Score RFV clients without phone

backend/services/analyticsService.js

@@ -7,6 +7,7 @@ const PRODUCT_NAME_SQL = `
         ELSE NULLIF(TRIM(regexp_replace(split_part(COALESCE(produto_descricao, 'Unknown'), ' TAMANHO', 1), '${SIZE_SUFFIX_SQL_PATTERN}', '', 'i')), '')
     END
 `;
+const CUSTOMER_KEY_SQL = "COALESCE(NULLIF(cliente_fone, ''), 'name:' || COALESCE(NULLIF(cliente_nome, ''), 'Cliente Desconhecido'))";
 
 const normalizeDateParam = (value) => {
     if (!value) return null;
@@ -235,7 +236,8 @@ const getClientAnalytics = async (range = {}) => {
     const { params, whereClause } = buildDateFilter(range);
     const result = await pool.query(`
         SELECT
-            COALESCE(NULLIF(cliente_nome, ''), 'Cliente Desconhecido') as name,
+            ${CUSTOMER_KEY_SQL} as customer_key,
+            MAX(COALESCE(NULLIF(cliente_nome, ''), 'Cliente Desconhecido')) as name,
             MAX(NULLIF(cliente_fone, '')) as phone,
             COALESCE(SUM(quantidade), 0) as quantity_purchased,
             COALESCE(SUM(quantidade * valor_unitario), 0) as total_spent,
@@ -243,11 +245,12 @@ const getClientAnalytics = async (range = {}) => {
             MAX(data_pedido_date) as last_purchase_date
         FROM orders
         ${whereClause}
-        GROUP BY COALESCE(NULLIF(cliente_nome, ''), 'Cliente Desconhecido')
+        GROUP BY customer_key
         ORDER BY total_spent DESC;
     `, params);
 
     return result.rows.map(row => ({
+        customerKey: row.customer_key,
         name: row.name,
         phone: row.phone || '',
         quantityPurchased: toNumber(row.quantity_purchased),
@@ -268,23 +271,23 @@ const getRfmAnalytics = async (range = {}) => {
     const [periodResult, historyResult] = await Promise.all([
         pool.query(`
             SELECT
+                ${CUSTOMER_KEY_SQL} as customer_key,
                 MAX(cliente_nome) as name,
-                cliente_fone as phone,
+                MAX(NULLIF(cliente_fone, '')) as phone,
                 COALESCE(SUM(quantidade * valor_unitario), 0) as monetary,
                 COUNT(DISTINCT COALESCE(NULLIF(pedido_id, ''), data_pedido || '_' || valor_pedido::text))::int as frequency,
                 COALESCE(SUM(quantidade), 0) as quantity_purchased,
                 MAX(data_pedido_date) as last_purchase_date
             FROM orders
             ${whereClause}
-              AND cliente_fone IS NOT NULL
-              AND cliente_fone != ''
-            GROUP BY cliente_fone
+            GROUP BY customer_key
             ORDER BY monetary DESC;
         `, params),
         pool.query(`
             SELECT
+                ${CUSTOMER_KEY_SQL} as customer_key,
                 MAX(cliente_nome) as name,
-                cliente_fone as phone,
+                MAX(NULLIF(cliente_fone, '')) as phone,
                 COALESCE(SUM(quantidade * valor_unitario), 0) as monetary,
                 COUNT(DISTINCT COALESCE(NULLIF(pedido_id, ''), data_pedido || '_' || valor_pedido::text))::int as frequency,
                 COALESCE(SUM(quantidade), 0) as quantity_purchased,
@@ -293,30 +296,30 @@ const getRfmAnalytics = async (range = {}) => {
             FROM orders
             WHERE data_pedido_date IS NOT NULL
               AND data_pedido_date <= ${recencyReferenceDate}
-              AND cliente_fone IS NOT NULL
-              AND cliente_fone != ''
-            GROUP BY cliente_fone;
+            GROUP BY customer_key;
         `, historyParams)
     ]);
 
     const historyClients = buildRfmClients(historyResult.rows.map(row => ({
+        customerKey: row.customer_key,
         name: row.name,
-        phone: row.phone,
+        phone: row.phone || '',
         monetary: toNumber(row.monetary),
         frequency: toNumber(row.frequency),
         quantityPurchased: toNumber(row.quantity_purchased),
         lastPurchaseDate: row.last_purchase_date,
         recencyDays: toNumber(row.recency_days)
     })));
-    const tagsByPhone = new Map(historyClients.map(client => [client.phone, client]));
+    const tagsByCustomerKey = new Map(historyClients.map(client => [client.customerKey, client]));
 
     const clients = periodResult.rows.map(row => {
-        const taggedClient = tagsByPhone.get(row.phone);
+        const taggedClient = tagsByCustomerKey.get(row.customer_key);
         if (!taggedClient) {
             const newCustomerSegment = getRfmSegment(3, 1);
             return {
+                customerKey: row.customer_key,
                 name: row.name,
-                phone: row.phone,
+                phone: row.phone || '',
                 monetary: toNumber(row.monetary),
                 frequency: toNumber(row.frequency),
                 quantityPurchased: toNumber(row.quantity_purchased),
@@ -334,8 +337,9 @@ const getRfmAnalytics = async (range = {}) => {
 
         return {
             ...taggedClient,
+            customerKey: row.customer_key,
             name: row.name,
-            phone: row.phone,
+            phone: row.phone || '',
             monetary: toNumber(row.monetary),
             frequency: toNumber(row.frequency),
             quantityPurchased: toNumber(row.quantity_purchased),

backend/test/analyticsService.test.js

@@ -204,6 +204,7 @@ test('getRfmAnalytics groups period buyers by their RFM tag before the selected
             return {
                 rows: [
                     {
+                        customer_key: '1',
                         name: 'Cliente Ontem',
                         phone: '1',
                         monetary: 5000,
@@ -213,6 +214,7 @@ test('getRfmAnalytics groups period buyers by their RFM tag before the selected
                         recency_days: endDate === '2026-06-13' ? 0 : 1
                     },
                     {
+                        customer_key: '2',
                         name: 'Cliente Antigo',
                         phone: '2',
                         monetary: 50,
@@ -222,6 +224,7 @@ test('getRfmAnalytics groups period buyers by their RFM tag before the selected
                         recency_days: 164
                     },
                     {
+                        customer_key: '3',
                         name: 'Cliente Medio',
                         phone: '3',
                         monetary: 100,
@@ -237,6 +240,7 @@ test('getRfmAnalytics groups period buyers by their RFM tag before the selected
         return {
             rows: [
                 {
+                    customer_key: '1',
                     name: 'Cliente Ontem',
                     phone: '1',
                     monetary: 100,
@@ -245,6 +249,7 @@ test('getRfmAnalytics groups period buyers by their RFM tag before the selected
                     last_purchase_date: '2026-06-14'
                 },
                 {
+                    customer_key: '4',
                     name: 'Cliente Novo no Periodo',
                     phone: '4',
                     monetary: 25,

src/pages/Clients.tsx

@@ -7,7 +7,6 @@ import DateRangePicker from '../components/DateRangePicker';
 import type { ClientSortOption, ClientSummary } from '../analytics/clients';
 
 const clientTypeStyles: Record<string, string> = {
-  'Sem análise': 'border-zinc-600/30 bg-zinc-600/15 text-zinc-300',
   'Campeão': 'border-emerald-500/30 bg-emerald-500/15 text-emerald-300',
   'Potencial Leal': 'border-sky-500/30 bg-sky-500/15 text-sky-300',
   'Novo Cliente': 'border-cyan-500/30 bg-cyan-500/15 text-cyan-300',
@@ -20,7 +19,6 @@ const clientTypeStyles: Record<string, string> = {
 };
 
 const clientTypes = [
-  'Sem análise',
   'Campeão',
   'Potencial Leal',
   'Novo Cliente',
@@ -102,9 +100,9 @@ const Clients = () => {
 
   const allClientsData = useMemo(() => {
     const normalizedSearch = searchTerm.trim().toLowerCase();
-    const rfmByPhone = new Map((rfmAnalytics?.clients || []).map(client => [client.phone, client]));
+    const rfmByCustomerKey = new Map((rfmAnalytics?.clients || []).map(client => [client.customerKey, client]));
     const clients = clientAnalytics.map((client): ClientSummary => {
-      const rfmClient = client.phone ? rfmByPhone.get(client.phone) : undefined;
+      const rfmClient = rfmByCustomerKey.get(client.customerKey);
       return {
         name: client.name,
         phone: client.phone,
@@ -113,7 +111,7 @@ const Clients = () => {
         totalItems: client.quantityPurchased,
         orderCount: client.orderCount,
         lastPurchase: client.lastPurchaseDate ? new Date(client.lastPurchaseDate).getTime() : 0,
-        clientType: rfmClient ? (backendSegmentToClientType[rfmClient.segmentKey] || rfmClient.segmentLabel) : 'Sem análise',
+        clientType: rfmClient ? (backendSegmentToClientType[rfmClient.segmentKey] || rfmClient.segmentLabel) : 'Perdido',
         rfmScore: rfmClient?.rfmScore || '000',
         rfmPriority: rfmClient ? getRfmPriority(rfmClient) : 0
       };

src/types.ts

@@ -64,6 +64,7 @@ export interface DashboardAnalytics {
 }
 
 export interface ClientAnalyticsItem {
+  customerKey: string;
   name: string;
   phone: string;
   quantityPurchased: number;
@@ -73,6 +74,7 @@ export interface ClientAnalyticsItem {
 }
 
 export interface RfmClient {
+  customerKey: string;
   name: string;
   phone: string;
   monetary: number;