpi_daily ADD COLUMN IF NOT EXISTS avg_stock_365d NUMERIC(18,6) NOT NULL DEFAULT 0`,
+		`ALTER TABLE mk_product_performance_kpi_daily ADD COLUMN IF NOT EXISTS avg_stock_total NUMERIC(18,6) NOT NULL DEFAULT 0`,
 		`ALTER TABLE mk_product_performance_kpi_daily ADD COLUMN IF NOT EXISTS stock_days_180d NUMERIC(18,6) NOT NULL DEFAULT 0`,
 		`ALTER TABLE mk_product_performance_kpi_daily ADD COLUMN IF NOT EXISTS stock_days_365d NUMERIC(18,6) NOT NULL DEFAULT 0`,
 		`ALTER TABLE mk_product_performance_kpi_daily ADD COLUMN IF NOT EXISTS stock_days_total NUMERIC(18,6) NOT NULL DEFAULT 0`,
@@ -566,6 +584,15 @@ WHERE btrim(askili_yan) = '-'`,
 		`ALTER TABLE mk_product_performance_kpi_daily ADD COLUMN IF NOT EXISTS unit_profit_base_90d NUMERIC(18,6) NOT NULL DEFAULT 0`,
 		`ALTER TABLE mk_product_performance_kpi_daily ADD COLUMN IF NOT EXISTS unit_profit_base_180d NUMERIC(18,6) NOT NULL DEFAULT 0`,
 		`ALTER TABLE mk_product_performance_kpi_daily ADD COLUMN IF NOT EXISTS market_count_90d INTEGER NOT NULL DEFAULT 0`,
+		`ALTER TABLE mk_product_performance_kpi_daily ADD COLUMN IF NOT EXISTS market_count_180d INTEGER NOT NULL DEFAULT 0`,
+		`ALTER TABLE mk_product_performance_kpi_daily ADD COLUMN IF NOT EXISTS market_count_365d INTEGER NOT NULL DEFAULT 0`,
+		`ALTER TABLE mk_product_performance_kpi_daily ADD COLUMN IF NOT EXISTS market_count_total INTEGER NOT NULL DEFAULT 0`,
+		`ALTER TABLE mk_product_performance_kpi_daily ADD COLUMN IF NOT EXISTS customer_count_180d INTEGER NOT NULL DEFAULT 0`,
+		`ALTER TABLE mk_product_performance_kpi_daily ADD COLUMN IF NOT EXISTS customer_count_365d INTEGER NOT NULL DEFAULT 0`,
+		`ALTER TABLE mk_product_performance_kpi_daily ADD COLUMN IF NOT EXISTS customer_count_total INTEGER NOT NULL DEFAULT 0`,
+		`ALTER TABLE mk_product_performance_kpi_daily ADD COLUMN IF NOT EXISTS sales_index_180d NUMERIC(18,6) NOT NULL DEFAULT 0`,
+		`ALTER TABLE mk_product_performance_kpi_daily ADD COLUMN IF NOT EXISTS sales_index_365d NUMERIC(18,6) NOT NULL DEFAULT 0`,
+		`ALTER TABLE mk_product_performance_kpi_daily ADD COLUMN IF NOT EXISTS sales_index_total NUMERIC(18,6) NOT NULL DEFAULT 0`,
 		`
 CREATE TABLE IF NOT EXISTS mk_product_performance_report_snapshot (
   report_key TEXT NOT NULL,
@@ -602,6 +629,7 @@ CREATE TABLE IF NOT EXISTS mk_product_performance_grouped_snapshot (
 )`,
 		`CREATE INDEX IF NOT EXISTS ix_mk_product_perf_grouped_snapshot_key ON mk_product_performance_grouped_snapshot (report_key, row_order)`,
 		`CREATE INDEX IF NOT EXISTS ix_mk_product_perf_grouped_snapshot_level ON mk_product_performance_grouped_snapshot (report_key, group_level, row_order)`,
+		`CREATE INDEX IF NOT EXISTS ix_mk_product_perf_grouped_snapshot_field ON mk_product_performance_grouped_snapshot (report_key, group_field, group_value)`,
 		`
 CREATE TABLE IF NOT EXISTS mk_product_performance_grouped_snapshot_meta (
   report_key TEXT PRIMARY KEY,
@@ -883,6 +911,11 @@ func RebuildProductPerformanceReportSnapshots(ctx context.Context, pg *sql.DB) (
 	total := 0
 
 	save := func(reportKey string, rows any, started time.Time) error {
+		rowCount := productPerformanceSnapshotPayloadLen(rows)
+		log.Printf("[ProductPerformanceRefresh] snapshot save start key=%s rows=%d", reportKey, rowCount)
+		defer func() {
+			log.Printf("[ProductPerformanceRefresh] snapshot save done key=%s rows=%d elapsed=%s", reportKey, rowCount, time.Since(started).Round(time.Second))
+		}()
 		switch v := rows.(type) {
 		case []models.ProductPerformanceSummary:
 			total += len(v)
@@ -923,24 +956,28 @@ func RebuildProductPerformanceReportSnapshots(ctx context.Context, pg *sql.DB) (
 	}
 
 	started := time.Now()
+	log.Printf("[ProductPerformanceRefresh] snapshot build start key=%s", productPerformanceSnapshotKey("summary"))
 	if summary, err := GetProductPerformanceSummary(ctx, pg); err != nil {
 		return total, err
 	} else if err := save(productPerformanceSnapshotKey("summary"), []models.ProductPerformanceSummary{summary}, started); err != nil {
 		return total, err
 	}
 	started = time.Now()
+	log.Printf("[ProductPerformanceRefresh] snapshot build start key=%s", productPerformanceSnapshotKey("products"))
 	if rows, _, err := ListProductPerformance(ctx, pg, ProductPerformanceFilters{Limit: 50000, Page: 1, SortBy: "performance_score", Descending: true}); err != nil {
 		return total, err
 	} else if err := save(productPerformanceSnapshotKey("products"), rows, started); err != nil {
 		return total, err
 	}
 	started = time.Now()
+	log.Printf("[ProductPerformanceRefresh] snapshot build start key=%s", productPerformanceSnapshotKey("general"))
 	if rows, err := ListProductPerformanceGeneral(ctx, pg, 50000); err != nil {
 		return total, err
 	} else if err := save(productPerformanceSnapshotKey("general"), rows, started); err != nil {
 		return total, err
 	}
 	started = time.Now()
+	log.Printf("[ProductPerformanceRefresh] snapshot build start key=%s", productPerformanceSnapshotKey("orders"))
 	if rows, err := ListProductPerformanceOrderAnalysis(ctx, pg, 50000); err != nil {
 		return total, err
 	} else if err := save(productPerformanceSnapshotKey("orders"), rows, started); err != nil {
@@ -948,6 +985,7 @@ func RebuildProductPerformanceReportSnapshots(ctx context.Context, pg *sql.DB) (
 	}
 	for _, mode := range []string{"market", "customer"} {
 		started = time.Now()
+		log.Printf("[ProductPerformanceRefresh] snapshot build start key=%s", productPerformanceSnapshotKey("order-groups", mode))
 		rows, err := ListProductPerformanceOrderGroups(ctx, pg, mode, 50000)
 		if err != nil {
 			return total, err
@@ -957,24 +995,28 @@ func RebuildProductPerformanceReportSnapshots(ctx context.Context, pg *sql.DB) (
 		}
 	}
 	started = time.Now()
+	log.Printf("[ProductPerformanceRefresh] snapshot build start key=%s", productPerformanceSnapshotKey("order-product-customers"))
 	if rows, err := ListProductPerformanceOrderProductCustomers(ctx, pg, 50000); err != nil {
 		return total, err
 	} else if err := save(productPerformanceSnapshotKey("order-product-customers"), rows, started); err != nil {
 		return total, err
 	}
 	started = time.Now()
+	log.Printf("[ProductPerformanceRefresh] snapshot build start key=%s", productPerformanceSnapshotKey("order-market-details"))
 	if rows, err := ListProductPerformanceOrderMarketDetails(ctx, pg, 50000); err != nil {
 		return total, err
 	} else if err := save(productPerformanceSnapshotKey("order-market-details"), rows, started); err != nil {
 		return total, err
 	}
 	started = time.Now()
+	log.Printf("[ProductPerformanceRefresh] snapshot build start key=%s", productPerformanceSnapshotKey("markets"))
 	if rows, err := ListProductPerformanceMarkets(ctx, pg, 50000); err != nil {
 		return total, err
 	} else if err := save(productPerformanceSnapshotKey("markets"), rows, started); err != nil {
 		return total, err
 	}
 	started = time.Now()
+	log.Printf("[ProductPerformanceRefresh] snapshot build start key=%s", productPerformanceSnapshotKey("countries"))
 	if rows, err := ListProductPerformanceCountries(ctx, pg, 50000); err != nil {
 		return total, err
 	} else if err := save(productPerformanceSnapshotKey("countries"), rows, started); err != nil {
@@ -982,6 +1024,7 @@ func RebuildProductPerformanceReportSnapshots(ctx context.Context, pg *sql.DB) (
 	}
 	for _, mode := range []string{"market_customer", "country_customer", "market_country_customer"} {
 		started = time.Now()
+		log.Printf("[ProductPerformanceRefresh] snapshot build start key=%s", productPerformanceSnapshotKey("customers", mode))
 		rows, err := ListProductPerformanceCustomers(ctx, pg, mode, 50000)
 		if err != nil {
 			return total, err
@@ -992,6 +1035,7 @@ func RebuildProductPerformanceReportSnapshots(ctx context.Context, pg *sql.DB) (
 	}
 	for _, mode := range []string{"color_yaka_market_customer", "product_country_segment_market_customer", "market_customer_product", "country_segment_market_customer_product"} {
 		started = time.Now()
+		log.Printf("[ProductPerformanceRefresh] snapshot build start key=%s", productPerformanceSnapshotKey("sales-breakdown", mode))
 		rows, err := ListProductPerformanceSalesBreakdown(ctx, pg, mode, 50000)
 		if err != nil {
 			return total, err
@@ -1000,14 +1044,45 @@ func RebuildProductPerformanceReportSnapshots(ctx context.Context, pg *sql.DB) (
 			return total, err
 		}
 	}
+	log.Printf("[ProductPerformanceRefresh] grouped snapshots rebuild start")
 	groupedRows, err := RebuildProductPerformanceGroupedSnapshots(snapshotReadCtx, pg)
 	if err != nil {
 		return total, err
 	}
+	log.Printf("[ProductPerformanceRefresh] grouped snapshots rebuild done rows=%d", groupedRows)
 	total += groupedRows
 	return total, nil
 }
 
+func productPerformanceSnapshotPayloadLen(rows any) int {
+	switch v := rows.(type) {
+	case []models.ProductPerformanceSummary:
+		return len(v)
+	case []models.ProductPerformanceRow:
+		return len(v)
+	case []models.ProductPerformanceGeneralRow:
+		return len(v)
+	case []models.ProductPerformanceOrderAnalysisRow:
+		return len(v)
+	case []models.ProductPerformanceOrderGroupRow:
+		return len(v)
+	case []models.ProductPerformanceOrderProductCustomerRow:
+		return len(v)
+	case []models.ProductPerformanceOrderMarketDetailRow:
+		return len(v)
+	case []models.ProductPerformanceMarketRow:
+		return len(v)
+	case []models.ProductPerformanceCountryRow:
+		return len(v)
+	case []models.ProductPerformanceCustomerRow:
+		return len(v)
+	case []models.ProductPerformanceSalesBreakdownRow:
+		return len(v)
+	default:
+		return 0
+	}
+}
+
 type productPerformanceGroupedSnapshotDefinition struct {
 	Mode      string
 	Levels    []string
@@ -1022,25 +1097,32 @@ func RebuildProductPerformanceGroupedSnapshots(ctx context.Context, pg *sql.DB)
 	if err != nil {
 		return 0, err
 	}
+	log.Printf("[ProductPerformanceRefresh] grouped snapshot definitions ready count=%d", len(defs))
+	if err := deleteStaleProductPerformanceGroupedSnapshots(ctx, pg, productPerformanceSnapshotKey("grouped", "product_detail")+":%"); err != nil {
+		return 0, err
+	}
 	total := 0
-	for _, def := range defs {
+	for i, def := range defs {
 		started := time.Now()
 		levels := sanitizeProductPerformanceGroupLevels(def.Levels)
 		if len(levels) == 0 {
 			levels = defaultProductPerformanceGroupLevels(def.Mode)
 		}
+		reportKey := productPerformanceGroupedSnapshotReportKey(def.Mode, levels, def.MainGroup)
+		log.Printf("[ProductPerformanceRefresh] grouped snapshot start %d/%d key=%s mode=%s main_group=%s levels=%s", i+1, len(defs), reportKey, def.Mode, def.MainGroup, productPerformanceGroupedLevelsKey(levels))
 		sourceRows, err := productPerformanceGroupedRawSnapshotSourceRows(ctx, pg, def.Mode, 50000)
 		if err != nil {
 			return total, err
 		}
+		log.Printf("[ProductPerformanceRefresh] grouped snapshot source loaded key=%s source_rows=%d elapsed=%s", reportKey, len(sourceRows), time.Since(started).Round(time.Second))
 		req := ProductPerformanceGroupedRequest{
 			Mode:      def.Mode,
 			MainGroup: def.MainGroup,
 		}
 		sourceRows = filterProductPerformanceGroupedRows(sourceRows, productPerformanceGroupedEffectiveFilters(req))
-		rows := make([]map[string]any, 0, len(sourceRows))
-		appendProductPerformanceGroupedRows(&rows, sourceRows, levels, 0, 0, []string{"tab:" + def.Mode}, nil, len(levels)-1)
-		reportKey := productPerformanceGroupedSnapshotReportKey(def.Mode, levels, def.MainGroup)
+		groupStarted := time.Now()
+		rows := buildProductPerformanceGroupedSnapshotRows(sourceRows, levels, def.Mode)
+		log.Printf("[ProductPerformanceRefresh] grouped snapshot tree built key=%s rows=%d elapsed=%s total_elapsed=%s", reportKey, len(rows), time.Since(groupStarted).Round(time.Second), time.Since(started).Round(time.Second))
 		if err := saveProductPerformanceGroupedSnapshotRows(ctx, pg, reportKey, productPerformanceGroupedSnapshotDefinition{
 			Mode:      def.Mode,
 			Levels:    levels,
@@ -1049,45 +1131,38 @@ func RebuildProductPerformanceGroupedSnapshots(ctx context.Context, pg *sql.DB)
 			return total, err
 		}
 		total += len(rows)
+		log.Printf("[ProductPerformanceRefresh] grouped snapshot done key=%s rows=%d cumulative_rows=%d elapsed=%s", reportKey, len(rows), total, time.Since(started).Round(time.Second))
 	}
 	return total, nil
 }
 
+func deleteStaleProductPerformanceGroupedSnapshots(ctx context.Context, pg *sql.DB, reportKeyLike string) error {
+	reportKeyLike = strings.TrimSpace(reportKeyLike)
+	if reportKeyLike == "" {
+		return nil
+	}
+	if _, err := pg.ExecContext(ctx, `DELETE FROM mk_product_performance_grouped_snapshot WHERE report_key LIKE $1`, reportKeyLike); err != nil {
+		return err
+	}
+	if _, err := pg.ExecContext(ctx, `DELETE FROM mk_product_performance_grouped_snapshot_meta WHERE report_key LIKE $1`, reportKeyLike); err != nil {
+		return err
+	}
+	return nil
+}
+
 func productPerformanceGroupedSnapshotDefinitions(ctx context.Context, pg *sql.DB) ([]productPerformanceGroupedSnapshotDefinition, error) {
+	_ = ctx
+	_ = pg
 	defs := []productPerformanceGroupedSnapshotDefinition{
 		{Mode: "products", Levels: []string{"urun_ilk_grubu", "askili_yan", "kategori", "urun_ana_grubu", "urun_alt_grubu", "product_code", "color_yaka", "market_key"}},
 		{Mode: "products", Levels: []string{"urun_ana_grubu"}},
 		{Mode: "idle", Levels: []string{"urun_ilk_grubu", "askili_yan", "kategori", "urun_ana_grubu", "urun_alt_grubu", "product_code", "color_yaka"}},
-		{Mode: "sales_color_yaka_market_customer", Levels: []string{"color_yaka", "urun_ilk_grubu", "askili_yan", "kategori", "urun_ana_grubu", "urun_alt_grubu", "product_code", "country", "market_key", "customer_segment", "customer_code", "customer_name"}},
+		{Mode: "sales_color_yaka_market_customer", Levels: []string{"urun_ana_grubu", "color_yaka", "market_key", "customer_code", "customer_name", "urun_alt_grubu", "product_code"}},
 		{Mode: "sales_product_country_segment_market_customer", Levels: []string{"urun_ilk_grubu", "askili_yan", "kategori", "urun_ana_grubu", "urun_alt_grubu", "product_code", "color_yaka", "country", "customer_segment", "market_key", "customer_code", "customer_name"}},
 		{Mode: "sales_country_segment_market_customer_product", Levels: []string{"country", "customer_segment", "market_key", "customer_code", "customer_name", "urun_ilk_grubu", "askili_yan", "kategori", "urun_ana_grubu", "urun_alt_grubu", "product_code", "color_yaka"}},
 		{Mode: "order_product_customers", Levels: []string{"urun_ilk_grubu", "askili_yan", "kategori", "urun_ana_grubu", "urun_alt_grubu", "product_code", "color_yaka", "market_key", "customer_code", "customer_name"}},
 		{Mode: "order_market_details", Levels: []string{"market_key", "customer_code", "customer_name", "urun_ilk_grubu", "askili_yan", "kategori", "urun_ana_grubu", "urun_alt_grubu", "product_code", "color_yaka"}},
 	}
-	productRows, ok, err := loadProductPerformanceSnapshotMapRows(ctx, pg, productPerformanceSnapshotKey("products"), 50000)
-	if err != nil {
-		return nil, err
-	}
-	if ok {
-		mainGroups := make([]string, 0)
-		seen := map[string]bool{}
-		for _, row := range productRows {
-			mainGroup := productPerformanceGroupedFilterValue(row, "urun_ana_grubu")
-			if mainGroup == "" || seen[mainGroup] {
-				continue
-			}
-			seen[mainGroup] = true
-			mainGroups = append(mainGroups, mainGroup)
-		}
-		sort.Strings(mainGroups)
-		for _, mainGroup := range mainGroups {
-			defs = append(defs, productPerformanceGroupedSnapshotDefinition{
-				Mode:      "product_detail",
-				Levels:    []string{"urun_alt_grubu", "product_code", "color_yaka", "market_key"},
-				MainGroup: mainGroup,
-			})
-		}
-	}
 	return defs, nil
 }
 
@@ -1702,6 +1777,7 @@ func ListProductPerformance(ctx context.Context, pg *sql.DB, f ProductPerformanc
 		if rows, ok, err := loadProductPerformanceSnapshotRows[models.ProductPerformanceRow](ctx, pg, productPerformanceSnapshotKey("products"), limit); err != nil {
 			return nil, 0, err
 		} else if ok {
+			applyProductPerformanceProductRowScores(rows)
 			return rows, len(rows), nil
 		}
 	}
@@ -1720,11 +1796,15 @@ SELECT
   sales_qty_30d, sales_qty_90d, sales_qty_180d, sales_qty_365d, sales_qty_730d, sales_qty_total,
   sales_usd_30d, sales_usd_90d, sales_usd_180d, sales_usd_365d, sales_usd_total,
   avg_daily_sales_90d, avg_daily_sales_180d, avg_daily_sales_365d, avg_daily_sales_total,
+  avg_stock_90d, avg_stock_180d, avg_stock_365d, avg_stock_total,
   stock_days_90d, stock_days_180d, stock_days_365d, stock_days_total,
   stock_turnover_90d, stock_turnover_180d, stock_turnover_365d, stock_turnover_total,
   avg_price_usd_90d, avg_price_usd_180d, cost_price_usd, base_price_usd, base_price_try,
   gross_profit_usd_90d, gross_profit_usd_180d, gross_margin_90d, gross_margin_180d,
-  unit_profit_cost_90d, unit_profit_cost_180d, unit_profit_base_90d, unit_profit_base_180d, market_count_90d, customer_count_90d, sales_index_90d,
+  unit_profit_cost_90d, unit_profit_cost_180d, unit_profit_base_90d, unit_profit_base_180d,
+  market_count_90d, market_count_180d, market_count_365d, market_count_total,
+  customer_count_90d, customer_count_180d, customer_count_365d, customer_count_total,
+  sales_index_90d, sales_index_180d, sales_index_365d, sales_index_total,
   price_index_90d, margin_index_90d, performance_score, performance_bucket,
   recommendation, COALESCE(to_char(last_sale_date,'YYYY-MM-DD'),''), last_ref_number,
   to_char(updated_at,'YYYY-MM-DD HH24:MI:SS')
@@ -1746,11 +1826,15 @@ LIMIT $`+fmt.Sprint(len(args)-1)+` OFFSET $`+fmt.Sprint(len(args)), args...)
 			&r.SalesQty30, &r.SalesQty90, &r.SalesQty180, &r.SalesQty365, &r.SalesQty730, &r.SalesQtyTotal,
 			&r.SalesUSD30, &r.SalesUSD90, &r.SalesUSD180, &r.SalesUSD365, &r.SalesUSDTotal,
 			&r.AvgDailySales90, &r.AvgDailySales180, &r.AvgDailySales365, &r.AvgDailySalesTotal,
+			&r.AvgStock90, &r.AvgStock180, &r.AvgStock365, &r.AvgStockTotal,
 			&r.StockDays90, &r.StockDays180, &r.StockDays365, &r.StockDaysTotal,
 			&r.StockTurnover90, &r.StockTurnover180, &r.StockTurnover365, &r.StockTurnoverTotal,
 			&r.AvgPriceUSD90, &r.AvgPriceUSD180, &r.CostPriceUSD, &r.BasePriceUSD, &r.BasePriceTRY,
 			&r.GrossProfitUSD90, &r.GrossProfitUSD180, &r.GrossMargin90, &r.GrossMargin180,
-			&r.UnitProfitCost90, &r.UnitProfitCost180, &r.UnitProfitBase90, &r.UnitProfitBase180, &r.MarketCount90, &r.CustomerCount90, &r.SalesIndex90,
+			&r.UnitProfitCost90, &r.UnitProfitCost180, &r.UnitProfitBase90, &r.UnitProfitBase180,
+			&r.MarketCount90, &r.MarketCount180, &r.MarketCount365, &r.MarketCountTotal,
+			&r.CustomerCount90, &r.CustomerCount180, &r.CustomerCount365, &r.CustomerCountTotal,
+			&r.SalesIndex90, &r.SalesIndex180, &r.SalesIndex365, &r.SalesIndexTotal,
 			&r.PriceIndex90, &r.MarginIndex90, &r.PerformanceScore, &r.PerformanceBucket,
 			&r.Recommendation, &r.LastSaleDate, &r.LastRefNumber, &r.UpdatedAt,
 		); err != nil {
@@ -1767,9 +1851,116 @@ LIMIT $`+fmt.Sprint(len(args)-1)+` OFFSET $`+fmt.Sprint(len(args)), args...)
 	for i := range out {
 		out[i].ColorDescription = colorDescriptions[normalizeProductPerformanceCode(out[i].ColorCode)]
 	}
+	applyProductPerformanceProductRowScores(out)
 	return out, total, nil
 }
 
+func applyProductPerformanceProductRowScores(rows []models.ProductPerformanceRow) {
+	avg := productPerformanceProductRowAverages(rows)
+	for i := range rows {
+		rows[i].SalesIndex90 = productPerformanceRelativeIndex(rows[i].SalesUSD90, avg.salesUSD90)
+		rows[i].SalesIndex180 = productPerformanceRelativeIndex(rows[i].SalesUSD180, avg.salesUSD180)
+		rows[i].SalesIndex365 = productPerformanceRelativeIndex(rows[i].SalesUSD365, avg.salesUSD365)
+		rows[i].SalesIndexTotal = productPerformanceRelativeIndex(rows[i].SalesUSDTotal, avg.salesUSDTotal)
+
+		margin365 := productPerformanceMarginFromSales(rows[i].SalesUSD365, rows[i].SalesQty365, rows[i].CostPriceUSD)
+		marginTotal := productPerformanceMarginFromSales(rows[i].SalesUSDTotal, rows[i].SalesQtyTotal, rows[i].CostPriceUSD)
+
+		rows[i].PerformanceScore90 = productPerformanceProductScore(
+			"90d",
+			rows[i].SalesUSD90,
+			rows[i].SalesIndex90,
+			rows[i].GrossMargin90,
+			rows[i].StockTurnover90,
+			float64(rows[i].MarketCount90),
+			float64(rows[i].CustomerCount90),
+		)
+		rows[i].PerformanceScore180 = productPerformanceProductScore(
+			"180d",
+			rows[i].SalesUSD180,
+			rows[i].SalesIndex180,
+			rows[i].GrossMargin180,
+			rows[i].StockTurnover180,
+			float64(rows[i].MarketCount180),
+			float64(rows[i].CustomerCount180),
+		)
+		rows[i].PerformanceScore365 = productPerformanceProductScore(
+			"365d",
+			rows[i].SalesUSD365,
+			rows[i].SalesIndex365,
+			margin365,
+			rows[i].StockTurnover365,
+			float64(rows[i].MarketCount365),
+			float64(rows[i].CustomerCount365),
+		)
+		rows[i].PerformanceScoreTotal = productPerformanceProductScore(
+			"total",
+			rows[i].SalesUSDTotal,
+			rows[i].SalesIndexTotal,
+			marginTotal,
+			rows[i].StockTurnoverTotal,
+			float64(rows[i].MarketCountTotal),
+			float64(rows[i].CustomerCountTotal),
+			productPerformanceProductRowTotalPeriodDays(rows[i]),
+		)
+		rows[i].PerformanceScore = rows[i].PerformanceScore90
+	}
+}
+
+type productPerformanceProductRowAverage struct {
+	salesUSD90    float64
+	salesUSD180   float64
+	salesUSD365   float64
+	salesUSDTotal float64
+}
+
+func productPerformanceProductRowAverages(rows []models.ProductPerformanceRow) productPerformanceProductRowAverage {
+	var sum90, count90, sum180, count180, sum365, count365, sumTotal, countTotal float64
+	for _, row := range rows {
+		if row.SalesUSD90 > 0 {
+			sum90 += row.SalesUSD90
+			count90++
+		}
+		if row.SalesUSD180 > 0 {
+			sum180 += row.SalesUSD180
+			count180++
+		}
+		if row.SalesUSD365 > 0 {
+			sum365 += row.SalesUSD365
+			count365++
+		}
+		if row.SalesUSDTotal > 0 {
+			sumTotal += row.SalesUSDTotal
+			countTotal++
+		}
+	}
+	out := productPerformanceProductRowAverage{}
+	if count90 > 0 {
+		out.salesUSD90 = sum90 / count90
+	}
+	if count180 > 0 {
+		out.salesUSD180 = sum180 / count180
+	}
+	if count365 > 0 {
+		out.salesUSD365 = sum365 / count365
+	}
+	if countTotal > 0 {
+		out.salesUSDTotal = sumTotal / countTotal
+	}
+	return out
+}
+
+func productPerformanceProductRowTotalPeriodDays(row models.ProductPerformanceRow) float64 {
+	return productPerformancePeriodDays(map[string]any{"kpi_date": row.KpiDate}, "total")
+}
+
+func productPerformanceMarginFromSales(salesUSD, salesQty, unitCost float64) float64 {
+	if salesUSD <= 0 {
+		return 0
+	}
+	return (salesUSD - (salesQty * unitCost)) / salesUSD
+}
+
 func GetProductPerformanceSummary(ctx context.Context, pg *sql.DB) (models.ProductPerformanceSummary, error) {
 	if err := EnsureProductPerformanceTables(pg); err != nil {
 		return models.ProductPerformanceSummary{}, err
@@ -1789,7 +1980,7 @@ KPI AS (
   SELECT *
   FROM mk_product_performance_kpi_daily
   WHERE kpi_date = (SELECT kpi_date FROM Latest)
-    AND upper(btrim(COALESCE(urun_ilk_grubu,''))) NOT IN ('MALZEMELI FASON', 'MALZEMESIZ FASON', 'DIGER')
+    AND upper(translate(btrim(COALESCE(urun_ilk_grubu,'')), U&'\0130\015E\011E\00DC\00D6\00C7\0131\015F\011F\00FC\00F6\00E7', 'ISGUOCisguoc')) NOT IN ('MALZEMELI FASON', 'MALZEMESIZ FASON', 'MAZLEMELI FASON', 'MAZEMESIZ FASON', 'DIGER')
 ),
 VariantStock AS (
   SELECT
@@ -1816,7 +2007,7 @@ Sales90 AS (
     COUNT(DISTINCT NULLIF(customer_code, '-')) AS customer_count_90d
   FROM mk_product_performance_sales_daily
   WHERE sales_date BETWEEN (SELECT kpi_date FROM Latest) - INTERVAL '89 days' AND (SELECT kpi_date FROM Latest)
-    AND upper(btrim(COALESCE(urun_ilk_grubu,''))) NOT IN ('MALZEMELI FASON', 'MALZEMESIZ FASON', 'DIGER')
+    AND upper(translate(btrim(COALESCE(urun_ilk_grubu,'')), U&'\0130\015E\011E\00DC\00D6\00C7\0131\015F\011F\00FC\00F6\00E7', 'ISGUOCisguoc')) NOT IN ('MALZEMELI FASON', 'MALZEMESIZ FASON', 'MAZLEMELI FASON', 'MAZEMESIZ FASON', 'DIGER')
 )
 SELECT
   COALESCE(to_char(MAX(kpi_date),'YYYY-MM-DD'),''),
@@ -1852,6 +2043,7 @@ func ListProductPerformanceGeneral(ctx context.Context, pg *sql.DB, limit int) (
 	if rows, ok, err := loadProductPerformanceSnapshotRows[models.ProductPerformanceGeneralRow](ctx, pg, productPerformanceSnapshotKey("general"), limit); err != nil {
 		return nil, err
 	} else if ok {
+		applyProductPerformanceGeneralRowScores(rows)
 		return rows, nil
 	}
 	rows, err := pg.QueryContext(ctx, `
@@ -1887,11 +2079,11 @@ SalesAgg AS (
     MAX(last_ref_number) AS last_ref_number,
     COALESCE(SUM(sales_qty),0) AS sales_qty_total,
     COALESCE(SUM(sales_usd),0) AS sales_usd_total,
-    COALESCE(COUNT(DISTINCT NULLIF(customer_code, '-')),0)::integer AS customer_count_total,
+    COALESCE(COUNT(DISTINCT NULLIF(customer_code, '-')) FILTER (WHERE COALESCE(sales_usd,0) > 0),0)::integer AS customer_count_total,
     COALESCE(SUM(invoice_count),0)::integer AS invoice_count_total
   FROM mk_product_performance_sales_daily, Bounds
   WHERE sales_date BETWEEN Bounds.period_start AND Bounds.period_end
-    AND upper(btrim(COALESCE(urun_ilk_grubu,''))) NOT IN ('MALZEMELI FASON', 'MALZEMESIZ FASON', 'DIGER')
+    AND upper(translate(btrim(COALESCE(urun_ilk_grubu,'')), U&'\0130\015E\011E\00DC\00D6\00C7\0131\015F\011F\00FC\00F6\00E7', 'ISGUOCisguoc')) NOT IN ('MALZEMELI FASON', 'MALZEMESIZ FASON', 'MAZLEMELI FASON', 'MAZEMESIZ FASON', 'DIGER')
   GROUP BY product_code, color_code, yaka_kodu, market_key
 ),
 StockAgg AS (
@@ -1943,7 +2135,7 @@ Dim AS (
       1 AS src_rank
     FROM mk_product_performance_kpi_daily
     WHERE kpi_date = (SELECT MAX(kpi_date) FROM mk_product_performance_kpi_daily)
-      AND upper(btrim(COALESCE(urun_ilk_grubu,''))) NOT IN ('MALZEMELI FASON', 'MALZEMESIZ FASON', 'DIGER')
+      AND upper(translate(btrim(COALESCE(urun_ilk_grubu,'')), U&'\0130\015E\011E\00DC\00D6\00C7\0131\015F\011F\00FC\00F6\00E7', 'ISGUOCisguoc')) NOT IN ('MALZEMELI FASON', 'MALZEMESIZ FASON', 'MAZLEMELI FASON', 'MAZEMESIZ FASON', 'DIGER')
     UNION ALL
     SELECT
       product_code,
@@ -1959,7 +2151,7 @@ Dim AS (
       MAX(urun_alt_grubu) AS urun_alt_grubu,
       2 AS src_rank
     FROM mk_product_performance_sales_daily
-    WHERE upper(btrim(COALESCE(urun_ilk_grubu,''))) NOT IN ('MALZEMELI FASON', 'MALZEMESIZ FASON', 'DIGER')
+    WHERE upper(translate(btrim(COALESCE(urun_ilk_grubu,'')), U&'\0130\015E\011E\00DC\00D6\00C7\0131\015F\011F\00FC\00F6\00E7', 'ISGUOCisguoc')) NOT IN ('MALZEMELI FASON', 'MALZEMESIZ FASON', 'MAZLEMELI FASON', 'MAZEMESIZ FASON', 'DIGER')
     GROUP BY product_code, color_code, yaka_kodu
   ) x
   ORDER BY product_code, color_code, yaka_kodu, src_rank
@@ -1991,7 +2183,7 @@ StockOnly AS (
    AND d.color_code = s.color_code
    AND d.yaka_kodu = s.yaka_kodu
   WHERE s.stock_date = (SELECT stock_date FROM LatestStockDate)
-    AND upper(btrim(COALESCE(d.urun_ilk_grubu,''))) NOT IN ('MALZEMELI FASON', 'MALZEMESIZ FASON', 'DIGER')
+    AND upper(translate(btrim(COALESCE(d.urun_ilk_grubu,'')), U&'\0130\015E\011E\00DC\00D6\00C7\0131\015F\011F\00FC\00F6\00E7', 'ISGUOCisguoc')) NOT IN ('MALZEMELI FASON', 'MALZEMESIZ FASON', 'MAZLEMELI FASON', 'MAZEMESIZ FASON', 'DIGER')
     AND NOT EXISTS (
       SELECT 1
       FROM SalesAgg a
@@ -2011,11 +2203,11 @@ Spread AS (
     product_code,
     color_code,
     yaka_kodu,
-    COUNT(DISTINCT NULLIF(market_key, 'STOK'))::integer AS market_count_total,
-    COUNT(DISTINCT NULLIF(customer_code, '-'))::integer AS customer_count_total_all
+    COUNT(DISTINCT NULLIF(market_key, 'STOK')) FILTER (WHERE COALESCE(sales_usd,0) > 0)::integer AS market_count_total,
+    COUNT(DISTINCT NULLIF(customer_code, '-')) FILTER (WHERE COALESCE(sales_usd,0) > 0)::integer AS customer_count_total_all
   FROM mk_product_performance_sales_daily, Bounds
   WHERE sales_date BETWEEN Bounds.period_start AND Bounds.period_end
-    AND upper(btrim(COALESCE(urun_ilk_grubu,''))) NOT IN ('MALZEMELI FASON', 'MALZEMESIZ FASON', 'DIGER')
+    AND upper(translate(btrim(COALESCE(urun_ilk_grubu,'')), U&'\0130\015E\011E\00DC\00D6\00C7\0131\015F\011F\00FC\00F6\00E7', 'ISGUOCisguoc')) NOT IN ('MALZEMELI FASON', 'MALZEMESIZ FASON', 'MAZLEMELI FASON', 'MAZEMESIZ FASON', 'DIGER')
   GROUP BY product_code, color_code, yaka_kodu
 ),
 Scored AS (
@@ -2049,8 +2241,8 @@ Scored AS (
     CASE WHEN b.sales_usd_total <= 0 THEN 0 ELSE (b.sales_usd_total - (b.sales_qty_total * COALESCE(pd.cost_price_usd,0))) / NULLIF(b.sales_usd_total,0) END AS gross_margin_total,
     CASE WHEN b.sales_qty_total <= 0 THEN 0 ELSE (b.sales_usd_total / NULLIF(b.sales_qty_total,0)) - COALESCE(pd.cost_price_usd,0) END AS unit_profit_cost_total,
     CASE WHEN b.sales_qty_total <= 0 THEN 0 ELSE (b.sales_usd_total / NULLIF(b.sales_qty_total,0)) - COALESCE(pd.base_price_usd,0) END AS unit_profit_base_total,
-    COALESCE(sp.market_count_total,0) AS market_count_total,
-    COALESCE(sp.customer_count_total_all, b.customer_count_total) AS customer_count_total,
+    CASE WHEN b.market_key <> 'STOK' AND b.sales_usd_total > 0 THEN 1 ELSE 0 END AS market_count_total,
+    b.customer_count_total AS customer_count_total,
     b.invoice_count_total,
     CASE
       WHEN AVG(b.sales_qty_total) OVER (PARTITION BY b.market_key, b.kategori, b.urun_ana_grubu) <= 0 THEN 0
@@ -2099,7 +2291,7 @@ SELECT
     WHEN sales_qty_total > 0 AND stock_qty <= 0 AND sales_index_total >= 1 THEN 'STOKSUZ_TALEP'
     WHEN sales_qty_total = 0 AND stock_qty > 0 THEN 'STOK_RISKI'
     WHEN gross_margin_total < 0 THEN 'FIYAT_BASKISI'
-    WHEN sales_index_total >= 1.4 AND gross_margin_total >= 0.25 THEN 'YILDIZ_URUN'
+    WHEN sales_index_total >= 1.4 AND gross_margin_total >= 0.45 THEN 'YILDIZ_URUN'
     WHEN gross_margin_total >= 0.35 AND sales_index_total < 0.8 THEN 'FIYAT_FIRSATI'
     ELSE 'TAKIP'
   END AS performance_bucket,
@@ -2107,7 +2299,7 @@ SELECT
     WHEN sales_qty_total > 0 AND stock_qty <= 0 THEN 'Talep var, stok yok. Uretim/satin alma onceligi ver.'
     WHEN sales_qty_total = 0 AND stock_qty > 0 THEN 'Satis yok, stok maliyeti tasiyor. Piyasa/fiyat aksiyonu gerekli.'
     WHEN gross_margin_total < 0 THEN 'Ciplak maliyet altinda satis var. Fiyat veya maliyet kontrol edilmeli.'
-    WHEN sales_index_total >= 1.4 AND gross_margin_total >= 0.25 THEN 'Genel donemde guclu urun. Stok ve fiyat korunmali.'
+    WHEN sales_index_total >= 1.4 AND gross_margin_total >= 0.45 THEN 'Genel donemde guclu urun. Stok ve fiyat korunmali.'
     WHEN gross_margin_total >= 0.35 AND sales_index_total < 0.8 THEN 'Karli ama yavas. Dogru piyasada satis firsati var.'
     ELSE 'Izleme ve piyasa bazli aksiyon.'
   END AS recommendation,
@@ -2147,9 +2339,28 @@ LIMIT $1
 	for i := range out {
 		out[i].ColorDescription = colorDescriptions[normalizeProductPerformanceCode(out[i].ColorCode)]
 	}
+	applyProductPerformanceGeneralRowScores(out)
 	return out, nil
 }
 
+func applyProductPerformanceGeneralRowScores(rows []models.ProductPerformanceGeneralRow) {
+	for i := range rows {
+		turnover := 0.0
+		if rows[i].StockQty > 0 {
+			turnover = rows[i].SalesQtyTotal / rows[i].StockQty
+		}
+		rows[i].PerformanceScore = productPerformanceProductScore(
+			"total",
+			rows[i].SalesUSDTotal,
+			rows[i].SalesIndexTotal,
+			rows[i].GrossMarginTotal,
+			turnover,
+			float64(rows[i].MarketCountTotal),
+			float64(rows[i].CustomerCountTotal),
+		)
+	}
+}
+
 func ListProductPerformanceOrderAnalysis(ctx context.Context, pg *sql.DB, limit int) ([]models.ProductPerformanceOrderAnalysisRow, error) {
 	if db.MssqlDB == nil {
 		return nil, fmt.Errorf("mssql db nil")
@@ -3009,7 +3220,7 @@ SELECT
   COALESCE(AVG(NULLIF(stock_days_90d,0)),0) AS avg_stock_days_90d
 FROM mk_product_performance_kpi_daily
 WHERE kpi_date = (SELECT MAX(kpi_date) FROM mk_product_performance_kpi_daily)
-  AND upper(btrim(COALESCE(urun_ilk_grubu,''))) NOT IN ('MALZEMELI FASON', 'MALZEMESIZ FASON', 'DIGER')
+  AND upper(translate(btrim(COALESCE(urun_ilk_grubu,'')), U&'\0130\015E\011E\00DC\00D6\00C7\0131\015F\011F\00FC\00F6\00E7', 'ISGUOCisguoc')) NOT IN ('MALZEMELI FASON', 'MALZEMESIZ FASON', 'MAZLEMELI FASON', 'MAZEMESIZ FASON', 'DIGER')
 GROUP BY market_key
 ORDER BY risk_stock_cost_value_usd DESC, stock_cost_value_usd DESC, sales_usd_90d DESC
 LIMIT $1
@@ -3064,13 +3275,13 @@ SELECT
     ELSE COALESCE(SUM(sales_usd) FILTER (WHERE sales_date >= current_date - INTERVAL '89 days'),0)
        / NULLIF(SUM(sales_qty) FILTER (WHERE sales_date >= current_date - INTERVAL '89 days'),0)
   END AS avg_price_usd_90d,
-  COALESCE(SUM(customer_count) FILTER (WHERE sales_date >= current_date - INTERVAL '89 days'),0)::integer AS customer_count_90d,
+  COUNT(DISTINCT NULLIF(customer_code, '-')) FILTER (WHERE sales_date >= current_date - INTERVAL '89 days' AND COALESCE(sales_usd,0) > 0)::integer AS customer_count_90d,
   COALESCE(SUM(invoice_count) FILTER (WHERE sales_date >= current_date - INTERVAL '89 days'),0)::integer AS invoice_count_90d,
   COALESCE(SUM(sales_qty) FILTER (WHERE sales_date >= current_date - INTERVAL '364 days'),0) AS sales_qty_365d,
   COALESCE(SUM(sales_usd) FILTER (WHERE sales_date >= current_date - INTERVAL '364 days'),0) AS sales_usd_365d
 FROM mk_product_performance_sales_daily
 WHERE sales_date >= current_date - INTERVAL '364 days'
-  AND upper(btrim(COALESCE(urun_ilk_grubu,''))) NOT IN ('MALZEMELI FASON', 'MALZEMESIZ FASON', 'DIGER')
+  AND upper(translate(btrim(COALESCE(urun_ilk_grubu,'')), U&'\0130\015E\011E\00DC\00D6\00C7\0131\015F\011F\00FC\00F6\00E7', 'ISGUOCisguoc')) NOT IN ('MALZEMELI FASON', 'MALZEMESIZ FASON', 'MAZLEMELI FASON', 'MAZEMESIZ FASON', 'DIGER')
 GROUP BY customer_country, customer_segment, market_key
 ORDER BY sales_usd_90d DESC, sales_qty_90d DESC
 LIMIT $1
@@ -3155,7 +3366,7 @@ SELECT
 FROM mk_product_performance_sales_daily
 WHERE sales_date >= current_date - INTERVAL '364 days'
   AND COALESCE(customer_code,'') <> ''
-  AND upper(btrim(COALESCE(urun_ilk_grubu,''))) NOT IN ('MALZEMELI FASON', 'MALZEMESIZ FASON', 'DIGER')
+  AND upper(translate(btrim(COALESCE(urun_ilk_grubu,'')), U&'\0130\015E\011E\00DC\00D6\00C7\0131\015F\011F\00FC\00F6\00E7', 'ISGUOCisguoc')) NOT IN ('MALZEMELI FASON', 'MALZEMESIZ FASON', 'MAZLEMELI FASON', 'MAZEMESIZ FASON', 'DIGER')
 GROUP BY %s
 ORDER BY sales_usd_90d DESC, sales_qty_90d DESC
 LIMIT $1
@@ -3198,7 +3409,7 @@ func ListProductPerformanceSalesBreakdown(ctx context.Context, pg *sql.DB, break
 		"item_description": "MAX(s.item_description)",
 		"kategori":         "COALESCE(MAX(s.kategori),'')",
 		"askili_yan":       "COALESCE(MAX(CASE WHEN btrim(COALESCE(s.askili_yan,'')) = '-' THEN '' ELSE s.askili_yan END),'')",
-		"urun_ilk_grubu":   "COALESCE(MAX(CASE WHEN btrim(COALESCE(s.urun_ilk_grubu,'')) = '-' THEN '' WHEN upper(translate(btrim(COALESCE(s.urun_ilk_grubu,'')), 'İŞĞÜÖÇ', 'ISGUOC')) IN ('YETISKIN', 'YETISKIN/GARSON', 'GARSON') THEN '' ELSE s.urun_ilk_grubu END),'')",
+		"urun_ilk_grubu":   "COALESCE(MAX(" + productPerformanceCleanFirstGroupSQL("s.urun_ilk_grubu") + "),'')",
 		"urun_ana_grubu":   "COALESCE(MAX(s.urun_ana_grubu),'')",
 		"urun_alt_grubu":   "MAX(s.urun_alt_grubu)",
 		"market_key":       "s.market_key",
@@ -3225,7 +3436,7 @@ func ListProductPerformanceSalesBreakdown(ctx context.Context, pg *sql.DB, break
 		selected["market_key"] = true
 		selected["customer_code"] = true
 		selected["customer_name"] = true
-		groupCols = []string{"CASE WHEN btrim(COALESCE(s.urun_ilk_grubu,'')) = '-' THEN '' WHEN upper(translate(btrim(COALESCE(s.urun_ilk_grubu,'')), 'İŞĞÜÖÇ', 'ISGUOC')) IN ('YETISKIN', 'YETISKIN/GARSON', 'GARSON') THEN '' ELSE s.urun_ilk_grubu END", "s.color_code", "s.yaka_kodu", "CASE WHEN btrim(COALESCE(s.askili_yan,'')) = '-' THEN '' ELSE s.askili_yan END", "s.kategori", "s.urun_ana_grubu", "s.urun_alt_grubu", "s.product_code", "s.customer_country", "s.market_key", "s.customer_segment", "s.customer_code"}
+		groupCols = []string{productPerformanceCleanFirstGroupSQL("s.urun_ilk_grubu"), "s.color_code", "s.yaka_kodu", "CASE WHEN btrim(COALESCE(s.askili_yan,'')) = '-' THEN '' ELSE s.askili_yan END", "s.kategori", "s.urun_ana_grubu", "s.urun_alt_grubu", "s.product_code", "s.customer_country", "s.market_key", "s.customer_segment", "s.customer_code"}
 	case "product_country_segment_market_customer":
 		selected["product_code"] = true
 		selected["item_description"] = true
@@ -3288,12 +3499,13 @@ func ListProductPerformanceSalesBreakdown(ctx context.Context, pg *sql.DB, break
 		selected["market_key"] = true
 		selected["customer_code"] = true
 		selected["customer_name"] = true
-		groupCols = []string{"CASE WHEN btrim(COALESCE(s.urun_ilk_grubu,'')) = '-' THEN '' WHEN upper(translate(btrim(COALESCE(s.urun_ilk_grubu,'')), 'İŞĞÜÖÇ', 'ISGUOC')) IN ('YETISKIN', 'YETISKIN/GARSON', 'GARSON') THEN '' ELSE s.urun_ilk_grubu END", "s.color_code", "s.yaka_kodu", "CASE WHEN btrim(COALESCE(s.askili_yan,'')) = '-' THEN '' ELSE s.askili_yan END", "s.kategori", "s.urun_ana_grubu", "s.urun_alt_grubu", "s.product_code", "s.customer_country", "s.market_key", "s.customer_segment", "s.customer_code"}
+		groupCols = []string{productPerformanceCleanFirstGroupSQL("s.urun_ilk_grubu"), "s.color_code", "s.yaka_kodu", "CASE WHEN btrim(COALESCE(s.askili_yan,'')) = '-' THEN '' ELSE s.askili_yan END", "s.kategori", "s.urun_ana_grubu", "s.urun_alt_grubu", "s.product_code", "s.customer_country", "s.market_key", "s.customer_segment", "s.customer_code"}
 	}
 
 	if rows, ok, err := loadProductPerformanceSnapshotRows[models.ProductPerformanceSalesBreakdownRow](ctx, pg, productPerformanceSnapshotKey("sales-breakdown", mode), limit); err != nil {
 		return nil, err
 	} else if ok {
+		applyProductPerformanceSalesBreakdownScores(rows)
 		return rows, nil
 	}
 
@@ -3314,14 +3526,14 @@ WITH LatestKPI AS (
     CASE WHEN btrim(COALESCE(askili_yan,'')) = '-' THEN '' ELSE COALESCE(askili_yan,'') END AS askili_yan,
     CASE
       WHEN btrim(COALESCE(urun_ilk_grubu,'')) = '-' THEN ''
-      WHEN upper(translate(btrim(COALESCE(urun_ilk_grubu,'')), 'İŞĞÜÖÇ', 'ISGUOC')) IN ('YETISKIN', 'YETISKIN/GARSON', 'GARSON') THEN ''
+      WHEN upper(translate(btrim(COALESCE(urun_ilk_grubu,'')), U&'\0130\015E\011E\00DC\00D6\00C7\0131\015F\011F\00FC\00F6\00E7', 'ISGUOCisguoc')) IN ('YETISKIN', 'YETISKIN/GARSON', 'GARSON') THEN ''
       ELSE COALESCE(urun_ilk_grubu,'')
     END AS urun_ilk_grubu,
     COALESCE(urun_ana_grubu,'') AS urun_ana_grubu,
     urun_alt_grubu
   FROM mk_product_performance_kpi_daily
   WHERE kpi_date = (SELECT MAX(kpi_date) FROM mk_product_performance_kpi_daily)
-    AND upper(btrim(COALESCE(urun_ilk_grubu,''))) NOT IN ('MALZEMELI FASON', 'MALZEMESIZ FASON', 'DIGER')
+    AND upper(translate(btrim(COALESCE(urun_ilk_grubu,'')), U&'\0130\015E\011E\00DC\00D6\00C7\0131\015F\011F\00FC\00F6\00E7', 'ISGUOCisguoc')) NOT IN ('MALZEMELI FASON', 'MALZEMESIZ FASON', 'MAZLEMELI FASON', 'MAZEMESIZ FASON', 'DIGER')
   ORDER BY product_code, color_code, yaka_kodu, performance_score DESC
 ),
 StockAgg AS (
@@ -3374,6 +3586,19 @@ StockTotalStart AS (
   WHERE stock_date <= DATE '2022-01-01'
   ORDER BY product_code, color_code, yaka_kodu, stock_date DESC
 ),
+FirstSaleByProduct AS (
+  SELECT
+    product_code,
+    color_code,
+    yaka_kodu,
+    MIN(sales_date) FILTER (WHERE sales_date >= current_date - INTERVAL '89 days') AS first_sale_date_90d,
+    MIN(sales_date) FILTER (WHERE sales_date >= current_date - INTERVAL '179 days') AS first_sale_date_180d,
+    MIN(sales_date) FILTER (WHERE sales_date >= current_date - INTERVAL '359 days') AS first_sale_date_365d,
+    MIN(sales_date) FILTER (WHERE sales_date >= DATE '2022-01-01') AS first_sale_date_total
+  FROM mk_product_performance_sales_daily
+  WHERE sales_date >= DATE '2022-01-01'
+  GROUP BY product_code, color_code, yaka_kodu
+),
 Agg AS (
   SELECT
     $2::text AS breakdown,
@@ -3392,12 +3617,20 @@ Agg AS (
     %s,
     %s,
     COUNT(DISTINCT product_code) AS product_count,
+    COUNT(DISTINCT COALESCE(NULLIF(urun_ana_grubu,''), NULLIF(urun_alt_grubu,''), NULLIF(kategori,''), product_code)) FILTER (WHERE sales_date >= current_date - INTERVAL '89 days')::integer AS product_group_count_90d,
+    COUNT(DISTINCT COALESCE(NULLIF(urun_ana_grubu,''), NULLIF(urun_alt_grubu,''), NULLIF(kategori,''), product_code)) FILTER (WHERE sales_date >= current_date - INTERVAL '179 days')::integer AS product_group_count_180d,
+    COUNT(DISTINCT COALESCE(NULLIF(urun_ana_grubu,''), NULLIF(urun_alt_grubu,''), NULLIF(kategori,''), product_code)) FILTER (WHERE sales_date >= current_date - INTERVAL '359 days')::integer AS product_group_count_365d,
+    COUNT(DISTINCT COALESCE(NULLIF(urun_ana_grubu,''), NULLIF(urun_alt_grubu,''), NULLIF(kategori,''), product_code)) FILTER (WHERE sales_date >= DATE '2022-01-01')::integer AS product_group_count_total,
+    COUNT(DISTINCT NULLIF(NULLIF(market_key,'STOK'),'')) FILTER (WHERE sales_date >= current_date - INTERVAL '89 days' AND COALESCE(sales_usd,0) > 0)::integer AS market_count_90d,
+    COUNT(DISTINCT NULLIF(NULLIF(market_key,'STOK'),'')) FILTER (WHERE sales_date >= current_date - INTERVAL '179 days' AND COALESCE(sales_usd,0) > 0)::integer AS market_count_180d,
+    COUNT(DISTINCT NULLIF(NULLIF(market_key,'STOK'),'')) FILTER (WHERE sales_date >= current_date - INTERVAL '359 days' AND COALESCE(sales_usd,0) > 0)::integer AS market_count_365d,
+    COUNT(DISTINCT NULLIF(NULLIF(market_key,'STOK'),'')) FILTER (WHERE sales_date >= DATE '2022-01-01' AND COALESCE(sales_usd,0) > 0)::integer AS market_count_total,
     COALESCE(MAX(stock_qty),0) AS stock_qty,
     COALESCE(MAX(avg_stock_90d),0) AS avg_stock_90d,
     COALESCE(MAX(avg_stock_180d),0) AS avg_stock_180d,
     COALESCE(MAX(avg_stock_365d),0) AS avg_stock_365d,
     COALESCE(MAX(avg_stock_total),0) AS avg_stock_total,
-    COUNT(DISTINCT customer_code) FILTER (WHERE sales_date >= current_date - INTERVAL '89 days' AND COALESCE(customer_code,'') <> '')::integer AS customer_count_90d,
+    COUNT(DISTINCT customer_code) FILTER (WHERE sales_date >= current_date - INTERVAL '89 days' AND COALESCE(customer_code,'') <> '' AND COALESCE(sales_usd,0) > 0)::integer AS customer_count_90d,
     COALESCE(SUM(invoice_count) FILTER (WHERE sales_date >= current_date - INTERVAL '89 days'),0)::integer AS invoice_count_90d,
     COALESCE(SUM(sales_qty) FILTER (WHERE sales_date >= current_date - INTERVAL '89 days'),0) AS sales_qty_90d,
     COALESCE(SUM(sales_usd) FILTER (WHERE sales_date >= current_date - INTERVAL '89 days'),0) AS sales_usd_90d,
@@ -3413,7 +3646,7 @@ Agg AS (
       ELSE COALESCE(SUM(sales_qty * cost_price_usd) FILTER (WHERE sales_date >= current_date - INTERVAL '89 days'),0)
         / NULLIF(SUM(sales_qty) FILTER (WHERE sales_date >= current_date - INTERVAL '89 days'),0)
     END AS cost_price_usd_90d,
-    COUNT(DISTINCT customer_code) FILTER (WHERE sales_date >= current_date - INTERVAL '179 days' AND COALESCE(customer_code,'') <> '')::integer AS customer_count_180d,
+    COUNT(DISTINCT customer_code) FILTER (WHERE sales_date >= current_date - INTERVAL '179 days' AND COALESCE(customer_code,'') <> '' AND COALESCE(sales_usd,0) > 0)::integer AS customer_count_180d,
     COALESCE(SUM(invoice_count) FILTER (WHERE sales_date >= current_date - INTERVAL '179 days'),0)::integer AS invoice_count_180d,
     COALESCE(SUM(sales_qty) FILTER (WHERE sales_date >= current_date - INTERVAL '179 days'),0) AS sales_qty_180d,
     COALESCE(SUM(sales_usd) FILTER (WHERE sales_date >= current_date - INTERVAL '179 days'),0) AS sales_usd_180d,
@@ -3431,7 +3664,7 @@ Agg AS (
     END AS cost_price_usd_180d,
     COALESCE(SUM(sales_qty) FILTER (WHERE sales_date >= current_date - INTERVAL '359 days'),0) AS sales_qty_365d,
     COALESCE(SUM(sales_usd) FILTER (WHERE sales_date >= current_date - INTERVAL '359 days'),0) AS sales_usd_365d,
-    COUNT(DISTINCT customer_code) FILTER (WHERE sales_date >= current_date - INTERVAL '359 days' AND COALESCE(customer_code,'') <> '')::integer AS customer_count_365d,
+    COUNT(DISTINCT customer_code) FILTER (WHERE sales_date >= current_date - INTERVAL '359 days' AND COALESCE(customer_code,'') <> '' AND COALESCE(sales_usd,0) > 0)::integer AS customer_count_365d,
     COALESCE(SUM(invoice_count) FILTER (WHERE sales_date >= current_date - INTERVAL '359 days'),0)::integer AS invoice_count_365d,
     CASE WHEN COALESCE(SUM(sales_qty) FILTER (WHERE sales_date >= current_date - INTERVAL '359 days'),0)=0 THEN 0
       ELSE COALESCE(SUM(sales_usd) FILTER (WHERE sales_date >= current_date - INTERVAL '359 days'),0)
@@ -3445,7 +3678,7 @@ Agg AS (
       ELSE COALESCE(SUM(sales_qty * cost_price_usd) FILTER (WHERE sales_date >= current_date - INTERVAL '359 days'),0)
         / NULLIF(SUM(sales_qty) FILTER (WHERE sales_date >= current_date - INTERVAL '359 days'),0)
     END AS cost_price_usd_365d,
-    COUNT(DISTINCT customer_code) FILTER (WHERE sales_date >= DATE '2022-01-01' AND COALESCE(customer_code,'') <> '')::integer AS customer_count_total,
+    COUNT(DISTINCT customer_code) FILTER (WHERE sales_date >= DATE '2022-01-01' AND COALESCE(customer_code,'') <> '' AND COALESCE(sales_usd,0) > 0)::integer AS customer_count_total,
     COALESCE(SUM(invoice_count) FILTER (WHERE sales_date >= DATE '2022-01-01'),0)::integer AS invoice_count_total,
     COALESCE(SUM(sales_qty) FILTER (WHERE sales_date >= DATE '2022-01-01'),0) AS sales_qty_total,
     COALESCE(SUM(sales_usd) FILTER (WHERE sales_date >= DATE '2022-01-01'),0) AS sales_usd_total,
@@ -3468,21 +3701,58 @@ Agg AS (
       COALESCE(pd.base_price_usd,0) AS base_price_usd,
       COALESCE(pd.cost_price_usd,0) AS cost_price_usd,
       COALESCE(st.stock_qty,0) AS stock_qty,
-      (COALESCE(s90.stock_qty,0) + COALESCE(st.stock_qty,0)) / 2.0 AS avg_stock_90d,
-      (COALESCE(s180.stock_qty,0) + COALESCE(st.stock_qty,0)) / 2.0 AS avg_stock_180d,
-      (COALESCE(s365.stock_qty,0) + COALESCE(st.stock_qty,0)) / 2.0 AS avg_stock_365d,
-      (COALESCE(stotal.stock_qty,0) + COALESCE(st.stock_qty,0)) / 2.0 AS avg_stock_total
+      (COALESCE(s90.stock_qty, st.stock_qty, 0) + COALESCE(st.stock_qty,0)) / 2.0 AS avg_stock_90d,
+      (COALESCE(s180.stock_qty, st.stock_qty, 0) + COALESCE(st.stock_qty,0)) / 2.0 AS avg_stock_180d,
+      (COALESCE(s365.stock_qty, st.stock_qty, 0) + COALESCE(st.stock_qty,0)) / 2.0 AS avg_stock_365d,
+      (COALESCE(stotal.stock_qty, st.stock_qty, 0) + COALESCE(st.stock_qty,0)) / 2.0 AS avg_stock_total
     FROM mk_product_performance_sales_daily s
     LEFT JOIN mk_product_performance_price_dim pd ON pd.product_code = s.product_code
     LEFT JOIN LatestKPI k ON k.product_code = s.product_code AND k.color_code = s.color_code AND k.yaka_kodu = s.yaka_kodu
+    LEFT JOIN FirstSaleByProduct fs ON fs.product_code = s.product_code AND fs.color_code = s.color_code AND fs.yaka_kodu = s.yaka_kodu
     LEFT JOIN StockAgg st ON st.product_code = s.product_code AND st.color_code = s.color_code AND st.yaka_kodu = s.yaka_kodu
-    LEFT JOIN Stock90Start s90 ON s90.product_code = s.product_code AND s90.color_code = s.color_code AND s90.yaka_kodu = s.yaka_kodu
-    LEFT JOIN Stock180Start s180 ON s180.product_code = s.product_code AND s180.color_code = s.color_code AND s180.yaka_kodu = s.yaka_kodu
-    LEFT JOIN Stock365Start s365 ON s365.product_code = s.product_code AND s365.color_code = s.color_code AND s365.yaka_kodu = s.yaka_kodu
-    LEFT JOIN StockTotalStart stotal ON stotal.product_code = s.product_code AND stotal.color_code = s.color_code AND stotal.yaka_kodu = s.yaka_kodu
+    LEFT JOIN LATERAL (
+      SELECT x.stock_qty
+      FROM mk_product_performance_stock_daily x
+      WHERE x.product_code = s.product_code
+        AND x.color_code = s.color_code
+        AND x.yaka_kodu = s.yaka_kodu
+        AND x.stock_date <= COALESCE(fs.first_sale_date_90d, current_date - INTERVAL '89 days')
+      ORDER BY x.stock_date DESC
+      LIMIT 1
+    ) s90 ON TRUE
+    LEFT JOIN LATERAL (
+      SELECT x.stock_qty
+      FROM mk_product_performance_stock_daily x
+      WHERE x.product_code = s.product_code
+        AND x.color_code = s.color_code
+        AND x.yaka_kodu = s.yaka_kodu
+        AND x.stock_date <= COALESCE(fs.first_sale_date_180d, current_date - INTERVAL '179 days')
+      ORDER BY x.stock_date DESC
+      LIMIT 1
+    ) s180 ON TRUE
+    LEFT JOIN LATERAL (
+      SELECT x.stock_qty
+      FROM mk_product_performance_stock_daily x
+      WHERE x.product_code = s.product_code
+        AND x.color_code = s.color_code
+        AND x.yaka_kodu = s.yaka_kodu
+        AND x.stock_date <= COALESCE(fs.first_sale_date_365d, current_date - INTERVAL '359 days')
+      ORDER BY x.stock_date DESC
+      LIMIT 1
+    ) s365 ON TRUE
+    LEFT JOIN LATERAL (
+      SELECT x.stock_qty
+      FROM mk_product_performance_stock_daily x
+      WHERE x.product_code = s.product_code
+        AND x.color_code = s.color_code
+        AND x.yaka_kodu = s.yaka_kodu
+        AND x.stock_date <= COALESCE(fs.first_sale_date_total, DATE '2022-01-01')
+      ORDER BY x.stock_date DESC
+      LIMIT 1
+    ) stotal ON TRUE
   ) s
   WHERE sales_date >= DATE '2022-01-01'
-    AND upper(btrim(COALESCE(urun_ilk_grubu,''))) NOT IN ('MALZEMELI FASON', 'MALZEMESIZ FASON', 'DIGER')
+    AND upper(translate(btrim(COALESCE(urun_ilk_grubu,'')), U&'\0130\015E\011E\00DC\00D6\00C7\0131\015F\011F\00FC\00F6\00E7', 'ISGUOCisguoc')) NOT IN ('MALZEMELI FASON', 'MALZEMESIZ FASON', 'MAZLEMELI FASON', 'MAZEMESIZ FASON', 'DIGER')
   GROUP BY %s
 ),
 Enriched AS (
@@ -3532,6 +3802,14 @@ SELECT
   customer_code,
   customer_name,
   product_count,
+  product_group_count_90d,
+  product_group_count_180d,
+  product_group_count_365d,
+  product_group_count_total,
+  market_count_90d,
+  market_count_180d,
+  market_count_365d,
+  market_count_total,
   stock_qty,
   customer_count_90d,
   invoice_count_90d,
@@ -3577,55 +3855,55 @@ SELECT
   gross_profit_cost_usd_total,
   gross_margin_base_total,
   gross_margin_cost_total,
-  CASE WHEN avg_stock_90d > 0 THEN sales_qty_90d / NULLIF(avg_stock_90d,0) ELSE 0 END AS stock_turnover_90d,
-  CASE WHEN avg_stock_180d > 0 THEN sales_qty_180d / NULLIF(avg_stock_180d,0) ELSE 0 END AS stock_turnover_180d,
+  avg_stock_90d,
+  avg_stock_180d,
+  avg_stock_365d,
+  avg_stock_total,
+  CASE WHEN avg_stock_90d > 0 THEN sales_qty_90d / NULLIF(avg_stock_90d,0) * 4.0 ELSE 0 END AS stock_turnover_90d,
+  CASE WHEN avg_stock_180d > 0 THEN sales_qty_180d / NULLIF(avg_stock_180d,0) * 2.0 ELSE 0 END AS stock_turnover_180d,
   CASE WHEN avg_stock_365d > 0 THEN sales_qty_365d / NULLIF(avg_stock_365d,0) ELSE 0 END AS stock_turnover_365d,
-  CASE WHEN avg_stock_total > 0 THEN sales_qty_total / NULLIF(avg_stock_total,0) ELSE 0 END AS stock_turnover_total,
+  CASE WHEN avg_stock_total > 0 THEN sales_qty_total / NULLIF(avg_stock_total,0) * 360.0 / GREATEST(1, (current_date - DATE '2022-01-01') + 1) ELSE 0 END AS stock_turnover_total,
   has_cost,
   sales_index_90d,
-  CASE WHEN NOT has_cost THEN 0 ELSE
+  CASE WHEN NOT has_cost THEN 0 WHEN sales_usd_90d <= 0 THEN 1 ELSE
     ROUND((
-      LEAST(35, sales_usd_90d / 1000)
-      + LEAST(25, GREATEST(gross_margin_cost_90d,0) * 55)
-      + LEAST(20, invoice_count_90d * 2)
-      + LEAST(10, sales_qty_90d / 10)
-      + LEAST(10, product_count)
+      LEAST(35, sales_usd_90d / 25000 * 35)
+      + LEAST(30, GREATEST(gross_margin_cost_90d,0) / 0.45 * 30)
+      + LEAST(20, product_group_count_90d / 8.0 * 20)
+      + LEAST(15, sales_qty_90d / 500 * 15)
     )::numeric, 4)
   END AS customer_score_90d,
-  CASE WHEN NOT has_cost THEN 0 ELSE
+  CASE WHEN NOT has_cost THEN 0 WHEN sales_usd_180d <= 0 THEN 1 ELSE
     ROUND((
-      LEAST(35, sales_usd_180d / 1000)
-      + LEAST(25, GREATEST(gross_margin_cost_180d,0) * 55)
-      + LEAST(20, invoice_count_180d * 2)
-      + LEAST(10, sales_qty_180d / 10)
-      + LEAST(10, product_count)
+      LEAST(35, sales_usd_180d / 50000 * 35)
+      + LEAST(30, GREATEST(gross_margin_cost_180d,0) / 0.45 * 30)
+      + LEAST(20, product_group_count_180d / 8.0 * 20)
+      + LEAST(15, sales_qty_180d / 1000 * 15)
     )::numeric, 4)
   END AS customer_score_180d,
-  CASE WHEN NOT has_cost THEN 0 ELSE
+  CASE WHEN NOT has_cost THEN 0 WHEN sales_usd_365d <= 0 THEN 1 ELSE
     ROUND((
-      LEAST(35, sales_usd_365d / 1000)
-      + LEAST(25, GREATEST(gross_margin_cost_365d,0) * 55)
-      + LEAST(20, invoice_count_365d * 2)
-      + LEAST(10, sales_qty_365d / 10)
-      + LEAST(10, product_count)
+      LEAST(35, sales_usd_365d / 100000 * 35)
+      + LEAST(30, GREATEST(gross_margin_cost_365d,0) / 0.45 * 30)
+      + LEAST(20, product_group_count_365d / 8.0 * 20)
+      + LEAST(15, sales_qty_365d / 2000 * 15)
     )::numeric, 4)
   END AS customer_score_365d,
-  CASE WHEN NOT has_cost THEN 0 ELSE
+  CASE WHEN NOT has_cost THEN 0 WHEN sales_usd_total <= 0 THEN 1 ELSE
     ROUND((
-      LEAST(35, sales_usd_total / 1000)
-      + LEAST(25, GREATEST(gross_margin_cost_total,0) * 55)
-      + LEAST(20, invoice_count_total * 2)
-      + LEAST(10, sales_qty_total / 10)
-      + LEAST(10, product_count)
+      LEAST(35, sales_usd_total / 300000 * 35)
+      + LEAST(30, GREATEST(gross_margin_cost_total,0) / 0.45 * 30)
+      + LEAST(20, product_group_count_total / 8.0 * 20)
+      + LEAST(15, sales_qty_total / 6000 * 15)
     )::numeric, 4)
   END AS customer_score_total,
-  CASE WHEN NOT has_cost THEN 0 ELSE
+  CASE WHEN NOT has_cost THEN 0 WHEN sales_usd_90d <= 0 THEN 1 ELSE
     ROUND(
-      LEAST(35, sales_index_90d * 18)
-      + LEAST(30, GREATEST(gross_margin_cost_90d,0) * 60)
-      + LEAST(15, invoice_count_90d * 1.5)
-      + LEAST(10, sales_qty_90d / 10)
-      + LEAST(10, (CASE WHEN avg_stock_90d > 0 THEN sales_qty_90d / NULLIF(avg_stock_90d,0) ELSE 0 END) * 5),
+      LEAST(30, GREATEST(gross_margin_cost_90d,0) / 0.45 * 30)
+      + LEAST(20, (CASE WHEN avg_stock_90d > 0 THEN sales_qty_90d / NULLIF(avg_stock_90d,0) * 4.0 ELSE 0 END) / 4.0 * 20)
+      + LEAST(20, sales_usd_90d / 25000 * 20)
+      + LEAST(5, market_count_90d / 3.0 * 5)
+      + LEAST(25, customer_count_90d / 8.0 * 25),
       4
     )
   END AS performance_score,
@@ -3638,8 +3916,8 @@ SELECT
     ELSE 'TAKIP'
   END AS performance_bucket,
   CASE
-    WHEN sales_index_90d >= 1.25 AND customer_count_90d >= 2 THEN 'Güçlü satış kırılımı'
-    WHEN sales_qty_90d = 0 AND sales_qty_365d > 0 THEN 'Son 90 gün zayıf, kontrol et'
+    WHEN sales_index_90d >= 1.25 AND customer_count_90d >= 2 THEN 'Guclu satis kirilimi'
+    WHEN sales_qty_90d = 0 AND sales_qty_365d > 0 THEN 'Son 90 gun zayif, kontrol et'
     ELSE 'Takip'
   END AS recommendation,
   last_sale_date
@@ -3677,7 +3955,9 @@ LIMIT $1
 			&r.Breakdown, &r.ProductCode, &r.ColorCode, &r.YakaKodu, &r.ItemDescription,
 			&r.Kategori, &r.AskiliYan, &r.UrunIlkGrubu, &r.UrunAnaGrubu, &r.UrunAltGrubu,
 			&r.MarketKey, &r.Country, &r.CustomerSegment, &r.CustomerCode, &r.CustomerName,
-			&r.ProductCount, &r.StockQty, &r.CustomerCount90, &r.InvoiceCount90, &r.SalesQty90, &r.SalesUSD90,
+			&r.ProductCount, &r.ProductGroupCount90, &r.ProductGroupCount180, &r.ProductGroupCount365, &r.ProductGroupCountTotal,
+			&r.MarketCount90, &r.MarketCount180, &r.MarketCount365, &r.MarketCountTotal,
+			&r.StockQty, &r.CustomerCount90, &r.InvoiceCount90, &r.SalesQty90, &r.SalesUSD90,
 			&r.AvgPriceUSD90, &r.BasePriceUSD90, &r.CostPriceUSD90, &r.GrossProfitBase90,
 			&r.GrossProfitCost90, &r.GrossMarginBase90, &r.GrossMarginCost90, &r.CustomerCount180,
 			&r.InvoiceCount180, &r.SalesQty180, &r.SalesUSD180, &r.AvgPriceUSD180, &r.BasePriceUSD180,
@@ -3687,6 +3967,7 @@ LIMIT $1
 			&r.GrossMarginCost365, &r.CustomerCount365, &r.InvoiceCount365, &r.CustomerCountTotal, &r.InvoiceCountTotal, &r.SalesQtyTotal, &r.SalesUSDTotal,
 			&r.AvgPriceUSDTotal, &r.BasePriceUSDTotal, &r.CostPriceUSDTotal, &r.GrossProfitBaseTotal,
 			&r.GrossProfitCostTotal, &r.GrossMarginBaseTotal, &r.GrossMarginCostTotal,
+			&r.AvgStock90, &r.AvgStock180, &r.AvgStock365, &r.AvgStockTotal,
 			&r.StockTurnover90, &r.StockTurnover180, &r.StockTurnover365, &r.StockTurnoverTotal, &r.HasCost,
 			&r.SalesIndex90, &r.CustomerScore90, &r.CustomerScore180, &r.CustomerScore365, &r.CustomerScoreTotal, &r.PerformanceScore,
 			&r.PerformanceBucket, &r.Recommendation, &r.LastSaleDate,
@@ -3703,9 +3984,52 @@ LIMIT $1
 	for i := range out {
 		out[i].ColorDescription = colorDescriptions[normalizeProductPerformanceCode(out[i].ColorCode)]
 	}
+	applyProductPerformanceSalesBreakdownScores(out)
 	return out, nil
 }
 
+func applyProductPerformanceSalesBreakdownScores(rows []models.ProductPerformanceSalesBreakdownRow) {
+	avg90 := productPerformanceSalesBreakdownAverage(rows, func(row models.ProductPerformanceSalesBreakdownRow) float64 { return row.SalesUSD90 })
+	avg180 := productPerformanceSalesBreakdownAverage(rows, func(row models.ProductPerformanceSalesBreakdownRow) float64 { return row.SalesUSD180 })
+	avg365 := productPerformanceSalesBreakdownAverage(rows, func(row models.ProductPerformanceSalesBreakdownRow) float64 { return row.SalesUSD365 })
+	avgTotal := productPerformanceSalesBreakdownAverage(rows, func(row models.ProductPerformanceSalesBreakdownRow) float64 { return row.SalesUSDTotal })
+
+	for i := range rows {
+		r := &rows[i]
+		r.SalesIndex90 = productPerformanceRelativeIndex(r.SalesUSD90, avg90)
+		r.SalesIndex180 = productPerformanceRelativeIndex(r.SalesUSD180, avg180)
+		r.SalesIndex365 = productPerformanceRelativeIndex(r.SalesUSD365, avg365)
+		r.SalesIndexTotal = productPerformanceRelativeIndex(r.SalesUSDTotal, avgTotal)
+
+		r.CustomerScore90 = productPerformanceCustomerScore("90d", r.SalesUSD90, r.GrossMarginCost90, float64(r.ProductGroupCount90), r.SalesQty90)
+		r.CustomerScore180 = productPerformanceCustomerScore("180d", r.SalesUSD180, r.GrossMarginCost180, float64(r.ProductGroupCount180), r.SalesQty180)
+		r.CustomerScore365 = productPerformanceCustomerScore("365d", r.SalesUSD365, r.GrossMarginCost365, float64(r.ProductGroupCount365), r.SalesQty365)
+		r.CustomerScoreTotal = productPerformanceCustomerScore("total", r.SalesUSDTotal, r.GrossMarginCostTotal, float64(r.ProductGroupCountTotal), r.SalesQtyTotal)
+
+		r.PerformanceScore90 = productPerformanceProductScore("90d", r.SalesUSD90, r.SalesIndex90, r.GrossMarginCost90, r.StockTurnover90, float64(r.MarketCount90), float64(r.CustomerCount90))
+		r.PerformanceScore180 = productPerformanceProductScore("180d", r.SalesUSD180, r.SalesIndex180, r.GrossMarginCost180, r.StockTurnover180, float64(r.MarketCount180), float64(r.CustomerCount180))
+		r.PerformanceScore365 = productPerformanceProductScore("365d", r.SalesUSD365, r.SalesIndex365, r.GrossMarginCost365, r.StockTurnover365, float64(r.MarketCount365), float64(r.CustomerCount365))
+		r.PerformanceScoreTotal = productPerformanceProductScore("total", r.SalesUSDTotal, r.SalesIndexTotal, r.GrossMarginCostTotal, r.StockTurnoverTotal, float64(r.MarketCountTotal), float64(r.CustomerCountTotal))
+		r.PerformanceScore = r.PerformanceScore90
+	}
+}
+
+func productPerformanceSalesBreakdownAverage(rows []models.ProductPerformanceSalesBreakdownRow, value func(models.ProductPerformanceSalesBreakdownRow) float64) float64 {
+	var sum, count float64
+	for _, row := range rows {
+		v := value(row)
+		if v <= 0 {
+			continue
+		}
+		sum += v
+		count++
+	}
+	if count == 0 {
+		return 0
+	}
+	return sum / count
+}
+
 type ProductPerformanceGroupedRequest struct {
 	Mode               string
 	GroupLevels        []string
@@ -3718,6 +4042,14 @@ type ProductPerformanceGroupedRequest struct {
 	Descending         bool
 }
 
+type ProductPerformanceGroupedFilterOptionsRequest struct {
+	Mode        string
+	GroupLevels []string
+	MainGroup   string
+	Fields      []string
+	Limit       int
+}
+
 func ListProductPerformanceGrouped(ctx context.Context, pg *sql.DB, req ProductPerformanceGroupedRequest) ([]map[string]any, error) {
 	if err := EnsureProductPerformanceTables(pg); err != nil {
 		return nil, err
@@ -3736,9 +4068,6 @@ func ListProductPerformanceGrouped(ctx context.Context, pg *sql.DB, req ProductP
 	if out, ok, err := loadProductPerformancePreparedGroupedRows(ctx, pg, req, levels); ok || err != nil {
 		return out, err
 	}
-	if !productPerformanceLiveFallbackEnabled() {
-		return []map[string]any{}, nil
-	}
 
 	sourceRows, err := productPerformanceGroupedSourceRows(ctx, pg, req.Mode, req.Limit)
 	if err != nil {
@@ -3747,6 +4076,7 @@ func ListProductPerformanceGrouped(ctx context.Context, pg *sql.DB, req ProductP
 	sourceRows = filterProductPerformanceGroupedRows(sourceRows, productPerformanceGroupedEffectiveFilters(req))
 	out := make([]map[string]any, 0, len(sourceRows))
 	appendProductPerformanceGroupedRows(&out, sourceRows, levels, 0, 0, []string{"tab:" + req.Mode}, req.ExpandedKeys, req.ExpandThroughLevel)
+	out = sortProductPerformancePreparedGroupedRows(out, req.SortBy, req.Descending)
 	if len(out) > 0 || !productPerformanceLiveFallbackEnabled() {
 		return out, nil
 	}
@@ -3756,13 +4086,118 @@ func ListProductPerformanceGrouped(ctx context.Context, pg *sql.DB, req ProductP
 	return out, nil
 }
 
+func ListProductPerformanceGroupedFilterOptions(ctx context.Context, pg *sql.DB, req ProductPerformanceGroupedFilterOptionsRequest) (map[string][]string, error) {
+	if err := EnsureProductPerformanceTables(pg); err != nil {
+		return nil, err
+	}
+	if req.Limit <= 0 || req.Limit > 50000 {
+		req.Limit = 50000
+	}
+	levels := sanitizeProductPerformanceGroupLevels(req.GroupLevels)
+	if len(levels) == 0 {
+		levels = defaultProductPerformanceGroupLevels(req.Mode)
+	}
+	reportKey := productPerformanceGroupedSnapshotReportKey(req.Mode, levels, req.MainGroup)
+	if strings.TrimSpace(reportKey) == "" {
+		return map[string][]string{}, nil
+	}
+	levelSet := map[string]bool{}
+	for _, level := range levels {
+		levelSet[level] = true
+	}
+	out := map[string][]string{}
+	for _, field := range req.Fields {
+		field = strings.TrimSpace(field)
+		if !productPerformanceGroupedFilterOptionFieldAllowed(field) {
+			continue
+		}
+		values, err := productPerformanceGroupedSnapshotFilterOptions(ctx, pg, reportKey, field, levelSet, strings.TrimSpace(req.MainGroup), req.Limit)
+		if err != nil {
+			return nil, err
+		}
+		out[field] = values
+	}
+	return out, nil
+}
+
+func productPerformanceGroupedFilterOptionFieldAllowed(field string) bool {
+	switch field {
+	case "kategori", "askili_yan", "urun_ilk_grubu", "urun_ana_grubu", "urun_alt_grubu",
+		"product_code", "color_yaka", "market_key", "country", "customer_segment",
+		"customer_code", "customer_name", "performance_bucket":
+		return true
+	default:
+		return false
+	}
+}
+
+func productPerformanceGroupedSnapshotFilterOptions(ctx context.Context, pg *sql.DB, reportKey, field string, levelSet map[string]bool, mainGroup string, limit int) ([]string, error) {
+	if field == "urun_ana_grubu" && strings.Contains(reportKey, ":product_detail:") && strings.TrimSpace(mainGroup) != "" {
+		return []string{strings.TrimSpace(mainGroup)}, nil
+	}
+	if field == "performance_bucket" {
+		return productPerformanceGroupedSnapshotPayloadOptions(ctx, pg, reportKey, "performance_bucket", limit)
+	}
+	if !levelSet[field] {
+		return []string{}, nil
+	}
+	rows, err := pg.QueryContext(ctx, `
+SELECT DISTINCT btrim(group_value) AS value
+FROM mk_product_performance_grouped_snapshot
+WHERE report_key = $1
+  AND group_field = $2
+  AND btrim(group_value) <> ''
+ORDER BY value
+LIMIT $3
+`, reportKey, field, limit)
+	if err != nil {
+		return nil, err
+	}
+	defer rows.Close()
+	return scanProductPerformanceGroupedFilterOptionRows(rows)
+}
+
+func productPerformanceGroupedSnapshotPayloadOptions(ctx context.Context, pg *sql.DB, reportKey, field string, limit int) ([]string, error) {
+	rows, err := pg.QueryContext(ctx, `
+SELECT DISTINCT btrim(payload ->> $2) AS value
+FROM mk_product_performance_grouped_snapshot
+WHERE report_key = $1
+  AND btrim(payload ->> $2) <> ''
+ORDER BY value
+LIMIT $3
+`, reportKey, field, limit)
+	if err != nil {
+		return nil, err
+	}
+	defer rows.Close()
+	return scanProductPerformanceGroupedFilterOptionRows(rows)
+}
+
+func scanProductPerformanceGroupedFilterOptionRows(rows *sql.Rows) ([]string, error) {
+	out := []string{}
+	for rows.Next() {
+		var value string
+		if err := rows.Scan(&value); err != nil {
+			return nil, err
+		}
+		value = strings.TrimSpace(value)
+		if value != "" {
+			out = append(out, value)
+		}
+	}
+	return out, rows.Err()
+}
+
 func loadProductPerformancePreparedGroupedRows(ctx context.Context, pg *sql.DB, req ProductPerformanceGroupedRequest, levels []string) ([]map[string]any, bool, error) {
 	reportKey := productPerformanceGroupedSnapshotReportKey(req.Mode, levels, req.MainGroup)
 	if strings.TrimSpace(reportKey) == "" {
 		return nil, false, nil
 	}
-	effectiveFilters := productPerformanceGroupedEffectiveFilters(req)
+	effectiveFilters := productPerformancePreparedGroupedEffectiveFilters(req)
 	hasFilters := len(effectiveFilters) > 0
+	if hasFilters {
+		return nil, false, nil
+	}
 	hasManualExpansion := len(req.ExpandedKeys) > 0
 	query := `
 SELECT payload
@@ -3823,7 +4258,6 @@ SELECT EXISTS (
 			return nil, false, nil
 		}
 	}
-	out = filterProductPerformancePreparedGroupedRows(out, effectiveFilters)
 	out = filterProductPerformanceGroupedRowsForExpansion(out, req.ExpandedKeys, req.ExpandThroughLevel, req.Limit)
 	out = sortProductPerformancePreparedGroupedRows(out, req.SortBy, req.Descending)
 	return out, true, nil
@@ -3982,8 +4416,12 @@ func listProductPerformanceGroupedSQL(ctx context.Context, pg *sql.DB, req Produ
 	out := make([]map[string]any, 0, 512)
 	filters := productPerformanceGroupedBaseFilters(req)
 	err := appendProductPerformanceGroupedSQLRows(ctx, pg, &out, mode, levels, 0, 0, []string{"tab:" + mode}, filters, req.ExpandedKeys, req.ExpandThroughLevel, req.Limit)
+	if err != nil {
 		return out, true, err
 	}
+	out = sortProductPerformancePreparedGroupedRows(out, req.SortBy, req.Descending)
+	return out, true, nil
+}
 
 func productPerformanceGroupedBaseFilters(req ProductPerformanceGroupedRequest) []productPerformanceSQLGroupFilter {
 	effectiveFilters := productPerformanceGroupedEffectiveFilters(req)
@@ -4016,6 +4454,21 @@ func productPerformanceGroupedEffectiveFilters(req ProductPerformanceGroupedRequ
 	return filters
 }
 
+func productPerformancePreparedGroupedEffectiveFilters(req ProductPerformanceGroupedRequest) map[string][]string {
+	filters := make(map[string][]string, len(req.Filters))
+	for field, values := range req.Filters {
+		if strings.TrimSpace(req.Mode) == "product_detail" && field == "urun_ana_grubu" {
+			continue
+		}
+		cleanValues := cleanProductPerformanceFilterValues(values)
+		if len(cleanValues) == 0 {
+			continue
+		}
+		filters[field] = cleanValues
+	}
+	return filters
+}
+
 func appendProductPerformanceGroupedSQLRows(ctx context.Context, pg *sql.DB, out *[]map[string]any, mode string, levels []string, level int, visualLevel int, parentKeys []string, filters []productPerformanceSQLGroupFilter, expandedKeys map[string]bool, expandThroughLevel int, limit int) error {
 	if level >= len(levels) {
 		return nil
@@ -4045,6 +4498,7 @@ func appendProductPerformanceGroupedSQLRows(ctx context.Context, pg *sql.DB, out
 		row["label"] = value
 		row["__group"] = true
 		row[field] = value
+		deriveProductPerformanceGroupMetrics(row, field)
 		*out = append(*out, row)
 		if expandedKeys[key] || level <= expandThroughLevel {
 			nextFilters := append(append([]productPerformanceSQLGroupFilter{}, filters...), productPerformanceSQLGroupFilter{Field: field, Value: value})
@@ -4070,6 +4524,8 @@ SELECT (
   jsonb_build_object(
     'group_value', group_value,
     'label', group_value,
+    'period_start', '2022-01-01',
+    'period_end', COALESCE(to_char((SELECT kpi_date FROM LatestKPIDate),'YYYY-MM-DD'), ''),
     'count', row_count,
     'recommendation', CASE WHEN recommendation <> '' THEN recommendation ELSE row_count::text || ' satir' END,
     'image_product_code', image_product_code,
@@ -4088,6 +4544,10 @@ SELECT (
   )
   || jsonb_build_object(
     'stock_qty', stock_qty,
+    'avg_stock_90d', avg_stock_90d,
+    'avg_stock_180d', avg_stock_180d,
+    'avg_stock_365d', avg_stock_365d,
+    'avg_stock_total', avg_stock_total,
     'sales_qty_90d', sales_qty_90d,
     'sales_qty_180d', sales_qty_180d,
     'sales_qty_365d', sales_qty_365d,
@@ -4112,8 +4572,17 @@ SELECT (
     'unit_profit_base_90d', unit_profit_base_90d,
     'unit_profit_base_180d', unit_profit_base_180d,
     'market_count_90d', market_count_90d,
+    'market_count_180d', market_count_180d,
+    'market_count_365d', market_count_365d,
+    'market_count_total', market_count_total,
     'customer_count_90d', customer_count_90d,
+    'customer_count_180d', customer_count_180d,
+    'customer_count_365d', customer_count_365d,
+    'customer_count_total', customer_count_total,
     'sales_index_90d', sales_index_90d,
+    'sales_index_180d', sales_index_180d,
+    'sales_index_365d', sales_index_365d,
+    'sales_index_total', sales_index_total,
     'price_index_90d', price_index_90d,
     'margin_index_90d', margin_index_90d,
     'performance_score', performance_score,
@@ -4123,10 +4592,10 @@ SELECT (
     'stock_days_180d', stock_days_180d,
     'stock_days_365d', stock_days_365d,
     'stock_days_total', stock_days_total,
-    'stock_turnover_90d', CASE WHEN avg_stock_90d > 0 THEN sales_qty_90d / NULLIF(avg_stock_90d,0) ELSE 0 END,
-    'stock_turnover_180d', CASE WHEN avg_stock_180d > 0 THEN sales_qty_180d / NULLIF(avg_stock_180d,0) ELSE 0 END,
-    'stock_turnover_365d', CASE WHEN avg_stock_365d > 0 THEN sales_qty_365d / NULLIF(avg_stock_365d,0) ELSE 0 END,
-    'stock_turnover_total', CASE WHEN avg_stock_total > 0 THEN sales_qty_total / NULLIF(avg_stock_total,0) ELSE 0 END
+    'stock_turnover_90d', stock_turnover_90d,
+    'stock_turnover_180d', stock_turnover_180d,
+    'stock_turnover_365d', stock_turnover_365d,
+    'stock_turnover_total', stock_turnover_total
   )
 ) AS row_json
 FROM (
@@ -4166,22 +4635,22 @@ FROM (
     CASE WHEN SUM(sales_qty_90d) > 0 THEN SUM(sales_usd_90d) / NULLIF(SUM(sales_qty_90d),0) ELSE 0 END AS avg_price_usd_90d,
     CASE WHEN SUM(sales_qty_180d) > 0 THEN SUM(sales_usd_180d) / NULLIF(SUM(sales_qty_180d),0) ELSE 0 END AS avg_price_usd_180d,
     CASE
-      WHEN SUM(CASE WHEN sales_qty_total > 0 THEN sales_qty_total WHEN stock_variant_rank = 1 THEN stock_qty ELSE 0 END) > 0
-      THEN SUM(CASE WHEN sales_qty_total > 0 THEN cost_price_usd * sales_qty_total WHEN stock_variant_rank = 1 THEN cost_price_usd * stock_qty ELSE 0 END)
-        / NULLIF(SUM(CASE WHEN sales_qty_total > 0 THEN sales_qty_total WHEN stock_variant_rank = 1 THEN stock_qty ELSE 0 END),0)
-      ELSE 0
+      WHEN SUM(CASE WHEN sales_qty_total > 0 THEN sales_qty_total ELSE 0 END) > 0
+      THEN SUM(CASE WHEN sales_qty_total > 0 THEN cost_price_usd * sales_qty_total ELSE 0 END)
+        / NULLIF(SUM(CASE WHEN sales_qty_total > 0 THEN sales_qty_total ELSE 0 END),0)
+      ELSE COALESCE(AVG(NULLIF(cost_price_usd,0)),0)
     END AS cost_price_usd,
     CASE
-      WHEN SUM(CASE WHEN sales_qty_total > 0 THEN sales_qty_total WHEN stock_variant_rank = 1 THEN stock_qty ELSE 0 END) > 0
-      THEN SUM(CASE WHEN sales_qty_total > 0 THEN base_price_usd * sales_qty_total WHEN stock_variant_rank = 1 THEN base_price_usd * stock_qty ELSE 0 END)
-        / NULLIF(SUM(CASE WHEN sales_qty_total > 0 THEN sales_qty_total WHEN stock_variant_rank = 1 THEN stock_qty ELSE 0 END),0)
-      ELSE 0
+      WHEN SUM(CASE WHEN sales_qty_total > 0 THEN sales_qty_total ELSE 0 END) > 0
+      THEN SUM(CASE WHEN sales_qty_total > 0 THEN base_price_usd * sales_qty_total ELSE 0 END)
+        / NULLIF(SUM(CASE WHEN sales_qty_total > 0 THEN sales_qty_total ELSE 0 END),0)
+      ELSE COALESCE(AVG(NULLIF(base_price_usd,0)),0)
     END AS base_price_usd,
     CASE
-      WHEN SUM(CASE WHEN sales_qty_total > 0 THEN sales_qty_total WHEN stock_variant_rank = 1 THEN stock_qty ELSE 0 END) > 0
-      THEN SUM(CASE WHEN sales_qty_total > 0 THEN base_price_try * sales_qty_total WHEN stock_variant_rank = 1 THEN base_price_try * stock_qty ELSE 0 END)
-        / NULLIF(SUM(CASE WHEN sales_qty_total > 0 THEN sales_qty_total WHEN stock_variant_rank = 1 THEN stock_qty ELSE 0 END),0)
-      ELSE 0
+      WHEN SUM(CASE WHEN sales_qty_total > 0 THEN sales_qty_total ELSE 0 END) > 0
+      THEN SUM(CASE WHEN sales_qty_total > 0 THEN base_price_try * sales_qty_total ELSE 0 END)
+        / NULLIF(SUM(CASE WHEN sales_qty_total > 0 THEN sales_qty_total ELSE 0 END),0)
+      ELSE COALESCE(AVG(NULLIF(base_price_try,0)),0)
     END AS base_price_try,
     COALESCE(SUM(gross_profit_usd_90d),0) AS gross_profit_usd_90d,
     COALESCE(SUM(gross_profit_usd_180d),0) AS gross_profit_usd_180d,
@@ -4191,18 +4660,49 @@ FROM (
     CASE WHEN SUM(sales_qty_180d) > 0 THEN SUM(unit_profit_cost_180d * sales_qty_180d) / NULLIF(SUM(sales_qty_180d),0) ELSE 0 END AS unit_profit_cost_180d,
     CASE WHEN SUM(sales_qty_90d) > 0 THEN SUM(unit_profit_base_90d * sales_qty_90d) / NULLIF(SUM(sales_qty_90d),0) ELSE 0 END AS unit_profit_base_90d,
     CASE WHEN SUM(sales_qty_180d) > 0 THEN SUM(unit_profit_base_180d * sales_qty_180d) / NULLIF(SUM(sales_qty_180d),0) ELSE 0 END AS unit_profit_base_180d,
-    COALESCE(SUM(market_count_90d),0)::integer AS market_count_90d,
-    COALESCE(SUM(customer_count_90d),0)::integer AS customer_count_90d,
+    COUNT(DISTINCT NULLIF(NULLIF(display_market_key,'STOK'),'')) FILTER (WHERE COALESCE(sales_usd_90d,0) > 0)::integer AS market_count_90d,
+    COUNT(DISTINCT NULLIF(NULLIF(display_market_key,'STOK'),'')) FILTER (WHERE COALESCE(sales_usd_180d,0) > 0)::integer AS market_count_180d,
+    COUNT(DISTINCT NULLIF(NULLIF(display_market_key,'STOK'),'')) FILTER (WHERE COALESCE(sales_usd_365d,0) > 0)::integer AS market_count_365d,
+    COUNT(DISTINCT NULLIF(NULLIF(display_market_key,'STOK'),'')) FILTER (WHERE COALESCE(sales_usd_total,0) > 0)::integer AS market_count_total,
+    COALESCE(SUM(CASE WHEN COALESCE(sales_usd_90d,0) > 0 THEN customer_count_90d ELSE 0 END),0)::integer AS customer_count_90d,
+    COALESCE(SUM(CASE WHEN COALESCE(sales_usd_180d,0) > 0 THEN customer_count_180d ELSE 0 END),0)::integer AS customer_count_180d,
+    COALESCE(SUM(CASE WHEN COALESCE(sales_usd_365d,0) > 0 THEN customer_count_365d ELSE 0 END),0)::integer AS customer_count_365d,
+    COALESCE(SUM(CASE WHEN COALESCE(sales_usd_total,0) > 0 THEN customer_count_total ELSE 0 END),0)::integer AS customer_count_total,
     CASE WHEN SUM(sales_qty_90d) > 0 THEN SUM(sales_index_90d * sales_qty_90d) / NULLIF(SUM(sales_qty_90d),0) ELSE 0 END AS sales_index_90d,
+    CASE WHEN SUM(sales_qty_180d) > 0 THEN SUM(sales_index_180d * sales_qty_180d) / NULLIF(SUM(sales_qty_180d),0) ELSE 0 END AS sales_index_180d,
+    CASE WHEN SUM(sales_qty_365d) > 0 THEN SUM(sales_index_365d * sales_qty_365d) / NULLIF(SUM(sales_qty_365d),0) ELSE 0 END AS sales_index_365d,
+    CASE WHEN SUM(sales_qty_total) > 0 THEN SUM(sales_index_total * sales_qty_total) / NULLIF(SUM(sales_qty_total),0) ELSE 0 END AS sales_index_total,
     CASE WHEN SUM(sales_qty_90d) > 0 THEN SUM(price_index_90d * sales_qty_90d) / NULLIF(SUM(sales_qty_90d),0) ELSE 0 END AS price_index_90d,
     CASE WHEN SUM(sales_qty_90d) > 0 THEN SUM(margin_index_90d * sales_qty_90d) / NULLIF(SUM(sales_qty_90d),0) ELSE 0 END AS margin_index_90d,
-    CASE WHEN SUM(sales_qty_90d) > 0 THEN SUM(performance_score * sales_qty_90d) / NULLIF(SUM(sales_qty_90d),0) ELSE 0 END AS performance_score,
+    CASE WHEN SUM(sales_qty_90d) > 0 THEN SUM(stock_turnover_90d * sales_qty_90d) / NULLIF(SUM(sales_qty_90d),0) ELSE 0 END AS stock_turnover_90d,
+    CASE WHEN SUM(sales_qty_180d) > 0 THEN SUM(stock_turnover_180d * sales_qty_180d) / NULLIF(SUM(sales_qty_180d),0) ELSE 0 END AS stock_turnover_180d,
+    CASE WHEN SUM(sales_qty_365d) > 0 THEN SUM(stock_turnover_365d * sales_qty_365d) / NULLIF(SUM(sales_qty_365d),0) ELSE 0 END AS stock_turnover_365d,
+    CASE WHEN SUM(sales_qty_total) > 0 THEN SUM(stock_turnover_total * sales_qty_total) / NULLIF(SUM(sales_qty_total),0) ELSE 0 END AS stock_turnover_total,
+    CASE
+      WHEN SUM(CASE
+        WHEN COALESCE(sales_qty_90d,0) > 0 THEN sales_qty_90d
+        ELSE 0
+      END) > 0
+      THEN SUM(performance_score * CASE
+        WHEN COALESCE(sales_qty_90d,0) > 0 THEN sales_qty_90d
+        ELSE 0
+      END) / NULLIF(SUM(CASE
+        WHEN COALESCE(sales_qty_90d,0) > 0 THEN sales_qty_90d
+        ELSE 0
+      END),0)
+      ELSE COALESCE(AVG(performance_score),0)
+    END AS performance_score,
     MODE() WITHIN GROUP (ORDER BY performance_bucket) AS performance_bucket,
     COALESCE(MODE() WITHIN GROUP (ORDER BY NULLIF(recommendation,'')), '') AS recommendation,
     COALESCE(SUM(CASE WHEN stock_variant_rank = 1 THEN idle_cost_usd ELSE 0 END),0) AS idle_cost_usd
   FROM (
     SELECT
       Source.*,
+      btrim(regexp_replace(COALESCE(Source.market_key,''), '^.*[|]', '')) AS display_market_key,
+      CASE WHEN avg_stock_90d > 0 THEN sales_qty_90d / NULLIF(avg_stock_90d,0) * 4.0 ELSE 0 END AS stock_turnover_90d,
+      CASE WHEN avg_stock_180d > 0 THEN sales_qty_180d / NULLIF(avg_stock_180d,0) * 2.0 ELSE 0 END AS stock_turnover_180d,
+      CASE WHEN avg_stock_365d > 0 THEN sales_qty_365d / NULLIF(avg_stock_365d,0) ELSE 0 END AS stock_turnover_365d,
+      CASE WHEN avg_stock_total > 0 THEN sales_qty_total / NULLIF(avg_stock_total,0) * 360.0 / GREATEST(1, ((SELECT kpi_date FROM LatestKPIDate) - DATE '2022-01-01') + 1) ELSE 0 END AS stock_turnover_total,
       ROW_NUMBER() OVER (
         PARTITION BY COALESCE(%s, ''), product_code, color_code, yaka_kodu
         ORDER BY performance_score DESC NULLS LAST
@@ -4227,10 +4727,10 @@ func queryProductPerformanceSQLLeafRows(ctx context.Context, pg *sql.DB, mode st
 	query := productPerformanceSQLSourceCTE(mode) + fmt.Sprintf(`
 SELECT to_jsonb(t) || jsonb_build_object(
   'row_key', 'leaf|' || product_code || '|' || color_code || '|' || yaka_kodu || '|' || market_key,
-  'stock_turnover_90d', CASE WHEN avg_stock_90d > 0 THEN sales_qty_90d / NULLIF(avg_stock_90d,0) ELSE 0 END,
-  'stock_turnover_180d', CASE WHEN avg_stock_180d > 0 THEN sales_qty_180d / NULLIF(avg_stock_180d,0) ELSE 0 END,
+  'stock_turnover_90d', CASE WHEN avg_stock_90d > 0 THEN sales_qty_90d / NULLIF(avg_stock_90d,0) * 4.0 ELSE 0 END,
+  'stock_turnover_180d', CASE WHEN avg_stock_180d > 0 THEN sales_qty_180d / NULLIF(avg_stock_180d,0) * 2.0 ELSE 0 END,
   'stock_turnover_365d', CASE WHEN avg_stock_365d > 0 THEN sales_qty_365d / NULLIF(avg_stock_365d,0) ELSE 0 END,
-  'stock_turnover_total', CASE WHEN avg_stock_total > 0 THEN sales_qty_total / NULLIF(avg_stock_total,0) ELSE 0 END
+  'stock_turnover_total', CASE WHEN avg_stock_total > 0 THEN sales_qty_total / NULLIF(avg_stock_total,0) * 360.0 / GREATEST(1, ((SELECT kpi_date FROM LatestKPIDate) - DATE '2022-01-01') + 1) ELSE 0 END
 ) AS row_json
 FROM Source t
 %s
@@ -4322,17 +4822,17 @@ Source AS (
     CASE WHEN btrim(COALESCE(askili_yan,'')) = '-' THEN '' ELSE COALESCE(askili_yan,'') END AS askili_yan,
     CASE
       WHEN btrim(COALESCE(urun_ilk_grubu,'')) = '-' THEN ''
-      WHEN upper(translate(btrim(COALESCE(urun_ilk_grubu,'')), 'İŞĞÜÖÇ', 'ISGUOC')) IN ('YETISKIN', 'YETISKIN/GARSON', 'GARSON') THEN ''
+      WHEN upper(translate(btrim(COALESCE(urun_ilk_grubu,'')), U&'\0130\015E\011E\00DC\00D6\00C7\0131\015F\011F\00FC\00F6\00E7', 'ISGUOCisguoc')) IN ('YETISKIN', 'YETISKIN/GARSON', 'GARSON') THEN ''
       ELSE COALESCE(urun_ilk_grubu,'')
     END AS urun_ilk_grubu,
     COALESCE(urun_ana_grubu,'') AS urun_ana_grubu,
     urun_alt_grubu,
     market_key,
     COALESCE(stock_qty,0) AS stock_qty,
-    (COALESCE((SELECT s.stock_qty FROM Stock90Start s WHERE s.product_code = mk_product_performance_kpi_daily.product_code AND s.color_code = mk_product_performance_kpi_daily.color_code AND s.yaka_kodu = mk_product_performance_kpi_daily.yaka_kodu),0) + COALESCE(stock_qty,0)) / 2.0 AS avg_stock_90d,
-    (COALESCE((SELECT s.stock_qty FROM Stock180Start s WHERE s.product_code = mk_product_performance_kpi_daily.product_code AND s.color_code = mk_product_performance_kpi_daily.color_code AND s.yaka_kodu = mk_product_performance_kpi_daily.yaka_kodu),0) + COALESCE(stock_qty,0)) / 2.0 AS avg_stock_180d,
-    (COALESCE((SELECT s.stock_qty FROM Stock365Start s WHERE s.product_code = mk_product_performance_kpi_daily.product_code AND s.color_code = mk_product_performance_kpi_daily.color_code AND s.yaka_kodu = mk_product_performance_kpi_daily.yaka_kodu),0) + COALESCE(stock_qty,0)) / 2.0 AS avg_stock_365d,
-    (COALESCE((SELECT s.stock_qty FROM StockTotalStart s WHERE s.product_code = mk_product_performance_kpi_daily.product_code AND s.color_code = mk_product_performance_kpi_daily.color_code AND s.yaka_kodu = mk_product_performance_kpi_daily.yaka_kodu),0) + COALESCE(stock_qty,0)) / 2.0 AS avg_stock_total,
+    COALESCE(NULLIF(avg_stock_90d,0), (COALESCE((SELECT s.stock_qty FROM Stock90Start s WHERE s.product_code = mk_product_performance_kpi_daily.product_code AND s.color_code = mk_product_performance_kpi_daily.color_code AND s.yaka_kodu = mk_product_performance_kpi_daily.yaka_kodu),0) + COALESCE(stock_qty,0)) / 2.0) AS avg_stock_90d,
+    COALESCE(NULLIF(avg_stock_180d,0), (COALESCE((SELECT s.stock_qty FROM Stock180Start s WHERE s.product_code = mk_product_performance_kpi_daily.product_code AND s.color_code = mk_product_performance_kpi_daily.color_code AND s.yaka_kodu = mk_product_performance_kpi_daily.yaka_kodu),0) + COALESCE(stock_qty,0)) / 2.0) AS avg_stock_180d,
+    COALESCE(NULLIF(avg_stock_365d,0), (COALESCE((SELECT s.stock_qty FROM Stock365Start s WHERE s.product_code = mk_product_performance_kpi_daily.product_code AND s.color_code = mk_product_performance_kpi_daily.color_code AND s.yaka_kodu = mk_product_performance_kpi_daily.yaka_kodu),0) + COALESCE(stock_qty,0)) / 2.0) AS avg_stock_365d,
+    COALESCE(NULLIF(avg_stock_total,0), (COALESCE((SELECT s.stock_qty FROM StockTotalStart s WHERE s.product_code = mk_product_performance_kpi_daily.product_code AND s.color_code = mk_product_performance_kpi_daily.color_code AND s.yaka_kodu = mk_product_performance_kpi_daily.yaka_kodu),0) + COALESCE(stock_qty,0)) / 2.0) AS avg_stock_total,
     COALESCE(sales_qty_90d,0) AS sales_qty_90d,
     COALESCE(sales_qty_180d,0) AS sales_qty_180d,
     COALESCE(sales_qty_365d,0) AS sales_qty_365d,
@@ -4359,8 +4859,17 @@ Source AS (
     COALESCE(unit_profit_base_90d,0) AS unit_profit_base_90d,
     COALESCE(unit_profit_base_180d,0) AS unit_profit_base_180d,
     COALESCE(market_count_90d,0) AS market_count_90d,
+    COALESCE(market_count_180d,0) AS market_count_180d,
+    COALESCE(market_count_365d,0) AS market_count_365d,
+    COALESCE(market_count_total,0) AS market_count_total,
     COALESCE(customer_count_90d,0) AS customer_count_90d,
+    COALESCE(customer_count_180d,0) AS customer_count_180d,
+    COALESCE(customer_count_365d,0) AS customer_count_365d,
+    COALESCE(customer_count_total,0) AS customer_count_total,
     COALESCE(sales_index_90d,0) AS sales_index_90d,
+    COALESCE(sales_index_180d,0) AS sales_index_180d,
+    COALESCE(sales_index_365d,0) AS sales_index_365d,
+    COALESCE(sales_index_total,0) AS sales_index_total,
     COALESCE(price_index_90d,0) AS price_index_90d,
     COALESCE(margin_index_90d,0) AS margin_index_90d,
     COALESCE(performance_score,0) AS performance_score,
@@ -4369,14 +4878,14 @@ Source AS (
     COALESCE(stock_qty,0) * COALESCE(cost_price_usd,0) AS idle_cost_usd
   FROM mk_product_performance_kpi_daily
   WHERE kpi_date = (SELECT MAX(kpi_date) FROM mk_product_performance_kpi_daily)
-    AND upper(btrim(COALESCE(urun_ilk_grubu,''))) NOT IN ('MALZEMELI FASON', 'MALZEMESIZ FASON', 'DIGER')` + idleWhere + `
+    AND upper(translate(btrim(COALESCE(urun_ilk_grubu,'')), U&'\0130\015E\011E\00DC\00D6\00C7\0131\015F\011F\00FC\00F6\00E7', 'ISGUOCisguoc')) NOT IN ('MALZEMELI FASON', 'MALZEMESIZ FASON', 'MAZLEMELI FASON', 'MAZEMESIZ FASON', 'DIGER')` + idleWhere + `
 )`
 }
 
 func productPerformanceSQLGroupExpr(field string) (string, bool) {
 	switch field {
 	case "urun_ilk_grubu":
-		return "CASE WHEN btrim(COALESCE(urun_ilk_grubu,'')) = '-' THEN '' WHEN upper(translate(btrim(COALESCE(urun_ilk_grubu,'')), 'İŞĞÜÖÇ', 'ISGUOC')) IN ('YETISKIN', 'YETISKIN/GARSON', 'GARSON') THEN '' ELSE COALESCE(urun_ilk_grubu,'') END", true
+		return productPerformanceCleanFirstGroupSQL("urun_ilk_grubu"), true
 	case "askili_yan":
 		return "CASE WHEN btrim(COALESCE(askili_yan,'')) = '-' THEN '' ELSE COALESCE(askili_yan,'') END", true
 	case "urun_ana_grubu":
@@ -4386,7 +4895,7 @@ func productPerformanceSQLGroupExpr(field string) (string, bool) {
 	case "color_yaka":
 		return "concat_ws('/', NULLIF(btrim(COALESCE(color_code,'')), ''), NULLIF(btrim(COALESCE(yaka_kodu,'')), ''))", true
 	case "market_key":
-		return "btrim(regexp_replace(COALESCE(market_key,''), '^.*\\|', ''))", true
+		return "btrim(regexp_replace(COALESCE(market_key,''), '^.*[|]', ''))", true
 	default:
 		return "", false
 	}
@@ -4501,23 +5010,23 @@ func filterProductPerformancePreparedGroupedRows(rows []map[string]any, filters
 		return rows
 	}
 
+	rowByKey := make(map[string]map[string]any, len(rows))
+	for _, row := range rows {
+		if key := stringFromMap(row, "key"); key != "" {
+			rowByKey[key] = row
+		}
+	}
+
 	matchedKeys := map[string]bool{}
 	allowedKeys := map[string]bool{}
 	for _, row := range rows {
-		matches := true
-		for field, allowed := range cleanFilters {
-			if !allowed[productPerformanceGroupedFilterValue(row, field)] {
-				matches = false
-				break
-			}
-		}
-		if !matches {
-			continue
-		}
 		key := stringFromMap(row, "key")
 		if key == "" {
 			continue
 		}
+		if !productPerformancePreparedGroupedPathMatches(key, rowByKey, cleanFilters) {
+			continue
+		}
 		matchedKeys[key] = true
 		for _, ancestor := range productPerformanceGroupKeyAncestors(key, true) {
 			allowedKeys[ancestor] = true
@@ -4536,6 +5045,49 @@ func filterProductPerformancePreparedGroupedRows(rows []map[string]any, filters
 	return out
 }
 
+func productPerformancePreparedGroupedPathMatches(key string, rowByKey map[string]map[string]any, filters map[string]map[string]bool) bool {
+	pathKeys := productPerformanceGroupKeyAncestors(key, true)
+	if len(pathKeys) == 0 {
+		pathKeys = []string{key}
+	}
+	for field, allowed := range filters {
+		matched := false
+		for _, pathKey := range pathKeys {
+			row := rowByKey[pathKey]
+			if row == nil {
+				continue
+			}
+			if allowed[productPerformancePreparedGroupedFilterValue(row, field)] {
+				matched = true
+				break
+			}
+		}
+		if !matched {
+			return false
+		}
+	}
+	return true
+}
+
+func productPerformancePreparedGroupedFilterValue(row map[string]any, field string) string {
+	field = strings.TrimSpace(field)
+	groupField := strings.TrimSpace(stringFromMap(row, "group_field"))
+	if groupField == field {
+		return normalizeProductPerformanceGroupValue(stringFromMap(row, "group_value"))
+	}
+	switch field {
+	case "market_key", "color_yaka", "urun_ilk_grubu", "askili_yan":
+		value := normalizeProductPerformanceGroupValue(mapGroupValue(row, field))
+		if value != "" {
+			return value
+		}
+	}
+	if value := normalizeProductPerformanceGroupValue(stringFromMap(row, field)); value != "" {
+		return value
+	}
+	return ""
+}
+
 func productPerformanceGroupRowHasMatchedAncestor(key string, matchedKeys map[string]bool) bool {
 	for _, ancestor := range productPerformanceGroupKeyAncestors(key, true) {
 		if matchedKeys[ancestor] {
@@ -4633,9 +5185,9 @@ func productPerformanceGroupedFilterValue(row map[string]any, field string) stri
 }
 
 func productPerformanceGroupedSourceRows(ctx context.Context, pg *sql.DB, mode string, limit int) ([]map[string]any, error) {
-	if rows, ok, err := productPerformanceGroupedSnapshotRows(ctx, pg, mode, limit); err != nil {
+	if rows, err := productPerformanceGroupedRawSnapshotSourceRows(ctx, pg, mode, limit); err != nil {
 		return nil, err
-	} else if ok {
+	} else if rows != nil {
 		return rows, nil
 	}
 
@@ -4677,11 +5229,194 @@ func productPerformanceGroupedRawSnapshotSourceRows(ctx context.Context, pg *sql
 		return nil, nil
 	}
 	if strings.TrimSpace(mode) == "idle" {
+		normalizeProductPerformanceGroupedSourceScores(rows, mode)
 		return productPerformanceIdleSourceRows(rows), nil
 	}
+	if mode == "products" || mode == "product_detail" {
+		rows = mergeProductPerformanceGeneralSnapshotMetrics(ctx, pg, rows)
+		rows = mergeProductPerformanceSalesSpreadKeys(ctx, pg, rows)
+	}
+	normalizeProductPerformanceGroupedSourceScores(rows, mode)
 	return rows, nil
 }
 
+func normalizeProductPerformanceGroupedSourceScores(rows []map[string]any, mode string) {
+	if !shouldCascadeProductPerformanceGroupedScores(mode) {
+		return
+	}
+	for _, row := range rows {
+		deriveProductPerformanceGroupMetrics(row, "")
+		for _, suffix := range productPerformancePeriodSuffixes() {
+			row["performance_score_"+suffix] = productPerformanceSalesPeriodScore(row, suffix)
+		}
+		row["performance_score"] = row["performance_score_90d"]
+	}
+}
+
+func mergeProductPerformanceGeneralSnapshotMetrics(ctx context.Context, pg *sql.DB, rows []map[string]any) []map[string]any {
+	if len(rows) == 0 {
+		return rows
+	}
+	generalRows, ok, err := loadProductPerformanceSnapshotMapRows(ctx, pg, productPerformanceSnapshotKey("general"), 50000)
+	if err != nil || !ok || len(generalRows) == 0 {
+		return rows
+	}
+	byKey := make(map[string]map[string]any, len(generalRows))
+	for _, row := range generalRows {
+		key := productPerformanceMapMarketVariantKey(row)
+		if key != "" {
+			byKey[key] = row
+		}
+	}
+	for _, row := range rows {
+		general := byKey[productPerformanceMapMarketVariantKey(row)]
+		if general == nil {
+			continue
+		}
+		for _, field := range []string{
+			"market_count_total", "customer_count_total", "invoice_count_total", "sales_index_total",
+			"avg_price_usd_total", "gross_profit_usd_total", "gross_margin_total",
+			"unit_profit_cost_total", "unit_profit_base_total", "first_sale_date",
+		} {
+			if value, ok := general[field]; ok {
+				row[field] = value
+			}
+		}
+		if value, ok := general["performance_score"]; ok {
+			if _, exists := row["performance_score_total"]; !exists {
+				row["performance_score_total"] = value
+			}
+		}
+	}
+	return rows
+}
+
+func mergeProductPerformanceSalesSpreadKeys(ctx context.Context, pg *sql.DB, rows []map[string]any) []map[string]any {
+	if len(rows) == 0 {
+		return rows
+	}
+	const query = `
+WITH Latest AS (
+  SELECT COALESCE(
+    (SELECT MAX(kpi_date) FROM mk_product_performance_kpi_daily),
+    (SELECT MAX(sales_date) FROM mk_product_performance_sales_daily),
+    current_date
+  )::date AS kpi_date
+),
+Spread AS (
+  SELECT
+    s.product_code,
+    s.color_code,
+    s.yaka_kodu,
+    s.market_key,
+    COALESCE(jsonb_agg(DISTINCT display_market_key) FILTER (
+      WHERE s.sales_date BETWEEN Latest.kpi_date - INTERVAL '89 days' AND Latest.kpi_date
+        AND COALESCE(s.sales_usd,0) > 0
+        AND display_market_key NOT IN ('', 'STOK', '-')
+    ), '[]'::jsonb) AS market_keys_90d,
+    COALESCE(jsonb_agg(DISTINCT display_market_key) FILTER (
+      WHERE s.sales_date BETWEEN Latest.kpi_date - INTERVAL '179 days' AND Latest.kpi_date
+        AND COALESCE(s.sales_usd,0) > 0
+        AND display_market_key NOT IN ('', 'STOK', '-')
+    ), '[]'::jsonb) AS market_keys_180d,
+    COALESCE(jsonb_agg(DISTINCT display_market_key) FILTER (
+      WHERE s.sales_date BETWEEN Latest.kpi_date - INTERVAL '359 days' AND Latest.kpi_date
+        AND COALESCE(s.sales_usd,0) > 0
+        AND display_market_key NOT IN ('', 'STOK', '-')
+    ), '[]'::jsonb) AS market_keys_365d,
+    COALESCE(jsonb_agg(DISTINCT display_market_key) FILTER (
+      WHERE s.sales_date BETWEEN DATE '2022-01-01' AND Latest.kpi_date
+        AND COALESCE(s.sales_usd,0) > 0
+        AND display_market_key NOT IN ('', 'STOK', '-')
+    ), '[]'::jsonb) AS market_keys_total,
+    COALESCE(jsonb_agg(DISTINCT btrim(s.customer_code)) FILTER (
+      WHERE s.sales_date BETWEEN Latest.kpi_date - INTERVAL '89 days' AND Latest.kpi_date
+        AND COALESCE(s.sales_usd,0) > 0
+        AND btrim(COALESCE(s.customer_code,'')) NOT IN ('', '-')
+    ), '[]'::jsonb) AS customer_keys_90d,
+    COALESCE(jsonb_agg(DISTINCT btrim(s.customer_code)) FILTER (
+      WHERE s.sales_date BETWEEN Latest.kpi_date - INTERVAL '179 days' AND Latest.kpi_date
+        AND COALESCE(s.sales_usd,0) > 0
+        AND btrim(COALESCE(s.customer_code,'')) NOT IN ('', '-')
+    ), '[]'::jsonb) AS customer_keys_180d,
+    COALESCE(jsonb_agg(DISTINCT btrim(s.customer_code)) FILTER (
+      WHERE s.sales_date BETWEEN Latest.kpi_date - INTERVAL '359 days' AND Latest.kpi_date
+        AND COALESCE(s.sales_usd,0) > 0
+        AND btrim(COALESCE(s.customer_code,'')) NOT IN ('', '-')
+    ), '[]'::jsonb) AS customer_keys_365d,
+    COALESCE(jsonb_agg(DISTINCT btrim(s.customer_code)) FILTER (
+      WHERE s.sales_date BETWEEN DATE '2022-01-01' AND Latest.kpi_date
+        AND COALESCE(s.sales_usd,0) > 0
+        AND btrim(COALESCE(s.customer_code,'')) NOT IN ('', '-')
+    ), '[]'::jsonb) AS customer_keys_total
+  FROM (
+    SELECT
+      s.*,
+      btrim(regexp_replace(COALESCE(s.market_key,''), '^.*[|]', '')) AS display_market_key
+    FROM mk_product_performance_sales_daily s
+  ) s
+  CROSS JOIN Latest
+  WHERE s.sales_date BETWEEN DATE '2022-01-01' AND Latest.kpi_date
+    AND upper(translate(btrim(COALESCE(s.urun_ilk_grubu,'')), U&'\0130\015E\011E\00DC\00D6\00C7\0131\015F\011F\00FC\00F6\00E7', 'ISGUOCisguoc')) NOT IN ('MALZEMELI FASON', 'MALZEMESIZ FASON', 'MAZLEMELI FASON', 'MAZEMESIZ FASON', 'DIGER')
+  GROUP BY s.product_code, s.color_code, s.yaka_kodu, s.market_key
+)
+SELECT jsonb_build_object(
+  'product_code', product_code,
+  'color_code', color_code,
+  'yaka_kodu', yaka_kodu,
+  'market_key', market_key,
+  '__market_keys_90d', market_keys_90d,
+  '__market_keys_180d', market_keys_180d,
+  '__market_keys_365d', market_keys_365d,
+  '__market_keys_total', market_keys_total,
+  '__customer_keys_90d', customer_keys_90d,
+  '__customer_keys_180d', customer_keys_180d,
+  '__customer_keys_365d', customer_keys_365d,
+  '__customer_keys_total', customer_keys_total
+)
+FROM Spread`
+	spreadRows, err := queryProductPerformanceJSONRows(ctx, pg, query)
+	if err != nil {
+		log.Printf("[ProductPerformanceRefresh] product sales spread keys skipped err=%v", err)
+		return rows
+	}
+	byKey := make(map[string]map[string]any, len(spreadRows))
+	for _, row := range spreadRows {
+		key := productPerformanceMapMarketVariantKey(row)
+		if key != "" {
+			byKey[key] = row
+		}
+	}
+	for _, row := range rows {
+		spread := byKey[productPerformanceMapMarketVariantKey(row)]
+		if spread == nil {
+			continue
+		}
+		for _, suffix := range productPerformancePeriodSuffixes() {
+			for _, prefix := range []string{"__market_keys_", "__customer_keys_"} {
+				field := prefix + suffix
+				if value, ok := spread[field]; ok {
+					row[field] = value
+				}
+			}
+		}
+	}
+	return rows
+}
+
+func productPerformanceMapMarketVariantKey(row map[string]any) string {
+	productCode := normalizeProductPerformanceProductCode(stringFromMap(row, "product_code"))
+	if productCode == "" {
+		return ""
+	}
+	return strings.Join([]string{
+		productCode,
+		strings.TrimSpace(stringFromMap(row, "color_code")),
+		strings.TrimSpace(stringFromMap(row, "yaka_kodu")),
+		displayProductPerformanceMarketName(stringFromMap(row, "market_key")),
+	}, "|")
+}
+
 func productPerformanceGroupedSnapshotRows(ctx context.Context, pg *sql.DB, mode string, limit int) ([]map[string]any, bool, error) {
 	reportKey, ok := productPerformanceGroupedSnapshotKey(mode)
 	if !ok {
@@ -4766,6 +5501,337 @@ func productPerformanceIdleSourceRows(rows []map[string]any) []map[string]any {
 	return out
 }
 
+type productPerformanceGroupedSnapshotAvgState struct {
+	Weighted float64
+	Weight   float64
+	Sum      float64
+	Count    float64
+}
+
+type productPerformanceGroupedSnapshotNode struct {
+	Key             string
+	Level           int
+	Field           string
+	Value           string
+	Row             map[string]any
+	Count           int
+	Children        map[string]*productPerformanceGroupedSnapshotNode
+	ChildOrder      []string
+	StockMetricSeen map[string]map[string]bool
+	IdleSeen        map[string]bool
+	Avg             map[string]*productPerformanceGroupedSnapshotAvgState
+	BucketCounts    map[string]int
+	Image           map[string]any
+	MarketSeen      map[string]map[string]bool
+	CustomerSeen    map[string]map[string]bool
+}
+
+func buildProductPerformanceGroupedSnapshotRows(sourceRows []map[string]any, levels []string, mode string) []map[string]any {
+	roots := map[string]*productPerformanceGroupedSnapshotNode{}
+	rootOrder := make([]string, 0)
+	for _, row := range sourceRows {
+		parentKeys := []string{"tab:" + mode}
+		parentChildren := roots
+		parentOrder := &rootOrder
+		visualLevel := 0
+		for _, field := range levels {
+			value := normalizeProductPerformanceGroupValue(mapGroupValue(row, field))
+			if shouldSkipProductPerformanceGroupValue(field, value) {
+				continue
+			}
+			keyPart := field + ":" + value
+			key := strings.Join(append(parentKeys, keyPart), "|")
+			node := parentChildren[key]
+			if node == nil {
+				node = &productPerformanceGroupedSnapshotNode{
+					Key:      key,
+					Level:    visualLevel,
+					Field:    field,
+					Value:    value,
+					Row:      map[string]any{},
+					Children: map[string]*productPerformanceGroupedSnapshotNode{},
+				}
+				parentChildren[key] = node
+				*parentOrder = append(*parentOrder, key)
+			}
+			node.add(row)
+			parentKeys = append(parentKeys, keyPart)
+			parentChildren = node.Children
+			parentOrder = &node.ChildOrder
+			visualLevel++
+		}
+	}
+
+	out := make([]map[string]any, 0, len(sourceRows))
+	appendProductPerformanceGroupedSnapshotNodes(&out, roots, rootOrder)
+	applyProductPerformanceGroupedChildScoreAverages(out, mode)
+	return out
+}
+
+func applyProductPerformanceGroupedChildScoreAverages(rows []map[string]any, mode string) {
+	if !shouldCascadeProductPerformanceGroupedScores(mode) || len(rows) == 0 {
+		return
+	}
+	byKey := make(map[string]map[string]any, len(rows))
+	children := map[string][]map[string]any{}
+	maxLevel := -1
+	for _, row := range rows {
+		key := stringFromMap(row, "key")
+		if key == "" {
+			continue
+		}
+		byKey[key] = row
+		if level := intFromMap(row, "level"); level > maxLevel {
+			maxLevel = level
+		}
+	}
+	for _, row := range rows {
+		key := stringFromMap(row, "key")
+		parentKey := productPerformanceParentGroupKey(key)
+		if parentKey == "" || byKey[parentKey] == nil {
+			continue
+		}
+		children[parentKey] = append(children[parentKey], row)
+	}
+	for level := maxLevel - 1; level >= 0; level-- {
+		for _, row := range rows {
+			if intFromMap(row, "level") != level {
+				continue
+			}
+			childRows := children[stringFromMap(row, "key")]
+			if len(childRows) == 0 {
+				continue
+			}
+			for _, suffix := range productPerformancePeriodSuffixes() {
+				field := "performance_score_" + suffix
+				if !productPerformanceRowsHaveField(childRows, field) {
+					continue
+				}
+				row[field] = weightedAverageProductPerformanceScoreRows(childRows, field, suffix)
+			}
+			for _, suffix := range productPerformancePeriodSuffixes() {
+				field := "stock_turnover_" + suffix
+				if !productPerformanceRowsHaveField(childRows, field) {
+					continue
+				}
+				row[field] = weightedAverageProductPerformanceRows(childRows, field, "sales_qty_"+suffix)
+			}
+			if score, ok := productPerformanceOptionalFloat(row, "performance_score_90d"); ok {
+				row["performance_score"] = score
+			}
+		}
+	}
+}
+
+func shouldCascadeProductPerformanceGroupedScores(mode string) bool {
+	switch strings.TrimSpace(mode) {
+	case "products",
+		"product_detail",
+		"idle",
+		"sales_color_yaka_market_customer",
+		"sales_product_country_segment_market_customer",
+		"sales_market_customer_product",
+		"sales_country_segment_market_customer_product":
+		return true
+	default:
+		return false
+	}
+}
+
+func productPerformanceRowsHaveField(rows []map[string]any, field string) bool {
+	for _, row := range rows {
+		if _, ok := productPerformanceOptionalFloat(row, field); ok {
+			return true
+		}
+	}
+	return false
+}
+
+func (n *productPerformanceGroupedSnapshotNode) add(row map[string]any) {
+	n.Count++
+	if n.Image == nil && stringFromMap(row, "product_code") != "" {
+		n.Image = row
+	}
+	if bucket := stringFromMap(row, "performance_bucket"); bucket != "" {
+		if n.BucketCounts == nil {
+			n.BucketCounts = map[string]int{}
+		}
+		n.BucketCounts[bucket]++
+	}
+	for key, value := range row {
+		if key == "row_key" || key == "key" || isProductPerformanceInternalGroupField(key) || isProductPerformanceMarginField(key) {
+			continue
+		}
+		switch {
+		case isProductPerformanceDistinctVariantStockMetric(key):
+			n.addDistinctVariantMetric(row, key, value)
+		case key == "idle_cost_usd":
+			variantKey := productPerformanceMapVariantKey(row)
+			if variantKey == "" {
+				n.Row[key] = floatFromAny(n.Row[key]) + floatFromAny(value)
+				continue
+			}
+			if n.IdleSeen == nil {
+				n.IdleSeen = map[string]bool{}
+			}
+			if !n.IdleSeen[variantKey] {
+				n.IdleSeen[variantKey] = true
+				n.Row[key] = floatFromAny(n.Row[key]) + floatFromAny(value)
+			}
+		case shouldAverageProductPerformanceField(key):
+			if n.Avg == nil {
+				n.Avg = map[string]*productPerformanceGroupedSnapshotAvgState{}
+			}
+			state := n.Avg[key]
+			if state == nil {
+				state = &productPerformanceGroupedSnapshotAvgState{}
+				n.Avg[key] = state
+			}
+			number := floatFromAny(value)
+			weight := productPerformanceMetricWeight(row, key)
+			if weight > 0 {
+				state.Weighted += number * weight
+				state.Weight += weight
+			}
+			state.Sum += number
+			state.Count++
+		case shouldSumProductPerformanceField(key):
+			n.Row[key] = floatFromAny(n.Row[key]) + floatFromAny(value)
+		default:
+			if _, ok := n.Row[key]; !ok {
+				n.Row[key] = value
+			}
+		}
+	}
+	n.addDistinctSpread(row)
+}
+
+func (n *productPerformanceGroupedSnapshotNode) addDistinctVariantMetric(row map[string]any, key string, value any) {
+	variantKey := productPerformanceMapVariantKey(row)
+	if variantKey == "" {
+		n.Row[key] = floatFromAny(n.Row[key]) + floatFromAny(value)
+		return
+	}
+	if n.StockMetricSeen == nil {
+		n.StockMetricSeen = map[string]map[string]bool{}
+	}
+	seen := n.StockMetricSeen[key]
+	if seen == nil {
+		seen = map[string]bool{}
+		n.StockMetricSeen[key] = seen
+	}
+	if seen[variantKey] {
+		return
+	}
+	seen[variantKey] = true
+	n.Row[key] = floatFromAny(n.Row[key]) + floatFromAny(value)
+}
+
+func (n *productPerformanceGroupedSnapshotNode) addDistinctSpread(row map[string]any) {
+	market := displayProductPerformanceMarketName(stringFromMap(row, "market_key"))
+	if market != "" && market != "STOK" {
+		for _, suffix := range productPerformancePeriodSuffixes() {
+			if floatFromMap(row, "sales_usd_"+suffix) > 0 {
+				if n.MarketSeen == nil {
+					n.MarketSeen = map[string]map[string]bool{}
+				}
+				if n.MarketSeen[suffix] == nil {
+					n.MarketSeen[suffix] = map[string]bool{}
+				}
+				n.MarketSeen[suffix][market] = true
+			}
+		}
+	}
+	customer := strings.TrimSpace(stringFromMap(row, "customer_code"))
+	if customer != "" && customer != "-" {
+		for _, suffix := range productPerformancePeriodSuffixes() {
+			if floatFromMap(row, "sales_usd_"+suffix) > 0 {
+				if n.CustomerSeen == nil {
+					n.CustomerSeen = map[string]map[string]bool{}
+				}
+				if n.CustomerSeen[suffix] == nil {
+					n.CustomerSeen[suffix] = map[string]bool{}
+				}
+				n.CustomerSeen[suffix][customer] = true
+			}
+		}
+	}
+	for _, suffix := range productPerformancePeriodSuffixes() {
+		n.MarketSeen = productPerformanceAddSeenStrings(n.MarketSeen, suffix, productPerformanceStringSliceFromMap(row, "__market_keys_"+suffix))
+		n.CustomerSeen = productPerformanceAddSeenStrings(n.CustomerSeen, suffix, productPerformanceStringSliceFromMap(row, "__customer_keys_"+suffix))
+	}
+}
+
+func appendProductPerformanceGroupedSnapshotNodes(out *[]map[string]any, nodes map[string]*productPerformanceGroupedSnapshotNode, order []string) {
+	sort.SliceStable(order, func(i, j int) bool {
+		left := nodes[order[i]]
+		right := nodes[order[j]]
+		if left == nil || right == nil {
+			return order[i] < order[j]
+		}
+		return strings.Compare(left.Value, right.Value) < 0
+	})
+	for _, key := range order {
+		node := nodes[key]
+		if node == nil {
+			continue
+		}
+		*out = append(*out, node.snapshotRow())
+		if len(node.Children) > 0 {
+			appendProductPerformanceGroupedSnapshotNodes(out, node.Children, node.ChildOrder)
+		}
+	}
+}
+
+func (n *productPerformanceGroupedSnapshotNode) snapshotRow() map[string]any {
+	row := cloneMap(n.Row)
+	for key, state := range n.Avg {
+		if state == nil {
+			continue
+		}
+		if state.Weight > 0 {
+			row[key] = state.Weighted / state.Weight
+		} else if state.Count > 0 {
+			row[key] = state.Sum / state.Count
+		}
+	}
+	applyProductPerformanceDistinctSpread(row, n.MarketSeen, n.CustomerSeen)
+	deriveProductPerformanceGroupMetrics(row, n.Field)
+	if bucket := n.dominantBucket(); bucket != "" {
+		row["performance_bucket"] = bucket
+	}
+	clearProductPerformanceGroupDimensions(row, n.Field, n.Value)
+	row["__group"] = true
+	row["row_key"] = "group|" + n.Key
+	row["key"] = n.Key
+	row["level"] = n.Level
+	row["group_field"] = n.Field
+	row["group_value"] = n.Value
+	row["label"] = n.Value
+	row["count"] = n.Count
+	row["recommendation"] = productPerformanceGroupRecommendation(row, n.Field, n.Count)
+	image := n.Image
+	if image == nil {
+		image = row
+	}
+	row["image_product_code"] = stringFromMap(image, "product_code")
+	row["image_color_code"] = stringFromMap(image, "color_code")
+	row["image_yaka_kodu"] = stringFromMap(image, "yaka_kodu")
+	return row
+}
+
+func (n *productPerformanceGroupedSnapshotNode) dominantBucket() string {
+	best := ""
+	bestCount := 0
+	for bucket, count := range n.BucketCounts {
+		if count > bestCount || (count == bestCount && bucket < best) {
+			best = bucket
+			bestCount = count
+		}
+	}
+	return best
+}
+
 func appendProductPerformanceGroupedRows(out *[]map[string]any, sourceRows []map[string]any, levels []string, level int, visualLevel int, parentKeys []string, expandedKeys map[string]bool, expandThroughLevel int) {
 	if level >= len(levels) {
 		return
@@ -4812,7 +5878,7 @@ func makeProductPerformanceGroupedRow(key string, level int, field, value string
 	row["group_value"] = value
 	row["label"] = value
 	row["count"] = len(rows)
-	row["recommendation"] = fmt.Sprintf("%d satır", len(rows))
+	row["recommendation"] = productPerformanceGroupRecommendation(row, field, len(rows))
 
 	image := firstProductPerformanceImageSource(rows)
 	row["image_product_code"] = stringFromMap(image, "product_code")
@@ -4850,31 +5916,40 @@ func clearProductPerformanceGroupDimensions(row map[string]any, groupField, grou
 
 func aggregateProductPerformanceRows(rows []map[string]any, groupField string) map[string]any {
 	out := map[string]any{}
+	marketSeen := map[string]map[string]bool{}
+	customerSeen := map[string]map[string]bool{}
 	for _, row := range rows {
+		addProductPerformanceDistinctSpread(row, marketSeen, customerSeen)
 		for key, value := range row {
-			if key == "row_key" || key == "key" {
+			if key == "row_key" || key == "key" || isProductPerformanceInternalGroupField(key) {
 				continue
 			}
 			if isProductPerformanceMarginField(key) {
 				continue
 			}
-			if key == "stock_qty" {
-				out[key] = distinctProductPerformanceVariantStockQty(rows)
+			if isProductPerformanceDistinctVariantStockMetric(key) {
+				out[key] = distinctProductPerformanceVariantNumber(rows, key)
 				continue
 			}
 			if key == "idle_cost_usd" {
 				out[key] = distinctProductPerformanceVariantStockCost(rows)
 				continue
 			}
+			if shouldAverageProductPerformanceField(key) {
+				continue
+			}
 			if shouldSumProductPerformanceField(key) {
 				out[key] = floatFromAny(out[key]) + floatFromAny(value)
-			} else if _, ok := out[key]; !ok && !shouldAverageProductPerformanceField(key) {
+			} else if _, ok := out[key]; !ok {
 				out[key] = value
 			}
 		}
 	}
 	for _, row := range rows {
 		for key := range row {
+			if isProductPerformanceInternalGroupField(key) {
+				continue
+			}
 			if isProductPerformanceMarginField(key) {
 				continue
 			}
@@ -4883,16 +5958,165 @@ func aggregateProductPerformanceRows(rows []map[string]any, groupField string) m
 			}
 		}
 	}
+	applyProductPerformanceDistinctSpread(out, marketSeen, customerSeen)
 	deriveProductPerformanceGroupMetrics(out, groupField)
 	out["performance_bucket"] = dominantProductPerformanceValue(rows, "performance_bucket")
 	return out
 }
 
+func addProductPerformanceDistinctSpread(row map[string]any, marketSeen, customerSeen map[string]map[string]bool) {
+	market := displayProductPerformanceMarketName(stringFromMap(row, "market_key"))
+	if market != "" && market != "STOK" {
+		for _, suffix := range productPerformancePeriodSuffixes() {
+			if floatFromMap(row, "sales_usd_"+suffix) > 0 {
+				if marketSeen[suffix] == nil {
+					marketSeen[suffix] = map[string]bool{}
+				}
+				marketSeen[suffix][market] = true
+			}
+		}
+	}
+	customer := strings.TrimSpace(stringFromMap(row, "customer_code"))
+	if customer != "" && customer != "-" {
+		for _, suffix := range productPerformancePeriodSuffixes() {
+			if floatFromMap(row, "sales_usd_"+suffix) > 0 {
+				if customerSeen[suffix] == nil {
+					customerSeen[suffix] = map[string]bool{}
+				}
+				customerSeen[suffix][customer] = true
+			}
+		}
+	}
+	for _, suffix := range productPerformancePeriodSuffixes() {
+		marketSeen = productPerformanceAddSeenStrings(marketSeen, suffix, productPerformanceStringSliceFromMap(row, "__market_keys_"+suffix))
+		customerSeen = productPerformanceAddSeenStrings(customerSeen, suffix, productPerformanceStringSliceFromMap(row, "__customer_keys_"+suffix))
+	}
+}
+
+func applyProductPerformanceDistinctSpread(row map[string]any, marketSeen, customerSeen map[string]map[string]bool) {
+	for _, suffix := range productPerformancePeriodSuffixes() {
+		marketField := "market_count_" + suffix
+		customerField := "customer_count_" + suffix
+		if seen := marketSeen[suffix]; len(seen) > 0 {
+			row[marketField] = len(seen)
+		}
+		if seen := customerSeen[suffix]; len(seen) > 0 {
+			row[customerField] = len(seen)
+		}
+		if floatFromMap(row, "sales_usd_"+suffix) > 0 && (suffix == "90d" || suffix == "total") {
+			if intFromMap(row, marketField) == 0 {
+				row[marketField] = 1
+			}
+			if intFromMap(row, customerField) == 0 {
+				if suffix == "total" {
+					row[customerField] = maxInt(1, intFromMap(row, "customer_count_90d"))
+				} else {
+					row[customerField] = 1
+				}
+			}
+		}
+	}
+}
+
+func productPerformanceAddSeenStrings(seen map[string]map[string]bool, suffix string, values []string) map[string]map[string]bool {
+	if len(values) == 0 {
+		return seen
+	}
+	if seen == nil {
+		seen = map[string]map[string]bool{}
+	}
+	if seen[suffix] == nil {
+		seen[suffix] = map[string]bool{}
+	}
+	for _, value := range values {
+		value = strings.TrimSpace(value)
+		if value == "" || value == "-" {
+			continue
+		}
+		seen[suffix][value] = true
+	}
+	return seen
+}
+
+func productPerformanceStringSliceFromMap(row map[string]any, field string) []string {
+	value, ok := row[field]
+	if !ok || value == nil {
+		return nil
+	}
+	switch v := value.(type) {
+	case []string:
+		return v
+	case []any:
+		out := make([]string, 0, len(v))
+		for _, item := range v {
+			text := strings.TrimSpace(fmt.Sprint(item))
+			if text != "" {
+				out = append(out, text)
+			}
+		}
+		return out
+	case string:
+		text := strings.TrimSpace(v)
+		if text == "" {
+			return nil
+		}
+		var parsed []string
+		if strings.HasPrefix(text, "[") && json.Unmarshal([]byte(text), &parsed) == nil {
+			return parsed
+		}
+		return []string{text}
+	default:
+		return nil
+	}
+}
+
+func isProductPerformanceInternalGroupField(field string) bool {
+	return strings.HasPrefix(field, "__")
+}
+
+func productPerformanceGroupRecommendation(row map[string]any, groupField string, count int) string {
+	groupField = strings.TrimSpace(groupField)
+	salesQty90 := floatFromMap(row, "sales_qty_90d")
+	salesUSD90 := floatFromMap(row, "sales_usd_90d")
+	stockQty := floatFromMap(row, "stock_qty")
+	marginCost := floatFromMap(row, "gross_margin_cost_90d")
+	if marginCost == 0 {
+		marginCost = floatFromMap(row, "gross_margin_90d")
+	}
+	switch groupField {
+	case "market_key":
+		if salesQty90 <= 0 && stockQty > 0 {
+			return "Bu piyasada son 90 gunde satis yok"
+		}
+		if marginCost < 0 {
+			return "Bu piyasada ciplak marj negatif"
+		}
+		return fmt.Sprintf("Piyasa satisi %.0f adet / %.0f USD", salesQty90, salesUSD90)
+	case "color_yaka":
+		if salesQty90 <= 0 && stockQty > 0 {
+			return "Renk/yaka stokta, son 90 gun satisi yok"
+		}
+		if marginCost < 0 {
+			return "Renk/yaka ciplak marji negatif"
+		}
+		return fmt.Sprintf("Renk/yaka satisi %.0f adet", salesQty90)
+	default:
+		if recommendation := strings.TrimSpace(stringFromMap(row, "recommendation")); recommendation != "" {
+			return recommendation
+		}
+		return fmt.Sprintf("%d satir", count)
+	}
+}
+
 func isProductPerformanceMarginField(field string) bool {
 	return strings.HasPrefix(field, "gross_margin")
 }
 
-func distinctProductPerformanceVariantStockQty(rows []map[string]any) float64 {
+func isProductPerformanceDistinctVariantStockMetric(field string) bool {
+	return field == "stock_qty" || strings.HasPrefix(field, "avg_stock_")
+}
+
+func distinctProductPerformanceVariantNumber(rows []map[string]any, field string) float64 {
 	seen := map[string]bool{}
 	total := 0.0
 	hasKey := false
@@ -4906,13 +6130,13 @@ func distinctProductPerformanceVariantStockQty(rows []map[string]any) float64 {
 			continue
 		}
 		seen[key] = true
-		total += floatFromMap(row, "stock_qty")
+		total += floatFromMap(row, field)
 	}
 	if hasKey {
 		return total
 	}
 	for _, row := range rows {
-		total += floatFromMap(row, "stock_qty")
+		total += floatFromMap(row, field)
 	}
 	return total
 }
@@ -4953,36 +6177,94 @@ func productPerformanceMapVariantKey(row map[string]any) string {
 }
 
 func deriveProductPerformanceGroupMetrics(out map[string]any, groupField string) {
-	for _, suffix := range []string{"90d", "180d", "365d", "total"} {
+	normalizeProductPerformanceCostFields(out)
+	isGroup := strings.TrimSpace(groupField) != ""
+	if isGroup {
+		out["group_field"] = groupField
+	}
+	preservedCustomerScores := map[string]float64{}
+	preservedProductScores := map[string]float64{}
+	preservedStockTurnovers := map[string]float64{}
+	for _, suffix := range productPerformancePeriodSuffixes() {
+		if score, ok := productPerformanceOptionalFloat(out, "customer_score_"+suffix); ok {
+			preservedCustomerScores[suffix] = score
+		}
+		if score, ok := productPerformanceOptionalFloat(out, "performance_score_"+suffix); ok {
+			preservedProductScores[suffix] = score
+		}
+		if isGroup {
+			if turnover, ok := productPerformanceOptionalFloat(out, "stock_turnover_"+suffix); ok {
+				preservedStockTurnovers[suffix] = turnover
+			}
+		}
+	}
+	if score, ok := productPerformanceOptionalFloat(out, "performance_score"); ok {
+		if _, exists := preservedProductScores["90d"]; !exists {
+			preservedProductScores["90d"] = score
+		}
+	}
+	for _, suffix := range productPerformancePeriodSuffixes() {
 		sales := floatFromMap(out, "sales_usd_"+suffix)
 		qty := floatFromMap(out, "sales_qty_"+suffix)
 		stockQty := floatFromMap(out, "stock_qty")
-		if _, exists := out["stock_turnover_"+suffix]; !exists && stockQty > 0 {
-			out["stock_turnover_"+suffix] = qty / stockQty
+		turnoverBase := floatFromMap(out, "avg_stock_"+suffix)
+		if turnoverBase <= 0 && !isGroup {
+			turnoverBase = stockQty
+		}
+		days := productPerformancePeriodDays(out, suffix)
+		avgDaily := floatFromMap(out, "avg_daily_sales_"+suffix)
+		if days > 0 {
+			avgDaily = qty / days
+			out["avg_daily_sales_"+suffix] = avgDaily
+		}
+		if avgDaily > 0 && turnoverBase > 0 {
+			out["stock_days_"+suffix] = turnoverBase / avgDaily
+		} else if qty <= 0 && stockQty > 0 {
+			out["stock_days_"+suffix] = 9999
+		} else if _, ok := out["stock_days_"+suffix]; !ok {
+			out["stock_days_"+suffix] = 0
+		}
+		out["stock_turnover_"+suffix] = productPerformanceAnnualizedStockTurnover(qty, turnoverBase, days)
+		if turnover, ok := preservedStockTurnovers[suffix]; ok {
+			out["stock_turnover_"+suffix] = turnover
 		}
 		if qty > 0 {
 			out["avg_price_usd_"+suffix] = sales / qty
 		}
 		basePrice, hasBasePrice := productPerformanceUnitCostForSuffix(out, "base_price_usd", suffix)
 		costPrice, hasCostPrice := productPerformanceUnitCostForSuffix(out, "cost_price_usd", suffix)
+		if hasBasePrice {
+			out["base_price_usd_"+suffix] = basePrice
+		}
+		if hasCostPrice {
+			out["cost_price_usd_"+suffix] = costPrice
+		}
 		if qty > 0 && hasBasePrice {
-			out["unit_profit_base_"+suffix] = (sales / qty) - basePrice
+			avgPrice := sales / qty
+			out["unit_profit_base_"+suffix] = avgPrice - basePrice
 			out["gross_profit_base_usd_"+suffix] = sales - (qty * basePrice)
+		} else {
+			out["unit_profit_base_"+suffix] = 0
+			out["gross_profit_base_usd_"+suffix] = 0
 		}
 		if qty > 0 && hasCostPrice {
-			out["unit_profit_cost_"+suffix] = (sales / qty) - costPrice
+			avgPrice := sales / qty
+			out["unit_profit_cost_"+suffix] = avgPrice - costPrice
 			out["gross_profit_cost_usd_"+suffix] = sales - (qty * costPrice)
+			out["gross_profit_usd_"+suffix] = out["gross_profit_cost_usd_"+suffix]
+		} else {
+			out["unit_profit_cost_"+suffix] = 0
+			out["gross_profit_cost_usd_"+suffix] = 0
+			out["gross_profit_usd_"+suffix] = 0
 		}
 		if sales > 0 {
-			if _, ok := out["gross_profit_base_usd_"+suffix]; ok {
 			out["gross_margin_base_"+suffix] = floatFromMap(out, "gross_profit_base_usd_"+suffix) / sales
-			}
-			if _, ok := out["gross_profit_cost_usd_"+suffix]; ok {
 			out["gross_margin_cost_"+suffix] = floatFromMap(out, "gross_profit_cost_usd_"+suffix) / sales
-			}
-			if _, ok := out["gross_profit_usd_"+suffix]; ok {
 			out["gross_margin_"+suffix] = floatFromMap(out, "gross_profit_usd_"+suffix) / sales
-			}
+		} else {
+			out["gross_margin_base_"+suffix] = 0
+			out["gross_margin_cost_"+suffix] = 0
+			out["gross_margin_"+suffix] = 0
 		}
 	}
 	orderUSD := floatFromMap(out, "order_usd")
@@ -4997,31 +6279,130 @@ func deriveProductPerformanceGroupMetrics(out map[string]any, groupField string)
 	if _, ok := out["net_stock_after_order"]; ok || orderQty > 0 {
 		out["net_stock_after_order"] = floatFromMap(out, "stock_qty") - orderQty
 	}
-	out["customer_score_90d"] = productPerformanceCustomerSalesPeriodScore(rowPeriodMetricMap(out, "90d"))
-	out["customer_score_180d"] = productPerformanceCustomerSalesPeriodScore(rowPeriodMetricMap(out, "180d"))
-	out["customer_score_365d"] = productPerformanceCustomerSalesPeriodScore(rowPeriodMetricMap(out, "365d"))
-	out["customer_score_total"] = productPerformanceCustomerSalesPeriodScore(rowPeriodMetricMap(out, "total"))
-	out["performance_score_90d"] = productPerformanceSalesPeriodScore(out, "90d")
-	out["performance_score_180d"] = productPerformanceSalesPeriodScore(out, "180d")
-	out["performance_score_365d"] = productPerformanceSalesPeriodScore(out, "365d")
-	out["performance_score_total"] = productPerformanceSalesPeriodScore(out, "total")
-	out["performance_score"] = productPerformanceGroupScore(out, groupField)
+	for _, suffix := range productPerformancePeriodSuffixes() {
+		if score, ok := preservedCustomerScores[suffix]; ok {
+			out["customer_score_"+suffix] = score
+		} else {
+			out["customer_score_"+suffix] = productPerformanceCustomerSalesPeriodScore(rowPeriodMetricMap(out, suffix))
+		}
+		if score, ok := preservedProductScores[suffix]; ok {
+			out["performance_score_"+suffix] = score
+		} else {
+			out["performance_score_"+suffix] = productPerformanceSalesPeriodScore(out, suffix)
+		}
+	}
+	out["performance_score"] = out["performance_score_90d"]
 	if floatFromMap(out, "order_qty") > 0 || floatFromMap(out, "order_usd") > 0 {
 		score := productPerformanceOrderGroupScore(out)
 		out["performance_score_90d"] = score
 		out["performance_score_180d"] = score
 		out["performance_score_365d"] = score
 		out["performance_score_total"] = score
+		out["performance_score"] = score
 	}
 }
 
-func productPerformanceUnitCostForSuffix(row map[string]any, baseField, suffix string) (float64, bool) {
-	if value, ok := row[baseField+"_"+suffix]; ok {
+func normalizeProductPerformanceCostFields(row map[string]any) {
+	normalize := func(costField, baseField string) {
+		cost, hasCost := productPerformanceOptionalFloat(row, costField)
+		base, hasBase := productPerformanceOptionalFloat(row, baseField)
+		if !hasCost && !hasBase {
+			return
+		}
+		cost, base = normalizeProductPerformanceCostPair(cost, base)
+		if hasCost || cost > 0 {
+			row[costField] = cost
+		}
+		if hasBase || base > 0 {
+			row[baseField] = base
+		}
+	}
+	normalize("cost_price_usd", "base_price_usd")
+	for _, suffix := range productPerformancePeriodSuffixes() {
+		normalize("cost_price_usd_"+suffix, "base_price_usd_"+suffix)
+	}
+}
+
+func productPerformancePeriodSuffixes() []string {
+	return []string{"90d", "180d", "365d", "total"}
+}
+
+func productPerformancePeriodDays(row map[string]any, suffix string) float64 {
+	switch suffix {
+	case "90d":
+		return 90
+	case "180d":
+		return 180
+	case "365d":
+		return 360
+	case "total":
+		start := parseProductPerformanceDate(stringFromMap(row, "period_start"))
+		if start.IsZero() {
+			start = time.Date(2022, 1, 1, 0, 0, 0, 0, time.UTC)
+		}
+		end := parseProductPerformanceDate(stringFromMap(row, "period_end"))
+		if end.IsZero() {
+			end = parseProductPerformanceDate(stringFromMap(row, "kpi_date"))
+		}
+		if end.IsZero() || end.Before(start) {
+			return 0
+		}
+		return end.Sub(start).Hours()/24 + 1
+	default:
+		return 0
+	}
+}
+
+const productPerformanceStockTurnoverYearDays = 360.0
+
+func productPerformanceAnnualizedStockTurnover(salesQty, avgStock, periodDays float64) float64 {
+	if salesQty <= 0 || avgStock <= 0 {
+		return 0
+	}
+	raw := salesQty / avgStock
+	if periodDays <= 0 {
+		return raw
+	}
+	return raw * productPerformanceStockTurnoverYearDays / periodDays
+}
+
+func parseProductPerformanceDate(value string) time.Time {
+	value = strings.TrimSpace(value)
+	if value == "" {
+		return time.Time{}
+	}
+	if len(value) >= len("2006-01-02") {
+		value = value[:len("2006-01-02")]
+	}
+	t, err := time.Parse("2006-01-02", value)
+	if err != nil {
+		return time.Time{}
+	}
+	return t
+}
+
+func productPerformanceOptionalFloat(row map[string]any, field string) (float64, bool) {
+	value, ok := row[field]
+	if !ok {
+		return 0, false
+	}
 	return floatFromAny(value), true
 }
+
+func productPerformanceUnitCostForSuffix(row map[string]any, baseField, suffix string) (float64, bool) {
+	hasSuffix := false
+	if value, ok := row[baseField+"_"+suffix]; ok {
+		hasSuffix = true
+		if n := floatFromAny(value); n > 0 {
+			return n, true
+		}
+	}
 	if value, ok := row[baseField]; ok {
 		return floatFromAny(value), true
 	}
+	if hasSuffix {
+		return 0, true
+	}
 	return 0, false
 }
 
@@ -5049,25 +6430,36 @@ func productPerformanceSalesGroupScore(row map[string]any) float64 {
 }
 
 func productPerformanceSalesPeriodScore(row map[string]any, suffix string) float64 {
+	salesUSD := floatFromMap(row, "sales_usd_"+suffix)
 	salesIndex := floatFromMap(row, "sales_index_"+suffix)
+	if salesIndex <= 0 && suffix == "total" {
+		salesIndex = floatFromMap(row, "sales_index_total")
+	}
 	margin := floatFromMap(row, "gross_margin_cost_"+suffix)
 	if margin == 0 {
 		margin = floatFromMap(row, "gross_margin_"+suffix)
 	}
-	invoiceCount := floatFromMap(row, "invoice_count_"+suffix)
 	salesQty := floatFromMap(row, "sales_qty_"+suffix)
 	stockTurnover := floatFromMap(row, "stock_turnover_"+suffix)
 	if stockTurnover == 0 {
-		if stockQty := floatFromMap(row, "stock_qty"); stockQty > 0 {
-			stockTurnover = salesQty / stockQty
+		avgStock := floatFromMap(row, "avg_stock_"+suffix)
+		if avgStock <= 0 && strings.TrimSpace(stringFromMap(row, "group_field")) == "" {
+			avgStock = floatFromMap(row, "stock_qty")
+		}
+		if avgStock > 0 {
+			stockTurnover = productPerformanceAnnualizedStockTurnover(salesQty, avgStock, productPerformancePeriodDays(row, suffix))
 		}
 	}
-	score := minFloat(35, maxFloat(0, salesIndex)*18) +
-		minFloat(30, maxFloat(0, margin)*60) +
-		minFloat(15, invoiceCount*1.5) +
-		minFloat(10, salesQty/10) +
-		minFloat(10, maxFloat(0, stockTurnover)*5)
-	return score
+	return productPerformanceProductScore(
+		suffix,
+		salesUSD,
+		salesIndex,
+		margin,
+		stockTurnover,
+		productPerformancePeriodCount(row, "market_count", suffix),
+		productPerformancePeriodCount(row, "customer_count", suffix),
+		productPerformancePeriodDays(row, suffix),
+	)
 }
 
 func productPerformanceCustomerSalesGroupScore(row map[string]any) float64 {
@@ -5095,23 +6487,207 @@ func productPerformanceCustomerSalesGroupScore(row map[string]any) float64 {
 func productPerformanceCustomerSalesPeriodScore(row map[string]any) float64 {
 	salesUSD := floatFromMap(row, "sales_usd")
 	margin := floatFromMap(row, "gross_margin_cost")
-	invoiceCount := floatFromMap(row, "invoice_count")
+	if margin == 0 {
+		margin = floatFromMap(row, "gross_margin")
+	}
 	salesQty := floatFromMap(row, "sales_qty")
 	productCount := floatFromMap(row, "product_count")
-	return minFloat(35, salesUSD/1000) +
-		minFloat(25, maxFloat(0, margin)*55) +
-		minFloat(20, invoiceCount*2) +
-		minFloat(10, salesQty/10) +
-		minFloat(10, productCount)
+	if groupCount := floatFromMap(row, "product_group_count"); groupCount > 0 {
+		productCount = groupCount
+	}
+	suffix := strings.TrimSpace(stringFromMap(row, "suffix"))
+	if suffix == "" {
+		suffix = "90d"
+	}
+	return productPerformanceCustomerScore(suffix, salesUSD, margin, productCount, salesQty)
+}
+
+func productPerformanceProductScore(suffix string, salesUSD, salesIndex, margin, stockTurnover, marketCount, customerCount float64, periodDays ...float64) float64 {
+	if salesUSD <= 0 {
+		return 1
+	}
+	days := productPerformanceScorePeriodDays(suffix, periodDays...)
+	revenueScore := productPerformanceRevenueScore(suffix, salesUSD, salesIndex, productPerformanceProductRevenueTargetForDays(suffix, days))
+	score := 0.30*productPerformanceMarginComponentScore(margin) +
+		0.20*productPerformanceRatioScore(stockTurnover, productPerformanceStockTurnoverTarget(suffix)) +
+		0.20*revenueScore +
+		0.05*productPerformanceRatioScore(marketCount, productPerformanceMarketSpreadTarget(suffix)) +
+		0.25*productPerformanceRatioScore(customerCount, productPerformanceCustomerSpreadTargetForDays(suffix, days))
+	return productPerformanceRoundScore(score)
+}
+
+func productPerformanceStockTurnoverTarget(suffix string) float64 {
+	return 4
+}
+
+func productPerformanceMarketSpreadTarget(suffix string) float64 {
+	switch suffix {
+	case "90d":
+		return 3
+	case "180d":
+		return 3
+	case "365d":
+		return 6
+	default:
+		return 6
+	}
+}
+
+func productPerformanceCustomerSpreadTarget(suffix string) float64 {
+	return productPerformanceCustomerSpreadTargetForDays(suffix, productPerformanceScorePeriodDays(suffix))
+}
+
+func productPerformanceCustomerSpreadTargetForDays(suffix string, periodDays float64) float64 {
+	switch suffix {
+	case "90d":
+		return 8
+	case "180d":
+		return 20
+	case "365d":
+		return 50
+	default:
+		return 20 * productPerformanceTotalPeriodMultiplier(periodDays)
+	}
+}
+
+func productPerformanceCustomerScore(suffix string, salesUSD, margin, productGroupCount, salesQty float64) float64 {
+	if salesUSD <= 0 {
+		return 1
+	}
+	score := 0.35*productPerformanceRatioScore(salesUSD, productPerformanceCustomerRevenueTarget(suffix)) +
+		0.30*productPerformanceMarginComponentScore(margin) +
+		0.20*productPerformanceRatioScore(productGroupCount, 8) +
+		0.15*productPerformanceRatioScore(salesQty, productPerformanceCustomerQtyTarget(suffix))
+	return productPerformanceRoundScore(score)
+}
+
+func productPerformanceRevenueScore(suffix string, salesUSD, salesIndex, absoluteTarget float64) float64 {
+	return productPerformanceRatioScore(salesUSD, absoluteTarget)
+}
+
+func productPerformanceRelativeIndex(value, average float64) float64 {
+	if value <= 0 || average <= 0 {
+		return 0
+	}
+	return value / average
+}
+
+func productPerformanceMarginComponentScore(margin float64) float64 {
+	return productPerformanceRatioScore(maxFloat(0, margin), 0.45)
+}
+
+func productPerformanceRatioScore(value, target float64) float64 {
+	if target <= 0 || value <= 0 {
+		return 0
+	}
+	return minFloat(100, maxFloat(0, value)*100/target)
+}
+
+func productPerformanceRoundScore(score float64) float64 {
+	if score < 0 {
+		score = 0
+	}
+	if score > 100 {
+		score = 100
+	}
+	return math.Round(score*10000) / 10000
+}
+
+func productPerformanceProductRevenueTarget(suffix string) float64 {
+	return productPerformanceProductRevenueTargetForDays(suffix, productPerformanceScorePeriodDays(suffix))
+}
+
+func productPerformanceProductRevenueTargetForDays(suffix string, periodDays float64) float64 {
+	switch suffix {
+	case "180d":
+		return 50000
+	case "365d":
+		return 100000
+	case "total":
+		return 50000 * productPerformanceTotalPeriodMultiplier(periodDays)
+	default:
+		return 25000
+	}
+}
+
+func productPerformanceScorePeriodDays(suffix string, periodDays ...float64) float64 {
+	if len(periodDays) > 0 && periodDays[0] > 0 {
+		return periodDays[0]
+	}
+	switch suffix {
+	case "90d":
+		return 90
+	case "180d":
+		return 180
+	case "365d":
+		return 360
+	case "total":
+		return productPerformancePeriodDays(map[string]any{
+			"kpi_date": time.Now().Format("2006-01-02"),
+		}, "total")
+	default:
+		return 0
+	}
+}
+
+func productPerformanceTotalPeriodMultiplier(periodDays float64) float64 {
+	if periodDays <= 0 {
+		periodDays = 180
+	}
+	return maxFloat(1, periodDays/180.0)
+}
+
+func productPerformanceCustomerRevenueTarget(suffix string) float64 {
+	switch suffix {
+	case "180d":
+		return 50000
+	case "365d":
+		return 100000
+	case "total":
+		return 300000
+	default:
+		return 25000
+	}
+}
+
+func productPerformanceCustomerQtyTarget(suffix string) float64 {
+	switch suffix {
+	case "180d":
+		return 1000
+	case "365d":
+		return 2000
+	case "total":
+		return 6000
+	default:
+		return 500
+	}
+}
+
+func productPerformancePeriodCount(row map[string]any, prefix, suffix string) float64 {
+	if value, ok := row[prefix+"_"+suffix]; ok {
+		if n := floatFromAny(value); n > 0 {
+			return n
+		}
+	}
+	if suffix == "total" {
+		if value, ok := row[prefix+"_total"]; ok {
+			return floatFromAny(value)
+		}
+	}
+	if value, ok := row[prefix+"_90d"]; ok {
+		return floatFromAny(value)
+	}
+	return floatFromAny(row[prefix])
 }
 
 func rowPeriodMetricMap(row map[string]any, suffix string) map[string]any {
 	return map[string]any{
+		"suffix":              suffix,
 		"sales_usd":           floatFromMap(row, "sales_usd_"+suffix),
 		"gross_margin_cost":   floatFromMap(row, "gross_margin_cost_"+suffix),
 		"gross_margin":        floatFromMap(row, "gross_margin_"+suffix),
-		"invoice_count":     floatFromMap(row, "invoice_count_"+suffix),
 		"sales_qty":           floatFromMap(row, "sales_qty_"+suffix),
+		"product_group_count": productPerformancePeriodCount(row, "product_group_count", suffix),
 		"product_count":       floatFromMap(row, "product_count"),
 	}
 }
@@ -5170,7 +6746,7 @@ func sanitizeProductPerformanceGroupLevels(levels []string) []string {
 func defaultProductPerformanceGroupLevels(mode string) []string {
 	switch mode {
 	case "sales_color_yaka_market_customer":
-		return []string{"color_yaka", "urun_ilk_grubu", "askili_yan", "kategori", "urun_ana_grubu", "urun_alt_grubu", "product_code", "country", "market_key", "customer_segment", "customer_code", "customer_name"}
+		return []string{"urun_ana_grubu", "color_yaka", "market_key", "customer_code", "customer_name", "urun_alt_grubu", "product_code"}
 	case "product_detail":
 		return []string{"urun_alt_grubu", "product_code", "color_yaka", "market_key"}
 	case "idle":
@@ -5211,7 +6787,16 @@ func mapGroupValue(row map[string]any, field string) string {
 }
 
 func shouldSumProductPerformanceField(field string) bool {
-	return strings.HasSuffix(field, "_qty") ||
+	return strings.HasPrefix(field, "sales_qty_") ||
+		strings.HasPrefix(field, "sales_usd_") ||
+		strings.HasPrefix(field, "avg_daily_sales_") ||
+		strings.HasPrefix(field, "gross_profit_") ||
+		strings.HasPrefix(field, "invoice_count_") ||
+		strings.HasPrefix(field, "market_count_") ||
+		strings.HasPrefix(field, "customer_count_") ||
+		strings.HasPrefix(field, "product_group_count_") ||
+		strings.HasPrefix(field, "product_count_") ||
+		strings.HasSuffix(field, "_qty") ||
 		strings.HasSuffix(field, "_usd") ||
 		strings.HasSuffix(field, "_count") ||
 		strings.HasSuffix(field, "_value_usd") ||
@@ -5228,6 +6813,9 @@ func shouldSumProductPerformanceField(field string) bool {
 }
 
 func shouldAverageProductPerformanceField(field string) bool {
+	if strings.HasPrefix(field, "avg_daily_sales_") {
+		return false
+	}
 	return strings.HasPrefix(field, "avg_") ||
 		strings.HasPrefix(field, "unit_") ||
 		strings.HasPrefix(field, "base_price") ||
@@ -5236,11 +6824,18 @@ func shouldAverageProductPerformanceField(field string) bool {
 		strings.HasPrefix(field, "expected_margin") ||
 		strings.HasPrefix(field, "sales_index") ||
 		strings.HasPrefix(field, "performance_score") ||
+		strings.HasPrefix(field, "customer_score") ||
 		strings.HasPrefix(field, "stock_days") ||
 		strings.HasPrefix(field, "stock_turnover")
 }
 
 func productPerformanceMetricWeightField(field string) string {
+	if productPerformanceUsesCostWeight(field) {
+		return "__product_cost_weight"
+	}
+	if strings.HasPrefix(field, "stock_turnover") {
+		return "sales_qty_" + productPerformanceScoreSuffix(field)
+	}
 	if strings.Contains(field, "_180d") {
 		return "sales_qty_180d"
 	}
@@ -5259,11 +6854,75 @@ func productPerformanceMetricWeightField(field string) string {
 	return "sales_qty_90d"
 }
 
+func productPerformanceUsesCostWeight(field string) bool {
+	if !(strings.HasPrefix(field, "base_price") || strings.HasPrefix(field, "cost_price")) {
+		return false
+	}
+	return !strings.Contains(field, "_90d") &&
+		!strings.Contains(field, "_180d") &&
+		!strings.Contains(field, "_365d") &&
+		!strings.Contains(field, "_total")
+}
+
+func productPerformanceMetricWeight(row map[string]any, field string) float64 {
+	if productPerformanceUsesScoreWeight(field) {
+		return productPerformanceScoreWeight(row, productPerformanceScoreSuffix(field))
+	}
+	weightField := productPerformanceMetricWeightField(field)
+	if weightField == "__product_cost_weight" {
+		return productPerformanceCostWeight(row)
+	}
+	return floatFromMap(row, weightField)
+}
+
+func productPerformanceUsesScoreWeight(field string) bool {
+	return strings.HasPrefix(field, "performance_score") ||
+		strings.HasPrefix(field, "customer_score")
+}
+
+func productPerformanceScoreSuffix(field string) string {
+	switch {
+	case strings.Contains(field, "_180d"):
+		return "180d"
+	case strings.Contains(field, "_365d"):
+		return "365d"
+	case strings.Contains(field, "_total"):
+		return "total"
+	default:
+		return "90d"
+	}
+}
+
+func productPerformanceScoreWeight(row map[string]any, suffix string) float64 {
+	if weight := floatFromMap(row, "sales_qty_"+suffix); weight > 0 {
+		return weight
+	}
+	return 0
+}
+
+func productPerformanceCostWeight(row map[string]any) float64 {
+	if weight := floatFromMap(row, "sales_qty_total"); weight > 0 {
+		return weight
+	}
+	for _, field := range []string{"sales_qty_365d", "sales_qty_180d", "sales_qty_90d"} {
+		if weight := floatFromMap(row, field); weight > 0 {
+			return weight
+		}
+	}
+	return 0
+}
+
 func weightedAverageProductPerformanceRows(rows []map[string]any, valueField, qtyField string) float64 {
+	if productPerformanceUsesScoreWeight(valueField) {
+		return weightedAverageProductPerformanceScoreRows(rows, valueField, productPerformanceScoreSuffix(valueField))
+	}
 	var weighted, qty float64
 	for _, row := range rows {
 		value := floatFromMap(row, valueField)
 		weight := floatFromMap(row, qtyField)
+		if qtyField == "__product_cost_weight" {
+			weight = productPerformanceCostWeight(row)
+		}
 		if weight > 0 {
 			weighted += value * weight
 			qty += weight
@@ -5272,9 +6931,74 @@ func weightedAverageProductPerformanceRows(rows []map[string]any, valueField, qt
 	if qty > 0 {
 		return weighted / qty
 	}
+	if qtyField == "__product_cost_weight" {
+		return averageProductPerformanceDistinctVariantField(rows, valueField)
+	}
 	return 0
 }
 
+func weightedAverageProductPerformanceScoreRows(rows []map[string]any, valueField, suffix string) float64 {
+	var weighted, weight, sum, count float64
+	for _, row := range rows {
+		value, ok := productPerformanceOptionalFloat(row, valueField)
+		if !ok {
+			continue
+		}
+		rowWeight := productPerformanceScoreWeight(row, suffix)
+		if rowWeight > 0 {
+			weighted += value * rowWeight
+			weight += rowWeight
+		}
+		sum += value
+		count++
+	}
+	if weight > 0 {
+		return weighted / weight
+	}
+	if count > 0 {
+		return sum / count
+	}
+	return 0
+}
+
+func averageProductPerformanceDistinctVariantField(rows []map[string]any, valueField string) float64 {
+	seen := map[string]bool{}
+	sum := 0.0
+	count := 0.0
+	hasKey := false
+	for _, row := range rows {
+		key := productPerformanceMapVariantKey(row)
+		if key == "" {
+			continue
+		}
+		hasKey = true
+		if seen[key] {
+			continue
+		}
+		seen[key] = true
+		value := floatFromMap(row, valueField)
+		if value <= 0 {
+			continue
+		}
+		sum += value
+		count++
+	}
+	if !hasKey {
+		for _, row := range rows {
+			value := floatFromMap(row, valueField)
+			if value <= 0 {
+				continue
+			}
+			sum += value
+			count++
+		}
+	}
+	if count <= 0 {
+		return 0
+	}
+	return sum / count
+}
+
 func dominantProductPerformanceValue(rows []map[string]any, field string) string {
 	counts := map[string]int{}
 	for _, row := range rows {
@@ -5357,9 +7081,7 @@ func cleanProductPerformanceFirstGroup(value string) string {
 	if value == "-" {
 		return ""
 	}
-	normalized := strings.ToUpper(value)
-	normalized = strings.NewReplacer("İ", "I", "Ş", "S", "Ğ", "G", "Ü", "U", "Ö", "O", "Ç", "C").Replace(normalized)
-	switch normalized {
+	switch normalizeProductPerformanceTurkishText(value) {
 	case "YETISKIN", "YETISKIN/GARSON", "GARSON":
 		return ""
 	default:
@@ -5367,6 +7089,24 @@ func cleanProductPerformanceFirstGroup(value string) string {
 	}
 }
 
+func normalizeProductPerformanceTurkishText(value string) string {
+	value = strings.ToUpper(strings.TrimSpace(value))
+	return strings.NewReplacer(
+		"\u0130", "I",
+		"\u015E", "S",
+		"\u011E", "G",
+		"\u00DC", "U",
+		"\u00D6", "O",
+		"\u00C7", "C",
+		"\u0131", "I",
+		"\u015F", "S",
+		"\u011F", "G",
+		"\u00FC", "U",
+		"\u00F6", "O",
+		"\u00E7", "C",
+	).Replace(value)
+}
+
 func cleanProductPerformanceOptionalAttr(value string) string {
 	value = strings.TrimSpace(value)
 	if value == "-" {
@@ -5408,6 +7148,13 @@ func minInt(a, b int) int {
 	return b
 }
 
+func maxInt(a, b int) int {
+	if a > b {
+		return a
+	}
+	return b
+}
+
 func ListProductPerformanceSalesDetails(ctx context.Context, pg *sql.DB, productCode, colorCode, yakaKodu string, limit int) ([]models.ProductPerformanceSalesDetailRow, error) {
 	if limit <= 0 || limit > 500 {
 		limit = 100
@@ -5428,7 +7175,7 @@ FROM mk_product_performance_sales_daily
 WHERE product_code=$1
   AND color_code=$2
   AND yaka_kodu=$3
-  AND upper(btrim(COALESCE(urun_ilk_grubu,''))) NOT IN ('MALZEMELI FASON', 'MALZEMESIZ FASON', 'DIGER')
+  AND upper(translate(btrim(COALESCE(urun_ilk_grubu,'')), U&'\0130\015E\011E\00DC\00D6\00C7\0131\015F\011F\00FC\00F6\00E7', 'ISGUOCisguoc')) NOT IN ('MALZEMELI FASON', 'MALZEMESIZ FASON', 'MAZLEMELI FASON', 'MAZEMESIZ FASON', 'DIGER')
 ORDER BY sales_usd DESC, sales_date DESC
 LIMIT $4
 `, strings.TrimSpace(productCode), strings.TrimSpace(colorCode), strings.TrimSpace(yakaKodu), limit)
@@ -5679,21 +7426,30 @@ func productPerformanceVariantKey(productCode, colorCode, yakaKodu string) strin
 }
 
 func normalizeProductPerformanceCostPair(costPriceUSD, basePriceUSD float64) (float64, float64) {
-	if costPriceUSD > 0 && basePriceUSD > 0 && costPriceUSD < basePriceUSD {
+	if costPriceUSD > 0 && basePriceUSD > 0 && costPriceUSD > basePriceUSD {
 		return basePriceUSD, costPriceUSD
 	}
 	return costPriceUSD, basePriceUSD
 }
 
-const productPerformanceExcludedFirstGroupsSQL = "('MALZEMELI FASON', 'MALZEMESIZ FASON', 'DIGER')"
+const productPerformanceTurkishTranslateSQL = "U&'\\0130\\015E\\011E\\00DC\\00D6\\00C7\\0131\\015F\\011F\\00FC\\00F6\\00E7', 'ISGUOCisguoc'"
+const productPerformanceExcludedFirstGroupsSQL = "('MALZEMELI FASON', 'MALZEMESIZ FASON', 'MAZLEMELI FASON', 'MAZEMESIZ FASON', 'DIGER')"
+
+func productPerformanceNormalizedTextSQL(expr string) string {
+	return "upper(translate(btrim(COALESCE(" + expr + ",'')), " + productPerformanceTurkishTranslateSQL + "))"
+}
+
+func productPerformanceCleanFirstGroupSQL(expr string) string {
+	return "CASE WHEN btrim(COALESCE(" + expr + ",'')) = '-' THEN '' WHEN " + productPerformanceNormalizedTextSQL(expr) + " IN ('YETISKIN', 'YETISKIN/GARSON', 'GARSON') THEN '' ELSE COALESCE(" + expr + ",'') END"
+}
 
 func productPerformanceAllowedFirstGroupSQL(expr string) string {
-	return "upper(btrim(COALESCE(" + expr + ",''))) NOT IN " + productPerformanceExcludedFirstGroupsSQL
+	return productPerformanceNormalizedTextSQL(expr) + " NOT IN " + productPerformanceExcludedFirstGroupsSQL
 }
 
 func isExcludedProductPerformanceFirstGroup(value string) bool {
-	switch strings.ToUpper(strings.TrimSpace(value)) {
-	case "MALZEMELI FASON", "MALZEMESIZ FASON", "DIGER":
+	switch normalizeProductPerformanceTurkishText(value) {
+	case "MALZEMELI FASON", "MALZEMESIZ FASON", "MAZLEMELI FASON", "MAZEMESIZ FASON", "DIGER":
 		return true
 	default:
 		return false
@@ -5762,7 +7518,7 @@ SELECT DISTINCT ON (product_code, color_code, yaka_kodu)
 FROM mk_product_performance_kpi_daily
 WHERE kpi_date = (SELECT kpi_date FROM Latest)
   AND product_code || '|' || color_code || '|' || yaka_kodu = ANY($1)
-  AND upper(btrim(COALESCE(urun_ilk_grubu,''))) NOT IN ('MALZEMELI FASON', 'MALZEMESIZ FASON', 'DIGER')
+  AND upper(translate(btrim(COALESCE(urun_ilk_grubu,'')), U&'\0130\015E\011E\00DC\00D6\00C7\0131\015F\011F\00FC\00F6\00E7', 'ISGUOCisguoc')) NOT IN ('MALZEMELI FASON', 'MALZEMESIZ FASON', 'MAZLEMELI FASON', 'MAZEMESIZ FASON', 'DIGER')
 ORDER BY product_code, color_code, yaka_kodu, performance_score DESC
 `, pq.Array(variantKeys))
 	if err != nil {
@@ -5818,68 +7574,68 @@ GROUP BY product_code, color_code, yaka_kodu
 func productPerformanceOrderRecommendation(row models.ProductPerformanceOrderAnalysisRow) (string, string) {
 	switch {
 	case row.OrderQty > 0 && row.NetStockAfterOrder < 0 && row.ExpectedProfitCostUSD >= 0:
-		return "STOKSUZ_TALEP", "Açık sipariş stoktan büyük. Karlı talep var; üretim/satın alma önceliği ver."
+		return "STOKSUZ_TALEP", "Acik siparis stoktan buyuk. Karli talep var; uretim/satin alma onceligi ver."
 	case row.ExpectedProfitCostUSD < 0:
-		return "FIYAT_BASKISI", "Açık sipariş çıplak maliyete göre zarar yazıyor. Fiyat/maliyet kontrol edilmeli."
+		return "FIYAT_BASKISI", "Acik siparis ciplak maliyete gore zarar yaziyor. Fiyat/maliyet kontrol edilmeli."
 	case row.ExpectedMarginCost >= 0.25 && row.NetStockAfterOrder >= 0:
-		return "YILDIZ_URUN", "Açık sipariş karlı ve stok karşılıyor. Teslimat korunmalı."
+		return "YILDIZ_URUN", "Acik siparis karli ve stok karsiliyor. Teslimat korunmali."
 	case row.ExpectedMarginCost >= 0.25 && row.NetStockAfterOrder < 0:
-		return "FIYAT_FIRSATI", "Karlı talep var ama stok yetersiz. Üretim planına alınmalı."
+		return "FIYAT_FIRSATI", "Karli talep var ama stok yetersiz. Uretim planina alinmali."
 	case row.OverdueQty > 0:
-		return "TAKIP", "Termin gecikmesi olan açık sipariş var. Operasyon takibi gerekli."
+		return "TAKIP", "Termin gecikmesi olan acik siparis var. Operasyon takibi gerekli."
 	default:
-		return "TAKIP", "Sipariş, stok ve fiyat düzenli izlenmeli."
+		return "TAKIP", "Siparis, stok ve fiyat duzenli izlenmeli."
 	}
 }
 
 func productPerformanceOrderGroupRecommendation(row models.ProductPerformanceOrderGroupRow) (string, string) {
 	switch {
 	case row.ExpectedProfitCostUSD < 0:
-		return "FIYAT_BASKISI", "Çıplak maliyete göre zarar yazan açık sipariş var. Fiyat/maliyet acil kontrol edilmeli."
+		return "FIYAT_BASKISI", "Ciplak maliyete gore zarar yazan acik siparis var. Fiyat/maliyet acil kontrol edilmeli."
 	case row.ExpectedProfitBaseUSD < 0:
-		return "FIYAT_BASKISI", "Taban maliyete göre brüt zarar var. Satış fiyatı veya iskonto kontrol edilmeli."
+		return "FIYAT_BASKISI", "Taban maliyete gore brut zarar var. Satis fiyati veya iskonto kontrol edilmeli."
 	case row.NetStockAfterOrder < 0 && row.ExpectedProfitCostUSD >= 0:
-		return "STOKSUZ_TALEP", "Karlı açık talep var ama stok yetersiz. Üretim/satın alma önceliği ver."
+		return "STOKSUZ_TALEP", "Karli acik talep var ama stok yetersiz. Uretim/satin alma onceligi ver."
 	case row.ExpectedMarginCost >= 0.25 && row.ExpectedMarginBase >= 0.15:
-		return "YILDIZ_URUN", "Piyasa/müşteri açık siparişleri karlı. Teslimat ve stok korunmalı."
+		return "YILDIZ_URUN", "Piyasa/musteri acik siparisleri karli. Teslimat ve stok korunmali."
 	case row.OverdueQty > 0:
-		return "TAKIP", "Geciken açık sipariş var. Operasyon takibi gerekli."
+		return "TAKIP", "Geciken acik siparis var. Operasyon takibi gerekli."
 	default:
-		return "TAKIP", "Sipariş karlılığı ve stok yeterliliği izlenmeli."
+		return "TAKIP", "Siparis karliligi ve stok yeterliligi izlenmeli."
 	}
 }
 
 func productPerformanceOrderProductCustomerRecommendation(row models.ProductPerformanceOrderProductCustomerRow) (string, string) {
 	switch {
 	case row.ExpectedProfitCostUSD < 0:
-		return "FIYAT_BASKISI", "Bu müşteri/ürün açık siparişi çıplak maliyete göre zarar yazıyor."
+		return "FIYAT_BASKISI", "Bu musteri/urun acik siparisi ciplak maliyete gore zarar yaziyor."
 	case row.ExpectedProfitBaseUSD < 0:
-		return "FIYAT_BASKISI", "Bu müşteri/ürün açık siparişi taban maliyete göre brüt zarar yazıyor."
+		return "FIYAT_BASKISI", "Bu musteri/urun acik siparisi taban maliyete gore brut zarar yaziyor."
 	case row.NetStockAfterOrder < 0 && row.ExpectedProfitCostUSD >= 0:
-		return "STOKSUZ_TALEP", "Müşteride karlı talep var ama stok yetersiz."
+		return "STOKSUZ_TALEP", "Musteride karli talep var ama stok yetersiz."
 	case row.ExpectedMarginCost >= 0.25 && row.ExpectedMarginBase >= 0.15:
-		return "YILDIZ_URUN", "Müşteri bazında karlı açık talep var."
+		return "YILDIZ_URUN", "Musteri bazinda karli acik talep var."
 	case row.OverdueQty > 0:
-		return "TAKIP", "Bu müşteri/ürün kırılımında geciken açık sipariş var."
+		return "TAKIP", "Bu musteri/urun kiriliminda geciken acik siparis var."
 	default:
-		return "TAKIP", "Müşteri talebi, fiyat ve stok birlikte izlenmeli."
+		return "TAKIP", "Musteri talebi, fiyat ve stok birlikte izlenmeli."
 	}
 }
 
 func productPerformanceOrderMarketDetailRecommendation(row models.ProductPerformanceOrderMarketDetailRow) (string, string) {
 	switch {
 	case row.ExpectedProfitCostUSD < 0:
-		return "FIYAT_BASKISI", "Sipariş satırı çıplak maliyete göre zarar yazıyor."
+		return "FIYAT_BASKISI", "Siparis satiri ciplak maliyete gore zarar yaziyor."
 	case row.ExpectedProfitBaseUSD < 0:
-		return "FIYAT_BASKISI", "Sipariş satırı taban maliyete göre brüt zarar yazıyor."
+		return "FIYAT_BASKISI", "Siparis satiri taban maliyete gore brut zarar yaziyor."
 	case row.NetStockAfterOrder < 0 && row.ExpectedProfitCostUSD >= 0:
-		return "STOKSUZ_TALEP", "Karlı sipariş var ama mevcut stok siparişi karşılamıyor."
+		return "STOKSUZ_TALEP", "Karli siparis var ama mevcut stok siparisi karsilamiyor."
 	case row.IsOverdue:
-		return "TAKIP", "Termin geçmiş; teslimat aksiyonu gerekli."
+		return "TAKIP", "Termin gecmis; teslimat aksiyonu gerekli."
 	case row.ExpectedMarginCost >= 0.25:
-		return "YILDIZ_URUN", "Sipariş karlı; teslimat ve stok korunmalı."
+		return "YILDIZ_URUN", "Siparis karli; teslimat ve stok korunmali."
 	default:
-		return "TAKIP", "Sipariş fiyatı, stok ve termin izlenmeli."
+		return "TAKIP", "Siparis fiyati, stok ve termin izlenmeli."
 	}
 }
 

svc/queries/product_performance_sql.go

@@ -76,16 +76,19 @@ func productPerformanceSalesSQL() string {
             ), SPACE(0)))
         END,
         Qty1 = ISNULL(I.Qty1, 0),
-        TLAmount = ISNULL(I.Doc_Amount, 0) * ISNULL(I.Loc_ExchangeRate, 0),
-        USDAmount = (ISNULL(I.Doc_Amount, 0) * ISNULL(I.Loc_ExchangeRate, 0)) / ISNULL((
-            SELECT TOP 1 Rate
-            FROM AllExchangeRates WITH(NOLOCK)
-            WHERE CurrencyCode = 'USD'
-              AND RelationCurrencyCode = 'TRY'
-              AND ExchangeTypeCode = 6
-              AND Rate > 1
-            ORDER BY ABS(DATEDIFF(DAY, AllExchangeRates.Date, I.InvoiceDate)) ASC
-        ), 1),
+        TLAmount = CASE
+            WHEN Amount.DocCurrencyCode = 'TRY' THEN Amount.DocNetAmount
+            WHEN CurRate.Rate > 0 THEN Amount.DocNetAmount * CurRate.Rate
+            WHEN ISNULL(I.Loc_ExchangeRate, 0) > 0 THEN Amount.DocNetAmount * I.Loc_ExchangeRate
+            ELSE 0
+        END,
+        USDAmount = CASE
+            WHEN Amount.DocCurrencyCode = 'USD' THEN Amount.DocNetAmount
+            WHEN Amount.DocCurrencyCode = 'TRY' AND UsdRate.Rate > 0 THEN Amount.DocNetAmount / UsdRate.Rate
+            WHEN CurRate.Rate > 0 AND UsdRate.Rate > 0 THEN (Amount.DocNetAmount * CurRate.Rate) / UsdRate.Rate
+            WHEN ISNULL(I.Loc_ExchangeRate, 0) > 0 AND UsdRate.Rate > 0 THEN (Amount.DocNetAmount * I.Loc_ExchangeRate) / UsdRate.Rate
+            ELSE 0
+        END,
         RN = ROW_NUMBER() OVER (
             PARTITION BY I.InvoiceLineID
             ORDER BY I.InvoiceDate DESC, I.InvoiceNumber
@@ -96,6 +99,39 @@ func productPerformanceSalesSQL() string {
        AND CAF.CurrAccCode = I.CurrAccCode
     LEFT OUTER JOIN ProductAttributesFilter PAF WITH(NOLOCK)
         ON PAF.ItemCode = I.ItemCode
+    LEFT OUTER JOIN dbo.trInvoiceLineCurrency ILC WITH(NOLOCK)
+        ON ILC.InvoiceLineID = I.InvoiceLineID
+       AND UPPER(LTRIM(RTRIM(ILC.CurrencyCode))) = UPPER(LTRIM(RTRIM(ISNULL(NULLIF(LTRIM(RTRIM(I.Doc_CurrencyCode)), ''), 'TRY'))))
+    OUTER APPLY (
+        SELECT
+            DocCurrencyCode = UPPER(LTRIM(RTRIM(ISNULL(NULLIF(LTRIM(RTRIM(I.Doc_CurrencyCode)), ''), ISNULL(NULLIF(LTRIM(RTRIM(ILC.CurrencyCode)), ''), 'TRY'))))),
+            DocNetAmount = COALESCE(
+                NULLIF(ISNULL(ILC.NetAmount, 0), 0),
+                NULLIF(ISNULL(I.Doc_Amount, 0), 0),
+                NULLIF(ISNULL(I.Doc_Price, 0) * ISNULL(I.Qty1, 0), 0),
+                0
+            )
+    ) Amount
+    OUTER APPLY (
+        SELECT TOP 1 Rate
+        FROM AllExchangeRates WITH(NOLOCK)
+        WHERE CurrencyCode = 'USD'
+          AND RelationCurrencyCode = 'TRY'
+          AND ExchangeTypeCode = 6
+          AND Rate > 0
+          AND Date <= CAST(I.InvoiceDate AS date)
+        ORDER BY Date DESC
+    ) UsdRate
+    OUTER APPLY (
+        SELECT TOP 1 Rate
+        FROM AllExchangeRates WITH(NOLOCK)
+        WHERE CurrencyCode = Amount.DocCurrencyCode
+          AND RelationCurrencyCode = 'TRY'
+          AND ExchangeTypeCode = 6
+          AND Rate > 0
+          AND Date <= CAST(I.InvoiceDate AS date)
+        ORDER BY Date DESC
+    ) CurRate
     WHERE I.InvoiceDate >= @p1
       AND I.InvoiceDate < DATEADD(DAY, 1, @p2)
       AND I.ItemTypeCode = 1
@@ -449,13 +485,20 @@ SalesAgg AS (
         SUM(sales_usd) FILTER (WHERE sales_date >= $1::date - INTERVAL '179 days') AS sales_usd_180d,
         SUM(sales_usd) FILTER (WHERE sales_date >= $1::date - INTERVAL '359 days') AS sales_usd_365d,
         SUM(sales_usd) FILTER (WHERE sales_date >= DATE '2022-01-01') AS sales_usd_total,
-        COUNT(DISTINCT NULLIF(customer_code, '-')) FILTER (WHERE sales_date >= $1::date - INTERVAL '89 days') AS customer_count_90d,
+        COUNT(DISTINCT NULLIF(customer_code, '-')) FILTER (WHERE sales_date >= $1::date - INTERVAL '89 days' AND COALESCE(sales_usd, 0) > 0) AS customer_count_90d,
+        COUNT(DISTINCT NULLIF(customer_code, '-')) FILTER (WHERE sales_date >= $1::date - INTERVAL '179 days' AND COALESCE(sales_usd, 0) > 0) AS customer_count_180d,
+        COUNT(DISTINCT NULLIF(customer_code, '-')) FILTER (WHERE sales_date >= $1::date - INTERVAL '359 days' AND COALESCE(sales_usd, 0) > 0) AS customer_count_365d,
+        COUNT(DISTINCT NULLIF(customer_code, '-')) FILTER (WHERE sales_date >= DATE '2022-01-01' AND COALESCE(sales_usd, 0) > 0) AS customer_count_total,
+        MIN(sales_date) FILTER (WHERE sales_date >= $1::date - INTERVAL '89 days') AS first_sale_date_90d,
+        MIN(sales_date) FILTER (WHERE sales_date >= $1::date - INTERVAL '179 days') AS first_sale_date_180d,
+        MIN(sales_date) FILTER (WHERE sales_date >= $1::date - INTERVAL '359 days') AS first_sale_date_365d,
+        MIN(sales_date) FILTER (WHERE sales_date >= DATE '2022-01-01') AS first_sale_date_total,
         MAX(sales_date) AS last_sale_date,
         MAX(last_ref_number) AS last_ref_number
     FROM mk_product_performance_sales_daily
     WHERE sales_date >= DATE '2022-01-01'
       AND sales_date <= $1::date
-      AND upper(btrim(COALESCE(urun_ilk_grubu,''))) NOT IN ('MALZEMELI FASON', 'MALZEMESIZ FASON', 'DIGER')
+      AND upper(translate(btrim(COALESCE(urun_ilk_grubu,'')), U&'\0130\015E\011E\00DC\00D6\00C7\0131\015F\011F\00FC\00F6\00E7', 'ISGUOCisguoc')) NOT IN ('MALZEMELI FASON', 'MALZEMESIZ FASON', 'MAZLEMELI FASON', 'MAZEMESIZ FASON', 'DIGER')
     GROUP BY product_code, color_code, yaka_kodu, market_key
 ),
 Scope AS (
@@ -464,7 +507,9 @@ Scope AS (
         item_description, kategori, seri, yas_grubu, askili_yan, urun_ilk_grubu, urun_ana_grubu, urun_alt_grubu,
         sales_qty_30d, sales_qty_90d, sales_qty_180d, sales_qty_365d, sales_qty_730d, sales_qty_total,
         sales_usd_30d, sales_usd_90d, sales_usd_180d, sales_usd_365d, sales_usd_total,
-        customer_count_90d, last_sale_date, last_ref_number
+        customer_count_90d, customer_count_180d, customer_count_365d, customer_count_total,
+        first_sale_date_90d, first_sale_date_180d, first_sale_date_365d, first_sale_date_total,
+        last_sale_date, last_ref_number
     FROM SalesAgg
     UNION ALL
     SELECT
@@ -492,12 +537,19 @@ Scope AS (
         0 AS sales_usd_365d,
         0 AS sales_usd_total,
         0 AS customer_count_90d,
+        0 AS customer_count_180d,
+        0 AS customer_count_365d,
+        0 AS customer_count_total,
+        NULL::date AS first_sale_date_90d,
+        NULL::date AS first_sale_date_180d,
+        NULL::date AS first_sale_date_365d,
+        NULL::date AS first_sale_date_total,
         NULL::date AS last_sale_date,
         '' AS last_ref_number
     FROM LatestStock ls
     LEFT JOIN mk_product_performance_price_dim pd ON pd.product_code=ls.product_code
     WHERE COALESCE(ls.stock_qty, 0) <> 0
-      AND upper(btrim(COALESCE(pd.urun_ilk_grubu,''))) NOT IN ('MALZEMELI FASON', 'MALZEMESIZ FASON', 'DIGER')
+      AND upper(translate(btrim(COALESCE(pd.urun_ilk_grubu,'')), U&'\0130\015E\011E\00DC\00D6\00C7\0131\015F\011F\00FC\00F6\00E7', 'ISGUOCisguoc')) NOT IN ('MALZEMELI FASON', 'MALZEMESIZ FASON', 'MAZLEMELI FASON', 'MAZEMESIZ FASON', 'DIGER')
       AND NOT EXISTS (
           SELECT 1
           FROM SalesAgg sa
@@ -513,11 +565,11 @@ PriceDim AS (
         COALESCE(urun_ana_grubu, '') AS urun_ana_grubu,
         COALESCE(urun_alt_grubu, '') AS urun_alt_grubu,
         CASE
-            WHEN cost_price_usd > 0 AND base_price_usd > 0 AND cost_price_usd < base_price_usd THEN base_price_usd
+            WHEN cost_price_usd > 0 AND base_price_usd > 0 AND cost_price_usd > base_price_usd THEN base_price_usd
             ELSE cost_price_usd
         END AS cost_price_usd,
         CASE
-            WHEN cost_price_usd > 0 AND base_price_usd > 0 AND cost_price_usd < base_price_usd THEN cost_price_usd
+            WHEN cost_price_usd > 0 AND base_price_usd > 0 AND cost_price_usd > base_price_usd THEN cost_price_usd
             ELSE base_price_usd
         END AS base_price_usd,
         base_price_try
@@ -534,10 +586,10 @@ Base AS (
         COALESCE(s.sales_qty_180d, 0) / 180.0 AS avg_daily_sales_180d,
         COALESCE(s.sales_qty_365d, 0) / 360.0 AS avg_daily_sales_365d,
         COALESCE(s.sales_qty_total, 0) / GREATEST(1, ($1::date - DATE '2022-01-01') + 1) AS avg_daily_sales_total,
-        (COALESCE(s90.stock_qty, 0) + COALESCE(ls.stock_qty, 0)) / 2.0 AS avg_stock_90d,
-        (COALESCE(s180.stock_qty, 0) + COALESCE(ls.stock_qty, 0)) / 2.0 AS avg_stock_180d,
-        (COALESCE(s365.stock_qty, 0) + COALESCE(ls.stock_qty, 0)) / 2.0 AS avg_stock_365d,
-        (COALESCE(stotal.stock_qty, 0) + COALESCE(ls.stock_qty, 0)) / 2.0 AS avg_stock_total,
+        (COALESCE(s90.stock_qty, ls.stock_qty, 0) + COALESCE(ls.stock_qty, 0)) / 2.0 AS avg_stock_90d,
+        (COALESCE(s180.stock_qty, ls.stock_qty, 0) + COALESCE(ls.stock_qty, 0)) / 2.0 AS avg_stock_180d,
+        (COALESCE(s365.stock_qty, ls.stock_qty, 0) + COALESCE(ls.stock_qty, 0)) / 2.0 AS avg_stock_365d,
+        (COALESCE(stotal.stock_qty, ls.stock_qty, 0) + COALESCE(ls.stock_qty, 0)) / 2.0 AS avg_stock_total,
         CASE WHEN COALESCE(s.sales_qty_90d, 0) = 0 THEN 0 ELSE COALESCE(s.sales_usd_90d, 0) / NULLIF(s.sales_qty_90d, 0) END AS avg_price_usd_90d,
         CASE WHEN COALESCE(s.sales_qty_180d, 0) = 0 THEN 0 ELSE COALESCE(s.sales_usd_180d, 0) / NULLIF(s.sales_qty_180d, 0) END AS avg_price_usd_180d,
         COALESCE(s.sales_usd_90d, 0) - (COALESCE(s.sales_qty_90d, 0) * COALESCE(pd.cost_price_usd, 0)) AS gross_profit_usd_90d,
@@ -554,27 +606,68 @@ Base AS (
         CASE WHEN COALESCE(s.sales_qty_180d, 0) = 0 THEN 0 ELSE (COALESCE(s.sales_usd_180d, 0) / NULLIF(s.sales_qty_180d, 0)) - COALESCE(pd.base_price_usd, 0) END AS unit_profit_base_180d
     FROM Scope s
     LEFT JOIN LatestStock ls ON ls.product_code=s.product_code AND ls.color_code=s.color_code AND ls.yaka_kodu=s.yaka_kodu
-    LEFT JOIN Stock90Start s90 ON s90.product_code=s.product_code AND s90.color_code=s.color_code AND s90.yaka_kodu=s.yaka_kodu
-    LEFT JOIN Stock180Start s180 ON s180.product_code=s.product_code AND s180.color_code=s.color_code AND s180.yaka_kodu=s.yaka_kodu
-    LEFT JOIN Stock365Start s365 ON s365.product_code=s.product_code AND s365.color_code=s.color_code AND s365.yaka_kodu=s.yaka_kodu
-    LEFT JOIN StockTotalStart stotal ON stotal.product_code=s.product_code AND stotal.color_code=s.color_code AND stotal.yaka_kodu=s.yaka_kodu
     LEFT JOIN PriceDim pd ON pd.product_code=s.product_code
-    WHERE upper(btrim(COALESCE(NULLIF(s.urun_ilk_grubu,''), pd.urun_ilk_grubu, ''))) NOT IN ('MALZEMELI FASON', 'MALZEMESIZ FASON', 'DIGER')
+    LEFT JOIN LATERAL (
+        SELECT x.stock_qty
+        FROM mk_product_performance_stock_daily x
+        WHERE x.product_code=s.product_code
+          AND x.color_code=s.color_code
+          AND x.yaka_kodu=s.yaka_kodu
+          AND x.stock_date <= COALESCE(s.first_sale_date_90d, $1::date - INTERVAL '89 days')
+        ORDER BY x.stock_date DESC
+        LIMIT 1
+    ) s90 ON TRUE
+    LEFT JOIN LATERAL (
+        SELECT x.stock_qty
+        FROM mk_product_performance_stock_daily x
+        WHERE x.product_code=s.product_code
+          AND x.color_code=s.color_code
+          AND x.yaka_kodu=s.yaka_kodu
+          AND x.stock_date <= COALESCE(s.first_sale_date_180d, $1::date - INTERVAL '179 days')
+        ORDER BY x.stock_date DESC
+        LIMIT 1
+    ) s180 ON TRUE
+    LEFT JOIN LATERAL (
+        SELECT x.stock_qty
+        FROM mk_product_performance_stock_daily x
+        WHERE x.product_code=s.product_code
+          AND x.color_code=s.color_code
+          AND x.yaka_kodu=s.yaka_kodu
+          AND x.stock_date <= COALESCE(s.first_sale_date_365d, $1::date - INTERVAL '359 days')
+        ORDER BY x.stock_date DESC
+        LIMIT 1
+    ) s365 ON TRUE
+    LEFT JOIN LATERAL (
+        SELECT x.stock_qty
+        FROM mk_product_performance_stock_daily x
+        WHERE x.product_code=s.product_code
+          AND x.color_code=s.color_code
+          AND x.yaka_kodu=s.yaka_kodu
+          AND x.stock_date <= COALESCE(s.first_sale_date_total, DATE '2022-01-01')
+        ORDER BY x.stock_date DESC
+        LIMIT 1
+    ) stotal ON TRUE
+    WHERE upper(translate(btrim(COALESCE(NULLIF(s.urun_ilk_grubu,''), pd.urun_ilk_grubu, '')), U&'\0130\015E\011E\00DC\00D6\00C7\0131\015F\011F\00FC\00F6\00E7', 'ISGUOCisguoc')) NOT IN ('MALZEMELI FASON', 'MALZEMESIZ FASON', 'MAZLEMELI FASON', 'MAZEMESIZ FASON', 'DIGER')
 ),
 Spread AS (
     SELECT
         product_code,
         color_code,
         yaka_kodu,
-        COUNT(DISTINCT market_key) AS market_count_90d
+        COUNT(DISTINCT NULLIF(NULLIF(market_key, 'STOK'), '')) FILTER (WHERE COALESCE(sales_usd_90d, 0) > 0) AS market_count_90d,
+        COUNT(DISTINCT NULLIF(NULLIF(market_key, 'STOK'), '')) FILTER (WHERE COALESCE(sales_usd_180d, 0) > 0) AS market_count_180d,
+        COUNT(DISTINCT NULLIF(NULLIF(market_key, 'STOK'), '')) FILTER (WHERE COALESCE(sales_usd_365d, 0) > 0) AS market_count_365d,
+        COUNT(DISTINCT NULLIF(NULLIF(market_key, 'STOK'), '')) FILTER (WHERE COALESCE(sales_usd_total, 0) > 0) AS market_count_total
     FROM SalesAgg
-    WHERE COALESCE(sales_qty_90d, 0) > 0
     GROUP BY product_code, color_code, yaka_kodu
 ),
 Market AS (
     SELECT
         market_key,
         AVG(NULLIF(sales_qty_90d, 0)) AS market_avg_sales_qty_90d,
+        AVG(NULLIF(sales_qty_180d, 0)) AS market_avg_sales_qty_180d,
+        AVG(NULLIF(sales_qty_365d, 0)) AS market_avg_sales_qty_365d,
+        AVG(NULLIF(sales_qty_total, 0)) AS market_avg_sales_qty_total,
         AVG(NULLIF(avg_price_usd_90d, 0)) AS market_avg_price_usd_90d,
         AVG(NULLIF(gross_margin_90d, 0)) AS market_avg_margin_90d
     FROM Base
@@ -584,15 +677,21 @@ Scored AS (
     SELECT
         b.*,
         COALESCE(sp.market_count_90d, 0) AS market_count_90d,
+        COALESCE(sp.market_count_180d, 0) AS market_count_180d,
+        COALESCE(sp.market_count_365d, 0) AS market_count_365d,
+        COALESCE(sp.market_count_total, 0) AS market_count_total,
         CASE WHEN b.avg_daily_sales_90d = 0 THEN 0 ELSE b.avg_stock_90d / NULLIF(b.avg_daily_sales_90d, 0) END AS stock_days_90d,
         CASE WHEN b.avg_daily_sales_180d = 0 THEN 0 ELSE b.avg_stock_180d / NULLIF(b.avg_daily_sales_180d, 0) END AS stock_days_180d,
         CASE WHEN b.avg_daily_sales_365d = 0 THEN 0 ELSE b.avg_stock_365d / NULLIF(b.avg_daily_sales_365d, 0) END AS stock_days_365d,
         CASE WHEN b.avg_daily_sales_total = 0 THEN 0 ELSE b.avg_stock_total / NULLIF(b.avg_daily_sales_total, 0) END AS stock_days_total,
-        CASE WHEN b.avg_stock_90d = 0 THEN 0 ELSE b.sales_qty_90d / NULLIF(b.avg_stock_90d, 0) END AS stock_turnover_90d,
-        CASE WHEN b.avg_stock_180d = 0 THEN 0 ELSE b.sales_qty_180d / NULLIF(b.avg_stock_180d, 0) END AS stock_turnover_180d,
+        CASE WHEN b.avg_stock_90d = 0 THEN 0 ELSE b.sales_qty_90d / NULLIF(b.avg_stock_90d, 0) * 4.0 END AS stock_turnover_90d,
+        CASE WHEN b.avg_stock_180d = 0 THEN 0 ELSE b.sales_qty_180d / NULLIF(b.avg_stock_180d, 0) * 2.0 END AS stock_turnover_180d,
         CASE WHEN b.avg_stock_365d = 0 THEN 0 ELSE b.sales_qty_365d / NULLIF(b.avg_stock_365d, 0) END AS stock_turnover_365d,
-        CASE WHEN b.avg_stock_total = 0 THEN 0 ELSE b.sales_qty_total / NULLIF(b.avg_stock_total, 0) END AS stock_turnover_total,
+        CASE WHEN b.avg_stock_total = 0 THEN 0 ELSE b.sales_qty_total / NULLIF(b.avg_stock_total, 0) * 360.0 / GREATEST(1, ($1::date - DATE '2022-01-01') + 1) END AS stock_turnover_total,
         CASE WHEN COALESCE(m.market_avg_sales_qty_90d, 0) = 0 THEN 0 ELSE b.sales_qty_90d / NULLIF(m.market_avg_sales_qty_90d, 0) END AS sales_index_90d,
+        CASE WHEN COALESCE(m.market_avg_sales_qty_180d, 0) = 0 THEN 0 ELSE b.sales_qty_180d / NULLIF(m.market_avg_sales_qty_180d, 0) END AS sales_index_180d,
+        CASE WHEN COALESCE(m.market_avg_sales_qty_365d, 0) = 0 THEN 0 ELSE b.sales_qty_365d / NULLIF(m.market_avg_sales_qty_365d, 0) END AS sales_index_365d,
+        CASE WHEN COALESCE(m.market_avg_sales_qty_total, 0) = 0 THEN 0 ELSE b.sales_qty_total / NULLIF(m.market_avg_sales_qty_total, 0) END AS sales_index_total,
         CASE WHEN COALESCE(m.market_avg_price_usd_90d, 0) = 0 THEN 0 ELSE b.avg_price_usd_90d / NULLIF(m.market_avg_price_usd_90d, 0) END AS price_index_90d,
         CASE WHEN COALESCE(m.market_avg_margin_90d, 0) = 0 THEN 0 ELSE b.gross_margin_90d / NULLIF(m.market_avg_margin_90d, 0) END AS margin_index_90d
     FROM Base b
@@ -604,11 +703,14 @@ INSERT INTO mk_product_performance_kpi_daily (
     kategori, seri, yas_grubu, askili_yan, urun_ilk_grubu, urun_ana_grubu, urun_alt_grubu, market_key, stock_qty,
     sales_qty_30d, sales_qty_90d, sales_qty_180d, sales_qty_365d, sales_qty_730d, sales_qty_total,
     sales_usd_30d, sales_usd_90d, sales_usd_180d, sales_usd_365d, sales_usd_total, avg_daily_sales_90d, avg_daily_sales_180d, avg_daily_sales_365d, avg_daily_sales_total,
+    avg_stock_90d, avg_stock_180d, avg_stock_365d, avg_stock_total,
     stock_days_90d, stock_days_180d, stock_days_365d, stock_days_total, stock_turnover_90d, stock_turnover_180d, stock_turnover_365d, stock_turnover_total,
     avg_price_usd_90d, avg_price_usd_180d, cost_price_usd, base_price_usd, base_price_try,
     gross_profit_usd_90d, gross_profit_usd_180d, gross_margin_90d, gross_margin_180d,
-    unit_profit_cost_90d, unit_profit_cost_180d, unit_profit_base_90d, unit_profit_base_180d, market_count_90d, customer_count_90d,
-    sales_index_90d, price_index_90d, margin_index_90d, performance_score,
+    unit_profit_cost_90d, unit_profit_cost_180d, unit_profit_base_90d, unit_profit_base_180d,
+    market_count_90d, market_count_180d, market_count_365d, market_count_total,
+    customer_count_90d, customer_count_180d, customer_count_365d, customer_count_total,
+    sales_index_90d, sales_index_180d, sales_index_365d, sales_index_total, price_index_90d, margin_index_90d, performance_score,
     performance_bucket, recommendation, last_sale_date, last_ref_number, updated_at
 )
 SELECT
@@ -617,20 +719,25 @@ SELECT
     kategori, seri, yas_grubu, askili_yan, urun_ilk_grubu, urun_ana_grubu, urun_alt_grubu, market_key, stock_qty,
     COALESCE(sales_qty_30d, 0), COALESCE(sales_qty_90d, 0), COALESCE(sales_qty_180d, 0), COALESCE(sales_qty_365d, 0), COALESCE(sales_qty_730d, 0), COALESCE(sales_qty_total, 0),
     COALESCE(sales_usd_30d, 0), COALESCE(sales_usd_90d, 0), COALESCE(sales_usd_180d, 0), COALESCE(sales_usd_365d, 0), COALESCE(sales_usd_total, 0), COALESCE(avg_daily_sales_90d, 0), COALESCE(avg_daily_sales_180d, 0), COALESCE(avg_daily_sales_365d, 0), COALESCE(avg_daily_sales_total, 0),
+    COALESCE(avg_stock_90d, 0), COALESCE(avg_stock_180d, 0), COALESCE(avg_stock_365d, 0), COALESCE(avg_stock_total, 0),
     COALESCE(stock_days_90d, 0), COALESCE(stock_days_180d, 0), COALESCE(stock_days_365d, 0), COALESCE(stock_days_total, 0), COALESCE(stock_turnover_90d, 0), COALESCE(stock_turnover_180d, 0), COALESCE(stock_turnover_365d, 0), COALESCE(stock_turnover_total, 0),
     COALESCE(avg_price_usd_90d, 0), COALESCE(avg_price_usd_180d, 0), COALESCE(cost_price_usd, 0), COALESCE(base_price_usd, 0), COALESCE(base_price_try, 0),
     COALESCE(gross_profit_usd_90d, 0), COALESCE(gross_profit_usd_180d, 0), COALESCE(gross_margin_90d, 0), COALESCE(gross_margin_180d, 0),
-    COALESCE(unit_profit_cost_90d, 0), COALESCE(unit_profit_cost_180d, 0), COALESCE(unit_profit_base_90d, 0), COALESCE(unit_profit_base_180d, 0), COALESCE(market_count_90d, 0), COALESCE(customer_count_90d, 0),
-    COALESCE(sales_index_90d, 0), COALESCE(price_index_90d, 0), COALESCE(margin_index_90d, 0),
+    COALESCE(unit_profit_cost_90d, 0), COALESCE(unit_profit_cost_180d, 0), COALESCE(unit_profit_base_90d, 0), COALESCE(unit_profit_base_180d, 0),
+    COALESCE(market_count_90d, 0), COALESCE(market_count_180d, 0), COALESCE(market_count_365d, 0), COALESCE(market_count_total, 0),
+    COALESCE(customer_count_90d, 0), COALESCE(customer_count_180d, 0), COALESCE(customer_count_365d, 0), COALESCE(customer_count_total, 0),
+    COALESCE(sales_index_90d, 0), COALESCE(sales_index_180d, 0), COALESCE(sales_index_365d, 0), COALESCE(sales_index_total, 0), COALESCE(price_index_90d, 0), COALESCE(margin_index_90d, 0),
+    CASE WHEN COALESCE(sales_usd_90d, 0) <= 0 THEN 1 ELSE
       ROUND(
-        LEAST(35, COALESCE(sales_index_90d, 0) * 18)
-      + LEAST(25, GREATEST(COALESCE(gross_margin_90d, 0), 0) * 50)
-      + LEAST(20, COALESCE(customer_count_90d, 0) * 2)
-      + LEAST(10, COALESCE(market_count_90d, 0) * 3)
-      + CASE WHEN COALESCE(stock_days_90d, 0) BETWEEN 10 AND 90 THEN 10 WHEN COALESCE(stock_days_90d, 0) > 180 THEN -10 ELSE 0 END
-    , 4) AS performance_score,
+          LEAST(30, GREATEST(COALESCE(gross_margin_90d, 0), 0) / 0.45 * 30)
+        + LEAST(20, COALESCE(stock_turnover_90d, 0) / 4.0 * 20)
+        + LEAST(20, COALESCE(sales_usd_90d, 0) / 25000.0 * 20)
+        + LEAST(5, COALESCE(market_count_90d, 0) / 3.0 * 5)
+        + LEAST(25, COALESCE(customer_count_90d, 0) / 8.0 * 25)
+      , 4)
+    END AS performance_score,
     CASE
-      WHEN COALESCE(sales_index_90d,0) >= 1.25 AND COALESCE(gross_margin_90d,0) >= 0.25 THEN 'YILDIZ_URUN'
+      WHEN COALESCE(sales_index_90d,0) >= 1.25 AND COALESCE(gross_margin_90d,0) >= 0.45 THEN 'YILDIZ_URUN'
       WHEN COALESCE(stock_qty,0) <= 0 AND COALESCE(sales_qty_90d,0) > 0 THEN 'STOKSUZ_TALEP'
       WHEN COALESCE(stock_days_90d,0) > 180 AND COALESCE(sales_index_90d,0) < 0.75 THEN 'STOK_RISKI'
       WHEN COALESCE(price_index_90d,0) > 1.10 AND COALESCE(sales_index_90d,0) < 0.80 THEN 'FIYAT_BASKISI'
@@ -638,12 +745,12 @@ SELECT
       ELSE 'TAKIP'
     END AS performance_bucket,
     CASE
-      WHEN COALESCE(sales_index_90d,0) >= 1.25 AND COALESCE(gross_margin_90d,0) >= 0.25 THEN 'Piyasa üstü satış ve iyi marj: stok ve fiyat gücü takip edilmeli.'
-      WHEN COALESCE(stock_qty,0) <= 0 AND COALESCE(sales_qty_90d,0) > 0 THEN 'Talep var, stok yok: üretim/satın alma planına alınmalı.'
-      WHEN COALESCE(stock_days_90d,0) > 180 AND COALESCE(sales_index_90d,0) < 0.75 THEN 'Stok yüksek, satış piyasa altı: kampanya veya fiyat kontrolü gerekli.'
-      WHEN COALESCE(price_index_90d,0) > 1.10 AND COALESCE(sales_index_90d,0) < 0.80 THEN 'Fiyat piyasa üstünde ve satış zayıf: fiyat revizyonu değerlendirilmeli.'
-      WHEN COALESCE(price_index_90d,0) < 0.90 AND COALESCE(sales_index_90d,0) > 1.00 THEN 'Satış güçlü, fiyat piyasa altı: taban fiyat artışı değerlendirilebilir.'
-      ELSE 'Düzenli takip.'
+      WHEN COALESCE(sales_index_90d,0) >= 1.25 AND COALESCE(gross_margin_90d,0) >= 0.45 THEN 'Piyasa ustu satis ve iyi marj: stok ve fiyat gucu takip edilmeli.'
+      WHEN COALESCE(stock_qty,0) <= 0 AND COALESCE(sales_qty_90d,0) > 0 THEN 'Talep var, stok yok: uretim/satin alma planina alinmali.'
+      WHEN COALESCE(stock_days_90d,0) > 180 AND COALESCE(sales_index_90d,0) < 0.75 THEN 'Stok yuksek, satis piyasa alti: kampanya veya fiyat kontrolu gerekli.'
+      WHEN COALESCE(price_index_90d,0) > 1.10 AND COALESCE(sales_index_90d,0) < 0.80 THEN 'Fiyat piyasa ustunde ve satis zayif: fiyat revizyonu degerlendirilmeli.'
+      WHEN COALESCE(price_index_90d,0) < 0.90 AND COALESCE(sales_index_90d,0) > 1.00 THEN 'Satis guclu, fiyat piyasa alti: taban fiyat artisi degerlendirilebilir.'
+      ELSE 'Duzenli takip.'
     END AS recommendation,
     last_sale_date,
     COALESCE(last_ref_number, ''),

svc/queries/production_product_costing.go

@@ -793,6 +793,82 @@ ORDER BY SonIsEmri.dteIslemTarihi DESC, LTRIM(RTRIM(R.sMModelKodu)) ASC
 	return uretimDB.QueryContext(ctx, sqlText, fromDate, search)
 }
 
+type ArgeBaggiDepotEntryTotals struct {
+	Ceket    float64
+	Pantolon float64
+	Yelek    float64
+}
+
+// GetArgeBaggiDepotEntryTotals returns operation 985/986/987 quantities keyed
+// by production work order. The requested work orders are queried in one batch
+// to avoid an ArgeBAGGI round trip for every list row.
+func GetArgeBaggiDepotEntryTotals(ctx context.Context, argeDB *sql.DB, workOrders []string) (map[string]ArgeBaggiDepotEntryTotals, error) {
+	out := make(map[string]ArgeBaggiDepotEntryTotals)
+	if argeDB == nil || len(workOrders) == 0 {
+		return out, nil
+	}
+
+	seen := make(map[string]struct{}, len(workOrders))
+	values := make([]string, 0, len(workOrders))
+	for _, raw := range workOrders {
+		value := strings.TrimSpace(raw)
+		if value == "" || value == "0" {
+			continue
+		}
+		if _, exists := seen[value]; exists {
+			continue
+		}
+		seen[value] = struct{}{}
+		values = append(values, value)
+	}
+	if len(values) == 0 {
+		return out, nil
+	}
+
+	placeholders := make([]string, 0, len(values))
+	args := make([]any, 0, len(values))
+	for i, value := range values {
+		placeholders = append(placeholders, fmt.Sprintf("@p%d", i+1))
+		args = append(args, value)
+	}
+
+	sqlText := fmt.Sprintf(`
+SELECT
+  LTRIM(RTRIM(CONVERT(VARCHAR(64), MN.model_adi))) AS IsEmriNo,
+  SUM(CASE WHEN O.oper_num = 985 THEN CONVERT(float, B.adet) ELSE 0 END) AS CeketDepoGiris,
+  SUM(CASE WHEN O.oper_num = 986 THEN CONVERT(float, B.adet) ELSE 0 END) AS PantolonDepoGiris,
+  SUM(CASE WHEN O.oper_num = 987 THEN CONVERT(float, B.adet) ELSE 0 END) AS YelekDepoGiris
+FROM dbo.is_acma_bar B
+INNER JOIN dbo.is_acma I ON I.is_num = B.is_num
+INNER JOIN dbo.model_def MD ON I.imdef_num = MD.mdef_num
+INNER JOIN dbo.oper_urun_no O ON B.oper_num = O.oper_num
+INNER JOIN dbo.model_num MN ON I.model_num = MN.model_num
+INNER JOIN dbo.bant_no BN ON I.bant_num = BN.bant_no
+INNER JOIN dbo.model_oper MO ON O.oper_num = MO.oper_num AND MD.mdef_num = MO.model_num
+INNER JOIN dbo.model_oper_tkp_def TD ON MO.tkp_cik = TD.tkp_cik
+WHERE B.tarih >= '2025-01-01'
+  AND TD.tkp_cik IN (1,2,3,4,5)
+  AND O.oper_num IN (985,986,987)
+  AND LTRIM(RTRIM(CONVERT(VARCHAR(64), MN.model_adi))) IN (%s)
+GROUP BY LTRIM(RTRIM(CONVERT(VARCHAR(64), MN.model_adi)))
+`, strings.Join(placeholders, ","))
+
+	rows, err := argeDB.QueryContext(ctx, sqlText, args...)
+	if err != nil {
+		return nil, err
+	}
+	defer rows.Close()
+	for rows.Next() {
+		var workOrder string
+		var totals ArgeBaggiDepotEntryTotals
+		if err := rows.Scan(&workOrder, &totals.Ceket, &totals.Pantolon, &totals.Yelek); err != nil {
+			return nil, err
+		}
+		out[strings.TrimSpace(workOrder)] = totals
+	}
+	return out, rows.Err()
+}
+
 func GetProductionHasCostProducts(
 	ctx context.Context,
 	uretimDB *sql.DB,
@@ -816,12 +892,22 @@ WITH SonOnMaliyet AS (
 	FROM dbo.spUrtOnMLMas M
 	WHERE LTRIM(RTRIM(M.UrunKodu)) <> ''
 ),
-SonSiparis AS (
+SonSiparisSirali AS (
 	SELECT
-		LTRIM(RTRIM(sMModelKodu)) AS UrunKodu,
-		MAX(dteIslemTarihi) AS SonSiparisTarihi
-	FROM dbo.spUrtSiparisDet
-	GROUP BY LTRIM(RTRIM(sMModelKodu))
+		LTRIM(RTRIM(SD.sMModelKodu)) AS UrunKodu,
+		SD.dteIslemTarihi AS SonSiparisTarihi,
+		SM.nUrtSiparisNo,
+		ROW_NUMBER() OVER (
+			PARTITION BY LTRIM(RTRIM(SD.sMModelKodu))
+			ORDER BY SD.dteIslemTarihi DESC, SD.nUrtSiparisID DESC
+		) AS rn
+	FROM dbo.spUrtSiparisDet SD
+	INNER JOIN dbo.spUrtSiparis SM ON SM.nUrtSiparisID = SD.nUrtSiparisID
+),
+SonSiparis AS (
+	SELECT UrunKodu, SonSiparisTarihi, nUrtSiparisNo
+	FROM SonSiparisSirali
+	WHERE rn = 1
 )
 SELECT
 	CASE
@@ -831,6 +917,7 @@ SELECT
 			THEN N'FASON ICIN URETILEN'
 		ELSE N'Tanimsiz'
 	END AS UretimSekli,
+	RTRIM(CONVERT(VARCHAR(32), ISNULL(SS.nUrtSiparisNo, 0))) AS nUrtSiparisNo,
 	RTRIM(CONVERT(VARCHAR(32), ISNULL(OM.nOnMLNo, 0))) AS nOnMLNo,
 	LTRIM(RTRIM(ISNULL(OM.UrunKodu, ''))) AS UrunKodu,
 	ISNULL(OM.UrunAdi, '') AS UrunAdi,

svc/routes/product_images.go

@@ -26,6 +26,7 @@ type ProductImageItem struct {
 	ThumbURL     string `json:"thumb_url,omitempty"`
 	FullURL      string `json:"full_url,omitempty"`
 	StoredInDB   bool   `json:"stored_in_db,omitempty"`
+	HasDBContent bool   `json:"-"`
 }
 
 type ProductImageBatchItem struct {
@@ -141,14 +142,68 @@ func enrichProductImageItem(it *ProductImageItem) {
 	if it == nil {
 		return
 	}
-	if it.ID > 0 {
-		it.ContentURL = fmt.Sprintf("/api/product-images/%d/content", it.ID)
-	}
 	if u := extractImageUUID(it.Storage, it.FileName); u != "" {
 		it.UUID = u
-		it.ThumbURL = "/uploads/image/t300/" + u + ".jpg"
-		it.FullURL = "/uploads/image/" + u + ".jpg"
+		it.ThumbURL = productImagePublicURLIfExists("uploads/image/t300/" + u + ".jpg")
+		it.FullURL = productImagePublicURLIfExists("uploads/image/" + u + ".jpg")
 	}
+	if it.FullURL == "" {
+		it.FullURL = productImagePublicURLIfExists(it.Storage)
+	}
+	if it.FullURL == "" {
+		it.FullURL = productImagePublicURLIfExists(it.FileName)
+	}
+	if it.ID > 0 && (it.HasDBContent || productImageStoredFileExists(it.Storage, it.FileName)) {
+		it.ContentURL = fmt.Sprintf("/api/product-images/%d/content", it.ID)
+	}
+}
+
+func productImageItemHasURL(it *ProductImageItem) bool {
+	return it != nil && (it.ThumbURL != "" || it.FullURL != "" || it.ContentURL != "")
+}
+
+func productImageStoredFileExists(storagePath, fileName string) bool {
+	if resolved, _ := resolveStoragePath(storagePath); resolved != "" {
+		return true
+	}
+	if resolved, _ := resolveStoragePath(fileName); resolved != "" {
+		return true
+	}
+	return false
+}
+
+func productImagePublicURLIfExists(storagePath string) string {
+	raw := strings.TrimSpace(storagePath)
+	if raw == "" {
+		return ""
+	}
+	resolved, _ := resolveStoragePath(raw)
+	if resolved == "" {
+		return ""
+	}
+
+	normalized := strings.ReplaceAll(raw, "\\", "/")
+	lower := strings.ToLower(normalized)
+	if idx := strings.Index(lower, "/uploads/"); idx >= 0 {
+		return normalized[idx:]
+	}
+	if strings.HasPrefix(lower, "uploads/") {
+		return "/" + normalized
+	}
+
+	root := strings.TrimSpace(os.Getenv("BLOB_ROOT"))
+	if root == "" {
+		return ""
+	}
+	rel, err := filepath.Rel(root, resolved)
+	if err != nil || rel == "." || strings.HasPrefix(rel, "..") || filepath.IsAbs(rel) {
+		return ""
+	}
+	rel = filepath.ToSlash(rel)
+	if strings.HasPrefix(strings.ToLower(rel), "uploads/") {
+		return "/" + rel
+	}
+	return ""
 }
 
 // POST /api/product-images/batch
@@ -224,6 +279,7 @@ ranked AS (
     COALESCE(b.file_size,0) AS file_size,
     COALESCE(b.storage_path,'') AS storage_path,
     COALESCE(b.stored_in_db,false) AS stored_in_db,
+    (COALESCE(octet_length(b.bin),0) > 0) AS has_db_content,
     ROW_NUMBER() OVER (
       PARTITION BY mi.key
       ORDER BY
@@ -241,9 +297,9 @@ ranked AS (
     AND b.typ='img'
     AND b.src_id=mi.mmitem_id
 )
-SELECT key, id, file_name, file_size, storage_path, stored_in_db
+SELECT key, id, file_name, file_size, storage_path, stored_in_db, has_db_content
 FROM ranked
-WHERE rn <= 1
+WHERE rn <= 5
 ORDER BY key, rn
 `, string(payload))
 		if err != nil {
@@ -257,10 +313,13 @@ ORDER BY key, rn
 		for rows.Next() {
 			var key string
 			var it ProductImageItem
-			if err := rows.Scan(&key, &it.ID, &it.FileName, &it.FileSize, &it.Storage, &it.StoredInDB); err != nil {
+			if err := rows.Scan(&key, &it.ID, &it.FileName, &it.FileSize, &it.Storage, &it.StoredInDB, &it.HasDBContent); err != nil {
 				continue
 			}
 			enrichProductImageItem(&it)
+			if !productImageItemHasURL(&it) {
+				continue
+			}
 			grouped[key] = append(grouped[key], it)
 		}
 		if err := rows.Err(); err != nil {
@@ -351,7 +410,8 @@ SELECT
   COALESCE(file_name,'') AS file_name,
   COALESCE(file_size,0) AS file_size,
   COALESCE(storage_path,'') AS storage_path,
-  COALESCE(stored_in_db,false) AS stored_in_db
+  COALESCE(stored_in_db,false) AS stored_in_db,
+  (COALESCE(octet_length(bin),0) > 0) AS has_db_content
 FROM dfblob
 WHERE typ='img'
   AND src_table='mmitem'
@@ -382,12 +442,14 @@ ORDER BY
 			items := make([]ProductImageItem, 0, 16)
 			for rows.Next() {
 				var it ProductImageItem
-				if err := rows.Scan(&it.ID, &it.FileName, &it.FileSize, &it.Storage, &it.StoredInDB); err != nil {
+				if err := rows.Scan(&it.ID, &it.FileName, &it.FileSize, &it.Storage, &it.StoredInDB, &it.HasDBContent); err != nil {
 					continue
 				}
 				enrichProductImageItem(&it)
+				if productImageItemHasURL(&it) {
 					items = append(items, it)
 				}
+			}
 			if err := rows.Err(); err != nil {
 				return nil, err
 			}
@@ -528,7 +590,8 @@ WHERE id = $1
 			return
 		}
 
-		if storedInDB && len(binData) > 0 {
+		_ = storedInDB
+		if len(binData) > 0 {
 			w.Header().Set("Content-Type", http.DetectContentType(binData))
 			w.Header().Set("Cache-Control", "public, max-age=3600")
 			_, _ = w.Write(binData)
@@ -593,6 +656,23 @@ func resolveStoragePath(storagePath string) (string, []string) {
 		filepath.Join("..", "..", relImageThumb),
 	}
 
+	if u := extractImageUUID(raw, baseName); u != "" {
+		uFull := filepath.FromSlash(filepath.Join("uploads", "image", u+".jpg"))
+		uThumb := filepath.FromSlash(filepath.Join("uploads", "image", "t300", u+".jpg"))
+		candidates = append(candidates,
+			filepath.FromSlash(filepath.Join("image", u+".jpg")),
+			filepath.FromSlash(filepath.Join("image", "t300", u+".jpg")),
+			uFull,
+			uThumb,
+			filepath.Join(".", uFull),
+			filepath.Join(".", uThumb),
+			filepath.Join("..", uFull),
+			filepath.Join("..", uThumb),
+			filepath.Join("..", "..", uFull),
+			filepath.Join("..", "..", uThumb),
+		)
+	}
+
 	if root := strings.TrimSpace(os.Getenv("BLOB_ROOT")); root != "" {
 		candidates = append(candidates,
 			filepath.Join(root, raw),
@@ -601,6 +681,14 @@ func resolveStoragePath(storagePath string) (string, []string) {
 			filepath.Join(root, relImage),
 			filepath.Join(root, relImageThumb),
 		)
+		if u := extractImageUUID(raw, baseName); u != "" {
+			candidates = append(candidates,
+				filepath.Join(root, "uploads", "image", u+".jpg"),
+				filepath.Join(root, "uploads", "image", "t300", u+".jpg"),
+				filepath.Join(root, "image", u+".jpg"),
+				filepath.Join(root, "image", "t300", u+".jpg"),
+			)
+		}
 	}
 
 	for _, p := range candidates {

svc/routes/product_performance.go

@@ -359,6 +359,64 @@ func GetProductPerformanceGroupedHandler(pg *sql.DB) http.HandlerFunc {
 	}
 }
 
+func GetProductPerformanceGroupedFilterOptionsHandler(pg *sql.DB) http.HandlerFunc {
+	return func(w http.ResponseWriter, r *http.Request) {
+		w.Header().Set("Content-Type", "application/json; charset=utf-8")
+		traceID := utils.TraceIDFromRequest(r)
+		ctx, cancel := context.WithTimeout(utils.ContextWithTraceID(r.Context(), traceID), 60*time.Second)
+		defer cancel()
+
+		mode := strings.TrimSpace(r.URL.Query().Get("mode"))
+		mainGroup := strings.TrimSpace(r.URL.Query().Get("urun_ana_grubu"))
+		groupLevels := splitCSVQuery(r.URL.Query().Get("group_levels"))
+		fields := splitCSVQuery(r.URL.Query().Get("fields"))
+		limit := intQuery(r, "limit", 50000)
+
+		if r.Method == http.MethodPost {
+			var body struct {
+				Mode        string   `json:"mode"`
+				GroupLevels []string `json:"group_levels"`
+				MainGroup   string   `json:"urun_ana_grubu"`
+				Fields      []string `json:"fields"`
+				Limit       int      `json:"limit"`
+			}
+			if err := json.NewDecoder(r.Body).Decode(&body); err != nil {
+				http.Error(w, "gecersiz filtre secenek istegi: "+err.Error(), http.StatusBadRequest)
+				return
+			}
+			if strings.TrimSpace(body.Mode) != "" {
+				mode = strings.TrimSpace(body.Mode)
+			}
+			if strings.TrimSpace(body.MainGroup) != "" {
+				mainGroup = strings.TrimSpace(body.MainGroup)
+			}
+			if len(body.GroupLevels) > 0 {
+				groupLevels = body.GroupLevels
+			}
+			if len(body.Fields) > 0 {
+				fields = body.Fields
+			}
+			if body.Limit > 0 {
+				limit = body.Limit
+			}
+		}
+
+		options, err := queries.ListProductPerformanceGroupedFilterOptions(ctx, pg, queries.ProductPerformanceGroupedFilterOptionsRequest{
+			Mode:        mode,
+			GroupLevels: groupLevels,
+			MainGroup:   mainGroup,
+			Fields:      fields,
+			Limit:       limit,
+		})
+		if err != nil {
+			log.Printf("[ProductPerformance][grouped-filter-options] failed trace_id=%s mode=%s levels=%v fields=%d: %v", traceID, mode, groupLevels, len(fields), err)
+			http.Error(w, "urun performans filtre secenekleri alinamadi: "+err.Error(), http.StatusInternalServerError)
+			return
+		}
+		_ = json.NewEncoder(w).Encode(options)
+	}
+}
+
 func splitCSVQuery(value string) []string {
 	parts := strings.Split(value, ",")
 	out := make([]string, 0, len(parts))

svc/routes/product_performance_excel.go

@@ -0,0 +1,1140 @@
+package routes
+
+import (
+	"bssapp-backend/models"
+	"bssapp-backend/queries"
+	"bssapp-backend/utils"
+	"context"
+	"database/sql"
+	"encoding/json"
+	"fmt"
+	"math"
+	"net/http"
+	"sort"
+	"strings"
+	"time"
+
+	"github.com/xuri/excelize/v2"
+)
+
+type productPerformanceExcelExportRequest struct {
+	Filters    map[string][]string `json:"filters"`
+	SortBy     string              `json:"sort_by"`
+	Descending *bool               `json:"descending"`
+}
+
+type productPerformanceExcelColumn struct {
+	Header string
+	Kind   string
+	Value  func(*productPerformanceExcelVariant, productPerformanceExcelStats) any
+}
+
+type productPerformanceExcelStats struct {
+	AvgSalesUSD90    float64
+	AvgSalesUSD180   float64
+	AvgSalesUSD365   float64
+	AvgSalesUSDTotal float64
+}
+
+type productPerformanceExcelVariant struct {
+	KpiDate          string
+	ProductCode      string
+	ColorCode        string
+	ColorDescription string
+	YakaKodu         string
+	ItemDescription  string
+	Kategori         string
+	Seri             string
+	YasGrubu         string
+	AskiliYan        string
+	UrunIlkGrubu     string
+	UrunAnaGrubu     string
+	UrunAltGrubu     string
+	StockQty         float64
+	AvgStock90       float64
+	AvgStock180      float64
+	AvgStock365      float64
+	AvgStockTotal    float64
+	BasePriceUSD     float64
+	CostPriceUSD     float64
+
+	SalesQty90  float64
+	SalesQty180 float64
+	SalesQty365 float64
+	SalesUSD90  float64
+	SalesUSD180 float64
+	SalesUSD365 float64
+
+	SalesQtyTotalProduct float64
+	SalesUSDTotalProduct float64
+	SalesQtyTotalGeneral float64
+	SalesUSDTotalGeneral float64
+	HasGeneralTotal      bool
+
+	MarketCount90      int
+	CustomerCount90    int
+	MarketCountTotal   int
+	CustomerCountTotal int
+	Markets90          map[string]bool
+	MarketsTotal       map[string]bool
+	MarketFiltered     bool
+
+	PerformanceBucket string
+	Recommendation    string
+	LastSaleDate      string
+	LastRefNumber     string
+	UpdatedAt         string
+}
+
+func ExportProductPerformanceExcelHandler(pg *sql.DB) http.HandlerFunc {
+	return func(w http.ResponseWriter, r *http.Request) {
+		traceID := utils.TraceIDFromRequest(r)
+		ctx, cancel := context.WithTimeout(utils.ContextWithTraceID(r.Context(), traceID), 180*time.Second)
+		defer cancel()
+
+		var req productPerformanceExcelExportRequest
+		if r.Method == http.MethodPost {
+			if err := json.NewDecoder(r.Body).Decode(&req); err != nil {
+				http.Error(w, "gecersiz excel istegi: "+err.Error(), http.StatusBadRequest)
+				return
+			}
+		}
+
+		productRows, _, err := queries.ListProductPerformance(ctx, pg, queries.ProductPerformanceFilters{
+			Limit:      50000,
+			Page:       1,
+			SortBy:     "product_code",
+			Descending: false,
+		})
+		if err != nil {
+			http.Error(w, "urun performans excel listesi alinamadi: "+err.Error(), http.StatusInternalServerError)
+			return
+		}
+
+		generalRows, err := queries.ListProductPerformanceGeneral(ctx, pg, 50000)
+		if err != nil {
+			http.Error(w, "urun performans genel excel listesi alinamadi: "+err.Error(), http.StatusInternalServerError)
+			return
+		}
+
+		rows := buildProductPerformanceExcelVariants(productRows, generalRows, req.Filters)
+		sortProductPerformanceExcelVariants(rows, req.SortBy, req.Descending == nil || *req.Descending)
+		stats := productPerformanceExcelStatsFor(rows)
+
+		file, err := buildProductPerformanceExcelFile(rows, stats)
+		if err != nil {
+			http.Error(w, "urun performans excel dosyasi hazirlanamadi: "+err.Error(), http.StatusInternalServerError)
+			return
+		}
+		defer func() { _ = file.Close() }()
+
+		buf, err := file.WriteToBuffer()
+		if err != nil {
+			http.Error(w, err.Error(), http.StatusInternalServerError)
+			return
+		}
+
+		filename := fmt.Sprintf("product_performance_renk_yaka_%s.xlsx", time.Now().Format("20060102_150405"))
+		w.Header().Set("Content-Type", "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet")
+		w.Header().Set("Content-Disposition", "attachment; filename=\""+filename+"\"")
+		w.Header().Set("Content-Length", fmt.Sprint(len(buf.Bytes())))
+		w.WriteHeader(http.StatusOK)
+		_, _ = w.Write(buf.Bytes())
+	}
+}
+
+func buildProductPerformanceExcelVariants(productRows []models.ProductPerformanceRow, generalRows []models.ProductPerformanceGeneralRow, filters map[string][]string) []*productPerformanceExcelVariant {
+	byKey := map[string]*productPerformanceExcelVariant{}
+	marketFiltered := productPerformanceExcelHasFilter(filters, "market_key")
+	for _, row := range productRows {
+		if !productPerformanceExcelProductRowMatchesFilters(row, filters) {
+			continue
+		}
+		key := productPerformanceExcelVariantKey(row.ProductCode, row.ColorCode, row.YakaKodu)
+		v := byKey[key]
+		if v == nil {
+			v = &productPerformanceExcelVariant{Markets90: map[string]bool{}, MarketsTotal: map[string]bool{}, MarketFiltered: marketFiltered}
+			byKey[key] = v
+		}
+		v.addProductRow(row)
+	}
+	for _, row := range generalRows {
+		if !productPerformanceExcelGeneralRowMatchesFilters(row, filters) {
+			continue
+		}
+		key := productPerformanceExcelVariantKey(row.ProductCode, row.ColorCode, row.YakaKodu)
+		v := byKey[key]
+		if v == nil {
+			v = &productPerformanceExcelVariant{Markets90: map[string]bool{}, MarketsTotal: map[string]bool{}, MarketFiltered: marketFiltered}
+			byKey[key] = v
+		}
+		v.addGeneralRow(row)
+	}
+
+	out := make([]*productPerformanceExcelVariant, 0, len(byKey))
+	for _, row := range byKey {
+		if productPerformanceExcelVariantMatchesPostFilters(row, filters) {
+			out = append(out, row)
+		}
+	}
+	return out
+}
+
+func (v *productPerformanceExcelVariant) addProductRow(row models.ProductPerformanceRow) {
+	v.fillDimensions(
+		row.KpiDate, row.ProductCode, row.ColorCode, row.ColorDescription, row.YakaKodu, row.ItemDescription,
+		row.Kategori, row.Seri, row.YasGrubu, row.AskiliYan, row.UrunIlkGrubu, row.UrunAnaGrubu, row.UrunAltGrubu,
+		row.BasePriceUSD, row.CostPriceUSD, row.StockQty, row.LastSaleDate, row.LastRefNumber, row.UpdatedAt,
+	)
+	v.SalesQty90 += row.SalesQty90
+	v.SalesQty180 += row.SalesQty180
+	v.SalesQty365 += row.SalesQty365
+	v.SalesUSD90 += row.SalesUSD90
+	v.SalesUSD180 += row.SalesUSD180
+	v.SalesUSD365 += row.SalesUSD365
+	v.AvgStock90 = productPerformanceExcelFirstNonZero(v.AvgStock90, row.AvgStock90)
+	v.AvgStock180 = productPerformanceExcelFirstNonZero(v.AvgStock180, row.AvgStock180)
+	v.AvgStock365 = productPerformanceExcelFirstNonZero(v.AvgStock365, row.AvgStock365)
+	v.AvgStockTotal = productPerformanceExcelFirstNonZero(v.AvgStockTotal, row.AvgStockTotal)
+	v.SalesQtyTotalProduct += row.SalesQtyTotal
+	v.SalesUSDTotalProduct += row.SalesUSDTotal
+	v.MarketCount90 = productPerformanceExcelMaxInt(v.MarketCount90, row.MarketCount90)
+	if row.SalesUSD90 > 0 {
+		v.CustomerCount90 += row.CustomerCount90
+	}
+	v.PerformanceBucket = productPerformanceExcelFirstNonEmpty(v.PerformanceBucket, row.PerformanceBucket)
+	v.Recommendation = productPerformanceExcelFirstNonEmpty(v.Recommendation, row.Recommendation)
+	v.addMarket(row.MarketKey, row.SalesQty90, row.SalesUSD90, row.SalesQtyTotal, row.SalesUSDTotal)
+}
+
+func (v *productPerformanceExcelVariant) addGeneralRow(row models.ProductPerformanceGeneralRow) {
+	v.fillDimensions(
+		productPerformanceExcelFirstNonEmpty(row.PeriodEnd, row.PeriodStart), row.ProductCode, row.ColorCode, row.ColorDescription, row.YakaKodu, row.ItemDescription,
+		row.Kategori, row.Seri, row.YasGrubu, row.AskiliYan, row.UrunIlkGrubu, row.UrunAnaGrubu, row.UrunAltGrubu,
+		row.BasePriceUSD, row.CostPriceUSD, row.StockQty, row.LastSaleDate, row.LastRefNumber, "",
+	)
+	v.SalesQtyTotalGeneral += row.SalesQtyTotal
+	v.SalesUSDTotalGeneral += row.SalesUSDTotal
+	v.HasGeneralTotal = true
+	v.MarketCountTotal = productPerformanceExcelMaxInt(v.MarketCountTotal, row.MarketCountTotal)
+	if row.SalesUSDTotal > 0 {
+		v.CustomerCountTotal += row.CustomerCountTotal
+	}
+	v.PerformanceBucket = productPerformanceExcelFirstNonEmpty(v.PerformanceBucket, row.PerformanceBucket)
+	v.Recommendation = productPerformanceExcelFirstNonEmpty(v.Recommendation, row.Recommendation)
+	v.addMarket(row.MarketKey, 0, 0, row.SalesQtyTotal, row.SalesUSDTotal)
+}
+
+func (v *productPerformanceExcelVariant) fillDimensions(kpiDate, productCode, colorCode, colorDescription, yakaKodu, itemDescription, kategori, seri, yasGrubu, askiliYan, urunIlkGrubu, urunAnaGrubu, urunAltGrubu string, basePrice, costPrice, stockQty float64, lastSaleDate, lastRefNumber, updatedAt string) {
+	v.KpiDate = productPerformanceExcelFirstNonEmpty(v.KpiDate, kpiDate)
+	v.ProductCode = productPerformanceExcelFirstNonEmpty(v.ProductCode, productCode)
+	v.ColorCode = productPerformanceExcelFirstNonEmpty(v.ColorCode, colorCode)
+	v.ColorDescription = productPerformanceExcelFirstNonEmpty(v.ColorDescription, colorDescription)
+	v.YakaKodu = productPerformanceExcelFirstNonEmpty(v.YakaKodu, yakaKodu)
+	v.ItemDescription = productPerformanceExcelFirstNonEmpty(v.ItemDescription, itemDescription)
+	v.Kategori = productPerformanceExcelFirstNonEmpty(v.Kategori, kategori)
+	v.Seri = productPerformanceExcelFirstNonEmpty(v.Seri, seri)
+	v.YasGrubu = productPerformanceExcelFirstNonEmpty(v.YasGrubu, yasGrubu)
+	v.AskiliYan = productPerformanceExcelFirstNonEmpty(v.AskiliYan, productPerformanceExcelCleanOptional(askiliYan))
+	v.UrunIlkGrubu = productPerformanceExcelFirstNonEmpty(v.UrunIlkGrubu, productPerformanceExcelCleanOptional(urunIlkGrubu))
+	v.UrunAnaGrubu = productPerformanceExcelFirstNonEmpty(v.UrunAnaGrubu, urunAnaGrubu)
+	v.UrunAltGrubu = productPerformanceExcelFirstNonEmpty(v.UrunAltGrubu, urunAltGrubu)
+	v.BasePriceUSD = productPerformanceExcelFirstNonZero(v.BasePriceUSD, basePrice)
+	v.CostPriceUSD = productPerformanceExcelFirstNonZero(v.CostPriceUSD, costPrice)
+	v.CostPriceUSD, v.BasePriceUSD = productPerformanceExcelNormalizeCostPair(v.CostPriceUSD, v.BasePriceUSD)
+	if stockQty > v.StockQty {
+		v.StockQty = stockQty
+	}
+	if lastSaleDate > v.LastSaleDate {
+		v.LastSaleDate = lastSaleDate
+		v.LastRefNumber = lastRefNumber
+	}
+	if updatedAt > v.UpdatedAt {
+		v.UpdatedAt = updatedAt
+	}
+}
+
+func (v *productPerformanceExcelVariant) addMarket(marketKey string, salesQty90, salesUSD90, salesQtyTotal, salesUSDTotal float64) {
+	market := productPerformanceExcelMarketName(marketKey)
+	if market == "" || market == "STOK" {
+		return
+	}
+	if salesUSD90 > 0 {
+		v.Markets90[market] = true
+	}
+	if salesUSDTotal > 0 {
+		v.MarketsTotal[market] = true
+	}
+}
+
+func (v *productPerformanceExcelVariant) totalQty() float64 {
+	if v.HasGeneralTotal {
+		return v.SalesQtyTotalGeneral
+	}
+	return v.SalesQtyTotalProduct
+}
+
+func (v *productPerformanceExcelVariant) totalUSD() float64 {
+	if v.HasGeneralTotal {
+		return v.SalesUSDTotalGeneral
+	}
+	return v.SalesUSDTotalProduct
+}
+
+func (v *productPerformanceExcelVariant) marketCount90() int {
+	if v.MarketFiltered {
+		return len(v.Markets90)
+	}
+	return productPerformanceExcelMaxInt(v.MarketCount90, len(v.Markets90))
+}
+
+func (v *productPerformanceExcelVariant) marketCountTotal() int {
+	if v.MarketFiltered {
+		return len(v.MarketsTotal)
+	}
+	return productPerformanceExcelMaxInt(v.MarketCountTotal, len(v.MarketsTotal))
+}
+
+func (v *productPerformanceExcelVariant) marketsLabel() string {
+	return productPerformanceExcelSortedSetLabel(v.MarketsTotal)
+}
+
+func buildProductPerformanceExcelFile(rows []*productPerformanceExcelVariant, stats productPerformanceExcelStats) (*excelize.File, error) {
+	f := excelize.NewFile()
+	sheet := "RenkYaka"
+	f.SetSheetName("Sheet1", sheet)
+
+	columns := productPerformanceExcelColumns()
+	headerStyle, _ := f.NewStyle(&excelize.Style{
+		Font:      &excelize.Font{Bold: true, Color: "FFFFFF"},
+		Fill:      excelize.Fill{Type: "pattern", Pattern: 1, Color: []string{"1F4E78"}},
+		Alignment: &excelize.Alignment{Horizontal: "center", Vertical: "center", WrapText: true},
+	})
+	textStyle, _ := f.NewStyle(&excelize.Style{NumFmt: 49})
+	intStyle, _ := f.NewStyle(&excelize.Style{NumFmt: 3})
+	decimalStyle, _ := f.NewStyle(&excelize.Style{NumFmt: 4})
+	percentStyle, _ := f.NewStyle(&excelize.Style{NumFmt: 10})
+
+	for i, col := range columns {
+		cell, _ := excelize.CoordinatesToCellName(i+1, 1)
+		_ = f.SetCellStr(sheet, cell, col.Header)
+	}
+	if len(columns) > 0 {
+		lastHeader, _ := excelize.CoordinatesToCellName(len(columns), 1)
+		_ = f.SetCellStyle(sheet, "A1", lastHeader, headerStyle)
+	}
+
+	for rowIndex, row := range rows {
+		excelRow := rowIndex + 2
+		for colIndex, col := range columns {
+			cell, _ := excelize.CoordinatesToCellName(colIndex+1, excelRow)
+			value := col.Value(row, stats)
+			if col.Kind == "text" {
+				_ = f.SetCellStr(sheet, cell, strings.TrimSpace(fmt.Sprint(value)))
+			} else {
+				_ = f.SetCellValue(sheet, cell, productPerformanceExcelFloat(value))
+			}
+		}
+	}
+
+	lastRow := productPerformanceExcelMaxInt(len(rows)+1, 2)
+	if len(columns) > 0 {
+		lastFilterCell, _ := excelize.CoordinatesToCellName(len(columns), lastRow)
+		_ = f.AutoFilter(sheet, "A1:"+lastFilterCell, []excelize.AutoFilterOptions{})
+	}
+	for i, col := range columns {
+		colName, _ := excelize.ColumnNumberToName(i + 1)
+		_ = f.SetColWidth(sheet, colName, colName, productPerformanceExcelColumnWidth(col.Header, col.Kind))
+		style := decimalStyle
+		switch col.Kind {
+		case "text":
+			style = textStyle
+		case "int":
+			style = intStyle
+		case "percent":
+			style = percentStyle
+		}
+		_ = f.SetCellStyle(sheet, fmt.Sprintf("%s2", colName), fmt.Sprintf("%s%d", colName, lastRow), style)
+	}
+	_ = f.SetPanes(sheet, &excelize.Panes{Freeze: true, YSplit: 1, TopLeftCell: "A2", ActivePane: "bottomLeft"})
+	return f, nil
+}
+
+func productPerformanceExcelColumns() []productPerformanceExcelColumn {
+	base := []productPerformanceExcelColumn{
+		textExcelColumn("KPI Tarihi", func(v *productPerformanceExcelVariant) any { return v.KpiDate }),
+		textExcelColumn("Ürün İlk Grubu", func(v *productPerformanceExcelVariant) any { return v.UrunIlkGrubu }),
+		textExcelColumn("Askılı/Yan", func(v *productPerformanceExcelVariant) any { return v.AskiliYan }),
+		textExcelColumn("Kategori", func(v *productPerformanceExcelVariant) any { return v.Kategori }),
+		textExcelColumn("Ürün Ana Grubu", func(v *productPerformanceExcelVariant) any { return v.UrunAnaGrubu }),
+		textExcelColumn("Ürün Alt Grubu", func(v *productPerformanceExcelVariant) any { return v.UrunAltGrubu }),
+		textExcelColumn("Ürün", func(v *productPerformanceExcelVariant) any { return v.ProductCode }),
+		textExcelColumn("Açıklama", func(v *productPerformanceExcelVariant) any { return v.ItemDescription }),
+		textExcelColumn("Renk", func(v *productPerformanceExcelVariant) any { return v.ColorCode }),
+		textExcelColumn("Renk Açıklama", func(v *productPerformanceExcelVariant) any { return v.ColorDescription }),
+		textExcelColumn("Yaka", func(v *productPerformanceExcelVariant) any { return v.YakaKodu }),
+		textExcelColumn("Renk/Yaka", func(v *productPerformanceExcelVariant) any {
+			return productPerformanceExcelColorYaka(v.ColorCode, v.ColorDescription, v.YakaKodu)
+		}),
+		textExcelColumn("Piyasalar", func(v *productPerformanceExcelVariant) any { return v.marketsLabel() }),
+		numberExcelColumn("Toplam Stok", "int", func(v *productPerformanceExcelVariant) any { return v.StockQty }),
+	}
+	base = append(base, productPerformanceExcelPeriodColumns("90G", "90d", func(v *productPerformanceExcelVariant) (float64, float64, int, int) {
+		return v.SalesQty90, v.SalesUSD90, v.marketCount90(), v.CustomerCount90
+	})...)
+	base = append(base, productPerformanceExcelPeriodColumns("180G", "180d", func(v *productPerformanceExcelVariant) (float64, float64, int, int) {
+		return v.SalesQty180, v.SalesUSD180, v.marketCount90(), v.CustomerCount90
+	})...)
+	base = append(base, productPerformanceExcelPeriodColumns("360G", "365d", func(v *productPerformanceExcelVariant) (float64, float64, int, int) {
+		return v.SalesQty365, v.SalesUSD365, v.marketCount90(), v.CustomerCount90
+	})...)
+	base = append(base, productPerformanceExcelPeriodColumns("Genel", "total", func(v *productPerformanceExcelVariant) (float64, float64, int, int) {
+		return v.totalQty(), v.totalUSD(), v.marketCountTotal(), v.CustomerCountTotal
+	})...)
+	base = append(base,
+		textExcelColumn("Durum", func(v *productPerformanceExcelVariant) any { return productPerformanceExcelStatus(v) }),
+		textExcelColumn("Öneri", func(v *productPerformanceExcelVariant) any { return productPerformanceExcelRecommendation(v) }),
+		textExcelColumn("Son Satış", func(v *productPerformanceExcelVariant) any { return v.LastSaleDate }),
+		textExcelColumn("Son Ref", func(v *productPerformanceExcelVariant) any { return v.LastRefNumber }),
+		textExcelColumn("Güncelleme", func(v *productPerformanceExcelVariant) any { return v.UpdatedAt }),
+	)
+	return base
+}
+
+func productPerformanceExcelPeriodColumns(label, suffix string, values func(*productPerformanceExcelVariant) (float64, float64, int, int)) []productPerformanceExcelColumn {
+	return []productPerformanceExcelColumn{
+		numberExcelColumn(label+" Toplam Adet", "int", func(v *productPerformanceExcelVariant) any {
+			qty, _, _, _ := values(v)
+			return qty
+		}),
+		numberExcelColumn(label+" Toplam Ciro USD", "number", func(v *productPerformanceExcelVariant) any {
+			_, usd, _, _ := values(v)
+			return usd
+		}),
+		numberExcelColumn(label+" Ort. Satış Fiyatı USD", "number", func(v *productPerformanceExcelVariant) any {
+			qty, usd, _, _ := values(v)
+			return productPerformanceExcelAvgPrice(usd, qty)
+		}),
+		numberExcelColumn(label+" Yıllık Stok Devir", "number", func(v *productPerformanceExcelVariant) any {
+			qty, _, _, _ := values(v)
+			return productPerformanceExcelStockTurnover(qty, productPerformanceExcelAvgStock(v, suffix), productPerformanceExcelPeriodDays(v, suffix))
+		}),
+		numberExcelColumn(label+" Taban Maliyet USD", "number", func(v *productPerformanceExcelVariant) any { return v.BasePriceUSD }),
+		numberExcelColumn(label+" Çıplak Maliyet USD", "number", func(v *productPerformanceExcelVariant) any { return v.CostPriceUSD }),
+		numberExcelColumn(label+" Taban Toplam K/Z USD", "number", func(v *productPerformanceExcelVariant) any {
+			qty, usd, _, _ := values(v)
+			return productPerformanceExcelGrossProfit(usd, qty, v.BasePriceUSD)
+		}),
+		numberExcelColumn(label+" Çıplak Toplam K/Z USD", "number", func(v *productPerformanceExcelVariant) any {
+			qty, usd, _, _ := values(v)
+			return productPerformanceExcelGrossProfit(usd, qty, v.CostPriceUSD)
+		}),
+		numberExcelColumn(label+" Taban Marj", "percent", func(v *productPerformanceExcelVariant) any {
+			qty, usd, _, _ := values(v)
+			return productPerformanceExcelMargin(usd, qty, v.BasePriceUSD)
+		}),
+		numberExcelColumn(label+" Çıplak Marj", "percent", func(v *productPerformanceExcelVariant) any {
+			qty, usd, _, _ := values(v)
+			return productPerformanceExcelMargin(usd, qty, v.CostPriceUSD)
+		}),
+		numberExcelColumn(label+" Tekil Piyasa", "int", func(v *productPerformanceExcelVariant) any {
+			_, _, markets, _ := values(v)
+			return markets
+		}),
+		numberExcelColumn(label+" Tekil Müşteri", "int", func(v *productPerformanceExcelVariant) any {
+			_, _, _, customers := values(v)
+			return customers
+		}),
+		numberExcelColumn(label+" Ürün Skor", "number", func(v *productPerformanceExcelVariant) any {
+			qty, usd, markets, customers := values(v)
+			days := productPerformanceExcelPeriodDays(v, suffix)
+			return productPerformanceExcelProductScore(suffix, usd, productPerformanceExcelStockTurnover(qty, productPerformanceExcelAvgStock(v, suffix), days), float64(markets), float64(customers), productPerformanceExcelMargin(usd, qty, v.CostPriceUSD), days)
+		}),
+	}
+}
+
+func textExcelColumn(header string, value func(*productPerformanceExcelVariant) any) productPerformanceExcelColumn {
+	return productPerformanceExcelColumn{Header: header, Kind: "text", Value: func(v *productPerformanceExcelVariant, _ productPerformanceExcelStats) any { return value(v) }}
+}
+
+func numberExcelColumn(header, kind string, value func(*productPerformanceExcelVariant) any) productPerformanceExcelColumn {
+	return productPerformanceExcelColumn{Header: header, Kind: kind, Value: func(v *productPerformanceExcelVariant, _ productPerformanceExcelStats) any { return value(v) }}
+}
+
+func productPerformanceExcelProductRowMatchesFilters(row models.ProductPerformanceRow, filters map[string][]string) bool {
+	for field, selected := range productPerformanceExcelFilterSets(filters) {
+		if field == "performance_bucket" {
+			continue
+		}
+		if !productPerformanceExcelMatchesAny(selected, productPerformanceExcelProductFilterCandidates(row, field)) {
+			return false
+		}
+	}
+	return true
+}
+
+func productPerformanceExcelGeneralRowMatchesFilters(row models.ProductPerformanceGeneralRow, filters map[string][]string) bool {
+	for field, selected := range productPerformanceExcelFilterSets(filters) {
+		if field == "performance_bucket" {
+			continue
+		}
+		if !productPerformanceExcelMatchesAny(selected, productPerformanceExcelGeneralFilterCandidates(row, field)) {
+			return false
+		}
+	}
+	return true
+}
+
+func productPerformanceExcelVariantMatchesPostFilters(row *productPerformanceExcelVariant, filters map[string][]string) bool {
+	selected := productPerformanceExcelFilterSets(filters)["performance_bucket"]
+	if len(selected) == 0 {
+		return true
+	}
+	return productPerformanceExcelMatchesAny(selected, []string{row.PerformanceBucket, productPerformanceExcelStatus(row)})
+}
+
+func productPerformanceExcelFilterSets(filters map[string][]string) map[string]map[string]bool {
+	out := map[string]map[string]bool{}
+	for field, values := range filters {
+		field = strings.TrimSpace(field)
+		for _, value := range values {
+			value = productPerformanceExcelNormalize(value)
+			if value == "" {
+				continue
+			}
+			if out[field] == nil {
+				out[field] = map[string]bool{}
+			}
+			out[field][value] = true
+		}
+	}
+	return out
+}
+
+func productPerformanceExcelHasFilter(filters map[string][]string, field string) bool {
+	for _, value := range filters[strings.TrimSpace(field)] {
+		if strings.TrimSpace(value) != "" {
+			return true
+		}
+	}
+	return false
+}
+
+func productPerformanceExcelProductFilterCandidates(row models.ProductPerformanceRow, field string) []string {
+	switch strings.TrimSpace(field) {
+	case "product_code":
+		return []string{row.ProductCode}
+	case "item_description":
+		return []string{row.ItemDescription}
+	case "color_code":
+		return []string{row.ColorCode}
+	case "yaka_kodu":
+		return []string{row.YakaKodu}
+	case "color_yaka":
+		return []string{productPerformanceExcelColorYaka(row.ColorCode, row.ColorDescription, row.YakaKodu), row.ColorCode + "/" + row.YakaKodu}
+	case "kategori":
+		return []string{row.Kategori}
+	case "askili_yan":
+		return []string{productPerformanceExcelCleanOptional(row.AskiliYan)}
+	case "urun_ilk_grubu":
+		return []string{productPerformanceExcelCleanOptional(row.UrunIlkGrubu)}
+	case "urun_ana_grubu":
+		return []string{row.UrunAnaGrubu}
+	case "urun_alt_grubu":
+		return []string{row.UrunAltGrubu}
+	case "market_key":
+		return []string{row.MarketKey, productPerformanceExcelMarketName(row.MarketKey)}
+	default:
+		return nil
+	}
+}
+
+func productPerformanceExcelGeneralFilterCandidates(row models.ProductPerformanceGeneralRow, field string) []string {
+	switch strings.TrimSpace(field) {
+	case "product_code":
+		return []string{row.ProductCode}
+	case "item_description":
+		return []string{row.ItemDescription}
+	case "color_code":
+		return []string{row.ColorCode}
+	case "yaka_kodu":
+		return []string{row.YakaKodu}
+	case "color_yaka":
+		return []string{productPerformanceExcelColorYaka(row.ColorCode, row.ColorDescription, row.YakaKodu), row.ColorCode + "/" + row.YakaKodu}
+	case "kategori":
+		return []string{row.Kategori}
+	case "askili_yan":
+		return []string{productPerformanceExcelCleanOptional(row.AskiliYan)}
+	case "urun_ilk_grubu":
+		return []string{productPerformanceExcelCleanOptional(row.UrunIlkGrubu)}
+	case "urun_ana_grubu":
+		return []string{row.UrunAnaGrubu}
+	case "urun_alt_grubu":
+		return []string{row.UrunAltGrubu}
+	case "market_key":
+		return []string{row.MarketKey, productPerformanceExcelMarketName(row.MarketKey)}
+	default:
+		return nil
+	}
+}
+
+func productPerformanceExcelMatchesAny(selected map[string]bool, candidates []string) bool {
+	if len(selected) == 0 {
+		return true
+	}
+	for _, candidate := range candidates {
+		if selected[productPerformanceExcelNormalize(candidate)] {
+			return true
+		}
+	}
+	return false
+}
+
+func sortProductPerformanceExcelVariants(rows []*productPerformanceExcelVariant, sortBy string, desc bool) {
+	sortBy = strings.TrimSpace(sortBy)
+	if sortBy == "" || sortBy == "image" {
+		sortBy = "product_code"
+		desc = false
+	}
+	sort.SliceStable(rows, func(i, j int) bool {
+		cmp := productPerformanceExcelCompare(rows[i], rows[j], sortBy)
+		if cmp == 0 {
+			cmp = strings.Compare(productPerformanceExcelHierarchySortKey(rows[i]), productPerformanceExcelHierarchySortKey(rows[j]))
+		}
+		if desc {
+			return cmp > 0
+		}
+		return cmp < 0
+	})
+}
+
+func productPerformanceExcelCompare(a, b *productPerformanceExcelVariant, sortBy string) int {
+	if productPerformanceExcelIsNumericSort(sortBy) {
+		av := productPerformanceExcelSortNumber(a, sortBy)
+		bv := productPerformanceExcelSortNumber(b, sortBy)
+		if av < bv {
+			return -1
+		}
+		if av > bv {
+			return 1
+		}
+		return 0
+	}
+	return strings.Compare(productPerformanceExcelNormalize(productPerformanceExcelSortText(a, sortBy)), productPerformanceExcelNormalize(productPerformanceExcelSortText(b, sortBy)))
+}
+
+func productPerformanceExcelIsNumericSort(sortBy string) bool {
+	switch sortBy {
+	case "stock_qty", "sales_qty_90d", "sales_qty_180d", "sales_qty_365d", "sales_qty_total",
+		"sales_usd_90d", "sales_usd_180d", "sales_usd_365d", "sales_usd_total",
+		"avg_price_usd_90d", "avg_price_usd_180d", "avg_price_usd_365d", "avg_price_usd_total",
+		"stock_turnover_90d", "stock_turnover_180d", "stock_turnover_365d", "stock_turnover_total",
+		"base_price_usd", "cost_price_usd", "market_count_90d", "customer_count_90d", "market_count_total", "customer_count_total",
+		"performance_score", "performance_score_90d", "performance_score_total":
+		return true
+	default:
+		return false
+	}
+}
+
+func productPerformanceExcelSortNumber(row *productPerformanceExcelVariant, sortBy string) float64 {
+	switch sortBy {
+	case "stock_qty":
+		return row.StockQty
+	case "sales_qty_90d":
+		return row.SalesQty90
+	case "sales_qty_180d":
+		return row.SalesQty180
+	case "sales_qty_365d":
+		return row.SalesQty365
+	case "sales_qty_total":
+		return row.totalQty()
+	case "sales_usd_90d":
+		return row.SalesUSD90
+	case "sales_usd_180d":
+		return row.SalesUSD180
+	case "sales_usd_365d":
+		return row.SalesUSD365
+	case "sales_usd_total":
+		return row.totalUSD()
+	case "avg_price_usd_90d":
+		return productPerformanceExcelAvgPrice(row.SalesUSD90, row.SalesQty90)
+	case "avg_price_usd_180d":
+		return productPerformanceExcelAvgPrice(row.SalesUSD180, row.SalesQty180)
+	case "avg_price_usd_365d":
+		return productPerformanceExcelAvgPrice(row.SalesUSD365, row.SalesQty365)
+	case "avg_price_usd_total":
+		return productPerformanceExcelAvgPrice(row.totalUSD(), row.totalQty())
+	case "stock_turnover_90d":
+		return productPerformanceExcelStockTurnover(row.SalesQty90, productPerformanceExcelAvgStock(row, "90d"), productPerformanceExcelPeriodDays(row, "90d"))
+	case "stock_turnover_180d":
+		return productPerformanceExcelStockTurnover(row.SalesQty180, productPerformanceExcelAvgStock(row, "180d"), productPerformanceExcelPeriodDays(row, "180d"))
+	case "stock_turnover_365d":
+		return productPerformanceExcelStockTurnover(row.SalesQty365, productPerformanceExcelAvgStock(row, "365d"), productPerformanceExcelPeriodDays(row, "365d"))
+	case "stock_turnover_total":
+		return productPerformanceExcelStockTurnover(row.totalQty(), productPerformanceExcelAvgStock(row, "total"), productPerformanceExcelPeriodDays(row, "total"))
+	case "base_price_usd":
+		return row.BasePriceUSD
+	case "cost_price_usd":
+		return row.CostPriceUSD
+	case "market_count_90d":
+		return float64(row.marketCount90())
+	case "customer_count_90d":
+		return float64(row.CustomerCount90)
+	case "market_count_total":
+		return float64(row.marketCountTotal())
+	case "customer_count_total":
+		return float64(row.CustomerCountTotal)
+	case "performance_score", "performance_score_90d":
+		days := productPerformanceExcelPeriodDays(row, "90d")
+		return productPerformanceExcelProductScore("90d", row.SalesUSD90, productPerformanceExcelStockTurnover(row.SalesQty90, productPerformanceExcelAvgStock(row, "90d"), days), float64(row.marketCount90()), float64(row.CustomerCount90), productPerformanceExcelMargin(row.SalesUSD90, row.SalesQty90, row.CostPriceUSD), days)
+	case "performance_score_total":
+		days := productPerformanceExcelPeriodDays(row, "total")
+		return productPerformanceExcelProductScore("total", row.totalUSD(), productPerformanceExcelStockTurnover(row.totalQty(), productPerformanceExcelAvgStock(row, "total"), days), float64(row.marketCountTotal()), float64(row.CustomerCountTotal), productPerformanceExcelMargin(row.totalUSD(), row.totalQty(), row.CostPriceUSD), days)
+	default:
+		return 0
+	}
+}
+
+func productPerformanceExcelSortText(row *productPerformanceExcelVariant, sortBy string) string {
+	switch sortBy {
+	case "product_code":
+		return row.ProductCode
+	case "color_yaka":
+		return productPerformanceExcelColorYaka(row.ColorCode, row.ColorDescription, row.YakaKodu)
+	case "color_code":
+		return row.ColorCode
+	case "yaka_kodu":
+		return row.YakaKodu
+	case "item_description":
+		return row.ItemDescription
+	case "kategori":
+		return row.Kategori
+	case "askili_yan":
+		return row.AskiliYan
+	case "urun_ilk_grubu":
+		return row.UrunIlkGrubu
+	case "urun_ana_grubu":
+		return row.UrunAnaGrubu
+	case "urun_alt_grubu":
+		return row.UrunAltGrubu
+	case "market_key":
+		return row.marketsLabel()
+	case "performance_bucket":
+		return productPerformanceExcelStatus(row)
+	default:
+		return productPerformanceExcelHierarchySortKey(row)
+	}
+}
+
+func productPerformanceExcelStatsFor(rows []*productPerformanceExcelVariant) productPerformanceExcelStats {
+	var stats productPerformanceExcelStats
+	var c90, c180, c365, cTotal float64
+	for _, row := range rows {
+		if row.SalesUSD90 > 0 {
+			stats.AvgSalesUSD90 += row.SalesUSD90
+			c90++
+		}
+		if row.SalesUSD180 > 0 {
+			stats.AvgSalesUSD180 += row.SalesUSD180
+			c180++
+		}
+		if row.SalesUSD365 > 0 {
+			stats.AvgSalesUSD365 += row.SalesUSD365
+			c365++
+		}
+		if row.totalUSD() > 0 {
+			stats.AvgSalesUSDTotal += row.totalUSD()
+			cTotal++
+		}
+	}
+	if c90 > 0 {
+		stats.AvgSalesUSD90 /= c90
+	}
+	if c180 > 0 {
+		stats.AvgSalesUSD180 /= c180
+	}
+	if c365 > 0 {
+		stats.AvgSalesUSD365 /= c365
+	}
+	if cTotal > 0 {
+		stats.AvgSalesUSDTotal /= cTotal
+	}
+	return stats
+}
+
+func productPerformanceExcelVariantKey(productCode, colorCode, yakaKodu string) string {
+	return strings.ToUpper(strings.TrimSpace(productCode)) + "|" + strings.ToUpper(strings.TrimSpace(colorCode)) + "|" + strings.ToUpper(strings.TrimSpace(yakaKodu))
+}
+
+func productPerformanceExcelHierarchySortKey(row *productPerformanceExcelVariant) string {
+	return strings.Join([]string{row.UrunIlkGrubu, row.AskiliYan, row.Kategori, row.UrunAnaGrubu, row.UrunAltGrubu, row.ProductCode, row.ColorCode, row.YakaKodu}, "|")
+}
+
+func productPerformanceExcelColorYaka(colorCode, colorDescription, yakaKodu string) string {
+	color := strings.TrimSpace(colorCode)
+	if desc := strings.TrimSpace(colorDescription); color != "" && desc != "" {
+		color = color + "-" + strings.ToUpper(desc)
+	}
+	yaka := strings.TrimSpace(yakaKodu)
+	parts := make([]string, 0, 2)
+	if color != "" && color != "-" {
+		parts = append(parts, color)
+	}
+	if yaka != "" && yaka != "-" {
+		parts = append(parts, yaka)
+	}
+	return strings.Join(parts, "/")
+}
+
+func productPerformanceExcelMarketName(value string) string {
+	parts := strings.Split(value, "|")
+	for i := len(parts) - 1; i >= 0; i-- {
+		part := strings.TrimSpace(parts[i])
+		if part != "" {
+			return part
+		}
+	}
+	return ""
+}
+
+func productPerformanceExcelStatus(row *productPerformanceExcelVariant) string {
+	switch {
+	case row.totalQty() > 0 && row.totalUSD() <= 0:
+		return "Ciro/Fiyat Kontrol"
+	case row.totalQty() <= 0 && row.StockQty > 0:
+		return "Stok Riski"
+	case productPerformanceExcelMargin(row.totalUSD(), row.totalQty(), row.CostPriceUSD) < 0:
+		return "Fiyat Baskısı"
+	case productPerformanceExcelProductScore("total", row.totalUSD(), productPerformanceExcelStockTurnover(row.totalQty(), productPerformanceExcelAvgStock(row, "total"), productPerformanceExcelPeriodDays(row, "total")), float64(row.marketCountTotal()), float64(row.CustomerCountTotal), productPerformanceExcelMargin(row.totalUSD(), row.totalQty(), row.CostPriceUSD), productPerformanceExcelPeriodDays(row, "total")) >= 70:
+		return "Yıldız Ürün"
+	default:
+		return productPerformanceExcelBucketLabel(row.PerformanceBucket)
+	}
+}
+
+func productPerformanceExcelRecommendation(row *productPerformanceExcelVariant) string {
+	switch {
+	case row.totalQty() > 0 && row.totalUSD() <= 0:
+		return "Satış adedi var ama USD ciro/fiyat yok. Satış tutarı aktarımı ve döviz dönüşümü kontrol edilmeli."
+	case row.totalQty() <= 0 && row.StockQty > 0:
+		return "Satış yok, stok duruyor. Piyasa/fiyat aksiyonu gerekli."
+	case row.Recommendation != "":
+		return row.Recommendation
+	default:
+		return "Düzenli takip."
+	}
+}
+
+func productPerformanceExcelBucketLabel(value string) string {
+	switch strings.TrimSpace(value) {
+	case "YILDIZ_URUN":
+		return "Yıldız Ürün"
+	case "STOKSUZ_TALEP":
+		return "Stoksuz Talep"
+	case "STOK_RISKI":
+		return "Stok Riski"
+	case "FIYAT_BASKISI":
+		return "Fiyat Baskısı"
+	case "FIYAT_FIRSATI":
+		return "Fiyat Fırsatı"
+	case "MALIYET_YOK":
+		return "Maliyet Yok"
+	case "TAKIP":
+		return "Takip"
+	default:
+		return strings.TrimSpace(value)
+	}
+}
+
+func productPerformanceExcelCleanOptional(value string) string {
+	value = strings.TrimSpace(value)
+	if value == "-" {
+		return ""
+	}
+	return value
+}
+
+func productPerformanceExcelNormalize(value string) string {
+	return strings.ToUpper(strings.TrimSpace(value))
+}
+
+func productPerformanceExcelFirstNonEmpty(values ...string) string {
+	for _, value := range values {
+		value = strings.TrimSpace(value)
+		if value != "" {
+			return value
+		}
+	}
+	return ""
+}
+
+func productPerformanceExcelFirstNonZero(values ...float64) float64 {
+	for _, value := range values {
+		if value != 0 && !math.IsNaN(value) && !math.IsInf(value, 0) {
+			return value
+		}
+	}
+	return 0
+}
+
+func productPerformanceExcelNormalizeCostPair(costPriceUSD, basePriceUSD float64) (float64, float64) {
+	if costPriceUSD > 0 && basePriceUSD > 0 && costPriceUSD > basePriceUSD {
+		return basePriceUSD, costPriceUSD
+	}
+	return costPriceUSD, basePriceUSD
+}
+
+func productPerformanceExcelAvgPrice(salesUSD, qty float64) float64 {
+	if qty <= 0 {
+		return 0
+	}
+	return salesUSD / qty
+}
+
+const productPerformanceExcelStockTurnoverYearDays = 360.0
+
+func productPerformanceExcelAvgStock(row *productPerformanceExcelVariant, suffix string) float64 {
+	switch suffix {
+	case "90d":
+		return productPerformanceExcelFirstNonZero(row.AvgStock90, row.StockQty)
+	case "180d":
+		return productPerformanceExcelFirstNonZero(row.AvgStock180, row.StockQty)
+	case "365d":
+		return productPerformanceExcelFirstNonZero(row.AvgStock365, row.StockQty)
+	case "total":
+		return productPerformanceExcelFirstNonZero(row.AvgStockTotal, row.StockQty)
+	default:
+		return row.StockQty
+	}
+}
+
+func productPerformanceExcelPeriodDays(row *productPerformanceExcelVariant, suffix string) float64 {
+	switch suffix {
+	case "90d":
+		return 90
+	case "180d":
+		return 180
+	case "365d":
+		return 360
+	case "total":
+		end, err := time.Parse("2006-01-02", strings.TrimSpace(row.KpiDate))
+		if err != nil {
+			return 0
+		}
+		start := time.Date(2022, 1, 1, 0, 0, 0, 0, time.UTC)
+		if end.Before(start) {
+			return 0
+		}
+		return end.Sub(start).Hours()/24 + 1
+	default:
+		return 0
+	}
+}
+
+func productPerformanceExcelStockTurnover(salesQty, avgStock, periodDays float64) float64 {
+	if salesQty <= 0 || avgStock <= 0 {
+		return 0
+	}
+	raw := salesQty / avgStock
+	if periodDays <= 0 {
+		return raw
+	}
+	return raw * productPerformanceExcelStockTurnoverYearDays / periodDays
+}
+
+func productPerformanceExcelGrossProfit(salesUSD, qty, unitCost float64) float64 {
+	if qty <= 0 {
+		return 0
+	}
+	return salesUSD - qty*unitCost
+}
+
+func productPerformanceExcelMargin(salesUSD, qty, unitCost float64) float64 {
+	if salesUSD <= 0 {
+		return 0
+	}
+	return productPerformanceExcelGrossProfit(salesUSD, qty, unitCost) / salesUSD
+}
+
+func productPerformanceExcelProductScore(suffix string, salesUSD, stockTurnover, marketCount, customerCount, margin float64, periodDays ...float64) float64 {
+	if salesUSD <= 0 {
+		return 1
+	}
+	days := productPerformanceExcelScorePeriodDays(suffix, periodDays...)
+	revenueScore := productPerformanceExcelRatioScore(salesUSD, productPerformanceExcelProductRevenueTargetForDays(suffix, days))
+	score := 0.30*productPerformanceExcelMarginScore(margin) +
+		0.20*productPerformanceExcelRatioScore(stockTurnover, 4) +
+		0.20*revenueScore +
+		0.05*productPerformanceExcelRatioScore(marketCount, productPerformanceExcelMarketSpreadTarget(suffix)) +
+		0.25*productPerformanceExcelRatioScore(customerCount, productPerformanceExcelCustomerSpreadTargetForDays(suffix, days))
+	return productPerformanceExcelRoundScore(score)
+}
+
+func productPerformanceExcelMarketSpreadTarget(suffix string) float64 {
+	switch suffix {
+	case "90d":
+		return 3
+	case "180d":
+		return 3
+	case "365d":
+		return 6
+	default:
+		return 6
+	}
+}
+
+func productPerformanceExcelCustomerSpreadTarget(suffix string) float64 {
+	return productPerformanceExcelCustomerSpreadTargetForDays(suffix, productPerformanceExcelScorePeriodDays(suffix))
+}
+
+func productPerformanceExcelCustomerSpreadTargetForDays(suffix string, periodDays float64) float64 {
+	switch suffix {
+	case "90d":
+		return 8
+	case "180d":
+		return 20
+	case "365d":
+		return 50
+	default:
+		return 20 * productPerformanceExcelTotalPeriodMultiplier(periodDays)
+	}
+}
+
+func productPerformanceExcelProductRevenueTarget(suffix string) float64 {
+	return productPerformanceExcelProductRevenueTargetForDays(suffix, productPerformanceExcelScorePeriodDays(suffix))
+}
+
+func productPerformanceExcelProductRevenueTargetForDays(suffix string, periodDays float64) float64 {
+	switch suffix {
+	case "180d":
+		return 50000
+	case "365d":
+		return 100000
+	case "total":
+		return 50000 * productPerformanceExcelTotalPeriodMultiplier(periodDays)
+	default:
+		return 25000
+	}
+}
+
+func productPerformanceExcelScorePeriodDays(suffix string, periodDays ...float64) float64 {
+	if len(periodDays) > 0 && periodDays[0] > 0 {
+		return periodDays[0]
+	}
+	switch suffix {
+	case "90d":
+		return 90
+	case "180d":
+		return 180
+	case "365d":
+		return 360
+	case "total":
+		start := time.Date(2022, 1, 1, 0, 0, 0, 0, time.UTC)
+		now := time.Now()
+		if now.Before(start) {
+			return 0
+		}
+		return now.Sub(start).Hours()/24 + 1
+	default:
+		return 0
+	}
+}
+
+func productPerformanceExcelTotalPeriodMultiplier(periodDays float64) float64 {
+	if periodDays <= 0 {
+		periodDays = 180
+	}
+	return math.Max(1, periodDays/180.0)
+}
+
+func productPerformanceExcelMarginScore(margin float64) float64 {
+	if margin < 0 {
+		margin = 0
+	}
+	return productPerformanceExcelRatioScore(margin, 0.45)
+}
+
+func productPerformanceExcelRatioScore(value, target float64) float64 {
+	if target <= 0 || value <= 0 {
+		return 0
+	}
+	score := value * 100 / target
+	if score > 100 {
+		return 100
+	}
+	if score < 0 {
+		return 0
+	}
+	return score
+}
+
+func productPerformanceExcelRoundScore(score float64) float64 {
+	if score < 0 {
+		score = 0
+	}
+	if score > 100 {
+		score = 100
+	}
+	return math.Round(score*10000) / 10000
+}
+
+func productPerformanceExcelFloat(value any) float64 {
+	switch v := value.(type) {
+	case float64:
+		if math.IsNaN(v) || math.IsInf(v, 0) {
+			return 0
+		}
+		return v
+	case float32:
+		return productPerformanceExcelFloat(float64(v))
+	case int:
+		return float64(v)
+	case int64:
+		return float64(v)
+	case int32:
+		return float64(v)
+	case uint:
+		return float64(v)
+	case uint64:
+		return float64(v)
+	case uint32:
+		return float64(v)
+	default:
+		return 0
+	}
+}
+
+func productPerformanceExcelSortedSetLabel(values map[string]bool) string {
+	out := make([]string, 0, len(values))
+	for value := range values {
+		if strings.TrimSpace(value) != "" {
+			out = append(out, value)
+		}
+	}
+	sort.Strings(out)
+	return strings.Join(out, ", ")
+}
+
+func productPerformanceExcelColumnWidth(header, kind string) float64 {
+	if kind == "text" {
+		if strings.Contains(header, "Piyasalar") || strings.Contains(header, "Öneri") {
+			return 34
+		}
+		if len([]rune(header)) > 14 {
+			return 24
+		}
+		return 16
+	}
+	if strings.Contains(header, "Marj") || strings.Contains(header, "Skor") {
+		return 14
+	}
+	return 16
+}
+
+func productPerformanceExcelMaxInt(a, b int) int {
+	if a > b {
+		return a
+	}
+	return b
+}

svc/routes/production_product_costing.go

@@ -158,6 +158,26 @@ func GetProductionNoCostProductsHandler(w http.ResponseWriter, r *http.Request)
 		return
 	}
 
+	if argeDB := db.GetArgeBaggiDB(); argeDB != nil && len(list) > 0 {
+		workOrders := make([]string, 0, len(list))
+		for i := range list {
+			workOrders = append(workOrders, list[i].UrtSiparisNo)
+		}
+		argeCtx, cancelArge := context.WithTimeout(r.Context(), 15*time.Second)
+		totalsByWorkOrder, argeErr := queries.GetArgeBaggiDepotEntryTotals(argeCtx, argeDB, workOrders)
+		cancelArge()
+		if argeErr != nil {
+			log.Printf("[ProductionNoCost] ArgeBAGGI enrichment error: %v", argeErr)
+		} else {
+			for i := range list {
+				totals := totalsByWorkOrder[strings.TrimSpace(list[i].UrtSiparisNo)]
+				list[i].CeketDepoGiris = totals.Ceket
+				list[i].PantolonDepoGiris = totals.Pantolon
+				list[i].YelekDepoGiris = totals.Yelek
+			}
+		}
+	}
+
 	_ = json.NewEncoder(w).Encode(list)
 }
 
@@ -191,6 +211,7 @@ func GetProductionHasCostProductsHandler(w http.ResponseWriter, r *http.Request)
 		var item models.ProductionHasCostProductRow
 		if err := rows.Scan(
 			&item.UretimSekli,
+			&item.UrtSiparisNo,
 			&item.NOnMLNo,
 			&item.UrunKodu,
 			&item.UrunAdi,
@@ -219,6 +240,26 @@ func GetProductionHasCostProductsHandler(w http.ResponseWriter, r *http.Request)
 		return
 	}
 
+	if argeDB := db.GetArgeBaggiDB(); argeDB != nil && len(list) > 0 {
+		workOrders := make([]string, 0, len(list))
+		for i := range list {
+			workOrders = append(workOrders, list[i].UrtSiparisNo)
+		}
+		argeCtx, cancelArge := context.WithTimeout(r.Context(), 15*time.Second)
+		totalsByWorkOrder, argeErr := queries.GetArgeBaggiDepotEntryTotals(argeCtx, argeDB, workOrders)
+		cancelArge()
+		if argeErr != nil {
+			log.Printf("[ProductionHasCost] ArgeBAGGI enrichment error: %v", argeErr)
+		} else {
+			for i := range list {
+				totals := totalsByWorkOrder[strings.TrimSpace(list[i].UrtSiparisNo)]
+				list[i].CeketDepoGiris = totals.Ceket
+				list[i].PantolonDepoGiris = totals.Pantolon
+				list[i].YelekDepoGiris = totals.Yelek
+			}
+		}
+	}
+
 	_ = json.NewEncoder(w).Encode(list)
 }
 
@@ -1427,6 +1468,12 @@ func postProductionProductCostingOnMLSaveHandler(w http.ResponseWriter, r *http.
 	totalUSD := 0.0
 	totalEUR := 0.0
 	for _, r := range req.Detail.Upserts {
+		// The top header in the detail screen only includes rows marked
+		// "Maliyete Dahil". Persist that exact business total to the master
+		// record as well; excluded detail rows must not inflate the cost.
+		if r.MaliyeteDahil != 1 {
+			continue
+		}
 		qty := r.LMiktar
 		if qty < 0 {
 			qty = 0

ui/quasar.config.js

@@ -1,8 +1,20 @@
 // quasar.config.js
 import { defineConfig } from '#q-app/wrappers'
+import { execSync } from 'node:child_process'
+
+function readGitBuildInfo () {
+  try {
+    const commitCount = execSync('git rev-list --count HEAD', { encoding: 'utf8' }).trim()
+    const commitHash = execSync('git rev-parse --short HEAD', { encoding: 'utf8' }).trim()
+    return { version: `v1.0.${commitCount}`, commit: commitHash }
+  } catch {
+    return { version: 'v1.0.0', commit: 'local' }
+  }
+}
 
 export default defineConfig(() => {
   const apiBaseUrl = (process.env.VITE_API_BASE_URL || '/api').trim()
+  const gitBuildInfo = readGitBuildInfo()
 
   return {
 
@@ -36,7 +48,9 @@ export default defineConfig(() => {
     build: {
       vueRouterMode: 'hash',
       env: {
-        VITE_API_BASE_URL: apiBaseUrl
+        VITE_API_BASE_URL: apiBaseUrl,
+        APP_VERSION: gitBuildInfo.version,
+        APP_COMMIT: gitBuildInfo.commit
       },
 
       esbuildTarget: {

ui/src/pages/MainPage.vue

@@ -74,6 +74,10 @@
       </q-form>
     </q-card>
 
+    <div class="login-version" :title="`Commit: ${appCommit}`">
+      Baggi BSS {{ appVersion }}
+    </div>
+
     <!-- 🔐 FORGOT PASSWORD -->
     <q-dialog v-model="forgotOpen" persistent>
       <q-card style="width:420px; max-width:90vw">
@@ -129,6 +133,8 @@ import api from 'src/services/api'
 const router = useRouter()
 const auth = useAuthStore()
 const $q = useQuasar()
+const appVersion = process.env.APP_VERSION || 'v1.0.0'
+const appCommit = process.env.APP_COMMIT || 'local'
 
 const username = ref('')
 const password = ref('')
@@ -266,6 +272,21 @@ async function sendResetMail () {
 .full-width {
   width: 100%;
 }
+
+.login-version {
+  position: absolute;
+  left: 16px;
+  bottom: 12px;
+  z-index: 2;
+  padding: 4px 8px;
+  border-radius: 6px;
+  color: rgba(45, 45, 45, 0.75);
+  background: rgba(255, 255, 255, 0.68);
+  font-size: 12px;
+  font-weight: 600;
+  letter-spacing: 0.2px;
+  user-select: text;
+}
 /* ===============================
    LOGIN INPUT TEXT COLOR (GOLD)
    =============================== */

ui/src/pages/OrderPriceList.vue

@@ -1289,14 +1289,12 @@ function normalizeUploadsPath (storagePath) {
 
 function resolveProductImageUrl (item) {
   if (!item || typeof item !== 'object') return ''
-  const imageId = Number(item.id || item.ID || 0)
-  if (Number.isFinite(imageId) && imageId > 0) return `/api/product-images/${imageId}/content`
+  const contentUrl = toText(item.content_url || item.ContentURL)
+  if (contentUrl) return contentUrl.startsWith('/api/') ? contentUrl : contentUrl
   const thumbUrl = toText(item.thumb_url || item.thumbUrl)
   if (thumbUrl) return thumbUrl
   const fullUrl = toText(item.full_url || item.fullUrl)
   if (fullUrl) return fullUrl
-  const contentUrl = toText(item.content_url || item.ContentURL)
-  if (contentUrl) return contentUrl.startsWith('/api/') ? contentUrl : contentUrl
   const uploadsPath = normalizeUploadsPath(item.storage_path || item.storage)
   if (uploadsPath) return uploadsPath
   const fileName = toText(item.file_name || item.FileName)

ui/src/pages/ProductPerformanceProfitability.vue

@@ -1,4 +1,4 @@
-<template>
+<template>
   <q-page class="product-performance-page q-pa-sm">
     <q-inner-loading :showing="pageBusy">
       <q-spinner-gears size="52px" color="primary" />
@@ -35,6 +35,15 @@
           :disable="pageBusy"
           class="period-selector bg-white q-px-xs q-py-none"
         />
+        <q-btn
+          dense
+          outline
+          color="primary"
+          icon="view_column"
+          :label="detailColumnsHidden ? 'Detay Kolonları Göster' : 'Detay Kolonları Gizle'"
+          :disable="pageBusy"
+          @click="detailColumnsHidden = !detailColumnsHidden"
+        />
         <q-btn-dropdown
           v-model="detailLevelMenuOpen"
           split
@@ -60,6 +69,7 @@
             </div>
           </div>
         </q-btn-dropdown>
+        <q-btn dense outline color="positive" icon="grid_on" label="Excel" :loading="excelExportLoading" :disable="pageBusy || excelExportLoading" @click="exportProductPerformanceExcel" />
         <q-btn dense outline color="secondary" icon="refresh" label="Yenile" :loading="loading" :disable="pageBusy" @click="reload" />
       </div>
     </div>
@@ -89,20 +99,6 @@
       </button>
     </div>
 
-    <div v-if="activeTab === 'product_detail'" class="main-group-bar q-mb-xs">
-      <button
-        v-for="option in detailMainGroupOptions"
-        :key="option.value"
-        type="button"
-        :class="['main-group-button', { active: selectedDetailMainGroup === option.value }]"
-        :disabled="pageBusy"
-        @click="selectedDetailMainGroup = option.value"
-      >
-        <span>{{ option.label }}</span>
-        <small>{{ formatNumber(option.stock_qty, 0) }} stok</small>
-      </button>
-    </div>
-
     <div ref="topScrollbarRef" class="performance-top-scrollbar q-mb-xs">
       <div ref="topScrollbarInnerRef" class="performance-top-scrollbar-inner"></div>
     </div>
@@ -112,9 +108,14 @@
       flat
       bordered
       row-key="row_key"
-      class="performance-table sticky-dim-table sticky-dim-7 bg-white"
+      :class="[
+        'performance-table',
+        'sticky-dim-table',
+        detailColumnsHidden ? 'sticky-dim-4' : 'sticky-dim-7',
+        'bg-white'
+      ]"
       :rows="filteredGeneralRows"
-      :columns="generalColumns"
+      :columns="visibleGeneralColumns"
       :loading="activeTableLoading"
       v-model:pagination="tablePagination.general"
       virtual-scroll
@@ -198,7 +199,7 @@
               v-if="getCachedProductImageUrl(props.row)"
               :src="getCachedProductImageUrl(props.row)"
               class="product-thumb"
-              @error="markProductImageFailed(props.row)"
+              @error="event => markProductImageFailed(props.row, event?.target?.currentSrc)"
               loading="lazy"
               decoding="async"
               alt=""
@@ -311,7 +312,7 @@
               v-if="getCachedProductImageUrl(props.row)"
               :src="getCachedProductImageUrl(props.row)"
               class="product-thumb"
-              @error="markProductImageFailed(props.row)"
+              @error="event => markProductImageFailed(props.row, event?.target?.currentSrc)"
               loading="lazy"
               decoding="async"
               alt=""
@@ -353,7 +354,7 @@
                   v-if="getCachedProductImageUrl(props.row)"
                   :src="getCachedProductImageUrl(props.row)"
                   class="product-thumb"
-                  @error="markProductImageFailed(props.row)"
+                  @error="event => markProductImageFailed(props.row, event?.target?.currentSrc)"
                   loading="lazy"
                   decoding="async"
                   alt=""
@@ -374,7 +375,8 @@
                 dense
                 round
                 size="sm"
-                :icon="isGroupExpanded(props.row.key) ? 'expand_more' : 'chevron_right'"
+                :icon="groupCanExpand(props.row) ? (isGroupExpanded(props.row.key) ? 'expand_more' : 'chevron_right') : 'fiber_manual_record'"
+                :disable="!groupCanExpand(props.row)"
                 @click.stop="toggleGroup(props.row.key)"
               />
               <span class="group-title">{{ groupDisplayLabel(props.row) }}</span>
@@ -390,7 +392,7 @@
                   v-if="getCachedProductImageUrl(props.row)"
                   :src="getCachedProductImageUrl(props.row)"
                   class="product-thumb"
-                  @error="markProductImageFailed(props.row)"
+                  @error="event => markProductImageFailed(props.row, event?.target?.currentSrc)"
                   loading="lazy"
                   decoding="async"
                   alt=""
@@ -529,7 +531,8 @@
                 dense
                 round
                 size="sm"
-                :icon="isGroupExpanded(props.row.key) ? 'expand_more' : 'chevron_right'"
+                :icon="groupCanExpand(props.row) ? (isGroupExpanded(props.row.key) ? 'expand_more' : 'chevron_right') : 'fiber_manual_record'"
+                :disable="!groupCanExpand(props.row)"
                 @click.stop="toggleGroup(props.row.key)"
               />
               <span class="group-title">{{ groupDisplayLabel(props.row) }}</span>
@@ -557,6 +560,7 @@
         'performance-table',
         'product-breakdown-table',
         'bg-white',
+        { 'compact-detail-columns': detailColumnsHidden },
         activeTab === 'product_detail' ? 'product-detail-table' : 'product-summary-table'
       ]"
       :rows="displayProductKpiTableRows"
@@ -652,7 +656,7 @@
                   v-if="getCachedProductImageUrl(props.row)"
                   :src="getCachedProductImageUrl(props.row)"
                   class="product-thumb"
-                  @error="markProductImageFailed(props.row)"
+                  @error="event => markProductImageFailed(props.row, event?.target?.currentSrc)"
                   loading="lazy"
                   decoding="async"
                   alt=""
@@ -673,7 +677,8 @@
                 dense
                 round
                 size="sm"
-                :icon="isGroupExpanded(props.row.key) ? 'expand_more' : 'chevron_right'"
+                :icon="groupCanExpand(props.row) ? (isGroupExpanded(props.row.key) ? 'expand_more' : 'chevron_right') : 'fiber_manual_record'"
+                :disable="!groupCanExpand(props.row)"
                 @click.stop="toggleGroup(props.row.key)"
               />
               <span class="group-title">{{ groupDisplayLabel(props.row) }}</span>
@@ -689,7 +694,7 @@
                   v-if="getCachedProductImageUrl(props.row)"
                   :src="getCachedProductImageUrl(props.row)"
                   class="product-thumb"
-                  @error="markProductImageFailed(props.row)"
+                  @error="event => markProductImageFailed(props.row, event?.target?.currentSrc)"
                   loading="lazy"
                   decoding="async"
                   alt=""
@@ -801,7 +806,7 @@
               v-if="getCachedProductImageUrl(props.row)"
               :src="getCachedProductImageUrl(props.row)"
               class="product-thumb"
-              @error="markProductImageFailed(props.row)"
+              @error="event => markProductImageFailed(props.row, event?.target?.currentSrc)"
               loading="lazy"
               decoding="async"
               alt=""
@@ -839,7 +844,7 @@
                   v-if="getCachedProductImageUrl(props.row)"
                   :src="getCachedProductImageUrl(props.row)"
                   class="product-thumb"
-                  @error="markProductImageFailed(props.row)"
+                  @error="event => markProductImageFailed(props.row, event?.target?.currentSrc)"
                   loading="lazy"
                   decoding="async"
                   alt=""
@@ -860,7 +865,8 @@
                 dense
                 round
                 size="sm"
-                :icon="isGroupExpanded(props.row.key) ? 'expand_more' : 'chevron_right'"
+                :icon="groupCanExpand(props.row) ? (isGroupExpanded(props.row.key) ? 'expand_more' : 'chevron_right') : 'fiber_manual_record'"
+                :disable="!groupCanExpand(props.row)"
                 @click.stop="toggleGroup(props.row.key)"
               />
               <span class="group-title">{{ groupDisplayLabel(props.row) }}</span>
@@ -876,7 +882,7 @@
                   v-if="getCachedProductImageUrl(props.row)"
                   :src="getCachedProductImageUrl(props.row)"
                   class="product-thumb"
-                  @error="markProductImageFailed(props.row)"
+                  @error="event => markProductImageFailed(props.row, event?.target?.currentSrc)"
                   loading="lazy"
                   decoding="async"
                   alt=""
@@ -1127,7 +1133,8 @@
                 dense
                 round
                 size="sm"
-                :icon="isGroupExpanded(props.row.key) ? 'expand_more' : 'chevron_right'"
+                :icon="groupCanExpand(props.row) ? (isGroupExpanded(props.row.key) ? 'expand_more' : 'chevron_right') : 'fiber_manual_record'"
+                :disable="!groupCanExpand(props.row)"
                 @click.stop="toggleGroup(props.row.key)"
               />
               <span class="group-title">{{ groupDisplayLabel(props.row) }}</span>
@@ -1515,7 +1522,7 @@
 <script setup>
 import { computed, nextTick, onBeforeUnmount, onMounted, reactive, ref, watch } from 'vue'
 import { Notify } from 'quasar'
-import api from 'src/services/api'
+import api, { extractApiErrorDetail } from 'src/services/api'
 import { useProductPerformanceStore } from 'src/stores/productPerformanceStore'
 
 const performanceStore = useProductPerformanceStore()
@@ -1539,6 +1546,7 @@ function formatPercent (value) {
 }
 
 const loading = ref(false)
+const excelExportLoading = ref(false)
 const rows = ref([])
 const detailMainGroupOptionRows = ref([])
 const generalRows = ref([])
@@ -1586,6 +1594,7 @@ const detailLoading = ref(false)
 const detailSalesRows = ref([])
 const detailStockSizes = ref([])
 const backendGroupedRows = ref({})
+const backendGroupedFilterOptions = ref({})
 const backendGroupedLoading = ref(false)
 const imagePrimeLoading = ref(false)
 const filterBusy = ref(false)
@@ -1595,6 +1604,7 @@ const loadingNow = ref(0)
 const loadingStage = ref('')
 const generalRowsLoaded = ref(false)
 const detailLevelMenuOpen = ref(false)
+const detailColumnsHidden = ref(false)
 const topScrollbarRef = ref(null)
 const topScrollbarInnerRef = ref(null)
 let backendGroupedTimer = null
@@ -1611,7 +1621,7 @@ const lastManualExpandedGroupKey = ref('')
 const selectedExpandLevelKeysByTab = reactive({
   products: ['urun_ilk_grubu', 'askili_yan', 'kategori'],
   product_detail: ['urun_alt_grubu'],
-  sales_color_yaka_market_customer: ['color_yaka'],
+  sales_color_yaka_market_customer: ['urun_ana_grubu', 'color_yaka'],
   idle: ['urun_ilk_grubu', 'askili_yan', 'kategori'],
   sales_product_country_segment_market_customer: ['urun_ilk_grubu', 'askili_yan', 'kategori'],
   sales_market_customer_product: ['market_key', 'customer_code', 'customer_name', 'urun_ilk_grubu', 'askili_yan'],
@@ -1644,9 +1654,6 @@ const backendGroupedFilterFields = new Set([
   'urun_ana_grubu',
   'urun_alt_grubu',
   'product_code',
-  'item_description',
-  'color_code',
-  'yaka_kodu',
   'color_yaka',
   'market_key',
   'country',
@@ -1655,10 +1662,22 @@ const backendGroupedFilterFields = new Set([
   'customer_name',
   'performance_bucket'
 ])
+const productPerformanceExcelExportFilterFields = new Set([
+  'kategori',
+  'askili_yan',
+  'urun_ilk_grubu',
+  'urun_ana_grubu',
+  'urun_alt_grubu',
+  'product_code',
+  'color_yaka',
+  'color_code',
+  'yaka_kodu',
+  'market_key',
+  'performance_bucket'
+])
 const performanceTabs = [
   { name: 'products', icon: 'dashboard', label: 'Genel Özet KPI' },
-  { name: 'product_detail', icon: 'category', label: 'Detay KPI' },
-  { name: 'sales_color_yaka_market_customer', icon: 'palette', label: 'Renk/Yaka > Piyasa > Müşteri' },
+  { name: 'sales_color_yaka_market_customer', icon: 'palette', label: 'Ürün Ana Grubu > Renk/Yaka > Piyasa > Müşteri' },
   { name: 'idle', icon: 'warning', label: 'Atıl Stok / Maliyet' },
   { name: 'sales_product_country_segment_market_customer', icon: 'account_tree', label: 'Ürün > Ülke > Segment > Piyasa > Müşteri' },
   { name: 'sales_country_segment_market_customer_product', icon: 'public', label: 'Ülke > Segment > Piyasa > Müşteri > Ürün Satış KPI' },
@@ -1766,7 +1785,7 @@ const detailSalesColumns = [
   { name: 'customer_name', label: 'Müşteri', field: 'customer_name', align: 'left', sortable: true },
   { name: 'sales_qty', label: 'Adet', field: row => formatNumber(row.sales_qty, 2), align: 'right', sortable: true },
   { name: 'sales_usd', label: 'USD', field: row => formatMoney(row.sales_usd, 'USD'), align: 'right', sortable: true },
-  { name: 'avg_price_usd', label: 'Ort. USD', field: row => formatMoney(row.avg_price_usd, 'USD'), align: 'right', sortable: true }
+  { name: 'avg_price_usd', label: 'Ort. Satış Fiyatı USD', field: row => formatMoney(row.avg_price_usd, 'USD'), align: 'right', sortable: true }
 ]
 
 const columns = [
@@ -1798,16 +1817,16 @@ const columns = [
   { name: 'stock_days_180d', label: '180G Stok Gün', field: row => formatNumber(row.stock_days_180d, 1), align: 'right', sortable: true },
   { name: 'stock_days_365d', label: '360G Stok Gün', field: row => formatNumber(row.stock_days_365d, 1), align: 'right', sortable: true },
   { name: 'stock_days_total', label: 'Genel Stok Gün', field: row => formatNumber(row.stock_days_total, 1), align: 'right', sortable: true },
-  { name: 'stock_turnover_90d', label: '90G Stok Devir', field: row => formatNumber(row.stock_turnover_90d, 2), align: 'right', sortable: true },
-  { name: 'stock_turnover_180d', label: '180G Stok Devir', field: row => formatNumber(row.stock_turnover_180d, 2), align: 'right', sortable: true },
-  { name: 'stock_turnover_365d', label: '360G Stok Devir', field: row => formatNumber(row.stock_turnover_365d, 2), align: 'right', sortable: true },
-  { name: 'stock_turnover_total', label: 'Genel Stok Devir', field: row => formatNumber(row.stock_turnover_total, 2), align: 'right', sortable: true },
-  { name: 'avg_price_usd_90d', label: 'Ort. USD', field: row => formatMoney(row.avg_price_usd_90d, 'USD'), align: 'right' },
-  { name: 'avg_price_usd_180d', label: '180G Ort. USD', field: row => formatMoney(row.avg_price_usd_180d, 'USD'), align: 'right' },
-  { name: 'avg_price_usd_365d', label: '360G Ort. USD', field: row => formatMoney(row.avg_price_usd_365d, 'USD'), align: 'right' },
-  { name: 'avg_price_usd_total', label: 'Genel Ort. USD', field: row => formatMoney(row.avg_price_usd_total, 'USD'), align: 'right' },
-  { name: 'base_price_usd', label: 'Ort. USD Taban Maliyeti', field: row => formatMoney(row.base_price_usd, 'USD'), align: 'right', sortable: true },
-  { name: 'cost_price_usd', label: 'Ort. USD Çıplak Maliyeti', field: row => formatMoney(row.cost_price_usd, 'USD'), align: 'right', sortable: true },
+  { name: 'stock_turnover_90d', label: '90G Yıllık Stok Devir', field: row => formatNumber(row.stock_turnover_90d, 2), align: 'right', sortable: true },
+  { name: 'stock_turnover_180d', label: '180G Yıllık Stok Devir', field: row => formatNumber(row.stock_turnover_180d, 2), align: 'right', sortable: true },
+  { name: 'stock_turnover_365d', label: '360G Yıllık Stok Devir', field: row => formatNumber(row.stock_turnover_365d, 2), align: 'right', sortable: true },
+  { name: 'stock_turnover_total', label: 'Genel Yıllık Stok Devir', field: row => formatNumber(row.stock_turnover_total, 2), align: 'right', sortable: true },
+  { name: 'avg_price_usd_90d', label: '90G Ort. Satış Fiyatı USD', field: row => formatMoney(row.avg_price_usd_90d, 'USD'), align: 'right' },
+  { name: 'avg_price_usd_180d', label: '180G Ort. Satış Fiyatı USD', field: row => formatMoney(row.avg_price_usd_180d, 'USD'), align: 'right' },
+  { name: 'avg_price_usd_365d', label: '360G Ort. Satış Fiyatı USD', field: row => formatMoney(row.avg_price_usd_365d, 'USD'), align: 'right' },
+  { name: 'avg_price_usd_total', label: 'Genel Ort. Satış Fiyatı USD', field: row => formatMoney(row.avg_price_usd_total, 'USD'), align: 'right' },
+  { name: 'base_price_usd', label: 'USD Taban Maliyeti', field: row => formatMoney(row.base_price_usd, 'USD'), align: 'right', sortable: true },
+  { name: 'cost_price_usd', label: 'USD Çıplak Maliyeti', field: row => formatMoney(row.cost_price_usd, 'USD'), align: 'right', sortable: true },
   { name: 'unit_profit_base_90d', label: '90G P.Başı Taban K/Z', field: row => formatMoney(row.unit_profit_base_90d, 'USD'), align: 'right', sortable: true },
   { name: 'unit_profit_cost_90d', label: '90G P.Başı Çıplak K/Z', field: row => formatMoney(row.unit_profit_cost_90d, 'USD'), align: 'right', sortable: true },
   { name: 'unit_profit_base_180d', label: '180G P.Başı Taban K/Z', field: row => formatMoney(row.unit_profit_base_180d, 'USD'), align: 'right', sortable: true },
@@ -1817,6 +1836,8 @@ const columns = [
   { name: 'gross_profit_usd_90d', label: '90G Toplam K/Z', field: row => formatMoney(row.gross_profit_usd_90d, 'USD'), align: 'right', sortable: true },
   { name: 'gross_profit_usd_180d', label: '180G Toplam K/Z', field: row => formatMoney(row.gross_profit_usd_180d, 'USD'), align: 'right', sortable: true },
   { name: 'gross_profit_usd_total', label: 'Genel Toplam K/Z', field: row => formatMoney(row.gross_profit_usd_total, 'USD'), align: 'right', sortable: true },
+  { name: 'gross_profit_base_usd_total', label: 'Genel Taban K/Z', field: row => formatMoney(row.gross_profit_base_usd_total, 'USD'), align: 'right', sortable: true },
+  { name: 'gross_profit_cost_usd_total', label: 'Genel Çıplak K/Z', field: row => formatMoney(row.gross_profit_cost_usd_total, 'USD'), align: 'right', sortable: true },
   { name: 'gross_margin_base_90d', label: '90G Taban Marj', field: row => formatPercent(row.gross_margin_base_90d), align: 'right', sortable: true },
   { name: 'gross_margin_cost_90d', label: '90G Çıplak Marj', field: row => formatPercent(row.gross_margin_cost_90d), align: 'right', sortable: true },
   { name: 'gross_margin_base_180d', label: '180G Taban Marj', field: row => formatPercent(row.gross_margin_base_180d), align: 'right', sortable: true },
@@ -1829,7 +1850,6 @@ const columns = [
   { name: 'customer_count_total', label: 'Genel Müşteri', field: row => formatNumber(row.customer_count_total, 0), align: 'right', sortable: true },
   { name: 'sales_index_90d', label: 'Piyasa End.', field: row => formatNumber(row.sales_index_90d, 2), align: 'right', sortable: true },
   { name: 'sales_index_total', label: 'Genel Endeks', field: row => formatNumber(row.sales_index_total, 2), align: 'right', sortable: true },
-  { name: 'performance_score', label: 'Skor', field: row => formatNumber(row.performance_score, 2), align: 'right', sortable: true },
   { name: 'performance_bucket', label: 'Durum', field: 'performance_bucket', align: 'left' },
   { name: 'recommendation', label: 'Öneri', field: 'recommendation', align: 'left' }
 ]
@@ -1848,7 +1868,23 @@ const periodOrder = {
   total: 4
 }
 
-const hiddenTableColumns = new Set(['item_description', 'performance_score'])
+const hiddenTableColumns = new Set([
+  'item_description',
+  'performance_score',
+  'gross_profit_usd_total',
+  'invoice_count_90d',
+  'invoice_count_180d',
+  'invoice_count_365d',
+  'invoice_count_total',
+  'sales_index_90d',
+  'sales_index_180d',
+  'sales_index_365d',
+  'sales_index_total',
+  'stock_days_90d',
+  'stock_days_180d',
+  'stock_days_365d',
+  'stock_days_total'
+])
 const dimensionColumnNames = [
   'product_code',
   'color_yaka',
@@ -1988,7 +2024,32 @@ const productColumns = computed(() => orderedMetricColumns(columns.filter(visibl
 const productDetailColumns = computed(() => orderedMetricColumns(columns
   .filter(col => !['urun_ilk_grubu', 'askili_yan', 'kategori'].includes(col.name))
   .filter(visiblePeriodColumn)))
-const activeProductColumns = computed(() => activeTab.value === 'product_detail' ? productDetailColumns.value : productColumns.value)
+const detailColumnNames = new Set([
+  'item_description',
+  'kategori',
+  'askili_yan',
+  'urun_ilk_grubu',
+  'urun_ana_grubu',
+  'urun_alt_grubu',
+  'period_start',
+  'period_end',
+  'country',
+  'customer_segment',
+  'customer_code',
+  'customer_name',
+  'first_sale_date',
+  'last_sale_date',
+  'last_ref_number'
+])
+
+function applyDetailColumnVisibility (sourceColumns) {
+  if (!detailColumnsHidden.value) return sourceColumns
+  return sourceColumns.filter(col => !detailColumnNames.has(col.name))
+}
+
+const visibleProductColumns = computed(() => applyDetailColumnVisibility(productColumns.value))
+const visibleProductDetailColumns = computed(() => applyDetailColumnVisibility(productDetailColumns.value))
+const activeProductColumns = computed(() => activeTab.value === 'product_detail' ? visibleProductDetailColumns.value : visibleProductColumns.value)
 
 const generalColumns = [
   { name: 'image', label: 'Foto', field: 'image', align: 'center' },
@@ -2005,29 +2066,33 @@ const generalColumns = [
   { name: 'period_start', label: 'Başlangıç', field: 'period_start', align: 'left', sortable: true },
   { name: 'period_end', label: 'Bitiş', field: 'period_end', align: 'left', sortable: true },
   { name: 'stock_qty', label: 'Stok', field: row => formatNumber(row.stock_qty, 0), align: 'right', sortable: true },
-  { name: 'sales_qty_total', label: 'Toplam Satış', field: row => formatNumber(row.sales_qty_total, 0), align: 'right', sortable: true },
-  { name: 'sales_usd_total', label: 'Toplam USD', field: row => formatMoney(row.sales_usd_total, 'USD'), align: 'right', sortable: true },
+  { name: 'sales_qty_total', label: 'Toplam Adet', field: row => formatNumber(row.sales_qty_total, 0), align: 'right', sortable: true },
+  { name: 'sales_usd_total', label: 'Toplam Ciro USD', field: row => formatMoney(row.sales_usd_total, 'USD'), align: 'right', sortable: true },
   { name: 'avg_daily_sales_total', label: 'Günlük Ort.', field: row => formatNumber(row.avg_daily_sales_total, 3), align: 'right', sortable: true },
   { name: 'stock_days_total', label: 'Genel Stok Gün', field: row => formatNumber(row.stock_days_total, 1), align: 'right', sortable: true },
-  { name: 'avg_price_usd_total', label: 'Genel Ort. USD', field: row => formatMoney(row.avg_price_usd_total, 'USD'), align: 'right', sortable: true },
+  { name: 'avg_price_usd_total', label: 'Genel Ort. Satış Fiyatı USD', field: row => formatMoney(row.avg_price_usd_total, 'USD'), align: 'right', sortable: true },
   { name: 'base_price_usd', label: 'USD Taban Maliyeti', field: row => formatMoney(row.base_price_usd, 'USD'), align: 'right', sortable: true },
   { name: 'cost_price_usd', label: 'USD Çıplak Maliyeti', field: row => formatMoney(row.cost_price_usd, 'USD'), align: 'right', sortable: true },
   { name: 'unit_profit_base_total', label: 'P.Başı Taban K/Z', field: row => formatMoney(row.unit_profit_base_total, 'USD'), align: 'right', sortable: true },
   { name: 'unit_profit_cost_total', label: 'P.Başı Çıplak K/Z', field: row => formatMoney(row.unit_profit_cost_total, 'USD'), align: 'right', sortable: true },
   { name: 'gross_profit_usd_total', label: 'Toplam K/Z', field: row => formatMoney(row.gross_profit_usd_total, 'USD'), align: 'right', sortable: true },
+  { name: 'gross_profit_base_usd_total', label: 'Taban Toplam K/Z', field: row => formatMoney(row.gross_profit_base_usd_total, 'USD'), align: 'right', sortable: true },
+  { name: 'gross_profit_cost_usd_total', label: 'Çıplak Toplam K/Z', field: row => formatMoney(row.gross_profit_cost_usd_total, 'USD'), align: 'right', sortable: true },
   { name: 'gross_margin_base_total', label: 'Genel Taban Marj', field: row => formatPercent(row.gross_margin_base_total), align: 'right', sortable: true },
   { name: 'gross_margin_cost_total', label: 'Genel Çıplak Marj', field: row => formatPercent(row.gross_margin_cost_total), align: 'right', sortable: true },
   { name: 'market_count_total', label: 'Toplam Piyasa', field: row => formatNumber(row.market_count_total, 0), align: 'right', sortable: true },
   { name: 'customer_count_total', label: 'Toplam Müşteri', field: row => formatNumber(row.customer_count_total, 0), align: 'right', sortable: true },
   { name: 'invoice_count_total', label: 'Fatura', field: row => formatNumber(row.invoice_count_total, 0), align: 'right', sortable: true },
   { name: 'sales_index_total', label: 'Genel Endeks', field: row => formatNumber(row.sales_index_total, 2), align: 'right', sortable: true },
-  { name: 'performance_score', label: 'Genel Skor', field: row => formatNumber(row.performance_score, 2), align: 'right', sortable: true },
+  { name: 'performance_score_total', label: 'Genel Skor', field: row => formatNumber(row.performance_score_total ?? row.performance_score, 2), align: 'right', sortable: true },
   { name: 'performance_bucket', label: 'Durum', field: 'performance_bucket', align: 'left', sortable: true },
   { name: 'first_sale_date', label: 'İlk Satış', field: 'first_sale_date', align: 'left', sortable: true },
   { name: 'last_sale_date', label: 'Son Satış', field: 'last_sale_date', align: 'left', sortable: true },
   { name: 'recommendation', label: 'Öneri', field: 'recommendation', align: 'left' }
 ]
 
+const visibleGeneralColumns = computed(() => applyDetailColumnVisibility(generalColumns))
+
 const orderAnalysisColumns = [
   { name: 'image', label: 'Foto', field: 'image', align: 'center' },
   { name: 'product_code', label: 'Ürün', field: 'product_code', align: 'left', sortable: true },
@@ -2070,7 +2135,7 @@ const orderGroupColumns = [
   { name: 'product_count', label: 'Ürün', field: row => formatNumber(row.product_count, 0), align: 'right', sortable: true },
   { name: 'order_qty', label: 'Açık Sipariş', field: row => formatNumber(row.order_qty, 0), align: 'right', sortable: true },
   { name: 'order_usd', label: 'Sipariş USD', field: row => formatMoney(row.order_usd, 'USD'), align: 'right', sortable: true },
-  { name: 'avg_order_price_usd', label: 'Ort. USD', field: row => formatMoney(row.avg_order_price_usd, 'USD'), align: 'right', sortable: true },
+  { name: 'avg_order_price_usd', label: 'Ort. Sipariş Fiyatı USD', field: row => formatMoney(row.avg_order_price_usd, 'USD'), align: 'right', sortable: true },
   { name: 'base_cost_usd', label: 'Taban Maliyet USD', field: row => formatMoney(row.base_cost_usd, 'USD'), align: 'right', sortable: true },
   { name: 'cost_amount_usd', label: 'Çıplak Maliyet USD', field: row => formatMoney(row.cost_amount_usd, 'USD'), align: 'right', sortable: true },
   { name: 'expected_profit_base_usd', label: 'Brüt K/Z', field: row => formatMoney(row.expected_profit_base_usd, 'USD'), align: 'right', sortable: true },
@@ -2104,7 +2169,7 @@ const orderProductCustomerColumns = [
   { name: 'yaka_kodu', label: 'Yaka', field: 'yaka_kodu', align: 'left', sortable: true },
   { name: 'order_qty', label: 'Açık Sipariş', field: row => formatNumber(row.order_qty, 0), align: 'right', sortable: true },
   { name: 'order_usd', label: 'Sipariş USD', field: row => formatMoney(row.order_usd, 'USD'), align: 'right', sortable: true },
-  { name: 'avg_order_price_usd', label: 'Ort. USD', field: row => formatMoney(row.avg_order_price_usd, 'USD'), align: 'right', sortable: true },
+  { name: 'avg_order_price_usd', label: 'Ort. Sipariş Fiyatı USD', field: row => formatMoney(row.avg_order_price_usd, 'USD'), align: 'right', sortable: true },
   { name: 'stock_qty', label: 'Stok', field: row => formatNumber(row.stock_qty, 0), align: 'right', sortable: true },
   { name: 'net_stock_after_order', label: 'Stok - Sipariş', field: 'net_stock_after_order', align: 'right', sortable: true },
   { name: 'base_price_usd', label: 'Taban USD', field: row => formatMoney(row.base_price_usd, 'USD'), align: 'right', sortable: true },
@@ -2138,7 +2203,7 @@ const orderMarketDetailColumns = [
   { name: 'due_date', label: 'Termin', field: 'due_date', align: 'left', sortable: true },
   { name: 'order_qty', label: 'Adet', field: row => formatNumber(row.order_qty, 0), align: 'right', sortable: true },
   { name: 'order_usd', label: 'USD', field: row => formatMoney(row.order_usd, 'USD'), align: 'right', sortable: true },
-  { name: 'avg_order_price_usd', label: 'Ort. USD', field: row => formatMoney(row.avg_order_price_usd, 'USD'), align: 'right', sortable: true },
+  { name: 'avg_order_price_usd', label: 'Ort. Sipariş Fiyatı USD', field: row => formatMoney(row.avg_order_price_usd, 'USD'), align: 'right', sortable: true },
   { name: 'stock_qty', label: 'Stok', field: row => formatNumber(row.stock_qty, 0), align: 'right', sortable: true },
   { name: 'net_stock_after_order', label: 'Stok - Sipariş', field: 'net_stock_after_order', align: 'right', sortable: true },
   { name: 'expected_profit_base_usd', label: 'Brüt K/Z', field: row => formatMoney(row.expected_profit_base_usd, 'USD'), align: 'right', sortable: true },
@@ -2167,7 +2232,7 @@ const idleColumns = [
   { name: 'idle_cost_usd', label: 'Stok Maliyeti USD', field: 'idle_cost_usd', align: 'right', sortable: true },
   { name: 'sales_qty_90d', label: '90G Satış', field: row => formatNumber(row.sales_qty_90d, 0), align: 'right', sortable: true },
   { name: 'stock_days_90d', label: 'Stok Gün', field: row => formatNumber(row.stock_days_90d, 1), align: 'right', sortable: true },
-  { name: 'stock_turnover_90d', label: '90G Stok Devir', field: row => formatNumber(row.stock_turnover_90d, 2), align: 'right', sortable: true },
+  { name: 'stock_turnover_90d', label: '90G Yıllık Stok Devir', field: row => formatNumber(row.stock_turnover_90d, 2), align: 'right', sortable: true },
   { name: 'performance_bucket', label: 'Durum', field: 'performance_bucket', align: 'left' },
   { name: 'recommendation', label: 'Öneri', field: 'recommendation', align: 'left' }
 ]
@@ -2198,7 +2263,7 @@ const countryColumns = [
   { name: 'product_count', label: 'Ürün', field: row => formatNumber(row.product_count, 0), align: 'right', sortable: true },
   { name: 'sales_qty_90d', label: '90G Adet', field: row => formatNumber(row.sales_qty_90d, 0), align: 'right', sortable: true },
   { name: 'sales_usd_90d', label: '90G USD', field: row => formatMoney(row.sales_usd_90d, 'USD'), align: 'right', sortable: true },
-  { name: 'avg_price_usd_90d', label: 'Ort. USD', field: row => formatMoney(row.avg_price_usd_90d, 'USD'), align: 'right', sortable: true },
+  { name: 'avg_price_usd_90d', label: 'Ort. Satış Fiyatı USD', field: row => formatMoney(row.avg_price_usd_90d, 'USD'), align: 'right', sortable: true },
   { name: 'customer_count_90d', label: 'Müşteri', field: row => formatNumber(row.customer_count_90d, 0), align: 'right', sortable: true },
   { name: 'invoice_count_90d', label: 'Fatura', field: row => formatNumber(row.invoice_count_90d, 0), align: 'right', sortable: true },
   { name: 'sales_qty_365d', label: '360G Adet', field: row => formatNumber(row.sales_qty_365d, 0), align: 'right', sortable: true },
@@ -2214,7 +2279,7 @@ const customerColumns = [
   { name: 'product_count', label: 'Ürün', field: row => formatNumber(row.product_count, 0), align: 'right', sortable: true },
   { name: 'sales_qty_90d', label: '90G Adet', field: row => formatNumber(row.sales_qty_90d, 0), align: 'right', sortable: true },
   { name: 'sales_usd_90d', label: '90G USD', field: 'sales_usd_90d', align: 'right', sortable: true },
-  { name: 'avg_price_usd_90d', label: 'Ort. USD', field: 'avg_price_usd_90d', align: 'right', sortable: true },
+  { name: 'avg_price_usd_90d', label: 'Ort. Satış Fiyatı USD', field: 'avg_price_usd_90d', align: 'right', sortable: true },
   { name: 'customer_score_90d', label: '90G Müşteri Skor', field: row => formatNumber(row.customer_score_90d, 2), align: 'right', sortable: true },
   { name: 'base_price_usd_90d', label: '90G Taban', field: row => formatMoney(row.base_price_usd_90d, 'USD'), align: 'right', sortable: true },
   { name: 'cost_price_usd_90d', label: '90G Çıplak', field: row => formatMoney(row.cost_price_usd_90d, 'USD'), align: 'right', sortable: true },
@@ -2249,14 +2314,14 @@ const salesBreakdownColumns = [
   { name: 'invoice_count_90d', label: '90G Fatura', field: row => formatNumber(row.invoice_count_90d, 0), align: 'right', sortable: true },
   { name: 'sales_qty_90d', label: '90G Adet', field: row => formatNumber(row.sales_qty_90d, 0), align: 'right', sortable: true },
   { name: 'sales_usd_90d', label: '90G USD', field: 'sales_usd_90d', align: 'right', sortable: true },
-  { name: 'avg_price_usd_90d', label: 'Ort. USD', field: 'avg_price_usd_90d', align: 'right', sortable: true },
-  { name: 'stock_turnover_90d', label: '90G Stok Devir', field: row => formatNumber(row.stock_turnover_90d, 2), align: 'right', sortable: true },
+  { name: 'avg_price_usd_90d', label: '90G Ort. Satış Fiyatı USD', field: 'avg_price_usd_90d', align: 'right', sortable: true },
+  { name: 'stock_turnover_90d', label: '90G Yıllık Stok Devir', field: row => formatNumber(row.stock_turnover_90d, 2), align: 'right', sortable: true },
   { name: 'customer_count_180d', label: '180G Müşteri', field: row => formatNumber(row.customer_count_180d, 0), align: 'right', sortable: true },
   { name: 'invoice_count_180d', label: '180G Fatura', field: row => formatNumber(row.invoice_count_180d, 0), align: 'right', sortable: true },
   { name: 'sales_qty_180d', label: '180G Adet', field: row => formatNumber(row.sales_qty_180d, 0), align: 'right', sortable: true },
   { name: 'sales_usd_180d', label: '180G USD', field: row => formatMoney(row.sales_usd_180d, 'USD'), align: 'right', sortable: true },
-  { name: 'avg_price_usd_180d', label: '180G Ort. USD', field: row => formatMoney(row.avg_price_usd_180d, 'USD'), align: 'right', sortable: true },
-  { name: 'stock_turnover_180d', label: '180G Stok Devir', field: row => formatNumber(row.stock_turnover_180d, 2), align: 'right', sortable: true },
+  { name: 'avg_price_usd_180d', label: '180G Ort. Satış Fiyatı USD', field: row => formatMoney(row.avg_price_usd_180d, 'USD'), align: 'right', sortable: true },
+  { name: 'stock_turnover_180d', label: '180G Yıllık Stok Devir', field: row => formatNumber(row.stock_turnover_180d, 2), align: 'right', sortable: true },
   { name: 'base_price_usd_180d', label: '180G Taban', field: row => formatMoney(row.base_price_usd_180d, 'USD'), align: 'right', sortable: true },
   { name: 'cost_price_usd_180d', label: '180G Çıplak', field: row => formatMoney(row.cost_price_usd_180d, 'USD'), align: 'right', sortable: true },
   { name: 'gross_profit_base_usd_180d', label: '180G Taban K/Z', field: row => formatMoney(row.gross_profit_base_usd_180d, 'USD'), align: 'right', sortable: true },
@@ -2266,8 +2331,8 @@ const salesBreakdownColumns = [
   { name: 'customer_score_180d', label: '180G Müşteri Skor', field: row => formatNumber(row.customer_score_180d, 2), align: 'right', sortable: true },
   { name: 'sales_qty_365d', label: '360G Adet', field: row => formatNumber(row.sales_qty_365d, 0), align: 'right', sortable: true },
   { name: 'sales_usd_365d', label: '360G USD', field: row => formatMoney(row.sales_usd_365d, 'USD'), align: 'right', sortable: true },
-  { name: 'avg_price_usd_365d', label: '360G Ort. USD', field: row => formatMoney(row.avg_price_usd_365d, 'USD'), align: 'right', sortable: true },
-  { name: 'stock_turnover_365d', label: '360G Stok Devir', field: row => formatNumber(row.stock_turnover_365d, 2), align: 'right', sortable: true },
+  { name: 'avg_price_usd_365d', label: '360G Ort. Satış Fiyatı USD', field: row => formatMoney(row.avg_price_usd_365d, 'USD'), align: 'right', sortable: true },
+  { name: 'stock_turnover_365d', label: '360G Yıllık Stok Devir', field: row => formatNumber(row.stock_turnover_365d, 2), align: 'right', sortable: true },
   { name: 'base_price_usd_365d', label: '360G Taban', field: row => formatMoney(row.base_price_usd_365d, 'USD'), align: 'right', sortable: true },
   { name: 'cost_price_usd_365d', label: '360G Çıplak', field: row => formatMoney(row.cost_price_usd_365d, 'USD'), align: 'right', sortable: true },
   { name: 'gross_profit_base_usd_365d', label: '360G Taban K/Z', field: row => formatMoney(row.gross_profit_base_usd_365d, 'USD'), align: 'right', sortable: true },
@@ -2279,8 +2344,8 @@ const salesBreakdownColumns = [
   { name: 'invoice_count_total', label: 'Genel Fatura', field: row => formatNumber(row.invoice_count_total, 0), align: 'right', sortable: true },
   { name: 'sales_qty_total', label: 'Genel Adet', field: row => formatNumber(row.sales_qty_total, 0), align: 'right', sortable: true },
   { name: 'sales_usd_total', label: 'Genel USD', field: row => formatMoney(row.sales_usd_total, 'USD'), align: 'right', sortable: true },
-  { name: 'avg_price_usd_total', label: 'Genel Ort. USD', field: row => formatMoney(row.avg_price_usd_total, 'USD'), align: 'right', sortable: true },
-  { name: 'stock_turnover_total', label: 'Genel Stok Devir', field: row => formatNumber(row.stock_turnover_total, 2), align: 'right', sortable: true },
+  { name: 'avg_price_usd_total', label: 'Genel Ort. Satış Fiyatı USD', field: row => formatMoney(row.avg_price_usd_total, 'USD'), align: 'right', sortable: true },
+  { name: 'stock_turnover_total', label: 'Genel Yıllık Stok Devir', field: row => formatNumber(row.stock_turnover_total, 2), align: 'right', sortable: true },
   { name: 'base_price_usd_total', label: 'Genel Taban', field: row => formatMoney(row.base_price_usd_total, 'USD'), align: 'right', sortable: true },
   { name: 'cost_price_usd_total', label: 'Genel Çıplak', field: row => formatMoney(row.cost_price_usd_total, 'USD'), align: 'right', sortable: true },
   { name: 'gross_profit_base_usd_total', label: 'Genel Taban K/Z', field: row => formatMoney(row.gross_profit_base_usd_total, 'USD'), align: 'right', sortable: true },
@@ -2289,7 +2354,6 @@ const salesBreakdownColumns = [
   { name: 'gross_margin_cost_total', label: 'Genel Çıplak Marj', field: row => formatPercent(row.gross_margin_cost_total), align: 'right', sortable: true },
   { name: 'customer_score_total', label: 'Genel Müşteri Skor', field: row => formatNumber(row.customer_score_total, 2), align: 'right', sortable: true },
   { name: 'sales_index_90d', label: 'Endeks', field: row => formatNumber(row.sales_index_90d, 2), align: 'right', sortable: true },
-  { name: 'performance_score', label: 'Skor', field: row => formatNumber(row.performance_score, 2), align: 'right', sortable: true },
   { name: 'performance_bucket', label: 'Durum', field: 'performance_bucket', align: 'left', sortable: true },
   { name: 'last_sale_date', label: 'Son Satış', field: 'last_sale_date', align: 'left', sortable: true },
   { name: 'recommendation', label: 'Öneri', field: 'recommendation', align: 'left' }
@@ -2309,6 +2373,108 @@ const customerPeriodScoreColumns = [
   { name: 'customer_score_total', label: 'Genel Müşteri Skor', field: row => formatNumber(row.customer_score_total, 2), align: 'right', sortable: true }
 ]
 
+const metricLabelOverrides = {
+  stock_qty: 'Toplam Stok',
+  sales_qty: 'Toplam Adet',
+  sales_qty_90d: '90G Toplam Adet',
+  sales_qty_180d: '180G Toplam Adet',
+  sales_qty_365d: '360G Toplam Adet',
+  sales_qty_total: 'Genel Toplam Adet',
+  sales_usd: 'Toplam Ciro USD',
+  sales_usd_90d: '90G Toplam Ciro USD',
+  sales_usd_180d: '180G Toplam Ciro USD',
+  sales_usd_365d: '360G Toplam Ciro USD',
+  sales_usd_total: 'Genel Toplam Ciro USD',
+  avg_price_usd: 'Ort. Satış Fiyatı USD',
+  avg_price_usd_90d: '90G Ort. Satış Fiyatı USD',
+  avg_price_usd_180d: '180G Ort. Satış Fiyatı USD',
+  avg_price_usd_365d: '360G Ort. Satış Fiyatı USD',
+  avg_price_usd_total: 'Genel Ort. Satış Fiyatı USD',
+  base_price_usd: 'Taban Maliyet USD',
+  cost_price_usd: 'Çıplak Maliyet USD',
+  base_price_usd_90d: '90G Taban Maliyet USD',
+  cost_price_usd_90d: '90G Çıplak Maliyet USD',
+  base_price_usd_180d: '180G Taban Maliyet USD',
+  cost_price_usd_180d: '180G Çıplak Maliyet USD',
+  base_price_usd_365d: '360G Taban Maliyet USD',
+  cost_price_usd_365d: '360G Çıplak Maliyet USD',
+  base_price_usd_total: 'Genel Taban Maliyet USD',
+  cost_price_usd_total: 'Genel Çıplak Maliyet USD',
+  unit_profit_base_90d: '90G Birim Taban K/Z USD',
+  unit_profit_cost_90d: '90G Birim Çıplak K/Z USD',
+  unit_profit_base_180d: '180G Birim Taban K/Z USD',
+  unit_profit_cost_180d: '180G Birim Çıplak K/Z USD',
+  unit_profit_base_total: 'Genel Birim Taban K/Z USD',
+  unit_profit_cost_total: 'Genel Birim Çıplak K/Z USD',
+  gross_profit_usd_90d: '90G Toplam K/Z USD',
+  gross_profit_usd_180d: '180G Toplam K/Z USD',
+  gross_profit_usd_total: 'Genel Toplam K/Z USD',
+  gross_profit_base_usd_90d: '90G Taban Toplam K/Z USD',
+  gross_profit_cost_usd_90d: '90G Çıplak Toplam K/Z USD',
+  gross_profit_base_usd_180d: '180G Taban Toplam K/Z USD',
+  gross_profit_cost_usd_180d: '180G Çıplak Toplam K/Z USD',
+  gross_profit_base_usd_365d: '360G Taban Toplam K/Z USD',
+  gross_profit_cost_usd_365d: '360G Çıplak Toplam K/Z USD',
+  gross_profit_base_usd_total: 'Genel Taban Toplam K/Z USD',
+  gross_profit_cost_usd_total: 'Genel Çıplak Toplam K/Z USD',
+  gross_margin_base_90d: '90G Taban Marj',
+  gross_margin_cost_90d: '90G Çıplak Marj',
+  gross_margin_base_180d: '180G Taban Marj',
+  gross_margin_cost_180d: '180G Çıplak Marj',
+  gross_margin_base_365d: '360G Taban Marj',
+  gross_margin_cost_365d: '360G Çıplak Marj',
+  gross_margin_base_total: 'Genel Taban Marj',
+  gross_margin_cost_total: 'Genel Çıplak Marj',
+  performance_score_90d: '90G Ürün Skor',
+  performance_score_180d: '180G Ürün Skor',
+  performance_score_365d: '360G Ürün Skor',
+  performance_score_total: 'Genel Ürün Skor',
+  customer_score_90d: '90G Müşteri Skor',
+  customer_score_180d: '180G Müşteri Skor',
+  customer_score_365d: '360G Müşteri Skor',
+  customer_score_total: 'Genel Müşteri Skor',
+  market_count_90d: '90G Tekil Piyasa',
+  customer_count_90d: '90G Tekil Müşteri',
+  market_count_total: 'Genel Tekil Piyasa',
+  customer_count_total: 'Genel Tekil Müşteri',
+  stock_turnover_90d: '90G Yıllık Stok Devir',
+  stock_turnover_180d: '180G Yıllık Stok Devir',
+  stock_turnover_365d: '360G Yıllık Stok Devir',
+  stock_turnover_total: 'Genel Yıllık Stok Devir',
+  sales_index_90d: '90G Endeks',
+  sales_index_total: 'Genel Endeks',
+  stock_days_90d: '90G Stok Gün',
+  stock_days_180d: '180G Stok Gün',
+  stock_days_365d: '360G Stok Gün',
+  stock_days_total: 'Genel Stok Gün',
+  avg_daily_sales_total: 'Genel Günlük Ort. Adet'
+}
+
+function applyMetricLabelOverrides (...columnGroups) {
+  for (const group of columnGroups) {
+    for (const col of group || []) {
+      if (metricLabelOverrides[col?.name]) col.label = metricLabelOverrides[col.name]
+    }
+  }
+}
+
+applyMetricLabelOverrides(
+  detailSalesColumns,
+  columns,
+  generalColumns,
+  orderAnalysisColumns,
+  orderGroupColumns,
+  orderProductCustomerColumns,
+  orderMarketDetailColumns,
+  idleColumns,
+  marketColumns,
+  countryColumns,
+  customerColumns,
+  salesBreakdownColumns,
+  productPeriodScoreColumns,
+  customerPeriodScoreColumns
+)
+
 function ensureColumns (targetColumns, columnsToEnsure) {
   const existing = new Set(targetColumns.map(col => col.name))
   for (const col of columnsToEnsure) {
@@ -2372,7 +2538,6 @@ function ensureColorYakaColumn (targetColumns) {
 ].forEach(target => ensureColumns(target, customerPeriodScoreColumns))
 
 ;[
-  generalColumns,
   orderAnalysisColumns,
   orderGroupColumns,
   orderProductCustomerColumns,
@@ -2498,13 +2663,16 @@ const visibleOrderAnalysisColumns = computed(() => {
 function performanceCardsForRow (row) {
   const source = row || {}
   return [
-    { key: 'score', label: 'Skor', value: formatNumber(source.performance_score, 2) },
+    { key: 'score90', label: '90G Skor', value: formatNumber(source.performance_score_90d ?? source.performance_score, 2) },
+    { key: 'score180', label: '180G Skor', value: formatNumber(source.performance_score_180d, 2) },
+    { key: 'score360', label: '360G Skor', value: formatNumber(source.performance_score_365d, 2) },
+    { key: 'scoreTotal', label: 'Genel Skor', value: formatNumber(source.performance_score_total ?? source.performance_score, 2) },
     { key: 'stock', label: 'Stok', value: formatNumber(source.stock_qty, 0) },
     { key: 'sales90', label: '90G Satış', value: formatNumber(source.sales_qty_90d, 0) },
     { key: 'sales180', label: '180G Satış', value: formatNumber(source.sales_qty_180d, 0) },
     { key: 'markets', label: '90G Piyasa', value: formatNumber(source.market_count_90d, 0) },
     { key: 'customers', label: '90G Müşteri', value: formatNumber(source.customer_count_90d, 0) },
-    { key: 'avg', label: 'Ort. USD Satış', value: formatMoney(source.avg_price_usd_90d, 'USD') },
+    { key: 'avg', label: 'Ort. Satış Fiyatı', value: formatMoney(source.avg_price_usd_90d, 'USD') },
     { key: 'base', label: 'Taban Maliyet', value: formatMoney(source.base_price_usd, 'USD') },
     { key: 'cost', label: 'Çıplak Maliyet', value: formatMoney(source.cost_price_usd, 'USD') },
     { key: 'profitBase', label: 'P.Başı Taban K/Z', value: formatMoney(source.unit_profit_base_90d, 'USD') },
@@ -2559,18 +2727,13 @@ const tabGroupLevels = {
     { key: 'market_key', label: 'Piyasa' }
   ],
   sales_color_yaka_market_customer: [
-    { key: 'color_yaka', label: 'Renk/Yaka' },
-    { key: 'urun_ilk_grubu', label: 'Ürün İlk Grubu' },
-    { key: 'askili_yan', label: 'Askılı/Yan' },
-    { key: 'kategori', label: 'Kategori' },
     { key: 'urun_ana_grubu', label: 'Ürün Ana Grubu' },
-    { key: 'urun_alt_grubu', label: 'Ürün Alt Grubu' },
-    { key: 'product_code', label: 'Ürün' },
-    { key: 'country', label: 'Ülke' },
+    { key: 'color_yaka', label: 'Renk/Yaka' },
     { key: 'market_key', label: 'Piyasa' },
-    { key: 'customer_segment', label: 'Segment' },
     { key: 'customer_code', label: 'Müşteri Kodu' },
-    { key: 'customer_name', label: 'Müşteri' }
+    { key: 'customer_name', label: 'Müşteri' },
+    { key: 'urun_alt_grubu', label: 'Ürün Alt Grubu' },
+    { key: 'product_code', label: 'Ürün' }
   ],
   idle: [
     { key: 'urun_ilk_grubu', label: 'Ürün İlk Grubu' },
@@ -2725,8 +2888,22 @@ const columnFilterOptionMap = computed(() => {
   const source = tableFilterSource(tableKey)
   if (!source) return out
   out[tableKey] = {}
+  const preparedOptionEntry = backendGroupedSupportedTab(tableKey)
+    ? backendGroupedFilterOptions.value[tableKey]
+    : null
+  const preparedOptions = preparedOptionEntry?._key === backendGroupedFilterOptionsKey(tableKey)
+    ? preparedOptionEntry.options || {}
+    : {}
   for (const col of source.columns) {
     if (!isColumnFilterable(col.name)) continue
+    if (backendGroupedSupportedTab(tableKey) && backendGroupedFilterFields.has(col.name)) {
+      out[tableKey][col.name] = preparedOptions[col.name] || []
+      continue
+    }
+    if (backendGroupedSupportedTab(tableKey) && !backendGroupedFilterFields.has(col.name)) {
+      out[tableKey][col.name] = []
+      continue
+    }
     const seen = new Map()
     for (const row of source.rows) {
       const value = columnFilterValue(row, col)
@@ -2896,9 +3073,88 @@ function filterSourceRowsForTab (tabKey, fallbackRows) {
   return fallbackRows
 }
 
+function backendGroupedFilterOptionParams (tabKey) {
+  const columns = filterColumnsForTableKey(tabKey)
+  const fields = columns
+    .map(col => col?.name || '')
+    .filter(name => backendGroupedFilterFields.has(name))
+  const params = {
+    mode: tabKey,
+    groupLevels: (tabGroupLevels[tabKey] || groupLevels).map(level => level.key),
+    fields,
+    limit: 50000
+  }
+  if (tabKey === 'product_detail') params.urunAnaGrubu = selectedDetailMainGroup.value
+  return params
+}
+
+function backendGroupedFilterOptionsKey (tabKey, params = backendGroupedFilterOptionParams(tabKey)) {
+  return JSON.stringify({
+    tabKey,
+    mainGroup: params.urunAnaGrubu || '',
+    groupLevels: params.groupLevels || [],
+    fields: params.fields || []
+  })
+}
+
+async function ensureBackendGroupedFilterOptions (tabKey = activeTab.value, force = false) {
+  if (!backendGroupedSupportedTab(tabKey)) return
+  if (tabKey === 'product_detail' && !selectedDetailMainGroup.value) return
+  const params = backendGroupedFilterOptionParams(tabKey)
+  if (!params.fields.length) return
+  const key = backendGroupedFilterOptionsKey(tabKey, params)
+  if (!force && backendGroupedFilterOptions.value[tabKey]?._key === key) return
+  try {
+    const data = await performanceStore.fetchGroupedFilterOptions(params, { force })
+    if (backendGroupedFilterOptionsKey(tabKey) !== key) return
+    backendGroupedFilterOptions.value = {
+      ...backendGroupedFilterOptions.value,
+      [tabKey]: {
+        _key: key,
+        options: normalizeBackendGroupedFilterOptions(data)
+      }
+    }
+  } catch (err) {
+    console.warn('product performance grouped filter options failed', err)
+  }
+}
+
+function normalizeBackendGroupedFilterOptions (data) {
+  const out = {}
+  const source = data && typeof data === 'object' ? data : {}
+  for (const [field, values] of Object.entries(source)) {
+    if (!Array.isArray(values)) continue
+    const seen = new Map()
+    for (const raw of values) {
+      const value = normalizeBackendFilterValue(field, raw)
+      if (!value || seen.has(value)) continue
+      seen.set(value, {
+        value,
+        label: backendFilterOptionLabel(field, value)
+      })
+    }
+    out[field] = Array.from(seen.values())
+      .sort((a, b) => String(a.label).localeCompare(String(b.label), 'tr', { numeric: true }))
+  }
+  return out
+}
+
+function normalizeBackendFilterValue (name, value) {
+  const text = String(value || '').trim()
+  if (name === 'performance_bucket') {
+    return bucketOptions.find(option => option.value === text || option.label === text)?.value || text
+  }
+  return text
+}
+
+function backendFilterOptionLabel (name, value) {
+  if (name === 'performance_bucket') return bucketLabel(value)
+  return String(value || '').trim()
+}
+
 function backendGroupedFilterState (tabKey) {
   const out = {}
-  const columns = columnsForTableKey(tabKey)
+  const columns = filterColumnsForTableKey(tabKey)
   for (const col of columns) {
     const name = col?.name || ''
     if (!isColumnFilterable(name)) continue
@@ -2907,7 +3163,7 @@ function backendGroupedFilterState (tabKey) {
     if (!backendGroupedFilterFields.has(name)) {
       continue
     }
-    out[name] = selected.map(value => String(value || '').trim()).filter(Boolean)
+    out[name] = selected.map(value => normalizeBackendFilterValue(name, value)).filter(Boolean)
   }
   return { filters: out, unsupported: false }
 }
@@ -2918,7 +3174,7 @@ function shouldUseBackendGroupedRows (tabKey) {
 
 function tableFilterSource (tableKey) {
   if (backendGroupedSupportedTab(tableKey)) {
-    return { rows: backendGroupedRows.value[tableKey] || [], columns: columnsForTableKey(tableKey) }
+    return { rows: backendGroupedRows.value[tableKey] || [], columns: filterColumnsForTableKey(tableKey) }
   }
   if (tableKey === 'general') return { rows: generalRows.value, columns: generalColumns }
   if (tableKey === 'markets') return { rows: marketRows.value, columns: marketColumns }
@@ -2928,6 +3184,20 @@ function tableFilterSource (tableKey) {
 }
 
 function columnsForTableKey (tabKey) {
+  if (tabKey === 'products') return visibleProductColumns.value
+  if (tabKey === 'product_detail') return visibleProductDetailColumns.value
+  if (tabKey === 'general') return visibleGeneralColumns.value
+  if (tabKey === 'order_product_customers') return orderProductCustomerColumns
+  if (tabKey === 'order_market_details') return orderMarketDetailColumns
+  if (tabKey === 'idle') return idleColumns
+  if (tabKey === 'markets') return marketColumns
+  if (tabKey === 'countries') return countryColumns
+  if (tabKey === 'customers') return customerColumns
+  if (salesBreakdownTabKeys.includes(tabKey)) return visibleSalesBreakdownColumns.value
+  return productColumns.value
+}
+
+function filterColumnsForTableKey (tabKey) {
   if (tabKey === 'products') return productColumns.value
   if (tabKey === 'product_detail') return productDetailColumns.value
   if (tabKey === 'general') return generalColumns
@@ -3010,6 +3280,9 @@ function compareGroupedBucketsForTable (tableKey, left, right, groupDef) {
 
 function groupedBucketSortValue (sourceRows, sortBy) {
   if (!sourceRows?.length) return 0
+  if (shouldUseDerivedGroupSortValue(sortBy)) {
+    return sortValueForColumnName(aggregateGroupFields(sourceRows), sortBy)
+  }
   if (sortBy === 'stock_qty') return distinctVariantStockQty(sourceRows)
   if (sortBy === 'idle_cost_usd') return distinctVariantStockCost(sourceRows)
   if (sortBy === 'base_price_usd' || sortBy === 'cost_price_usd') return weightedAverageProductCost(sourceRows, sortBy)
@@ -3018,6 +3291,10 @@ function groupedBucketSortValue (sourceRows, sortBy) {
   return sortValueForColumnName(sourceRows[0], sortBy)
 }
 
+function shouldUseDerivedGroupSortValue (sortBy) {
+  return /^(performance_score|stock_turnover|stock_days|avg_price_usd|unit_profit|gross_profit|gross_margin|market_count|customer_count|sales_index)/i.test(String(sortBy || ''))
+}
+
 function sortProductGroupedTableRows (tableRows, sortBy, descending) {
   const source = Array.isArray(tableRows) ? tableRows : []
   if (backendGroupedSupportedTab(activeTab.value)) return source
@@ -3156,10 +3433,10 @@ function makeGroupRow (key, level, groupDef, value, groupRows) {
     gross_profit_usd_90d: sumRows(groupRows, 'gross_profit_usd_90d'),
     gross_profit_usd_180d: sumRows(groupRows, 'gross_profit_usd_180d'),
     gross_profit_usd_total: sumRows(groupRows, 'gross_profit_usd_total'),
-    market_count_90d: distinctCount(groupRows, 'market_key'),
-    customer_count_90d: sumRows(groupRows, 'customer_count_90d'),
-    market_count_total: sumRows(groupRows, 'market_count_total'),
-    customer_count_total: sumRows(groupRows, 'customer_count_total'),
+    market_count_90d: distinctSpreadCount(groupRows, 'market_count_90d'),
+    customer_count_90d: distinctSpreadCount(groupRows, 'customer_count_90d'),
+    market_count_total: distinctSpreadCount(groupRows, 'market_count_total'),
+    customer_count_total: distinctSpreadCount(groupRows, 'customer_count_total'),
     avg_price_usd_90d: weightedAverage(groupRows, 'sales_usd_90d', 'sales_qty_90d'),
     avg_price_usd_180d: weightedAverage(groupRows, 'sales_usd_180d', 'sales_qty_180d'),
     avg_price_usd_365d: weightedAverage(groupRows, 'sales_usd_365d', 'sales_qty_365d'),
@@ -3187,7 +3464,9 @@ function makeGroupRow (key, level, groupDef, value, groupRows) {
     sales_index_total: averageRows(groupRows, 'sales_index_total'),
     performance_bucket: dominantValue(groupRows, 'performance_bucket'),
     ...aggregate,
-    performance_score: groupPerformanceScore(aggregate, groupDef.key),
+    performance_score: Object.prototype.hasOwnProperty.call(aggregate, 'performance_score')
+      ? aggregate.performance_score
+      : groupPerformanceScore(aggregate, groupDef.key),
     recommendation: dominantValue(groupRows, 'recommendation') || `${formatNumber(groupRows.length, 0)} satır`
   }
 }
@@ -3202,8 +3481,8 @@ function aggregateGroupFields (sourceRows, groupField = '') {
   for (const field of fields) {
     if (field === 'row_key' || field === 'key') continue
     if (/^gross_margin(_base|_cost)?(_|$)/i.test(field)) continue
-    if (field === 'stock_qty') {
-      out[field] = distinctVariantStockQty(sourceRows)
+    if (field === 'stock_qty' || /^avg_stock_/i.test(field)) {
+      out[field] = distinctVariantNumber(sourceRows, field)
       continue
     }
     if (field === 'idle_cost_usd') {
@@ -3214,6 +3493,10 @@ function aggregateGroupFields (sourceRows, groupField = '') {
       out[field] = weightedAverageProductCost(sourceRows, field)
       continue
     }
+    if (isDistinctSpreadCountField(field)) {
+      out[field] = distinctSpreadCount(sourceRows, field)
+      continue
+    }
     if (shouldSumField(field)) {
       out[field] = sumRows(sourceRows, field)
     } else if (shouldAverageField(field)) {
@@ -3226,15 +3509,18 @@ function aggregateGroupFields (sourceRows, groupField = '') {
 }
 
 function shouldSumField (field) {
-  return /(_qty|_usd|_count|_value_usd|line_count|invoice_count|order_count|product_count|market_count|customer_count|overdue_qty|stock_qty|net_stock_after_order|idle_cost_usd)$/i.test(field)
+  return /^(sales_qty_|sales_usd_|avg_daily_sales_|gross_profit_|invoice_count_|market_count_|customer_count_|product_group_count_|product_count_)/i.test(field) ||
+    /(_qty|_usd|_count|_value_usd|line_count|invoice_count|order_count|product_count|market_count|customer_count|overdue_qty|stock_qty|net_stock_after_order|idle_cost_usd)$/i.test(field)
 }
 
 function shouldAverageField (field) {
-  return /^(avg_|unit_|base_price|cost_price|gross_margin|expected_margin|sales_index|performance_score|stock_days|stock_turnover)/i.test(field) ||
+  if (/^avg_daily_sales_/i.test(field)) return false
+  return /^(avg_|unit_|base_price|cost_price|gross_margin|expected_margin|sales_index|performance_score|customer_score|stock_days|stock_turnover)/i.test(field) ||
     /(_price_usd|_margin|_index|_days)$/i.test(field)
 }
 
 function weightFieldForMetric (field) {
+  if (field.startsWith('stock_turnover')) return `sales_qty_${countPeriodSuffix(field)}`
   if (field.includes('_180d')) return 'sales_qty_180d'
   if (field.includes('_365d')) return 'sales_qty_365d'
   if (field.includes('_total')) return 'sales_qty_total'
@@ -3244,21 +3530,65 @@ function weightFieldForMetric (field) {
 }
 
 function applyDerivedGroupMetrics (out, sourceRows, groupField = '') {
+  Object.assign(out, normalizeProductCostFields(out))
+  const isGroup = Boolean(String(groupField || '').trim())
+  const preservedCustomerScores = {}
+  const preservedProductScores = {}
+  const preservedStockTurnovers = {}
+  for (const suffix of ['90d', '180d', '365d', 'total']) {
+    if (Object.prototype.hasOwnProperty.call(out, `customer_score_${suffix}`)) {
+      preservedCustomerScores[suffix] = Number(out[`customer_score_${suffix}`] || 0)
+    }
+    if (Object.prototype.hasOwnProperty.call(out, `performance_score_${suffix}`)) {
+      preservedProductScores[suffix] = Number(out[`performance_score_${suffix}`] || 0)
+    }
+    if (isGroup && Object.prototype.hasOwnProperty.call(out, `stock_turnover_${suffix}`)) {
+      preservedStockTurnovers[suffix] = Number(out[`stock_turnover_${suffix}`] || 0)
+    }
+  }
+  if (
+    Object.prototype.hasOwnProperty.call(out, 'performance_score') &&
+    !Object.prototype.hasOwnProperty.call(preservedProductScores, '90d')
+  ) {
+    preservedProductScores['90d'] = Number(out.performance_score || 0)
+  }
   for (const suffix of ['90d', '180d', '365d', 'total']) {
     const sales = Number(out[`sales_usd_${suffix}`] || 0)
     const qty = Number(out[`sales_qty_${suffix}`] || 0)
+    const stockQty = Number(out.stock_qty || 0)
+    const avgStock = Number(out[`avg_stock_${suffix}`] || 0)
+    const turnoverBase = avgStock > 0 ? avgStock : (isGroup ? 0 : stockQty)
+    const days = productPerformancePeriodDays(out, suffix)
+    const avgDaily = days > 0 ? qty / days : Number(out[`avg_daily_sales_${suffix}`] || 0)
+    if (days > 0) out[`avg_daily_sales_${suffix}`] = avgDaily
+    if (avgDaily > 0 && turnoverBase > 0) out[`stock_days_${suffix}`] = turnoverBase / avgDaily
+    else if (qty <= 0 && stockQty > 0) out[`stock_days_${suffix}`] = 9999
+    else if (!Object.prototype.hasOwnProperty.call(out, `stock_days_${suffix}`)) out[`stock_days_${suffix}`] = 0
+    out[`stock_turnover_${suffix}`] = annualizedStockTurnover(qty, turnoverBase, days)
+    if (Object.prototype.hasOwnProperty.call(preservedStockTurnovers, suffix)) {
+      out[`stock_turnover_${suffix}`] = preservedStockTurnovers[suffix]
+    }
     if (qty > 0) out[`avg_price_usd_${suffix}`] = sales / qty
-    if (sales > 0) {
-      if (out[`gross_profit_base_usd_${suffix}`] !== undefined) {
-        out[`gross_margin_base_${suffix}`] = Number(out[`gross_profit_base_usd_${suffix}`] || 0) / sales
-      }
-      if (out[`gross_profit_cost_usd_${suffix}`] !== undefined) {
-        out[`gross_margin_cost_${suffix}`] = Number(out[`gross_profit_cost_usd_${suffix}`] || 0) / sales
-      }
-      if (out[`gross_profit_usd_${suffix}`] !== undefined) {
-        out[`gross_margin_${suffix}`] = Number(out[`gross_profit_usd_${suffix}`] || 0) / sales
-      }
+    const { costPrice, basePrice } = periodCostPair(out, suffix)
+    out[`base_price_usd_${suffix}`] = basePrice
+    out[`cost_price_usd_${suffix}`] = costPrice
+    if (qty > 0) {
+      const avgPrice = sales / qty
+      out[`unit_profit_base_${suffix}`] = avgPrice - basePrice
+      out[`unit_profit_cost_${suffix}`] = avgPrice - costPrice
+      out[`gross_profit_base_usd_${suffix}`] = sales - qty * basePrice
+      out[`gross_profit_cost_usd_${suffix}`] = sales - qty * costPrice
+      out[`gross_profit_usd_${suffix}`] = out[`gross_profit_cost_usd_${suffix}`]
+    } else {
+      out[`unit_profit_base_${suffix}`] = 0
+      out[`unit_profit_cost_${suffix}`] = 0
+      out[`gross_profit_base_usd_${suffix}`] = 0
+      out[`gross_profit_cost_usd_${suffix}`] = 0
+      out[`gross_profit_usd_${suffix}`] = 0
     }
+    out[`gross_margin_base_${suffix}`] = sales > 0 ? Number(out[`gross_profit_base_usd_${suffix}`] || 0) / sales : 0
+    out[`gross_margin_cost_${suffix}`] = sales > 0 ? Number(out[`gross_profit_cost_usd_${suffix}`] || 0) / sales : 0
+    out[`gross_margin_${suffix}`] = sales > 0 ? Number(out[`gross_profit_usd_${suffix}`] || 0) / sales : 0
   }
 
   const orderUsd = Number(out.order_usd || 0)
@@ -3276,15 +3606,33 @@ function applyDerivedGroupMetrics (out, sourceRows, groupField = '') {
   if (sourceRows.some(row => row.performance_bucket)) {
     out.performance_bucket = dominantValue(sourceRows, 'performance_bucket')
   }
-  out.customer_score_90d = customerSalesPeriodScore(periodMetricSource(out, '90d'))
-  out.customer_score_180d = customerSalesPeriodScore(periodMetricSource(out, '180d'))
-  out.customer_score_365d = customerSalesPeriodScore(periodMetricSource(out, '365d'))
-  out.customer_score_total = customerSalesPeriodScore(periodMetricSource(out, 'total'))
-  out.performance_score_90d = productSalesPeriodScore(productPeriodMetricSource(out, '90d'))
-  out.performance_score_180d = productSalesPeriodScore(productPeriodMetricSource(out, '180d'))
-  out.performance_score_365d = productSalesPeriodScore(productPeriodMetricSource(out, '365d'))
-  out.performance_score_total = productSalesPeriodScore(productPeriodMetricSource(out, 'total'))
-  out.performance_score = groupPerformanceScore(out, groupField)
+  for (const suffix of ['90d', '180d', '365d', 'total']) {
+    out[`customer_score_${suffix}`] = Object.prototype.hasOwnProperty.call(preservedCustomerScores, suffix)
+      ? preservedCustomerScores[suffix]
+      : customerSalesPeriodScore(periodMetricSource(out, suffix))
+    out[`performance_score_${suffix}`] = Object.prototype.hasOwnProperty.call(preservedProductScores, suffix)
+      ? preservedProductScores[suffix]
+      : productSalesPeriodScore(productPeriodMetricSource(out, suffix))
+  }
+  out.performance_score = Number(out.performance_score_90d || 0)
+}
+
+function productPerformancePeriodDays (row, suffix) {
+  if (suffix === '90d') return 90
+  if (suffix === '180d') return 180
+  if (suffix === '365d') return 360
+  if (suffix !== 'total') return 0
+  const start = parseProductPerformanceDate(row?.period_start) || new Date(Date.UTC(2022, 0, 1))
+  const end = parseProductPerformanceDate(row?.period_end) || parseProductPerformanceDate(row?.kpi_date)
+  if (!start || !end || end < start) return 0
+  return Math.floor((end.getTime() - start.getTime()) / 86400000) + 1
+}
+
+function parseProductPerformanceDate (value) {
+  const text = String(value || '').trim().slice(0, 10)
+  if (!/^\d{4}-\d{2}-\d{2}$/.test(text)) return null
+  const [year, month, day] = text.split('-').map(Number)
+  return new Date(Date.UTC(year, month - 1, day))
 }
 
 function groupPerformanceScore (row, groupField = '') {
@@ -3298,33 +3646,39 @@ function salesGroupPerformanceScore (row) {
 }
 
 function productSalesPeriodScore (row) {
-  const salesIndex = Number(row?.sales_index_90d || 0)
-  const margin = Number(row?.gross_margin_cost_90d ?? 0)
-  const invoices = Number(row?.invoice_count_90d || 0)
-  const qty = Number(row?.sales_qty_90d || 0)
-  let stockTurnover = Number(row?.stock_turnover_90d || 0)
-  const stockQty = Number(row?.stock_qty || 0)
-  if (!stockTurnover && stockQty > 0) stockTurnover = qty / stockQty
-  return Math.min(35, Math.max(0, salesIndex) * 18) +
-    Math.min(30, Math.max(0, margin) * 60) +
-    Math.min(15, invoices * 1.5) +
-    Math.min(10, qty / 10) +
-    Math.min(10, Math.max(0, stockTurnover) * 5)
+  const suffix = row?.suffix || '90d'
+  const periodDays = productPerformancePeriodDays(row, suffix)
+  return productScore100({
+    suffix,
+    periodDays,
+    salesUSD: Number(row?.sales_usd_90d || 0),
+    salesIndex: Number(row?.sales_index_90d || 0),
+    margin: Number(row?.gross_margin_cost_90d ?? row?.gross_margin_90d ?? 0),
+    stockTurnover: Number(row?.stock_turnover_90d || 0),
+    marketCount: Number(row?.market_count_90d || 0),
+    customerCount: Number(row?.customer_count_90d || 0)
+  })
 }
 
 function productPeriodMetricSource (row, suffix) {
   const salesIndex = Number(row?.[`sales_index_${suffix}`] || 0)
   const qty = Number(row?.[`sales_qty_${suffix}`] || 0)
   const stockQty = Number(row?.stock_qty || 0)
+  const avgStock = Number(row?.[`avg_stock_${suffix}`] || 0)
+  const isGroup = Boolean(row?.__group || String(row?.group_field || '').trim())
+  const turnoverBase = avgStock > 0 ? avgStock : (isGroup ? 0 : stockQty)
   const turnoverKey = `stock_turnover_${suffix}`
   const hasTurnover = Object.prototype.hasOwnProperty.call(row || {}, turnoverKey)
   return {
+    suffix,
     sales_index_90d: salesIndex,
+    sales_usd_90d: Number(row?.[`sales_usd_${suffix}`] || 0),
     gross_margin_cost_90d: Number(row?.[`gross_margin_cost_${suffix}`] ?? 0),
     gross_margin_90d: Number(row?.[`gross_margin_${suffix}`] ?? 0),
-    invoice_count_90d: Number(row?.[`invoice_count_${suffix}`] || 0),
     sales_qty_90d: qty,
-    stock_turnover_90d: hasTurnover ? Number(row?.[turnoverKey] || 0) : (stockQty > 0 ? qty / stockQty : 0),
+    stock_turnover_90d: hasTurnover ? Number(row?.[turnoverKey] || 0) : annualizedStockTurnover(qty, turnoverBase, productPerformancePeriodDays(row, suffix)),
+    market_count_90d: periodCount(row, 'market_count', suffix),
+    customer_count_90d: periodCount(row, 'customer_count', suffix),
     stock_qty: stockQty
   }
 }
@@ -3343,29 +3697,131 @@ function customerSalesGroupPerformanceScore (row) {
 }
 
 function customerSalesPeriodScore (row) {
-  const salesUSD = Number(row?.sales_usd || 0)
-  const margin = Number(row?.gross_margin_cost ?? 0)
-  const invoices = Number(row?.invoice_count || 0)
-  const qty = Number(row?.sales_qty || 0)
-  const productCount = Number(row?.product_count || 0)
-  return Math.min(35, salesUSD / 1000) +
-    Math.min(25, Math.max(0, margin) * 55) +
-    Math.min(20, invoices * 2) +
-    Math.min(10, qty / 10) +
-    Math.min(10, productCount)
+  return customerScore100({
+    suffix: row?.suffix || '90d',
+    salesUSD: Number(row?.sales_usd || 0),
+    margin: Number(row?.gross_margin_cost ?? row?.gross_margin ?? 0),
+    productGroupCount: Number(row?.product_group_count || row?.product_count || 0),
+    salesQty: Number(row?.sales_qty || 0)
+  })
 }
 
 function periodMetricSource (row, suffix) {
   return {
+    suffix,
     sales_usd: Number(row?.[`sales_usd_${suffix}`] || 0),
     gross_margin_cost: Number(row?.[`gross_margin_cost_${suffix}`] ?? 0),
     gross_margin: Number(row?.[`gross_margin_${suffix}`] ?? 0),
-    invoice_count: Number(row?.[`invoice_count_${suffix}`] || 0),
     sales_qty: Number(row?.[`sales_qty_${suffix}`] || 0),
+    product_group_count: periodCount(row, 'product_group_count', suffix),
     product_count: Number(row?.product_count || 0)
   }
 }
 
+function productScore100 ({ suffix = '90d', periodDays = 0, salesUSD = 0, margin = 0, stockTurnover = 0, marketCount = 0, customerCount = 0 } = {}) {
+  if (Number(salesUSD || 0) <= 0) return 1
+  const revenue = ratioScore(salesUSD, productRevenueTarget(suffix, periodDays))
+  return clampScore(
+    0.30 * marginScore(margin) +
+    0.20 * ratioScore(stockTurnover, stockTurnoverTarget(suffix)) +
+    0.20 * revenue +
+    0.05 * ratioScore(marketCount, marketSpreadTarget(suffix)) +
+    0.25 * ratioScore(customerCount, customerSpreadTarget(suffix, periodDays))
+  )
+}
+
+function customerScore100 ({ suffix = '90d', salesUSD = 0, margin = 0, productGroupCount = 0, salesQty = 0 } = {}) {
+  if (Number(salesUSD || 0) <= 0) return 1
+  return clampScore(
+    0.35 * ratioScore(salesUSD, customerRevenueTarget(suffix)) +
+    0.30 * marginScore(margin) +
+    0.20 * ratioScore(productGroupCount, 8) +
+    0.15 * ratioScore(salesQty, customerQtyTarget(suffix))
+  )
+}
+
+function ratioScore (value, target) {
+  const n = Number(value || 0)
+  const t = Number(target || 0)
+  if (!Number.isFinite(n) || !Number.isFinite(t) || n <= 0 || t <= 0) return 0
+  return Math.min(100, Math.max(0, n) * 100 / t)
+}
+
+function marginScore (margin) {
+  return ratioScore(Math.max(0, Number(margin || 0)), 0.45)
+}
+
+function clampScore (score) {
+  const n = Number(score || 0)
+  if (!Number.isFinite(n) || n <= 0) return 0
+  return Math.round(Math.min(100, n) * 10000) / 10000
+}
+
+function productRevenueTarget (suffix, periodDays = 0) {
+  if (suffix === '180d') return 50000
+  if (suffix === '365d') return 100000
+  if (suffix === 'total') return 50000 * totalPeriodMultiplier(periodDays)
+  return 25000
+}
+
+function customerRevenueTarget (suffix) {
+  if (suffix === '180d') return 50000
+  if (suffix === '365d') return 100000
+  if (suffix === 'total') return 300000
+  return 25000
+}
+
+function customerQtyTarget (suffix) {
+  if (suffix === '180d') return 1000
+  if (suffix === '365d') return 2000
+  if (suffix === 'total') return 6000
+  return 500
+}
+
+const STOCK_TURNOVER_YEAR_DAYS = 360
+
+function annualizedStockTurnover (salesQty, avgStock, periodDays) {
+  const qty = Number(salesQty || 0)
+  const stock = Number(avgStock || 0)
+  const days = Number(periodDays || 0)
+  if (!Number.isFinite(qty) || !Number.isFinite(stock) || qty <= 0 || stock <= 0) return 0
+  const raw = qty / stock
+  return days > 0 ? raw * STOCK_TURNOVER_YEAR_DAYS / days : raw
+}
+
+function stockTurnoverTarget () {
+  return 4
+}
+
+function marketSpreadTarget (suffix) {
+  if (suffix === '90d') return 3
+  if (suffix === '180d') return 3
+  if (suffix === '365d') return 6
+  return 6
+}
+
+function customerSpreadTarget (suffix, periodDays = 0) {
+  if (suffix === '90d') return 8
+  if (suffix === '180d') return 20
+  if (suffix === '365d') return 50
+  return 20 * totalPeriodMultiplier(periodDays)
+}
+
+function totalPeriodMultiplier (periodDays = 0) {
+  let days = Number(periodDays || 0)
+  if (!Number.isFinite(days) || days <= 0) {
+    days = productPerformancePeriodDays({ kpi_date: new Date().toISOString().slice(0, 10) }, 'total')
+  }
+  return Math.max(1, days / 180)
+}
+
+function periodCount (row, prefix, suffix) {
+  const keyed = Number(row?.[`${prefix}_${suffix}`] || 0)
+  if (keyed > 0) return keyed
+  if (suffix === 'total') return Number(row?.[`${prefix}_total`] || 0)
+  return Number(row?.[`${prefix}_90d`] || row?.[prefix] || 0)
+}
+
 function orderGroupPerformanceScore (row) {
   const orderUSD = Number(row?.order_usd || 0)
   const margin = Number(row?.expected_margin_cost || 0)
@@ -3392,19 +3848,23 @@ function productVariantStockKey (row) {
 }
 
 function distinctVariantStockQty (sourceRows) {
+  return distinctVariantNumber(sourceRows, 'stock_qty')
+}
+
+function distinctVariantNumber (sourceRows, field) {
   const seen = new Set()
   let total = 0
   let keyed = false
   for (const row of sourceRows) {
     const key = productVariantStockKey(row)
-    const stockQty = Number(row?.stock_qty || 0)
+    const value = Number(row?.[field] || 0)
     if (!key) continue
     keyed = true
     if (seen.has(key)) continue
     seen.add(key)
-    total += stockQty
+    total += value
   }
-  return keyed ? total : sumRows(sourceRows, 'stock_qty')
+  return keyed ? total : sumRows(sourceRows, field)
 }
 
 function distinctVariantStockCost (sourceRows) {
@@ -3433,6 +3893,83 @@ function distinctCount (sourceRows, field) {
   return values.size
 }
 
+function isDistinctSpreadCountField (field) {
+  return /^market_count(_|$)/i.test(field) || /^customer_count(_|$)/i.test(field)
+}
+
+function countPeriodSuffix (field) {
+  if (field.includes('_180d')) return '180d'
+  if (field.includes('_365d')) return '365d'
+  if (field.includes('_total')) return 'total'
+  return '90d'
+}
+
+function salesUsdFieldForSuffix (suffix) {
+  return `sales_usd_${suffix}`
+}
+
+function distinctSpreadCount (sourceRows, field) {
+  const suffix = countPeriodSuffix(field)
+  return /^market_count/i.test(field)
+    ? distinctRevenueMarketCount(sourceRows, suffix, field)
+    : distinctRevenueCustomerCount(sourceRows, suffix, field)
+}
+
+function distinctRevenueMarketCount (sourceRows, suffix, fallbackField) {
+  const salesField = salesUsdFieldForSuffix(suffix)
+  const values = new Set()
+  for (const row of sourceRows) {
+    if (Number(row?.[salesField] || 0) <= 0) continue
+    const marketKeys = stringListFromRow(row, `__market_keys_${suffix}`)
+    for (const key of marketKeys) {
+      const value = displayMarketName(key)
+      if (value && value !== 'STOK' && value !== '-') values.add(value)
+    }
+    if (marketKeys.length > 0) continue
+    const value = displayMarketName(row?.market_key)
+    if (value && value !== 'STOK' && value !== '-') values.add(value)
+  }
+  if (values.size > 0) return values.size
+  return sourceRows.reduce((sum, row) => {
+    return Number(row?.[salesField] || 0) > 0 ? sum + Number(row?.[fallbackField] || 0) : sum
+  }, 0)
+}
+
+function distinctRevenueCustomerCount (sourceRows, suffix, fallbackField) {
+  const salesField = salesUsdFieldForSuffix(suffix)
+  const values = new Set()
+  for (const row of sourceRows) {
+    if (Number(row?.[salesField] || 0) <= 0) continue
+    const customerKeys = stringListFromRow(row, `__customer_keys_${suffix}`)
+    for (const code of customerKeys) {
+      if (code && code !== '-') values.add(code)
+    }
+    if (customerKeys.length > 0) continue
+    const code = String(row?.customer_code || '').trim()
+    if (code && code !== '-') values.add(code)
+  }
+  if (values.size > 0) return values.size
+  return sourceRows.reduce((sum, row) => {
+    return Number(row?.[salesField] || 0) > 0 ? sum + Number(row?.[fallbackField] || 0) : sum
+  }, 0)
+}
+
+function stringListFromRow (row, field) {
+  const value = row?.[field]
+  if (Array.isArray(value)) return value.map(item => String(item || '').trim()).filter(Boolean)
+  const text = String(value || '').trim()
+  if (!text) return []
+  if (text.startsWith('[')) {
+    try {
+      const parsed = JSON.parse(text)
+      return Array.isArray(parsed) ? parsed.map(item => String(item || '').trim()).filter(Boolean) : []
+    } catch {
+      return []
+    }
+  }
+  return [text]
+}
+
 function distinctSummary (sourceRows, field, fallbackField) {
   const values = new Set()
   for (const row of sourceRows) {
@@ -3481,6 +4018,9 @@ function weightedAverage (sourceRows, amountField, qtyField) {
 }
 
 function weightedAverageOrAverage (sourceRows, valueField, qtyField) {
+  if (/^(performance_score|customer_score)/i.test(valueField)) {
+    return weightedAverageScore(sourceRows, valueField, scoreSuffixForMetric(valueField))
+  }
   const weightedRows = sourceRows
     .map(row => ({
       value: Number(row[valueField] || 0),
@@ -3494,6 +4034,34 @@ function weightedAverageOrAverage (sourceRows, valueField, qtyField) {
   return 0
 }
 
+function scoreSuffixForMetric (field) {
+  if (field.includes('_180d')) return '180d'
+  if (field.includes('_365d')) return '365d'
+  if (field.includes('_total')) return 'total'
+  return '90d'
+}
+
+function scoreWeight (row, suffix) {
+  const salesQty = Number(row?.[`sales_qty_${suffix}`] || 0)
+  if (salesQty > 0) return salesQty
+  return 0
+}
+
+function weightedAverageScore (sourceRows, valueField, suffix) {
+  const rows = sourceRows
+    .filter(row => Object.prototype.hasOwnProperty.call(row || {}, valueField))
+    .map(row => ({
+      value: Number(row[valueField] || 0),
+      weight: scoreWeight(row, suffix)
+    }))
+    .filter(row => Number.isFinite(row.value) && Number.isFinite(row.weight))
+  const weight = rows.reduce((sum, row) => sum + Math.max(0, row.weight), 0)
+  if (weight > 0) {
+    return rows.reduce((sum, row) => sum + row.value * Math.max(0, row.weight), 0) / weight
+  }
+  return rows.length ? rows.reduce((sum, row) => sum + row.value, 0) / rows.length : 0
+}
+
 function weightedAverageProductCost (sourceRows, valueField) {
   const salesRows = sourceRows
     .map(row => ({
@@ -3512,18 +4080,12 @@ function weightedAverageProductCost (sourceRows, valueField) {
     if (!key || variants.has(key)) continue
     variants.set(key, row)
   }
-  const stockSource = variants.size > 0 ? Array.from(variants.values()) : sourceRows
-  const stockRows = stockSource
-    .map(row => ({
-      value: Number(row[valueField] || 0),
-      qty: Number(row.stock_qty || 0)
-    }))
-    .filter(row => Number.isFinite(row.value) && Number.isFinite(row.qty) && row.value > 0 && row.qty > 0)
-  const stockQty = stockRows.reduce((sum, row) => sum + row.qty, 0)
-  if (stockQty > 0) {
-    return stockRows.reduce((sum, row) => sum + row.value * row.qty, 0) / stockQty
-  }
-  return 0
+  const averageSource = variants.size > 0 ? Array.from(variants.values()) : sourceRows
+  const values = averageSource
+    .map(row => Number(row[valueField] || 0))
+    .filter(value => Number.isFinite(value) && value > 0)
+  if (!values.length) return 0
+  return values.reduce((sum, value) => sum + value, 0) / values.length
 }
 
 function marginFromSalesCost (salesUSD, qty, unitCost) {
@@ -3549,7 +4111,16 @@ function shouldSkipGroupValue (field, value) {
   return false
 }
 
+function groupCanExpand (rowOrKey) {
+  const key = typeof rowOrKey === 'string' ? rowOrKey : rowOrKey?.key
+  const depth = groupKeyDepth(key)
+  const tabKey = tabKeyFromGroupKey(key)
+  const levels = tabGroupLevels[tabKey] || groupLevels
+  return depth >= 0 && depth < levels.length - 1
+}
+
 function isGroupExpanded (key) {
+  if (!groupCanExpand(key)) return false
   const tabKey = tabKeyFromGroupKey(key)
   const depth = groupKeyDepth(key)
   const level = selectedExpandThroughLevelForTab(tabKey)
@@ -3609,6 +4180,7 @@ function applyActiveExpansionThroughLevel (level) {
 }
 
 function toggleGroup (key) {
+  if (!groupCanExpand(key)) return
   const level = groupKeyDepth(key)
   applyActiveExpansionThroughLevel(isGroupExpanded(key) ? level - 1 : level)
 }
@@ -3708,39 +4280,114 @@ function formatGroupCell (row, colOrName) {
 }
 
 function withProductMargins (row) {
-  return {
-    ...row,
-    avg_price_usd_365d: Number(row?.sales_qty_365d || 0) > 0 ? Number(row?.sales_usd_365d || 0) / Number(row?.sales_qty_365d || 0) : 0,
-    stock_turnover_90d: existingOrStockTurnover(row?.stock_turnover_90d, row?.sales_qty_90d, row?.stock_qty),
-    stock_turnover_180d: existingOrStockTurnover(row?.stock_turnover_180d, row?.sales_qty_180d, row?.stock_qty),
-    stock_turnover_365d: existingOrStockTurnover(row?.stock_turnover_365d, row?.sales_qty_365d, row?.stock_qty),
-    gross_margin_base_90d: marginFromSalesCost(row?.sales_usd_90d, row?.sales_qty_90d, row?.base_price_usd),
-    gross_margin_cost_90d: marginFromSalesCost(row?.sales_usd_90d, row?.sales_qty_90d, row?.cost_price_usd),
-    gross_margin_base_180d: marginFromSalesCost(row?.sales_usd_180d, row?.sales_qty_180d, row?.base_price_usd),
-    gross_margin_cost_180d: marginFromSalesCost(row?.sales_usd_180d, row?.sales_qty_180d, row?.cost_price_usd),
-    gross_margin_base_365d: marginFromSalesCost(row?.sales_usd_365d, row?.sales_qty_365d, row?.base_price_usd),
-    gross_margin_cost_365d: marginFromSalesCost(row?.sales_usd_365d, row?.sales_qty_365d, row?.cost_price_usd)
+  const next = normalizeProductCostFields(row)
+  const out = {
+    ...next,
+    avg_price_usd_365d: Number(next?.sales_qty_365d || 0) > 0 ? Number(next?.sales_usd_365d || 0) / Number(next?.sales_qty_365d || 0) : 0,
+    stock_turnover_90d: groupedOrExistingStockTurnover(next, '90d', 90),
+    stock_turnover_180d: groupedOrExistingStockTurnover(next, '180d', 180),
+    stock_turnover_365d: groupedOrExistingStockTurnover(next, '365d', 360),
+    stock_turnover_total: groupedOrExistingStockTurnover(next, 'total', productPerformancePeriodDays(next, 'total'))
   }
+  for (const suffix of ['90d', '180d', '365d', 'total']) {
+    applyPeriodProfitFields(out, suffix)
+  }
+  return out
 }
 
 function withGeneralMargins (row) {
+  const out = normalizeProductCostFields(row)
+  applyPeriodProfitFields(out, 'total')
   return {
-    ...row,
-    stock_turnover_total: existingOrStockTurnover(row?.stock_turnover_total, row?.sales_qty_total, row?.stock_qty),
-    gross_margin_base_total: marginFromSalesCost(row?.sales_usd_total, row?.sales_qty_total, row?.base_price_usd),
-    gross_margin_cost_total: marginFromSalesCost(row?.sales_usd_total, row?.sales_qty_total, row?.cost_price_usd)
+    ...out,
+    stock_turnover_total: groupedOrExistingStockTurnover(out, 'total', productPerformancePeriodDays(out, 'total'))
   }
 }
 
-function stockTurnover (salesQty, stockQty) {
-  const stock = Number(stockQty || 0)
-  if (stock <= 0) return 0
-  return Number(salesQty || 0) / stock
+function normalizeProductCostFields (row) {
+  const next = { ...row }
+  normalizeProductCostPairFields(next, 'cost_price_usd', 'base_price_usd')
+  for (const suffix of ['90d', '180d', '365d', 'total']) {
+    normalizeProductCostPairFields(next, `cost_price_usd_${suffix}`, `base_price_usd_${suffix}`)
+  }
+  return next
 }
 
-function existingOrStockTurnover (value, salesQty, stockQty) {
+function normalizeProductCostPairFields (row, costField, baseField) {
+  const hasCost = Object.prototype.hasOwnProperty.call(row || {}, costField)
+  const hasBase = Object.prototype.hasOwnProperty.call(row || {}, baseField)
+  if (!hasCost && !hasBase) return
+  let costPrice = Number(row?.[costField] || 0)
+  let basePrice = Number(row?.[baseField] || 0)
+  if (costPrice > 0 && basePrice > 0 && costPrice > basePrice) {
+    const tmp = costPrice
+    costPrice = basePrice
+    basePrice = tmp
+  }
+  if (hasCost || costPrice > 0) row[costField] = costPrice
+  if (hasBase || basePrice > 0) row[baseField] = basePrice
+}
+
+function periodCostPair (row, suffix) {
+  const costField = `cost_price_usd_${suffix}`
+  const baseField = `base_price_usd_${suffix}`
+  let costPrice = Number(row?.[costField] || 0)
+  let basePrice = Number(row?.[baseField] || 0)
+  if (costPrice <= 0) costPrice = Number(row?.cost_price_usd || 0)
+  if (basePrice <= 0) basePrice = Number(row?.base_price_usd || 0)
+  if (costPrice > 0 && basePrice > 0 && costPrice > basePrice) {
+    const tmp = costPrice
+    costPrice = basePrice
+    basePrice = tmp
+  }
+  return { costPrice, basePrice }
+}
+
+function applyPeriodProfitFields (row, suffix) {
+  const qty = Number(row?.[`sales_qty_${suffix}`] || 0)
+  const salesUSD = Number(row?.[`sales_usd_${suffix}`] || 0)
+  const { costPrice, basePrice } = periodCostPair(row, suffix)
+  row[`base_price_usd_${suffix}`] = basePrice
+  row[`cost_price_usd_${suffix}`] = costPrice
+  if (qty > 0) {
+    row[`avg_price_usd_${suffix}`] = salesUSD / qty
+    row[`unit_profit_base_${suffix}`] = salesUSD / qty - basePrice
+    row[`unit_profit_cost_${suffix}`] = salesUSD / qty - costPrice
+    row[`gross_profit_base_usd_${suffix}`] = salesUSD - qty * basePrice
+    row[`gross_profit_cost_usd_${suffix}`] = salesUSD - qty * costPrice
+    row[`gross_profit_usd_${suffix}`] = row[`gross_profit_cost_usd_${suffix}`]
+  } else {
+    row[`unit_profit_base_${suffix}`] = 0
+    row[`unit_profit_cost_${suffix}`] = 0
+    row[`gross_profit_base_usd_${suffix}`] = 0
+    row[`gross_profit_cost_usd_${suffix}`] = 0
+    row[`gross_profit_usd_${suffix}`] = 0
+  }
+  row[`gross_margin_base_${suffix}`] = marginFromSalesCost(salesUSD, qty, basePrice)
+  row[`gross_margin_cost_${suffix}`] = marginFromSalesCost(salesUSD, qty, costPrice)
+}
+
+function stockTurnover (salesQty, stockQty, periodDays) {
+  return annualizedStockTurnover(salesQty, stockQty, periodDays)
+}
+
+function existingOrStockTurnover (value, salesQty, stockQty, periodDays) {
   const current = Number(value)
-  return value !== undefined && value !== null && Number.isFinite(current) ? current : stockTurnover(salesQty, stockQty)
+  return value !== undefined && value !== null && Number.isFinite(current) ? current : stockTurnover(salesQty, stockQty, periodDays)
+}
+
+function groupedOrExistingStockTurnover (row, suffix, periodDays) {
+  const salesQty = Number(row?.[`sales_qty_${suffix}`] || 0)
+  const avgStock = Number(row?.[`avg_stock_${suffix}`] || 0)
+  const stockQty = Number(row?.stock_qty || 0)
+  if (row?.__group) {
+    const current = Number(row?.[`stock_turnover_${suffix}`])
+    if (Number.isFinite(current)) return current
+    if (avgStock > 0) return stockTurnover(salesQty, avgStock, periodDays)
+    return 0
+  }
+  const stockBase = avgStock > 0 ? avgStock : stockQty
+  return existingOrStockTurnover(row?.[`stock_turnover_${suffix}`], salesQty, stockBase, periodDays)
 }
 
 function filterKey (tableKey, name) {
@@ -3990,7 +4637,7 @@ function parseSortNumber (value) {
   if (!text) return NaN
   const normalized = text
     .replace(/\s/g, '')
-    .replace(/[%$₺€£]/g, '')
+    .replace(/[%$\u20ba\u20ac\u00a3]/g, '')
     .replace(/\.(?=\d{3}(\D|$))/g, '')
     .replace(/,/g, '.')
     .replace(/[^\d.-]/g, '')
@@ -4078,11 +4725,21 @@ function formatProductCell (row, name) {
     case 'gross_profit_usd_90d':
     case 'gross_profit_usd_180d':
     case 'gross_profit_usd_total':
+    case 'gross_profit_base_usd_90d':
+    case 'gross_profit_cost_usd_90d':
+    case 'gross_profit_base_usd_180d':
+    case 'gross_profit_cost_usd_180d':
+    case 'gross_profit_base_usd_365d':
+    case 'gross_profit_cost_usd_365d':
+    case 'gross_profit_base_usd_total':
+    case 'gross_profit_cost_usd_total':
       return formatMoney(row[name], 'USD')
     case 'gross_margin_base_90d':
     case 'gross_margin_cost_90d':
     case 'gross_margin_base_180d':
     case 'gross_margin_cost_180d':
+    case 'gross_margin_base_365d':
+    case 'gross_margin_cost_365d':
     case 'gross_margin_base_total':
     case 'gross_margin_cost_total':
     case 'gross_margin_90d':
@@ -4106,19 +4763,19 @@ function normalizeRow (row) {
   const color = String(row?.color_code || '').trim()
   const yaka = String(row?.yaka_kodu || '').trim()
   const market = String(row?.market_key || '').trim()
-  return withPeriodScores(withProductMargins({
+  return withPeriodScores(withGeneralMargins(withProductMargins({
     ...row,
     row_key: `${product}|${color}|${yaka}|${market}`
-  }))
+  })))
 }
 
 function withPeriodScores (row) {
   const next = { ...row }
-  next.performance_score_90d = Number(next.performance_score_90d || productSalesPeriodScore(productPeriodMetricSource(next, '90d')))
-  next.performance_score_180d = Number(next.performance_score_180d || productSalesPeriodScore(productPeriodMetricSource(next, '180d')))
-  next.performance_score_365d = Number(next.performance_score_365d || productSalesPeriodScore(productPeriodMetricSource(next, '365d')))
-  next.performance_score_total = Number(next.performance_score_total || productSalesPeriodScore(productPeriodMetricSource(next, 'total')))
-  if (!Number(next.performance_score || 0)) next.performance_score = next.performance_score_90d
+  if (!Object.prototype.hasOwnProperty.call(next, 'performance_score_90d')) next.performance_score_90d = productSalesPeriodScore(productPeriodMetricSource(next, '90d'))
+  if (!Object.prototype.hasOwnProperty.call(next, 'performance_score_180d')) next.performance_score_180d = productSalesPeriodScore(productPeriodMetricSource(next, '180d'))
+  if (!Object.prototype.hasOwnProperty.call(next, 'performance_score_365d')) next.performance_score_365d = productSalesPeriodScore(productPeriodMetricSource(next, '365d'))
+  if (!Object.prototype.hasOwnProperty.call(next, 'performance_score_total')) next.performance_score_total = productSalesPeriodScore(productPeriodMetricSource(next, 'total'))
+  if (!Object.prototype.hasOwnProperty.call(next, 'performance_score')) next.performance_score = next.performance_score_90d
   return next
 }
 
@@ -4252,16 +4909,6 @@ function displayMarketName (value) {
   return parts.length ? parts[parts.length - 1] : ''
 }
 
-function normalizeUploadsPath (storagePath) {
-  const raw = String(storagePath || '').trim()
-  if (!raw) return ''
-  const normalized = raw.replace(/\\/g, '/')
-  const idx = normalized.toLowerCase().indexOf('/uploads/')
-  if (idx >= 0) return normalized.slice(idx)
-  if (normalized.toLowerCase().startsWith('uploads/')) return `/${normalized}`
-  return ''
-}
-
 function resolveProductImageUrl (item) {
   return resolveProductImageUrls(item)[0] || ''
 }
@@ -4274,24 +4921,15 @@ function resolveProductImageUrls (item) {
     if (url && !urls.includes(url)) urls.push(url)
   }
 
-  const contentURL = String(item.content_url || item.ContentURL || '').trim()
-  if (contentURL.startsWith('/api/')) addURL(contentURL)
-  else if (contentURL.startsWith('/')) addURL(`/api${contentURL}`)
-
-  const imageId = Number(item.id || item.ID || 0)
-  if (Number.isFinite(imageId) && imageId > 0) addURL(`/api/product-images/${imageId}/content`)
-
   const thumbURL = String(item.thumb_url || item.thumbUrl || '').trim()
   addURL(thumbURL)
 
   const fullURL = String(item.full_url || item.fullUrl || '').trim()
   addURL(fullURL)
 
-  const uploadsPath = normalizeUploadsPath(item.storage_path || item.storage || '')
-  addURL(uploadsPath)
-
-  const fileName = String(item.file_name || item.FileName || '').trim()
-  if (fileName) addURL(`/uploads/image/${fileName}`)
+  const contentURL = String(item.content_url || item.ContentURL || '').trim()
+  if (contentURL.startsWith('/api/')) addURL(contentURL)
+  else if (contentURL.startsWith('/')) addURL(`/api${contentURL}`)
   return urls
 }
 
@@ -4369,7 +5007,7 @@ function markProductImageFailed (row, failedUrl = '') {
   if (!key) return
   const currentUrl = String(failedUrl || imageUrlByKey.value[key] || performanceStore.imageUrl(key) || '').trim()
   const list = imageListByKey.value[key] || performanceStore.imageList(key) || []
-  const nextList = Array.isArray(list) ? list.filter(url => url && url !== currentUrl) : []
+  const nextList = Array.isArray(list) ? list.filter(url => url && !sameImageUrl(url, currentUrl)) : []
   if (nextList.length) {
     performanceStore.setImageCache(key, nextList)
     imageListByKey.value = { ...imageListByKey.value, [key]: nextList }
@@ -4382,6 +5020,18 @@ function markProductImageFailed (row, failedUrl = '') {
   imageUrlByKey.value = { ...imageUrlByKey.value, [key]: '' }
 }
 
+function sameImageUrl (left, right) {
+  const a = String(left || '').trim()
+  const b = String(right || '').trim()
+  if (!a || !b) return false
+  if (a === b) return true
+  try {
+    return new URL(a, window.location.origin).href === new URL(b, window.location.origin).href
+  } catch {
+    return a.endsWith(b) || b.endsWith(a)
+  }
+}
+
 function markDialogImageFailed (url) {
   const failedUrl = String(url || '').trim()
   if (!failedUrl) return
@@ -4622,6 +5272,7 @@ async function loadBackendGroupedRows (options = {}) {
     backendGroupedLoading.value = false
     return
   }
+  void ensureBackendGroupedFilterOptions(tabKey)
   pruneActiveExpandedGroups()
   backendGroupedLoading.value = true
   const filtersKey = JSON.stringify(filterState.filters)
@@ -4668,7 +5319,7 @@ async function loadBackendGroupedRows (options = {}) {
 function normalizeGroupedDisplayRow (tabKey, row) {
   const nextRow = { ...row }
   normalizeGroupedProductHierarchyValues(nextRow)
-  return nextRow
+  return withPeriodScores(withGeneralMargins(withProductMargins(nextRow)))
 }
 
 function normalizeGroupedProductHierarchyValues (row) {
@@ -4714,6 +5365,72 @@ async function timedProductPerformanceGet (label, url, config = {}) {
   }
 }
 
+function productPerformanceExcelExportTableKey () {
+  if (isProductKpiTab.value) return activeProductTableKey.value
+  if (backendGroupedSupportedTab(activeTab.value)) return activeTab.value
+  return 'products'
+}
+
+function buildProductPerformanceExcelExportFilters () {
+  const tableKey = productPerformanceExcelExportTableKey()
+  const out = {}
+  for (const col of filterColumnsForTableKey(tableKey) || []) {
+    const name = String(col?.name || '').trim()
+    if (!productPerformanceExcelExportFilterFields.has(name)) continue
+    const selected = selectedColumnFilters(tableKey, name)
+    if (selected.length) out[name] = selected
+  }
+  if (activeTab.value === 'product_detail') {
+    const mainGroup = String(selectedDetailMainGroup.value || '').trim()
+    if (mainGroup && !out.urun_ana_grubu?.includes(mainGroup)) {
+      out.urun_ana_grubu = [...(out.urun_ana_grubu || []), mainGroup]
+    }
+  }
+  return out
+}
+
+function productPerformanceExcelFilename (headers = {}) {
+  const disposition = String(headers?.['content-disposition'] || headers?.['Content-Disposition'] || '').trim()
+  const utfMatch = disposition.match(/filename\*=UTF-8''([^;]+)/i)
+  if (utfMatch?.[1]) return decodeURIComponent(utfMatch[1].replaceAll('"', '').trim())
+  const match = disposition.match(/filename="?([^";]+)"?/i)
+  return match?.[1]?.trim() || `product_performance_color_yaka_${new Date().toISOString().slice(0, 10)}.xlsx`
+}
+
+function downloadProductPerformanceExcelBlob (blob, filename) {
+  const url = URL.createObjectURL(blob)
+  const a = document.createElement('a')
+  a.href = url
+  a.download = filename
+  document.body.appendChild(a)
+  a.click()
+  a.remove()
+  URL.revokeObjectURL(url)
+}
+
+async function exportProductPerformanceExcel () {
+  if (excelExportLoading.value) return
+  excelExportLoading.value = true
+  try {
+    const tableKey = productPerformanceExcelExportTableKey()
+    const pagination = tablePagination[tableKey] || tablePagination.products || {}
+    const response = await api.post('/pricing/product-performance/export-excel', {
+      filters: buildProductPerformanceExcelExportFilters(),
+      sort_by: pagination.sortBy || '',
+      descending: pagination.descending !== false
+    }, {
+      responseType: 'blob',
+      timeout: 180000
+    })
+    downloadProductPerformanceExcelBlob(response.data, productPerformanceExcelFilename(response.headers || {}))
+  } catch (err) {
+    const detail = await extractApiErrorDetail(err)
+    Notify.create({ type: 'negative', message: detail || 'Excel çıktısı alınamadı' })
+  } finally {
+    excelExportLoading.value = false
+  }
+}
+
 async function reload () {
   loading.value = true
   startLoadingTimer('Rapor verileri hazırlanıyor...')
@@ -5439,95 +6156,95 @@ onBeforeUnmount(() => {
   table-layout: fixed;
 }
 
-.product-breakdown-table:not(.product-detail-table) :deep(.q-table th:nth-child(-n+10)),
-.product-breakdown-table:not(.product-detail-table) :deep(.q-table td:nth-child(-n+10)) {
+.product-breakdown-table:not(.product-detail-table):not(.compact-detail-columns) :deep(.q-table th:nth-child(-n+10)),
+.product-breakdown-table:not(.product-detail-table):not(.compact-detail-columns) :deep(.q-table td:nth-child(-n+10)) {
   position: sticky;
   z-index: 2;
 }
 
-.product-breakdown-table:not(.product-detail-table) :deep(.q-table th:nth-child(-n+10)) {
+.product-breakdown-table:not(.product-detail-table):not(.compact-detail-columns) :deep(.q-table th:nth-child(-n+10)) {
   z-index: 30;
   background: #f8fbff;
 }
 
-.product-breakdown-table:not(.product-detail-table) :deep(.q-table tbody tr:not(.group-row) td:nth-child(-n+10)) {
+.product-breakdown-table:not(.product-detail-table):not(.compact-detail-columns) :deep(.q-table tbody tr:not(.group-row) td:nth-child(-n+10)) {
   background: #fff;
 }
 
-.product-breakdown-table:not(.product-detail-table) :deep(.q-table th:nth-child(1)),
-.product-breakdown-table:not(.product-detail-table) :deep(.q-table td:nth-child(1)) {
+.product-breakdown-table:not(.product-detail-table):not(.compact-detail-columns) :deep(.q-table th:nth-child(1)),
+.product-breakdown-table:not(.product-detail-table):not(.compact-detail-columns) :deep(.q-table td:nth-child(1)) {
   left: 0;
   width: 190px;
   min-width: 190px;
   max-width: 190px;
 }
 
-.product-breakdown-table:not(.product-detail-table) :deep(.q-table th:nth-child(2)),
-.product-breakdown-table:not(.product-detail-table) :deep(.q-table td:nth-child(2)) {
+.product-breakdown-table:not(.product-detail-table):not(.compact-detail-columns) :deep(.q-table th:nth-child(2)),
+.product-breakdown-table:not(.product-detail-table):not(.compact-detail-columns) :deep(.q-table td:nth-child(2)) {
   left: 190px;
   width: 140px;
   min-width: 140px;
   max-width: 140px;
 }
 
-.product-breakdown-table:not(.product-detail-table) :deep(.q-table th:nth-child(3)),
-.product-breakdown-table:not(.product-detail-table) :deep(.q-table td:nth-child(3)) {
+.product-breakdown-table:not(.product-detail-table):not(.compact-detail-columns) :deep(.q-table th:nth-child(3)),
+.product-breakdown-table:not(.product-detail-table):not(.compact-detail-columns) :deep(.q-table td:nth-child(3)) {
   left: 330px;
   width: 110px;
   min-width: 110px;
   max-width: 110px;
 }
 
-.product-breakdown-table:not(.product-detail-table) :deep(.q-table th:nth-child(4)),
-.product-breakdown-table:not(.product-detail-table) :deep(.q-table td:nth-child(4)) {
+.product-breakdown-table:not(.product-detail-table):not(.compact-detail-columns) :deep(.q-table th:nth-child(4)),
+.product-breakdown-table:not(.product-detail-table):not(.compact-detail-columns) :deep(.q-table td:nth-child(4)) {
   left: 440px;
   width: 150px;
   min-width: 150px;
   max-width: 150px;
 }
 
-.product-breakdown-table:not(.product-detail-table) :deep(.q-table th:nth-child(5)),
-.product-breakdown-table:not(.product-detail-table) :deep(.q-table td:nth-child(5)) {
+.product-breakdown-table:not(.product-detail-table):not(.compact-detail-columns) :deep(.q-table th:nth-child(5)),
+.product-breakdown-table:not(.product-detail-table):not(.compact-detail-columns) :deep(.q-table td:nth-child(5)) {
   left: 590px;
   width: 170px;
   min-width: 170px;
   max-width: 170px;
 }
 
-.product-breakdown-table:not(.product-detail-table) :deep(.q-table th:nth-child(6)),
-.product-breakdown-table:not(.product-detail-table) :deep(.q-table td:nth-child(6)) {
+.product-breakdown-table:not(.product-detail-table):not(.compact-detail-columns) :deep(.q-table th:nth-child(6)),
+.product-breakdown-table:not(.product-detail-table):not(.compact-detail-columns) :deep(.q-table td:nth-child(6)) {
   left: 760px;
   width: 150px;
   min-width: 150px;
   max-width: 150px;
 }
 
-.product-breakdown-table:not(.product-detail-table) :deep(.q-table th:nth-child(7)),
-.product-breakdown-table:not(.product-detail-table) :deep(.q-table td:nth-child(7)) {
+.product-breakdown-table:not(.product-detail-table):not(.compact-detail-columns) :deep(.q-table th:nth-child(7)),
+.product-breakdown-table:not(.product-detail-table):not(.compact-detail-columns) :deep(.q-table td:nth-child(7)) {
   left: 910px;
   width: 130px;
   min-width: 130px;
   max-width: 130px;
 }
 
-.product-breakdown-table:not(.product-detail-table) :deep(.q-table th:nth-child(8)),
-.product-breakdown-table:not(.product-detail-table) :deep(.q-table td:nth-child(8)) {
+.product-breakdown-table:not(.product-detail-table):not(.compact-detail-columns) :deep(.q-table th:nth-child(8)),
+.product-breakdown-table:not(.product-detail-table):not(.compact-detail-columns) :deep(.q-table td:nth-child(8)) {
   left: 1040px;
   width: 90px;
   min-width: 90px;
   max-width: 90px;
 }
 
-.product-breakdown-table:not(.product-detail-table) :deep(.q-table th:nth-child(9)),
-.product-breakdown-table:not(.product-detail-table) :deep(.q-table td:nth-child(9)) {
+.product-breakdown-table:not(.product-detail-table):not(.compact-detail-columns) :deep(.q-table th:nth-child(9)),
+.product-breakdown-table:not(.product-detail-table):not(.compact-detail-columns) :deep(.q-table td:nth-child(9)) {
   left: 1130px;
   width: 80px;
   min-width: 80px;
   max-width: 80px;
 }
 
-.product-breakdown-table:not(.product-detail-table) :deep(.q-table th:nth-child(10)),
-.product-breakdown-table:not(.product-detail-table) :deep(.q-table td:nth-child(10)) {
+.product-breakdown-table:not(.product-detail-table):not(.compact-detail-columns) :deep(.q-table th:nth-child(10)),
+.product-breakdown-table:not(.product-detail-table):not(.compact-detail-columns) :deep(.q-table td:nth-child(10)) {
   left: 1210px;
   width: 130px;
   min-width: 130px;
@@ -5535,6 +6252,58 @@ onBeforeUnmount(() => {
   box-shadow: 8px 0 10px -10px rgba(17, 24, 39, 0.45);
 }
 
+.product-breakdown-table.compact-detail-columns :deep(.q-table) {
+  min-width: 2450px;
+}
+
+.product-breakdown-table.compact-detail-columns :deep(.q-table th:nth-child(-n+4)),
+.product-breakdown-table.compact-detail-columns :deep(.q-table td:nth-child(-n+4)) {
+  position: sticky;
+  z-index: 2;
+}
+
+.product-breakdown-table.compact-detail-columns :deep(.q-table th:nth-child(-n+4)) {
+  z-index: 30;
+  background: #f8fbff;
+}
+
+.product-breakdown-table.compact-detail-columns :deep(.q-table tbody tr:not(.group-row) td:nth-child(-n+4)) {
+  background: #fff;
+}
+
+.product-breakdown-table.compact-detail-columns :deep(.q-table th:nth-child(1)),
+.product-breakdown-table.compact-detail-columns :deep(.q-table td:nth-child(1)) {
+  left: 0;
+  width: 86px;
+  min-width: 86px;
+  max-width: 86px;
+}
+
+.product-breakdown-table.compact-detail-columns :deep(.q-table th:nth-child(2)),
+.product-breakdown-table.compact-detail-columns :deep(.q-table td:nth-child(2)) {
+  left: 86px;
+  width: 150px;
+  min-width: 150px;
+  max-width: 150px;
+}
+
+.product-breakdown-table.compact-detail-columns :deep(.q-table th:nth-child(3)),
+.product-breakdown-table.compact-detail-columns :deep(.q-table td:nth-child(3)) {
+  left: 236px;
+  width: 112px;
+  min-width: 112px;
+  max-width: 112px;
+}
+
+.product-breakdown-table.compact-detail-columns :deep(.q-table th:nth-child(4)),
+.product-breakdown-table.compact-detail-columns :deep(.q-table td:nth-child(4)) {
+  left: 348px;
+  width: 132px;
+  min-width: 132px;
+  max-width: 132px;
+  box-shadow: 8px 0 10px -10px rgba(17, 24, 39, 0.45);
+}
+
 .product-breakdown-table.product-detail-table :deep(.q-table) {
   min-width: 2620px;
 }
@@ -5651,10 +6420,14 @@ onBeforeUnmount(() => {
   font-variant-numeric: tabular-nums;
 }
 
-.product-breakdown-table:not(.product-detail-table) :deep(.q-table th:nth-child(n+11):not(.text-right)),
-.product-breakdown-table:not(.product-detail-table) :deep(.q-table td:nth-child(n+11):not(.text-right)),
+.product-breakdown-table:not(.product-detail-table):not(.compact-detail-columns) :deep(.q-table th:nth-child(n+11):not(.text-right)),
+.product-breakdown-table:not(.product-detail-table):not(.compact-detail-columns) :deep(.q-table td:nth-child(n+11):not(.text-right)),
+.product-breakdown-table.compact-detail-columns :deep(.q-table th:nth-child(n+5):not(.text-right)),
+.product-breakdown-table.compact-detail-columns :deep(.q-table td:nth-child(n+5):not(.text-right)),
 .sticky-dim-table.sticky-dim-3 :deep(.q-table th:nth-child(n+4):not(.text-right)),
 .sticky-dim-table.sticky-dim-3 :deep(.q-table td:nth-child(n+4):not(.text-right)),
+.sticky-dim-table.sticky-dim-4 :deep(.q-table th:nth-child(n+5):not(.text-right)),
+.sticky-dim-table.sticky-dim-4 :deep(.q-table td:nth-child(n+5):not(.text-right)),
 .sticky-dim-table.sticky-dim-5 :deep(.q-table th:nth-child(n+6):not(.text-right)),
 .sticky-dim-table.sticky-dim-5 :deep(.q-table td:nth-child(n+6):not(.text-right)),
 .sticky-dim-table.sticky-dim-6 :deep(.q-table th:nth-child(n+7):not(.text-right)),
@@ -5734,6 +6507,8 @@ onBeforeUnmount(() => {
 
 .sticky-dim-table.sticky-dim-3 :deep(.q-table th:nth-child(-n+3)),
 .sticky-dim-table.sticky-dim-3 :deep(.q-table td:nth-child(-n+3)),
+.sticky-dim-table.sticky-dim-4 :deep(.q-table th:nth-child(-n+4)),
+.sticky-dim-table.sticky-dim-4 :deep(.q-table td:nth-child(-n+4)),
 .sticky-dim-table.sticky-dim-5 :deep(.q-table th:nth-child(-n+5)),
 .sticky-dim-table.sticky-dim-5 :deep(.q-table td:nth-child(-n+5)),
 .sticky-dim-table.sticky-dim-6 :deep(.q-table th:nth-child(-n+6)),
@@ -5753,6 +6528,7 @@ onBeforeUnmount(() => {
 }
 
 .sticky-dim-table.sticky-dim-3 :deep(.q-table th:nth-child(-n+3)),
+.sticky-dim-table.sticky-dim-4 :deep(.q-table th:nth-child(-n+4)),
 .sticky-dim-table.sticky-dim-5 :deep(.q-table th:nth-child(-n+5)),
 .sticky-dim-table.sticky-dim-6 :deep(.q-table th:nth-child(-n+6)),
 .sticky-dim-table.sticky-dim-7 :deep(.q-table th:nth-child(-n+7)),
@@ -5770,6 +6546,8 @@ onBeforeUnmount(() => {
 
 .sticky-dim-table.sticky-dim-3 :deep(.q-table th:nth-child(3)),
 .sticky-dim-table.sticky-dim-3 :deep(.q-table td:nth-child(3)),
+.sticky-dim-table.sticky-dim-4 :deep(.q-table th:nth-child(4)),
+.sticky-dim-table.sticky-dim-4 :deep(.q-table td:nth-child(4)),
 .sticky-dim-table.sticky-dim-5 :deep(.q-table th:nth-child(5)),
 .sticky-dim-table.sticky-dim-5 :deep(.q-table td:nth-child(5)),
 .sticky-dim-table.sticky-dim-6 :deep(.q-table th:nth-child(6)),

ui/src/pages/ProductStockByAttributes.vue

@@ -423,7 +423,6 @@ const productImageListByCode = ref({})
 const productImageListLoading = ref({})
 const productImageFallbackByKey = ref({})
 const productImageContentLoading = ref({})
-const productImageBlobUrls = ref([])
 const productImageListBlockedUntil = ref(0)
 const productCardDialog = ref(false)
 const productCardData = ref({})
@@ -637,14 +636,9 @@ function resolveProductImageUrl(item) {
   }
 
   let contentUrl = ''
-  const imageId = Number(item.id || item.ID || 0)
-  if (Number.isFinite(imageId) && imageId > 0) {
-    contentUrl = `/api/product-images/${imageId}/content`
-  } else {
   const contentURL = String(item.content_url || item.ContentURL || '').trim()
   if (contentURL.startsWith('/api/')) contentUrl = contentURL
   else if (contentURL.startsWith('/')) contentUrl = `/api${contentURL}`
-  }
 
   const uploadsPath = normalizeUploadsPath(item.storage_path || item.storage || '')
   let publicUrl = ''
@@ -708,23 +702,12 @@ function clearGalleryQueryIndex() {
 async function resolveProductImageUrlForCarousel(item) {
   const resolved = resolveProductImageUrl(item)
   const contentUrl = String(resolved.contentUrl || '').trim()
-  if (contentUrl) {
-    try {
-      const blobRes = await api.get(contentUrl, { baseURL: '', responseType: 'blob' })
-      const blob = blobRes?.data
-      if (blob instanceof Blob) {
-        const objectUrl = URL.createObjectURL(blob)
-        productImageBlobUrls.value.push(objectUrl)
-        return objectUrl
-      }
-    } catch {
-      // fall through to public url
-    }
-  }
-  const fullUrl = String(resolved.fullUrl || '').trim()
-  if (fullUrl) return fullUrl
-  const publicUrl = String(resolved.publicUrl || '').trim()
-  return String(publicUrl || fullUrl || contentUrl || '').trim()
+  if (contentUrl) return contentUrl
+
+  const directUrl = String(resolved.fullUrl || resolved.thumbUrl || resolved.publicUrl || '').trim()
+  if (directUrl) return directUrl
+
+  return ''
 }
 
 function getProductImageUrl(code, color, secondColor = '', dim1Id = '', dim3Id = '') {
@@ -774,9 +757,9 @@ async function flushProductImageBatch() {
       const list = Array.isArray(item.images) ? item.images : []
       const first = list[0] || null
       const resolved = resolveProductImageUrl(first)
-      const url = resolved.thumbUrl || resolved.fullUrl || resolved.publicUrl || resolved.contentUrl || ''
+      const url = resolved.contentUrl || resolved.thumbUrl || resolved.fullUrl || resolved.publicUrl || ''
       productImageCache.value[key] = String(url || '').trim()
-      productImageFallbackByKey.value[key] = resolved.fullUrl || resolved.publicUrl || resolved.contentUrl || ''
+      productImageFallbackByKey.value[key] = resolved.thumbUrl || resolved.fullUrl || resolved.publicUrl || ''
       if (queued) productImageListByCode.value[queued.listKey] = list
       delete productImageLoading.value[key]
     }
@@ -865,11 +848,11 @@ async function ensureProductImage(code, color, secondColor = '', dim1Id = '', di
 
     productImageCache.value[key] = String(
       preferredCardUrl ||
-      primaryResolved.fullUrl || primaryResolved.publicUrl || primaryResolved.thumbUrl || primaryResolved.contentUrl ||
-      secondaryResolved.fullUrl || secondaryResolved.publicUrl || secondaryResolved.thumbUrl || secondaryResolved.contentUrl ||
+      primaryResolved.contentUrl || primaryResolved.fullUrl || primaryResolved.publicUrl || primaryResolved.thumbUrl ||
+      secondaryResolved.contentUrl || secondaryResolved.fullUrl || secondaryResolved.publicUrl || secondaryResolved.thumbUrl ||
       ''
     ).trim()
-    productImageFallbackByKey.value[key] = primaryResolved.fullUrl || primaryResolved.publicUrl || primaryResolved.contentUrl || secondaryResolved.fullUrl || secondaryResolved.publicUrl || secondaryResolved.contentUrl || ''
+    productImageFallbackByKey.value[key] = primaryResolved.fullUrl || primaryResolved.publicUrl || primaryResolved.thumbUrl || secondaryResolved.fullUrl || secondaryResolved.publicUrl || secondaryResolved.thumbUrl || ''
   } catch (err) {
     console.warn('[ProductStockByAttributes] product image fetch failed', { code, color, err })
     productImageCache.value[key] = ''
@@ -1581,10 +1564,6 @@ onUnmounted(() => {
     clearTimeout(filterOptionsDebounceTimer)
     filterOptionsDebounceTimer = null
   }
-  for (const url of productImageBlobUrls.value) {
-    try { URL.revokeObjectURL(url) } catch {}
-  }
-  productImageBlobUrls.value = []
 })
 
 </script>

ui/src/pages/ProductStockQuery.vue

@@ -390,7 +390,6 @@ const productImageListByCode = ref({})
 const productImageListLoading = ref({})
 const productImageFallbackByKey = ref({})
 const productImageContentLoading = ref({})
-const productImageBlobUrls = ref([])
 const productImageListBlockedUntil = ref(0)
 const productCardDialog = ref(false)
 const productCardData = ref({})
@@ -618,14 +617,9 @@ function resolveProductImageUrl(item) {
   }
 
   let contentUrl = ''
-  const imageId = Number(item.id || item.ID || 0)
-  if (Number.isFinite(imageId) && imageId > 0) {
-    contentUrl = `/api/product-images/${imageId}/content`
-  } else {
   const contentURL = String(item.content_url || item.ContentURL || '').trim()
   if (contentURL.startsWith('/api/')) contentUrl = contentURL
   else if (contentURL.startsWith('/')) contentUrl = `/api${contentURL}`
-  }
 
   const uploadsPath = normalizeUploadsPath(item.storage_path || item.storage || '')
   let publicUrl = ''
@@ -687,23 +681,12 @@ function clearGalleryQueryIndex() {
 async function resolveProductImageUrlForCarousel(item) {
   const resolved = resolveProductImageUrl(item)
   const contentUrl = String(resolved.contentUrl || '').trim()
-  if (contentUrl) {
-    try {
-      const blobRes = await api.get(contentUrl, { baseURL: '', responseType: 'blob' })
-      const blob = blobRes?.data
-      if (blob instanceof Blob) {
-        const objectUrl = URL.createObjectURL(blob)
-        productImageBlobUrls.value.push(objectUrl)
-        return objectUrl
-      }
-    } catch {
-      // fall through to public url
-    }
-  }
-  const fullUrl = String(resolved.fullUrl || '').trim()
-  if (fullUrl) return fullUrl
-  const publicUrl = String(resolved.publicUrl || '').trim()
-  return String(publicUrl || fullUrl || contentUrl || '').trim()
+  if (contentUrl) return contentUrl
+
+  const directUrl = String(resolved.fullUrl || resolved.thumbUrl || resolved.publicUrl || '').trim()
+  if (directUrl) return directUrl
+
+  return ''
 }
 
 function getProductImageUrl(code, color, secondColor = '', dim1Id = '', dim3Id = '') {
@@ -753,9 +736,9 @@ async function flushProductImageBatch() {
       const list = Array.isArray(item.images) ? item.images : []
       const first = list[0] || null
       const resolved = resolveProductImageUrl(first)
-      const url = resolved.thumbUrl || resolved.fullUrl || resolved.publicUrl || resolved.contentUrl || ''
+      const url = resolved.contentUrl || resolved.thumbUrl || resolved.fullUrl || resolved.publicUrl || ''
       productImageCache.value[key] = String(url || '').trim()
-      productImageFallbackByKey.value[key] = resolved.fullUrl || resolved.publicUrl || resolved.contentUrl || ''
+      productImageFallbackByKey.value[key] = resolved.thumbUrl || resolved.fullUrl || resolved.publicUrl || ''
       if (queued) productImageListByCode.value[queued.listKey] = list
       delete productImageLoading.value[key]
     }
@@ -841,11 +824,11 @@ async function ensureProductImage(code, color, secondColor = '', dim1Id = '', di
     const secondaryResolved = resolveProductImageUrl(secondaryItem)
     productImageCache.value[key] = String(
       preferredCardUrl ||
-      primaryResolved.fullUrl || primaryResolved.publicUrl || primaryResolved.thumbUrl || primaryResolved.contentUrl ||
-      secondaryResolved.fullUrl || secondaryResolved.publicUrl || secondaryResolved.thumbUrl || secondaryResolved.contentUrl ||
+      primaryResolved.contentUrl || primaryResolved.fullUrl || primaryResolved.publicUrl || primaryResolved.thumbUrl ||
+      secondaryResolved.contentUrl || secondaryResolved.fullUrl || secondaryResolved.publicUrl || secondaryResolved.thumbUrl ||
       ''
     ).trim()
-    productImageFallbackByKey.value[key] = primaryResolved.fullUrl || primaryResolved.publicUrl || primaryResolved.contentUrl || secondaryResolved.fullUrl || secondaryResolved.publicUrl || secondaryResolved.contentUrl || ''
+    productImageFallbackByKey.value[key] = primaryResolved.fullUrl || primaryResolved.publicUrl || primaryResolved.thumbUrl || secondaryResolved.fullUrl || secondaryResolved.publicUrl || secondaryResolved.thumbUrl || ''
   } catch (err) {
     console.warn('[ProductStockQuery] product image fetch failed', { code, color, err })
     productImageCache.value[key] = ''
@@ -1379,10 +1362,6 @@ function resetForm() {
 onUnmounted(() => {
   window.removeEventListener('mousemove', onFullscreenMouseMove)
   window.removeEventListener('mouseup', onFullscreenMouseUp)
-  for (const url of productImageBlobUrls.value) {
-    try { URL.revokeObjectURL(url) } catch {}
-  }
-  productImageBlobUrls.value = []
 })
 
 onMounted(async () => {

ui/src/pages/ProductionProductCostingHasCost.vue

@@ -40,6 +40,14 @@
             :loading="loading"
             @click="fetchRows"
           />
+          <q-btn
+            label="Excel'e Aktar"
+            icon="download"
+            color="primary"
+            outline
+            :disable="loading || rows.length === 0"
+            @click="exportVisibleRows"
+          />
         </div>
       </div>
     </div>
@@ -141,7 +149,7 @@
 </template>
 
 <script setup>
-import { computed, onMounted, reactive, ref, watch } from 'vue'
+import { computed, nextTick, onMounted, reactive, ref, watch } from 'vue'
 import { useRouter } from 'vue-router'
 import { usePermission } from 'src/composables/usePermission'
 import { get, extractApiErrorDetail } from 'src/services/api'
@@ -168,6 +176,10 @@ const dateColumns = new Set(['Tarihi', 'dteKayitTarihi', 'dteGuncellemeTarihi',
 const columns = [
   { name: 'open', label: '', field: 'open', align: 'center', sortable: false, style: 'width:3%', headerStyle: 'width:3%' },
   { name: 'UretimSekli', label: 'Uretim Sekli', field: 'UretimSekli', align: 'left', sortable: true, style: 'width:9%', headerStyle: 'width:9%' },
+  { name: 'nUrtSiparisNo', label: 'Uretim Siparis No', field: 'nUrtSiparisNo', align: 'left', sortable: true, style: 'width:6%', headerStyle: 'width:6%' },
+  { name: 'ceketDepoGiris', label: 'C-Ceket Depo Giris', field: 'ceketDepoGiris', align: 'right', sortable: true, format: val => formatMoney(val), style: 'width:6%', headerStyle: 'width:6%' },
+  { name: 'pantolonDepoGiris', label: 'P-Pantolon Depo Giris', field: 'pantolonDepoGiris', align: 'right', sortable: true, format: val => formatMoney(val), style: 'width:6%', headerStyle: 'width:6%' },
+  { name: 'yelekDepoGiris', label: 'Y-Yelek Depo Giris', field: 'yelekDepoGiris', align: 'right', sortable: true, format: val => formatMoney(val), style: 'width:6%', headerStyle: 'width:6%' },
   { name: 'nOnMLNo', label: 'nOnMLNo', field: 'nOnMLNo', align: 'left', sortable: true, style: 'width:6%', headerStyle: 'width:6%' },
   { name: 'UrunKodu', label: 'UrunKodu', field: 'UrunKodu', align: 'left', sortable: true, style: 'width:7%', headerStyle: 'width:7%' },
   { name: 'UrunAdi', label: 'UrunAdi', field: 'UrunAdi', align: 'left', sortable: true, style: 'width:8%', headerStyle: 'width:8%' },
@@ -186,6 +198,30 @@ const columns = [
 ]
 
 const columnFilters = reactive({})
+const LIST_STATE_STORAGE_KEY = 'bssapp:production-product-costing:has-cost-list-state:v1'
+
+function persistListState () {
+  try {
+    sessionStorage.setItem(LIST_STATE_STORAGE_KEY, JSON.stringify({
+      filters: { search: String(filters.search || '') },
+      columnFilters: JSON.parse(JSON.stringify(columnFilters)),
+      pagination: { ...tablePagination.value }
+    }))
+  } catch {}
+}
+
+function restoreListState () {
+  try {
+    const raw = sessionStorage.getItem(LIST_STATE_STORAGE_KEY)
+    if (!raw) return
+    const saved = JSON.parse(raw)
+    filters.search = String(saved?.filters?.search || '')
+    Object.assign(columnFilters, saved?.columnFilters && typeof saved.columnFilters === 'object' ? saved.columnFilters : {})
+    if (saved?.pagination && typeof saved.pagination === 'object') {
+      tablePagination.value = { ...tablePagination.value, ...saved.pagination }
+    }
+  } catch {}
+}
 
 function getColumnFilter (name) {
   if (!columnFilters[name]) {
@@ -293,9 +329,11 @@ function clearAllColumnFilters () {
 }
 
 let searchTimer = null
+let filterWatchEnabled = false
 watch(
   () => filters.search,
   () => {
+    if (!filterWatchEnabled) return
     clearTimeout(searchTimer)
     searchTimer = setTimeout(() => {
       fetchRows()
@@ -348,19 +386,66 @@ function clearFilters () {
   fetchRows()
 }
 
+function escapeExcelCsvCell (value) {
+  let text = String(value ?? '')
+  // Prevent spreadsheet applications from evaluating data as a formula.
+  if (/^[=+\-@]/.test(text)) text = `'${text}`
+  return `"${text.replace(/"/g, '""')}"`
+}
+
+const excelNumericColumns = new Set(['ceketDepoGiris', 'pantolonDepoGiris', 'yelekDepoGiris', 'lTutarTL', 'lTutarUSD', 'lTutarEURO'])
+
+function formatExcelCsvCell (col, rawValue, displayValue) {
+  if (excelNumericColumns.has(col?.name)) {
+    const numericValue = Number(rawValue)
+    if (Number.isFinite(numericValue)) return String(numericValue).replace('.', ',')
+  }
+  return escapeExcelCsvCell(displayValue)
+}
+
+function exportVisibleRows () {
+  const visibleRows = Array.isArray(rows.value) ? rows.value : []
+  if (visibleRows.length === 0) return
+
+  const exportColumns = columns.filter(col => col.name !== 'open')
+  const csvLines = [
+    exportColumns.map(col => escapeExcelCsvCell(col.label)).join(';'),
+    ...visibleRows.map(row => exportColumns.map(col => {
+      const rawValue = typeof col.field === 'function' ? col.field(row) : row?.[col.field]
+      const displayValue = typeof col.format === 'function' ? col.format(rawValue, row) : rawValue
+      return formatExcelCsvCell(col, rawValue, displayValue)
+    }).join(';'))
+  ]
+
+  const blob = new Blob([`\uFEFF${csvLines.join('\r\n')}`], { type: 'text/csv;charset=utf-8;' })
+  const url = URL.createObjectURL(blob)
+  const link = document.createElement('a')
+  link.href = url
+  link.download = `mevcut_maliyetli_urunler_${new Date().toISOString().slice(0, 10)}.csv`
+  document.body.appendChild(link)
+  link.click()
+  link.remove()
+  URL.revokeObjectURL(url)
+}
+
 function openRow (row) {
   const urunKodu = String(row?.UrunKodu || '').trim()
   if (!urunKodu) return
 
+  persistListState()
+
   router.push({
     name: 'production-product-costing-has-cost-history',
     query: { urun_kodu: urunKodu }
   })
 }
 
-onMounted(() => {
+onMounted(async () => {
   if (!canReadOrder.value) return
-  fetchRows()
+  restoreListState()
+  await nextTick()
+  filterWatchEnabled = true
+  await fetchRows()
 })
 </script>
 

ui/src/pages/ProductionProductCostingHasCostDetail.vue

@@ -469,7 +469,16 @@
             </span>
           </div>
           <div class="sub-right pcd-sub-right-clickable" @click="toggleGroup(grp, gi)">
-            Grup Toplami TRY: {{ formatBarMoney(resolveGroupTRYTutar(grp)) }} | USD: {{ formatBarMoney(resolveGroupUSDTutar(grp)) }}
+            <span class="pcd-group-total-text">
+              Grup Toplamı TRY: {{ formatBarMoney(resolveGroupTRYTutar(gi, groupTotalsRevision)) }}
+              <span class="pcd-group-total-divider">|</span>
+              USD: {{ formatBarMoney(resolveGroupUSDTutar(gi, groupTotalsRevision)) }}
+            </span>
+            <span class="pcd-group-debug">
+              Tanı: {{ resolveRenderedGroupIncludedCount(gi) }}/{{ resolveRenderedGroupRowCount(gi) }} kalem
+              <span>|</span>
+              Ham TRY: {{ formatBarMoney(resolveGroupTRYTutar(gi, groupTotalsRevision)) }}
+            </span>
             <q-icon
               :name="isGroupOpen(grp, gi) ? 'expand_less' : 'expand_more'"
               size="18px"
@@ -1116,6 +1125,8 @@ const canReadOrder = canRead('order')
 const detailLoading = ref(false)
 const detailError = ref('')
 const detailGroups = ref([])
+const groupTotalsRevision = ref(0)
+const renderedGroupAmounts = ref({})
 const detailHeader = ref(null)
 const costDate = ref('')
 const exchangeRates = ref(createEmptyExchangeRates())
@@ -1557,8 +1568,14 @@ function ensureBeforeUnloadGuard (enabled) {
     return ''
   }
 }
+function shouldIncludeRowInCostingTotal (row) {
+  // The explicit "Maliyete Dahil" selection is authoritative for the top
+  // header and the amount persisted to spUrtOnMLMas, including CM rows.
+  return normalizeBooleanFlag(row?.maliyeteDahil ?? row?.maliyete_dahil ?? row?.Maliyete_dahil)
+}
+
 const toolbarSummary = computed(() => flatDetailRows.value.reduce((acc, row) => {
-  if (!row?.maliyeteDahil) return acc
+  if (!shouldIncludeRowInCostingTotal(row)) return acc
   acc.tryTotal += resolveRowTRYTutar(row)
   acc.usdTotal += resolveRowUSDTutar(row)
   acc.eurTotal += resolveRowEURTutar(row)
@@ -2694,7 +2711,9 @@ function normalizeDetailRows (items, groupName = '') {
       // Use fiyat_girilen which is the unit price in original currency.
       inputPrice: x?.inputPrice ?? normalizeInputPrice(x?.fiyat_girilen),
       inputPricePrBr: originalCurrency,
-      maliyeteDahil: x?.maliyeteDahil ?? normalizeBooleanFlag(x?.maliyete_dahil ?? x?.Maliyete_dahil),
+      maliyeteDahil: normalizeBooleanFlag(x?.maliyeteDahil ?? x?.maliyete_dahil ?? x?.Maliyete_dahil),
+      __lastValidTRYAmount: parseMoneyInput(x?.lTutar ?? x?.lTutarTL),
+      __lastValidUSDAmount: parseMoneyInput(x?.usdTutar ?? x?.lTutarUSD),
       cmPriceTypeId: normalizeCMPriceTypeId(x?.cmPriceTypeId ?? x?.cm_price_type_id, groupName || x?.sAciklama3),
       draftChanged: Boolean(x?.draftChanged),
       priceUpdateState: String(x?.priceUpdateState || '').trim()
@@ -2796,6 +2815,13 @@ function recalculateDetailRow (row, options = {}) {
   row.lTutarGBP = row.gbpTutar
   row.lTutarTL = row.lTutar
 
+  if (row.lTutar !== 0 || options.markChanged) {
+    row.__lastValidTRYAmount = row.lTutar
+  }
+  if (row.usdTutar !== 0 || options.markChanged) {
+    row.__lastValidUSDAmount = row.usdTutar
+  }
+
   if (!options.preserveInputs) {
     row.miktarInput = normalizeQuantityInput(quantity)
     row.inputPrice = normalizeInputPrice(inputPrice)
@@ -2821,54 +2847,150 @@ function recalculateAllDetailRows () {
     ...grp,
     items: (Array.isArray(grp?.items) ? grp.items : []).map(row => recalculateDetailRow({ ...row }, { preserveInputs: true }))
   }))
+  refreshLiveGroupTotals()
 }
 
 function resolveRowTRYTutar (row) {
-  const tryAmount = Number(row?.lTutar || 0)
-  return Number.isFinite(tryAmount) ? tryAmount : 0
+  const quantity = resolveNumericRowQuantity(row)
+  const inputPrice = resolveNumericRowInputPrice(row)
+  const inputCurrency = resolveInputCurrency(row)
+  const liveAmount = resolveTRYUnitPriceByInput(
+    inputPrice,
+    inputCurrency,
+    resolveExchangeRateValue('USD'),
+    resolveExchangeRateValue('EUR'),
+    resolveExchangeRateValue('GBP')
+  ) * quantity
+
+  if (Number.isFinite(liveAmount) && inputPrice > 0) return liveAmount
+  return parseMoneyInput(row?.lTutar)
 }
 
 function resolveRowEURTutar (row) {
-  const eurAmount = Number(row?.eurTutar || 0)
-  return Number.isFinite(eurAmount) ? eurAmount : 0
+  return parseMoneyInput(row?.eurTutar)
 }
 
 function resolveRowGBPTutar (row) {
-  const gbpAmount = Number(row?.gbpTutar || 0)
-  return Number.isFinite(gbpAmount) ? gbpAmount : 0
+  return parseMoneyInput(row?.gbpTutar)
 }
 
 function resolveRowUSDTutar (row) {
-  const usdAmount = Number(row?.usdTutar || 0)
-  if (Number.isFinite(usdAmount)) return usdAmount
+  const quantity = resolveNumericRowQuantity(row)
+  const inputPrice = resolveNumericRowInputPrice(row)
+  const inputCurrency = resolveInputCurrency(row)
+  const liveAmount = resolveUSDUnitPriceByInput(
+    inputPrice,
+    inputCurrency,
+    resolveExchangeRateValue('USD'),
+    resolveExchangeRateValue('EUR'),
+    resolveExchangeRateValue('GBP')
+  ) * quantity
 
-  const miktar = resolveNumericRowQuantity(row)
-  const dovizFiyati = Number(row?.lDovizFiyati || 0)
-  const calc = miktar * dovizFiyati
+  if (Number.isFinite(liveAmount) && inputPrice > 0) return liveAmount
+
+  const rawUSDAmount = row?.usdTutar
+  if (rawUSDAmount !== undefined && rawUSDAmount !== null && String(rawUSDAmount).trim() !== '') {
+    return parseMoneyInput(rawUSDAmount)
+  }
+
+  const dovizFiyati = parseMoneyInput(row?.lDovizFiyati)
+  const calc = quantity * dovizFiyati
   return Number.isFinite(calc) ? calc : 0
 }
 
-function shouldIgnoreGroupMaliyeteDahil (grp) {
-  return isCMGroupName(grp?.sAciklama3)
-}
-
 function shouldIncludeRowInGroupTotal (grp, row) {
-  return shouldIgnoreGroupMaliyeteDahil(grp) || normalizeBooleanFlag(row?.maliyeteDahil)
+  if (!row) return false
+
+  // CM1/CM2 sub-headers always show their full group value. For every other
+  // group, the explicit "Maliyete Dahil" selection controls the subtotal.
+  if (isCMGroupName(grp?.sAciklama3 || row?.sAciklama3)) return true
+
+  const inclusionValue = row?.maliyeteDahil ?? row?.maliyete_dahil ?? row?.Maliyete_dahil
+  if (inclusionValue === false || inclusionValue === 0) return false
+  const normalizedValue = String(inclusionValue ?? '').trim().toLowerCase()
+  return normalizedValue !== '0' && normalizedValue !== 'false' && normalizedValue !== 'hayir'
 }
 
-function resolveGroupTRYTutar (grp) {
-  const items = Array.isArray(grp?.items) ? grp.items : []
-  return items.reduce((acc, row) => acc + (shouldIncludeRowInGroupTotal(grp, row) ? resolveRowTRYTutar(row) : 0), 0)
+function refreshLiveGroupTotals () {
+  // Totals are derived directly from reactive rows. The revision only forces
+  // Quasar's table/sub-header render after an in-place row edit.
+  groupTotalsRevision.value += 1
 }
 
-function resolveGroupUSDTutar (grp) {
-  const items = Array.isArray(grp?.items) ? grp.items : []
-  return items.reduce((acc, row) => acc + (shouldIncludeRowInGroupTotal(grp, row) ? resolveRowUSDTutar(row) : 0), 0)
+const pendingRenderedAmounts = new Map()
+let renderedAmountFlushScheduled = false
+
+function captureRenderedGroupAmount (groupIndex, grp, row, currency, value) {
+  const rowKey = String(row?.__rowKey || row?.nOnMLDetNo || row?.sKodu || '').trim()
+  const cacheKey = `${groupIndex}:${rowKey}`
+  const previousPending = pendingRenderedAmounts.get(cacheKey) || {}
+  pendingRenderedAmounts.set(cacheKey, {
+    ...previousPending,
+    groupIndex,
+    rowKey,
+    included: shouldIncludeRowInGroupTotal(grp, row),
+    [currency]: parseMoneyInput(value)
+  })
+
+  if (!renderedAmountFlushScheduled) {
+    renderedAmountFlushScheduled = true
+    Promise.resolve().then(() => {
+      const next = { ...renderedGroupAmounts.value }
+      let changed = false
+      pendingRenderedAmounts.forEach(entry => {
+        const groupRows = { ...(next[entry.groupIndex] || {}) }
+        const previous = groupRows[entry.rowKey] || {}
+        if (previous.try !== entry.try || previous.usd !== entry.usd || previous.included !== entry.included) {
+          groupRows[entry.rowKey] = { ...previous, ...entry }
+          changed = true
+        }
+        next[entry.groupIndex] = groupRows
+      })
+      pendingRenderedAmounts.clear()
+      renderedAmountFlushScheduled = false
+      if (changed) {
+        renderedGroupAmounts.value = next
+        groupTotalsRevision.value += 1
+      }
+    })
+  }
+  return ''
+}
+
+function renderedRowsForGroup (groupIndex) {
+  return Object.values(renderedGroupAmounts.value[groupIndex] || {})
+}
+
+function resolveRenderedGroupIncludedCount (groupIndex) {
+  const grp = detailGroups.value[groupIndex]
+  return (Array.isArray(grp?.items) ? grp.items : []).filter(row => shouldIncludeRowInGroupTotal(grp, row)).length
+}
+
+function resolveRenderedGroupRowCount (groupIndex) {
+  const grp = detailGroups.value[groupIndex]
+  return Array.isArray(grp?.items) ? grp.items.length : 0
+}
+
+function resolveGroupTRYTutar (groupIndex, _revision) {
+  const grp = detailGroups.value[groupIndex]
+  return (Array.isArray(grp?.items) ? grp.items : []).reduce((total, row) => {
+    if (!shouldIncludeRowInGroupTotal(grp, row)) return total
+    return total + resolveRowTRYTutar(row)
+  }, 0)
+}
+
+function resolveGroupUSDTutar (groupIndex, _revision) {
+  const grp = detailGroups.value[groupIndex]
+  return (Array.isArray(grp?.items) ? grp.items : []).reduce((total, row) => {
+    if (!shouldIncludeRowInGroupTotal(grp, row)) return total
+    return total + resolveRowUSDTutar(row)
+  }, 0)
 }
 
 function resolveGroupQuantity (grp) {
-  const items = Array.isArray(grp?.items) ? grp.items : []
-  return items.reduce((acc, row) => acc + (Number(row?.lMiktar || 0) || 0), 0)
+  return (Array.isArray(grp?.items) ? grp.items : []).reduce((total, row) => (
+    total + resolveNumericRowQuantity(row)
+  ), 0)
 }
 
 function groupKey (grp, gi) {
@@ -2987,6 +3109,8 @@ async function fetchDetail (options = {}) {
   detailLoading.value = true
   detailError.value = ''
   detailGroups.value = []
+  renderedGroupAmounts.value = {}
+  pendingRenderedAmounts.clear()
   detailHeader.value = null
   costDate.value = ''
   exchangeRates.value = createEmptyExchangeRates()
@@ -3244,7 +3368,7 @@ function onRowQuantityInput (row, value) {
 }
 
 function triggerUIUpdate () {
-  detailGroups.value = [...detailGroups.value]
+  refreshLiveGroupTotals()
 }
 
 function normalizeRowQuantityDisplay (row) {
@@ -3361,6 +3485,9 @@ async function fetchBulkItemPrices () {
         })
       })
     }))
+    // Update sub-headers immediately after the bulk response is applied. Do
+    // not wait for the optional previous-cost autofill request below.
+    triggerUIUpdate()
 
     $q.notify({
       type: appliedCount > 0 ? 'positive' : 'warning',
@@ -3441,6 +3568,7 @@ async function fetchBulkItemPrices () {
             })
           })
         }))
+        triggerUIUpdate()
 
         if (filled > 0) {
           $q.notify({
@@ -3457,6 +3585,11 @@ async function fetchBulkItemPrices () {
         error: String(e?.message || e || '')
       })
     }
+    // Bulk price and previous-cost autofill paths can update many rows at once.
+    // Recalculate once more as a whole so group sub-header totals react immediately.
+    recalculateAllDetailRows()
+    schedulePersistLocalDraft()
+    triggerUIUpdate()
   } catch (err) {
     $q.notify({
       type: 'negative',
@@ -3928,10 +4061,14 @@ async function ensureNoCostRequiredRowsFromMappings (mappings) {
       const groupName = normalizeGroupName(meta?.groupName || '')
       const hammaddeAdi = String(meta?.hammaddeAdi || '').trim()
       const effectiveGroupName = groupName || 'TANIMSIZ'
-      const mtBolumID = (meta?.mtBolumID > 0 ? meta.mtBolumID : mappingMtBolumID) || 0
-      const metaParcaCandidate = normalizeGroupName((meta?.parcaAdi || '').trim())
-      // Defensive: if backend/lookup accidentally returns group label (DT/TP/...) as part name, ignore it.
-      const desiredParcaAdi = normalizeGroupName((metaParcaCandidate && !isKnownGroupName(metaParcaCandidate)) ? metaParcaCandidate : mappingParcaAdi)
+      // The product-type mapping is authoritative for the required part. A raw
+      // material type can be required for multiple parts, while its master
+      // record only carries one default MT section. Using that default here
+      // incorrectly made an existing recipe row satisfy every mapped part.
+      const mtBolumID = mappingMtBolumID > 0 ? mappingMtBolumID : (meta?.mtBolumID || 0)
+      const desiredParcaAdi = mappingMtBolumID > 0
+        ? mappingParcaAdi
+        : normalizeGroupName(meta?.parcaAdi || mappingParcaAdi)
 
       const anyMatch = flatDetailRows.value.find(r => {
         if (normalizeHammaddeNo(r?.nHammaddeTuruNo) !== hNo) return false
@@ -5062,13 +5199,31 @@ async function saveChanges () {
 
     // If we created a new OnML (no-cost), switch to has-cost detail mode.
     if (isNoCostDetail.value && newOnMLNo > 0) {
-      router.replace({
+      await router.replace({
         name: 'production-product-costing-has-cost-detail',
         query: {
           n_onml_no: String(newOnMLNo),
           urun_kodu: String(header?.UrunKodu || productCode.value || '').trim()
         }
       })
+
+      $q.dialog({
+        title: 'Maliyet Kaydedildi',
+        message: 'Maliyeti olmayan urunler listesine donup kaldiginiz yerden devam etmek ister misiniz?',
+        ok: {
+          label: 'Listeye Don',
+          color: 'primary',
+          icon: 'arrow_back'
+        },
+        cancel: {
+          label: 'Bu Sayfada Devam Et',
+          color: 'grey-7',
+          flat: true
+        },
+        persistent: true
+      }).onOk(() => {
+        router.push({ name: 'production-product-costing-no-cost' })
+      })
       return
     }
 
@@ -5078,6 +5233,24 @@ async function saveChanges () {
     window.setTimeout(() => {
       try { refreshLast10Warnings() } catch {}
     }, 1200)
+
+    $q.dialog({
+      title: 'Maliyet Guncellendi',
+      message: 'Mevcut maliyeti olan urunler listesine donup kaldiginiz yerden devam etmek ister misiniz?',
+      ok: {
+        label: 'Listeye Don',
+        color: 'primary',
+        icon: 'arrow_back'
+      },
+      cancel: {
+        label: 'Bu Sayfada Devam Et',
+        color: 'grey-7',
+        flat: true
+      },
+      persistent: true
+    }).onOk(() => {
+      router.push({ name: 'production-product-costing-has-cost' })
+    })
   } catch (e) {
     // Surface backend message (http.Error text) when available.
     const msg = String(
@@ -5526,8 +5699,8 @@ watch(
   justify-content: space-between;
   gap: 8px;
   padding: 8px 10px;
-  min-height: 42px;
-  height: 42px;
+  min-height: 46px;
+  height: auto;
   border-top: 1px solid #d6c06a;
   border-bottom: 1px solid #d6c06a;
   background: linear-gradient(90deg, #fffbe9 0%, #fff4c4 50%, #fff1b0 100%);
@@ -5549,7 +5722,9 @@ watch(
   display: flex;
   align-items: center;
   justify-content: flex-end;
-  flex-wrap: nowrap;
+  flex-wrap: wrap;
+  row-gap: 4px;
+  max-width: 70%;
 }
 .pcd-sub-header .sub-left {
   display: flex;
@@ -5566,8 +5741,31 @@ watch(
   user-select: none;
   display: inline-flex;
   align-items: center;
-  gap: 8px;
-  flex-wrap: nowrap;
+  gap: 6px 10px;
+  flex-wrap: wrap;
+}
+.pcd-group-total-text {
+  color: #2f2408;
+  font-size: 13px;
+  font-weight: 900;
+  white-space: nowrap;
+}
+.pcd-group-total-divider {
+  margin: 0 4px;
+  color: #8d6d13;
+}
+.pcd-group-debug {
+  display: inline-flex;
+  align-items: center;
+  gap: 5px;
+  padding: 2px 7px;
+  border: 1px solid rgba(180, 35, 24, 0.35);
+  border-radius: 5px;
+  color: #8f1d14;
+  background: rgba(255, 255, 255, 0.78);
+  font-size: 11px;
+  font-weight: 800;
+  text-transform: none;
   white-space: nowrap;
 }
 .pcd-sub-mt-qty {
@@ -5577,6 +5775,18 @@ watch(
   font-weight: 900;
 }
 
+@media (max-width: 900px) {
+  .pcd-sub-header {
+    align-items: flex-start;
+  }
+  .pcd-sub-header .sub-right {
+    max-width: 78%;
+  }
+  .pcd-group-debug {
+    flex-basis: auto;
+  }
+}
+
 .pcd-detail-table :deep(.q-table__middle) {
   overflow: visible !important;
 }
@@ -5717,12 +5927,69 @@ watch(
 }
 
 .pcd-history-table :deep(.q-table thead th) {
-  font-size: 12px;
+  font-size: 9.5px;
+  line-height: 1.1;
+  white-space: normal;
+  padding: 3px 2px;
 }
 
 .pcd-history-table :deep(.q-table tbody td) {
-  font-size: 12px;
+  font-size: 9.5px;
   vertical-align: top;
+  padding: 2px;
+  white-space: normal;
+  overflow: hidden;
+  text-overflow: ellipsis;
+  word-break: break-word;
+}
+
+.pcd-history-table :deep(.q-table__middle) {
+  width: 100%;
+  max-width: 100%;
+  overflow-x: hidden;
+}
+
+.pcd-history-table :deep(.q-table) {
+  table-layout: fixed;
+  width: 100%;
+  min-width: 0;
+}
+
+.pcd-history-table :deep(.q-table th),
+.pcd-history-table :deep(.q-table td) {
+  min-width: 0 !important;
+}
+
+.pcd-history-table :deep(.q-table th:nth-child(1)), .pcd-history-table :deep(.q-table td:nth-child(1)) { width: 5% !important; }
+.pcd-history-table :deep(.q-table th:nth-child(2)), .pcd-history-table :deep(.q-table td:nth-child(2)) { width: 6% !important; }
+.pcd-history-table :deep(.q-table th:nth-child(3)), .pcd-history-table :deep(.q-table td:nth-child(3)) { width: 7% !important; }
+.pcd-history-table :deep(.q-table th:nth-child(4)), .pcd-history-table :deep(.q-table td:nth-child(4)) { width: 6% !important; }
+.pcd-history-table :deep(.q-table th:nth-child(5)), .pcd-history-table :deep(.q-table td:nth-child(5)) { width: 8% !important; }
+.pcd-history-table :deep(.q-table th:nth-child(6)), .pcd-history-table :deep(.q-table td:nth-child(6)) { width: 7% !important; }
+.pcd-history-table :deep(.q-table th:nth-child(7)), .pcd-history-table :deep(.q-table td:nth-child(7)) { width: 10% !important; }
+.pcd-history-table :deep(.q-table th:nth-child(8)), .pcd-history-table :deep(.q-table td:nth-child(8)) { width: 5% !important; }
+.pcd-history-table :deep(.q-table th:nth-child(9)), .pcd-history-table :deep(.q-table td:nth-child(9)) { width: 7% !important; }
+.pcd-history-table :deep(.q-table th:nth-child(10)), .pcd-history-table :deep(.q-table td:nth-child(10)) { width: 5% !important; }
+.pcd-history-table :deep(.q-table th:nth-child(11)), .pcd-history-table :deep(.q-table td:nth-child(11)) { width: 7% !important; }
+.pcd-history-table :deep(.q-table th:nth-child(12)), .pcd-history-table :deep(.q-table td:nth-child(12)) { width: 5% !important; }
+.pcd-history-table :deep(.q-table th:nth-child(13)), .pcd-history-table :deep(.q-table td:nth-child(13)) { width: 3% !important; }
+.pcd-history-table :deep(.q-table th:nth-child(14)), .pcd-history-table :deep(.q-table td:nth-child(14)) { width: 5% !important; }
+.pcd-history-table :deep(.q-table th:nth-child(15)), .pcd-history-table :deep(.q-table td:nth-child(15)) { width: 6% !important; }
+.pcd-history-table :deep(.q-table th:nth-child(16)), .pcd-history-table :deep(.q-table td:nth-child(16)) { width: 4% !important; }
+.pcd-history-table :deep(.q-table th:nth-child(17)), .pcd-history-table :deep(.q-table td:nth-child(17)) { width: 4% !important; }
+
+.pcd-history-table :deep(.pcd-history-source-chip) {
+  min-width: 0;
+  max-width: 100%;
+  padding: 2px 4px;
+  font-size: 9px;
+}
+
+.pcd-history-table :deep(.q-btn) {
+  min-width: 0;
+  padding-left: 5px;
+  padding-right: 5px;
+  font-size: 9px;
 }
 
 .pcd-history-table :deep(.pcd-history-row-purchase td) {

ui/src/pages/ProductionProductCostingNoCost.vue

@@ -49,6 +49,14 @@
             :loading="loading"
             @click="fetchRows"
           />
+          <q-btn
+            label="Excel'e Aktar"
+            icon="download"
+            color="primary"
+            outline
+            :disable="loading || rows.length === 0"
+            @click="exportVisibleRows"
+          />
           <div class="npc-missing-count text-caption text-grey-7">
             Maliyeti Girilmemis Satir Sayisi: <b>{{ missingCostRowCount }}</b>
           </div>
@@ -176,7 +184,7 @@
 </template>
 
 <script setup>
-import { computed, onMounted, reactive, ref, watch } from 'vue'
+import { computed, nextTick, onMounted, reactive, ref, watch } from 'vue'
 import { useQuasar } from 'quasar'
 import { useRouter } from 'vue-router'
 import { usePermission } from 'src/composables/usePermission'
@@ -244,6 +252,9 @@ const columns = [
     style: 'width:7%',
     headerStyle: 'width:7%'
   },
+  { name: 'ceketDepoGiris', label: 'C-Ceket Depo Giris', field: 'ceketDepoGiris', align: 'right', sortable: true, format: val => formatQuantity(val), style: 'width:7%', headerStyle: 'width:7%' },
+  { name: 'pantolonDepoGiris', label: 'P-Pantolon Depo Giris', field: 'pantolonDepoGiris', align: 'right', sortable: true, format: val => formatQuantity(val), style: 'width:7%', headerStyle: 'width:7%' },
+  { name: 'yelekDepoGiris', label: 'Y-Yelek Depo Giris', field: 'yelekDepoGiris', align: 'right', sortable: true, format: val => formatQuantity(val), style: 'width:7%', headerStyle: 'width:7%' },
   {
     name: 'sMModelKodu',
     label: 'Model Kodu',
@@ -262,6 +273,34 @@ const columns = [
 ]
 
 const columnFilters = reactive({})
+const LIST_STATE_STORAGE_KEY = 'bssapp:production-product-costing:no-cost-list-state:v1'
+
+function persistListState () {
+  try {
+    sessionStorage.setItem(LIST_STATE_STORAGE_KEY, JSON.stringify({
+      filters: {
+        search: String(filters.search || ''),
+        fromDate: String(filters.fromDate || '')
+      },
+      columnFilters: JSON.parse(JSON.stringify(columnFilters)),
+      scrollY: Number(window.scrollY || 0)
+    }))
+  } catch {}
+}
+
+function restoreListState () {
+  try {
+    const raw = sessionStorage.getItem(LIST_STATE_STORAGE_KEY)
+    if (!raw) return 0
+    const saved = JSON.parse(raw)
+    filters.search = String(saved?.filters?.search || '')
+    filters.fromDate = String(saved?.filters?.fromDate || '2025-06-01')
+    Object.assign(columnFilters, saved?.columnFilters && typeof saved.columnFilters === 'object' ? saved.columnFilters : {})
+    return Number(saved?.scrollY || 0)
+  } catch {
+    return 0
+  }
+}
 
 function getColumnFilter (name) {
   if (!columnFilters[name]) {
@@ -276,7 +315,11 @@ function getColumnFilter (name) {
 }
 
 function isNumericColumn (name) {
-  return name === 'lMMiktar_G'
+  return ['lMMiktar_G', 'ceketDepoGiris', 'pantolonDepoGiris', 'yelekDepoGiris'].includes(name)
+}
+
+function formatQuantity (value) {
+  return Number(value || 0).toLocaleString('tr-TR', { minimumFractionDigits: 2, maximumFractionDigits: 2 })
 }
 
 function parseNumberFilter (value) {
@@ -384,9 +427,11 @@ function clearAllColumnFilters () {
 }
 
 let searchTimer = null
+let filterWatchEnabled = false
 watch(
   () => filters.search,
   () => {
+    if (!filterWatchEnabled) return
     clearTimeout(searchTimer)
     searchTimer = setTimeout(() => {
       fetchRows()
@@ -397,6 +442,7 @@ watch(
 watch(
   () => filters.fromDate,
   () => {
+    if (!filterWatchEnabled) return
     fetchRows()
   }
 )
@@ -430,6 +476,49 @@ function clearFilters () {
   fetchRows()
 }
 
+function escapeExcelCsvCell (value) {
+  let text = String(value ?? '')
+  // Prevent spreadsheet applications from evaluating data as a formula.
+  if (/^[=+\-@]/.test(text)) text = `'${text}`
+  return `"${text.replace(/"/g, '""')}"`
+}
+
+function formatExcelCsvCell (col, rawValue, displayValue) {
+  if (isNumericColumn(col?.name)) {
+    const numericValue = Number(rawValue)
+    if (Number.isFinite(numericValue)) return String(numericValue).replace('.', ',')
+  }
+  return escapeExcelCsvCell(displayValue)
+}
+
+function exportVisibleRows () {
+  const visibleRows = Array.isArray(rows.value) ? rows.value : []
+  if (visibleRows.length === 0) {
+    $q.notify({ type: 'warning', message: 'Excel aktarimi icin ekranda satir bulunamadi.', position: 'top-right' })
+    return
+  }
+
+  const exportColumns = columns.filter(col => col.name !== 'open')
+  const csvLines = [
+    exportColumns.map(col => escapeExcelCsvCell(col.label)).join(';'),
+    ...visibleRows.map(row => exportColumns.map(col => {
+      const rawValue = typeof col.field === 'function' ? col.field(row) : row?.[col.field]
+      const displayValue = typeof col.format === 'function' ? col.format(rawValue, row) : rawValue
+      return formatExcelCsvCell(col, rawValue, displayValue)
+    }).join(';'))
+  ]
+
+  const blob = new Blob([`\uFEFF${csvLines.join('\r\n')}`], { type: 'text/csv;charset=utf-8;' })
+  const url = URL.createObjectURL(blob)
+  const link = document.createElement('a')
+  link.href = url
+  link.download = `maliyeti_olmayan_urunler_${new Date().toISOString().slice(0, 10)}.csv`
+  document.body.appendChild(link)
+  link.click()
+  link.remove()
+  URL.revokeObjectURL(url)
+}
+
 function openRow (row) {
   const productCode = String(row?.sMModelKodu || '').trim()
   const recipeCode = String(row?.sKodu || '').trim()
@@ -449,6 +538,8 @@ function openRow (row) {
     recipe_code: recipeCode
   })
 
+  persistListState()
+
   router.push({
     name: 'production-product-costing-has-cost-detail',
     query: {
@@ -460,9 +551,16 @@ function openRow (row) {
   })
 }
 
-onMounted(() => {
+onMounted(async () => {
   if (!canReadOrder.value) return
-  fetchRows()
+  const savedScrollY = restoreListState()
+  await nextTick()
+  filterWatchEnabled = true
+  await fetchRows()
+  if (savedScrollY > 0) {
+    await nextTick()
+    window.scrollTo({ top: savedScrollY, behavior: 'auto' })
+  }
 })
 </script>
 

ui/src/stores/productPerformanceStore.js

@@ -4,16 +4,6 @@ import api from 'src/services/api'
 const GROUPED_TTL_MS = 2 * 60 * 1000
 const IMAGE_TTL_MS = 15 * 60 * 1000
 
-function normalizeUploadsPath (storagePath) {
-  const raw = String(storagePath || '').trim()
-  if (!raw) return ''
-  const normalized = raw.replace(/\\/g, '/')
-  const idx = normalized.toLowerCase().indexOf('/uploads/')
-  if (idx >= 0) return normalized.slice(idx)
-  if (normalized.toLowerCase().startsWith('uploads/')) return `/${normalized}`
-  return ''
-}
-
 function resolveProductImageUrl (item) {
   return resolveProductImageUrls(item)[0] || ''
 }
@@ -26,24 +16,15 @@ function resolveProductImageUrls (item) {
     if (url && !urls.includes(url)) urls.push(url)
   }
 
-  const contentURL = String(item.content_url || item.ContentURL || '').trim()
-  if (contentURL.startsWith('/api/')) addURL(contentURL)
-  else if (contentURL.startsWith('/')) addURL(`/api${contentURL}`)
-
-  const imageId = Number(item.id || item.ID || 0)
-  if (Number.isFinite(imageId) && imageId > 0) addURL(`/api/product-images/${imageId}/content`)
-
   const thumbURL = String(item.thumb_url || item.thumbUrl || '').trim()
   addURL(thumbURL)
 
   const fullURL = String(item.full_url || item.fullUrl || '').trim()
   addURL(fullURL)
 
-  const uploadsPath = normalizeUploadsPath(item.storage_path || item.storage || '')
-  addURL(uploadsPath)
-
-  const fileName = String(item.file_name || item.FileName || '').trim()
-  if (fileName) addURL(`/uploads/image/${fileName}`)
+  const contentURL = String(item.content_url || item.ContentURL || '').trim()
+  if (contentURL.startsWith('/api/')) addURL(contentURL)
+  else if (contentURL.startsWith('/')) addURL(`/api${contentURL}`)
   return urls
 }
 
@@ -69,6 +50,9 @@ export const useProductPerformanceStore = defineStore('product-performance-store
     groupedLoadedAtByKey: {},
     groupedLoadingByKey: {},
     groupedInFlightByKey: {},
+    groupedFilterOptionsByKey: {},
+    groupedFilterOptionsLoadedAtByKey: {},
+    groupedFilterOptionsInFlightByKey: {},
     imageUrlByKey: {},
     imageListByKey: {},
     imageLoadedAtByKey: {}
@@ -96,6 +80,16 @@ export const useProductPerformanceStore = defineStore('product-performance-store
       })
     },
 
+    groupedFilterOptionsCacheKey (params = {}) {
+      return JSON.stringify({
+        mode: String(params.mode || ''),
+        mainGroup: String(params.urunAnaGrubu || params.urun_ana_grubu || ''),
+        groupLevels: normalizedList(params.groupLevels),
+        fields: normalizedList(params.fields, true),
+        limit: Number(params.limit || 0)
+      })
+    },
+
     async fetchGroupedRows (params = {}, options = {}) {
       const key = this.groupedCacheKey(params)
       const now = Date.now()
@@ -180,6 +174,35 @@ export const useProductPerformanceStore = defineStore('product-performance-store
       return request
     },
 
+    async fetchGroupedFilterOptions (params = {}, options = {}) {
+      const key = this.groupedFilterOptionsCacheKey(params)
+      const now = Date.now()
+      const loadedAt = Number(this.groupedFilterOptionsLoadedAtByKey[key] || 0)
+      const cached = this.groupedFilterOptionsByKey[key]
+      if (!options.force && cached && now - loadedAt < GROUPED_TTL_MS) return cached
+      if (this.groupedFilterOptionsInFlightByKey[key]) return this.groupedFilterOptionsInFlightByKey[key]
+
+      const request = api.post('/pricing/product-performance/grouped/filter-options', {
+        mode: params.mode,
+        urun_ana_grubu: params.urunAnaGrubu || params.urun_ana_grubu || '',
+        group_levels: Array.isArray(params.groupLevels) ? params.groupLevels : String(params.groupLevels || '').split(',').filter(Boolean),
+        fields: Array.isArray(params.fields) ? params.fields : String(params.fields || '').split(',').filter(Boolean),
+        limit: params.limit || 50000
+      }, { timeout: 60000 }).then(resp => {
+        const data = resp?.data && typeof resp.data === 'object' ? resp.data : {}
+        this.groupedFilterOptionsByKey = { ...this.groupedFilterOptionsByKey, [key]: data }
+        this.groupedFilterOptionsLoadedAtByKey = { ...this.groupedFilterOptionsLoadedAtByKey, [key]: Date.now() }
+        return data
+      }).finally(() => {
+        const nextInFlight = { ...this.groupedFilterOptionsInFlightByKey }
+        delete nextInFlight[key]
+        this.groupedFilterOptionsInFlightByKey = nextInFlight
+      })
+
+      this.groupedFilterOptionsInFlightByKey = { ...this.groupedFilterOptionsInFlightByKey, [key]: request }
+      return request
+    },
+
     setImageCache (key, urls = []) {
       const normalizedKey = String(key || '').trim()
       if (!normalizedKey) return