diff --git a/backend/src/config/pickingBinSalesAnalysis.js b/backend/src/config/pickingBinSalesAnalysis.js
index 5097f69..550652d 100644
--- a/backend/src/config/pickingBinSalesAnalysis.js
+++ b/backend/src/config/pickingBinSalesAnalysis.js
@@ -13,7 +13,10 @@
  *   库存数量：rpt.jst_packInventoryInfo 按 wms_co_id + 仓位 + sku_id 汇总 qty
  *   统计范围：只统计真实拣选仓位（pack_type=Bin 且 bin_group 为空）；
  *             箱记录（pack_type=Pack）与存货位（bin_group=存货）不纳入
- *   销量：    rpt.jst_Orders × rpt.jst_OrderItem，按 send_date，排除 Delete/Cancelled
+ *   销量：    4 个来源分支，均按 send_date 窗口（详见 services/pickingBinSalesAnalysis.js）：
+ *             ① jst_Orders 普通行；② jst_Orders 组合装行 → jst_comboProductItem 展开为子件；
+ *             ③ jst_qmcust_orderlist（全民客户 B2B 分销）普通行（排除拆单父单 Split）；
+ *             ④ qmcust 组合装行 → 同样展开。
  *   日销：    商品窗口销量 / 窗口天数（整档，不按仓位分摊）
  *   等级：    严格按商品日销判定，同一商品占多少个仓位都是同一等级
  *
diff --git a/backend/src/services/pickingBinSalesAnalysis.js b/backend/src/services/pickingBinSalesAnalysis.js
index 9eaec7e..013cb8d 100644
--- a/backend/src/services/pickingBinSalesAnalysis.js
+++ b/backend/src/services/pickingBinSalesAnalysis.js
@@ -6,7 +6,12 @@
  *   库存：rpt.jst_packInventoryInfo 按 wms_co_id + 仓位 + sku_id 汇总 qty（仓位为空的行不参与）
  *   范围：只统计真实拣选仓位（pack_type=Bin 且 bin_group 为空）；
  *         箱记录（pack_type=Pack）与存货位（bin_group=存货）不纳入
- *   销量：rpt.jst_Orders × rpt.jst_OrderItem，按 send_date，排除 Delete/Cancelled
+ *   销量（4 个来源分支，均按 send_date 窗口）：
+ *     1) rpt.jst_Orders × jst_OrderItem 普通行（sku_type<>combine），排除 Delete/Cancelled
+ *     2) rpt.jst_Orders 组合装行（sku_id 为 ZH-... 拼接串）→ JOIN jst_comboProductItem 展开为子件×数量
+ *     3) rpt.jst_qmcust_orderlist（全民客户 B2B 分销）普通行，排除 Delete/Cancelled/Split/Question
+ *        （Split 是拆单父单，与拆出的子单重复，必须排除）
+ *     4) rpt.jst_qmcust_orderlist 组合装行 → 同样按映射表展开
  *   粒度：仓位 × 商品编码（一个仓位有 N 个商品就输出 N 行），列表与导出共用
  *
  *   【日销与动销等级口径】按「商品日销」判定，不做仓位分摊：
@@ -110,6 +115,7 @@ async function fetchPickingBinSkuRows(cloudDb, wmsCoIds, options = {}) {
        GROUP BY wmsCoId, skuId, binType
     ),
     ship AS (
+      -- 1) 线上店铺订单：普通商品行（sku_type<>combine，组合装行在下一分支展开）
       SELECT o.wms_co_id AS wmsCoId,
              oi.sku_id   AS skuId,
              SUM(CAST(ISNULL(oi.qty, 0) AS DECIMAL(18, 2))) AS salesQty
@@ -119,7 +125,49 @@ async function fetchPickingBinSkuRows(cloudDb, wmsCoIds, options = {}) {
          AND o.send_date >= @shipFrom
          AND o.send_date < @shipTo
          AND ISNULL(o.status, '') NOT IN ('Delete', 'Cancelled')
+         AND ISNULL(oi.sku_type, 'normal') <> 'combine'
        GROUP BY o.wms_co_id, oi.sku_id
+      UNION ALL
+      -- 2) 线上店铺订单：组合装行（sku_id 为 ZH-子件A-N-子件B-M 拼接串）→ 按映射表展开为子件
+      SELECT o.wms_co_id AS wmsCoId,
+             ci.src_sku_id AS skuId,
+             SUM(CAST(ISNULL(oi.qty, 0) * ISNULL(ci.qty, 0) AS DECIMAL(18, 2))) AS salesQty
+        FROM rpt.jst_OrderItem oi
+        JOIN rpt.jst_Orders o ON o.o_id = oi.o_id
+        JOIN rpt.jst_comboProductItem ci ON ci.combine_sku_id = oi.sku_id
+       WHERE o.wms_co_id IN (${shipIn.clause})
+         AND o.send_date >= @shipFrom
+         AND o.send_date < @shipTo
+         AND ISNULL(o.status, '') NOT IN ('Delete', 'Cancelled')
+         AND oi.sku_type = 'combine'
+       GROUP BY o.wms_co_id, ci.src_sku_id
+      UNION ALL
+      -- 3) 全民客户（B2B 分销）订单：普通商品行（拆单父单 Split 与子单重复，需排除）
+      SELECT o.wms_co_id AS wmsCoId,
+             oi.sku_id   AS skuId,
+             SUM(CAST(ISNULL(oi.qty, 0) AS DECIMAL(18, 2))) AS salesQty
+        FROM rpt.jst_qmcust_orderlist_item oi
+        JOIN rpt.jst_qmcust_orderlist o ON o.o_id = oi.o_id
+       WHERE o.wms_co_id IN (${shipIn.clause})
+         AND o.send_date >= @shipFrom
+         AND o.send_date < @shipTo
+         AND ISNULL(o.status, '') NOT IN ('Delete', 'Cancelled', 'Split', 'Question')
+         AND ISNULL(oi.sku_type, 'normal') <> 'combine'
+       GROUP BY o.wms_co_id, oi.sku_id
+      UNION ALL
+      -- 4) 全民客户订单：组合装行展开为子件
+      SELECT o.wms_co_id AS wmsCoId,
+             ci.src_sku_id AS skuId,
+             SUM(CAST(ISNULL(oi.qty, 0) * ISNULL(ci.qty, 0) AS DECIMAL(18, 2))) AS salesQty
+        FROM rpt.jst_qmcust_orderlist_item oi
+        JOIN rpt.jst_qmcust_orderlist o ON o.o_id = oi.o_id
+        JOIN rpt.jst_comboProductItem ci ON ci.combine_sku_id = oi.sku_id
+       WHERE o.wms_co_id IN (${shipIn.clause})
+         AND o.send_date >= @shipFrom
+         AND o.send_date < @shipTo
+         AND ISNULL(o.status, '') NOT IN ('Delete', 'Cancelled', 'Split', 'Question')
+         AND oi.sku_type = 'combine'
+       GROUP BY o.wms_co_id, ci.src_sku_id
     ),
     binAgg AS (
       SELECT wmsCoId,
diff --git a/backend/test/pickingBinSalesAnalysis.test.js b/backend/test/pickingBinSalesAnalysis.test.js
index 3e923e5..b6e5fa5 100644
--- a/backend/test/pickingBinSalesAnalysis.test.js
+++ b/backend/test/pickingBinSalesAnalysis.test.js
@@ -137,6 +137,25 @@ test('fetchPickingBinSkuRows 只统计真实拣选仓位，排除 Pack 箱记录
   assert.equal(captured.params.binTypes, undefined);
 });
 
+test('销量覆盖 4 个来源：线上普通行 + 组合装展开 + 全民客户普通行 + 全民客户组合装展开', async () => {
+  let captured = null;
+  const db = {
+    query: async (sqlText, params) => { captured = { sqlText, params }; return []; },
+  };
+  await fetchPickingBinSkuRows(db, [101], { shipFrom: 'a', shipTo: 'b', days: 30 });
+
+  // ① 线上店铺订单普通行
+  assert.ok(captured.sqlText.includes('FROM rpt.jst_OrderItem'), '缺少 jst_OrderItem 普通行分支');
+  // ② 线上订单组合装行按映射表展开为子件
+  assert.ok(captured.sqlText.includes('JOIN rpt.jst_comboProductItem'), '缺少组合装展开分支');
+  assert.ok(captured.sqlText.includes("oi.sku_type = 'combine'"), '缺少组合装行识别条件');
+  // ③ 全民客户（B2B 分销）渠道普通行，排除拆单父单 Split 与问题单
+  assert.ok(captured.sqlText.includes('FROM rpt.jst_qmcust_orderlist_item'), '缺少 qmcust 分支');
+  assert.ok(captured.sqlText.includes("'Split', 'Question'"), 'qmcust 未排除拆单父单/问题单');
+  // 四个分支共用同一发货窗口
+  assert.equal(captured.sqlText.split('o.send_date >= @shipFrom').length, 5);
+});
+
 test('gradeKey 缺失时兜底为 zero', async () => {
   const db = { query: async () => [{ wmsCoId: 101, binName: 'X', binType: '拣选', skuId: 'S1', stockQty: 5 }] };
   const rows = await fetchPickingBinSkuRows(db, [101], { shipFrom: 'a', shipTo: 'b', days: 15 });
diff --git a/frontend/src/constants/pickingBinSalesAnalysis.js b/frontend/src/constants/pickingBinSalesAnalysis.js
index 10e40ae..26c75f9 100644
--- a/frontend/src/constants/pickingBinSalesAnalysis.js
+++ b/frontend/src/constants/pickingBinSalesAnalysis.js
@@ -29,7 +29,7 @@ export const PICKING_BIN_COLUMNS = [
   {
     key: 'salesQty',
     label: '商品销量',
-    tip: '近 N 天该商品的销量（整档，不按仓位分摊）：同一商品占几个仓位，这几行显示的销量都一样，所以这一列不能直接按行求和',
+    tip: '近 N 天该商品的销量（整档，不按仓位分摊）：含线上订单、组合装子件拆分、全民客户(B2B分销)渠道；同一商品占几个仓位，这几行显示的销量都一样，所以这一列不能直接按行求和',
   },
   {
     key: 'dailySales',
@@ -85,6 +85,7 @@ export const PICKING_BIN_DESCRIPTION = [
   '  注意它小于全仓销量：jst_packInventoryInfo 只覆盖部分 SKU 的仓位数据，无仓位记录的 SKU 销量不计入任何库位。',
   '',
   '数据来源：库存取 rpt.jst_packInventoryInfo（按仓库 + 仓位 + 商品汇总）；',
-  '销量取 rpt.jst_Orders × rpt.jst_OrderItem（按 send_date，排除 Delete/Cancelled），与「每日进销存」发货口径一致。',
+  '销量按 send_date 窗口统计 4 个来源：① jst_Orders 普通商品行；② jst_Orders 组合装行（ZH-拼接编码）按组合装映射展开为子件；',
+  '③ jst_qmcust_orderlist 全民客户(B2B分销)普通行（排除拆单父单 Split）；④ qmcust 组合装行同样展开。',
   '统计范围：只取 pack_type=Bin 且 bin_group 为空的真实拣选仓位，箱记录（pack_type=Pack）和存货位（bin_group=存货）不参与统计。',
 ];