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分析存貨層次

此主題示範如何設定儀表板,其中提供您目前詳細目錄的分析,並包含舊版架構或新架構的客戶說明。 如果您在​ Data Warehouse Views ​功能表下沒有​ Manage Data ​選項,表示您使用的是舊版架構。 如果您使用舊版架構,請在到達以下計算欄指示中的指定區段後,提交主旨為​ INVENTORY ANALYSIS ​的​ 新支援要求

要追蹤的欄:

要追蹤指示的欄

  • cataloginventory_stock_item ​資料表:

    • item_id
    • product_id
    • qty
  • catalog_product_entity ​資料表:

    • entity_id
    • sku
    • created_at

計算的欄:

新架構
  • catalog_product_entity ​資料表:

    • Product's most recent order date

      • Column type: Many to One

      • Column equation: MAX
      • Path: sales_order_item.product_id => catalog_product_entity.entity_id
      • 選取column: created_at
      • Filters:
        • [A] Ordered products we count
    • Product's first order date

      • Column type: Many to One

      • Column equation: MIN
      • Path: sales_order_item.product_id => catalog_product_entity.entity_id
      • 選取column: created_at
      • Filters:
        • [A] Ordered products we count
    • Seconds since product's most recent order date

      • Column type: Same Table

      • Column equation: AGE
      • 選取DATETIME column: Product's most recent order date
    • Product's lifetime number of items sold

      • Column type: Many to One

      • Column equation: SUM
      • Path: sales_order_item.product_id => catalog_product_entity.entity_id
      • 選取column: qty_ordered
      • Filters:
        • [A] Ordered products we count
    • Avg products sold per week (all time)

      • Column type: Same Table


      • Column equation: CALCULATION

      • Column個輸入:

        • A: Product's lifetime number of items sold
        • B: Product's first order date

      • Datatype: Decimal

      • 定義:

        • 當A為null或B為null時則為空值,否則四捨五入(A::decimal/(extract(epoch from (current_timestamp - B))::decimal/604800.0),2)結束
  • cataloginventory_stock_item ​資料表:

    • Sku

      • Column type: One to Many

      • Column equation: JOINED_COLUMN
      • Path: cataloginventory_stock_item.product_id => catalog_product_entity.entity_id
      • 選取column: sku
    • Product's lifetime number of items sold

      • Column type: One to Many

      • Column equation: JOINED_COLUMN
      • Path: cataloginventory_stock_item.product_id => catalog_product_entity.entity_id
      • 選取column: Product's lifetime number of items sold
    • Seconds since product's most recent order date

      • Column type: One to Many

      • Column equation: JOINED_COLUMN
      • Path: cataloginventory_stock_item.product_id => catalog_product_entity.entity_id
      • 選取column: Seconds since product's most recent order date
    • Avg products sold per week (all time)

      • Column type: One to Many

      • Column equation: JOINED_COLUMN
      • Path: cataloginventory_stock_item.product_id => catalog_product_entity.entity_id
      • 選取column: Avg products sold per week (all time)
    • Weeks on hand

      • Column type: Same Table


      • Column equation: CALCULATION

      • Column個輸入:

        • A: qty
        • B: Avg products sold per week (all time)

      • Datatype: Decimal

      • 定義:

        • 當A為null或B為null或B = 0.0則為null,否則四捨五入(A::decimal/B,2)結束
舊版架構
  • catalog_product_entity ​資料表:

    • Product's most recent order date

      • Column type: Many to One

      • Column equation: MAX
      • Path: sales_order_item.product_id => catalog_product_entity.entity_id
      • 選取column: created_at
      • Filters:
        • [A] Ordered products we count
    • Product's first order date

      • Column type: Many to One

      • Column equation: MIN
      • Path: sales_order_item.product_id => catalog_product_entity.entity_id
      • 選取column: created_at
      • Filters:
        • [A] Ordered products we count
    • Seconds since product's most recent order date

      • Column type: Same Table

      • Column equation: AGE
      • 選取DATETIME資料行: Product's most recent order date
    • Product's lifetime number of items sold

      • Column type: Many to One

      • Column equation: SUM
      • Path: sales_order_item.product_id => catalog_product_entity.entity_id
      • 選取column: qty_ordered
      • Filters:
        • [A] Ordered products we count
    • Avg products sold per week (all time)

      • 由分析人員建立,當您提交您的​ [詳細目錄分析] ​支援要求時
  • cataloginventory_stock_item ​資料表:

    • Sku

      • Column type: One to Many

      • Column equation: JOINED_COLUMN
      • Path: cataloginventory_stock_item.product_id => catalog_product_entity.entity_id
      • 選取column: sku
    • Product's lifetime number of items sold

      • Column type: One to Many

      • Column equation: JOINED_COLUMN
      • Path: cataloginventory_stock_item.product_id => catalog_product_entity.entity_id
      • 選取column: Product's lifetime number of items sold
    • Seconds since product's most recent order date

      • Column type: One to Many

      • Column equation: JOINED_COLUMN
      • Path: cataloginventory_stock_item.product_id => catalog_product_entity.entity_id
      • 選取column: Seconds since product's most recent order date
    • Avg products sold per week (all time)

      • Column type: One to Many

      • Column equation: JOINED_COLUMN
      • Path: cataloginventory_stock_item.product_id => catalog_product_entity.entity_id
      • 選取column: Avg products sold per week (all time)
    • Weeks on hand

      • 由分析人員建立,當您提交您的​ INVENTORY ANALYSIS ​支援要求時

量度

量度指示

  • cataloginventory_stock_item ​資料表:

    • Inventory on hand:此量度執行

      • 總和 ​於
      • qty ​欄由
      • [無]欄

報表

報表指示

  • Inventory on hand by sku

    • Metric: Inventory on hand

    • Time period: All time

    • 時間間隔: None

    • Group by:

      • Sku
      • Weeks on hand

    • Chart type: Table

  • Inventory with less than 2 weeks on hand (order now)

    • Metric: Inventory on hand

      • Filters:
        • [A] Weeks on hand < 2
    • Time period: All time

    • 時間間隔: None


    • 群組依據: Sku


    • Chart type: Table

  • Inventory with more than 26 weeks on hand (put on sale)

    • Metric: Inventory on hand

      • Filters:
        • [A] Weeks on hand > 26
    • Time period: All time

    • 時間間隔: None


    • 群組依據: Sku


    • Chart type: Table

如果您在建立此分析時遇到任何問題,或只是想與專業服務團隊互動,請聯絡支援人員

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