E-Commerce-Logistics Inventory Integration

This dataset integrates e-commerce product demand with logistics fulfillment and shipping timelines, providing a unified view of inventory levels, order status, and shipment tracking across warehouses and suppliers. It enables detailed supply chain analysis, demand forecasting, and operational optimization for e-commerce logistics teams. The flat structure supports easy integration with analytics tools and supply chain management systems.

  • last updated 29 Jul 2025
  • by GoMask
The brief that made it

Real-time inventory tracking and stockout prevention

Sample rows

preview · 8 of 200 rows · all 29 columns
inventory_record_idstringshipment_statusstringaverage_daily_demandfloatwarehouse_idstringproduct_idstringproduct_namestringskustringwarehouse_namestringwarehouse_citystringwarehouse_statestringwarehouse_countrystringinventory_quantityintegerinventory_last_updateddatetimepending_ordersintegerfulfilled_ordersintegerreorder_pointintegersupplier_idstringsupplier_namestringshipment_idstringshipment_expected_departuredatetimeshipment_actual_departuredatetimeshipment_expected_arrivaldatetimeshipment_actual_arrivaldatetimeshipping_carrierstringshipping_methodstringshipping_tracking_numberstringdestination_citystringdestination_statestringdestination_countrystring
INV-00001blank42.5WH-01PRD-001Digital Gift Card $25GC-25-0001Cloud Distribution HubVirtualblankCloud5000002024-05-11T10:15:00Z0205000SUP-0001Self-Generatedblankblankblankblankblankblankblankblankblankblankblank
INV-00002in_transit7.2WH-02PRD-002Reusable Stainless Water Bottle 750mlWTR-BTL-7502Ohio Fulfillment CenterColumbusOHUSA3122024-06-14T15:22:00Z9248048SUP-0202HydroFlow ImportsSHP-00012024-06-12T13:00:00Z2024-06-12T14:15:00Z2024-06-16T19:00:00ZblankFedExgroundFX1234567890ChicagoILUSA
INV-00003delivered1.2WH-03PRD-003Wireless Bluetooth Earbuds XE200EB-XE200-BLKLondon Central StorageLondonblankUK42024-06-13T11:03:00Z11122SUP-0034AudioNext EuropeSHP-00022024-06-10T08:00:00Z2024-06-10T08:12:00Z2024-06-13T09:00:00Z2024-06-13T09:18:00ZRoyal MailexpressRMX23456712ManchesterblankUK
INV-00004pending4.3WH-04PRD-004Classic Mug 400mlMUG-400CL-04Toronto DistributionTorontoONCanada1282024-06-11T17:41:00Z7120020SUP-0110Maple Ceramics Ltd.SHP-00032024-06-16T10:30:00Zblank2024-06-19T14:45:00ZblankPurolatorgroundblankCalgaryABCanada
INV-00005blank24.7WH-05PRD-005eBook: Business Strategy 2024EBK-BS-2024Virtual Book HubVirtualblankCloud9999992024-06-01T09:00:00Z0423500SUP-0001Self-Generatedblankblankblankblankblankblankblankblankblankblankblank
INV-00006in_transit110.7WH-06PRD-006A4 Printer Paper 5,000 SheetsPPR-A4-5000Berlin Paper StorageBerlinBEGermany246002024-06-14T08:11:00Z112286003000SUP-0231Papierhaus GmbHSHP-00042024-06-12T07:00:00Z2024-06-12T07:45:00Z2024-06-15T16:00:00ZblankDHLgroundDHL89321345MunichBYGermany
INV-00007delivered3.7WH-07PRD-007Cotton T-Shirt Unisex XLTS-UNXL-COT07Sydney Apparel CenterSydneyNSWAustralia792024-05-27T13:38:00Z11135018SUP-0901WestWear ImportsSHP-00052024-05-23T06:00:00Z2024-05-23T06:22:00Z2024-05-26T17:00:00Z2024-05-26T17:33:00ZAustralia PostgroundAUPST984623MelbourneVICAustralia
INV-00008pending8.1WH-08PRD-002Reusable Stainless Water Bottle 750mlWTR-BTL-7502Los Angeles HubLos AngelesCAUSA02024-06-14T09:17:00Z16265056SUP-0202HydroFlow ImportsSHP-00062024-06-16T17:00:00Zblank2024-06-18T18:00:00ZblankFedExgroundblankSan DiegoCAUSA

What the 200 rows show

from the 200-row sample
  • 3.2median average_daily_demand
  • 4shipping methods
  • 10destination countries
  • 11shipping carriers
  • 12warehouse countries
  • 27warehouse states
shipment_status173 rows by value
0357035pending18%68in_trans…34%66delivered33%4delayed2%
average_daily_demand199 rows, in bands of 50
0851701692232120150300average_daily_demand →

Median 3.2, from 0.04 to 260.3.

warehouse_id199 rows with a value · 1 left blank
  1. WH-1314
  2. WH-1211
  3. WH-1511
  4. WH-0510
  5. WH-049
  6. WH-099
  7. WH-119
  8. WH-078
  9. WH-088
  10. WH-228
29 columns by typefrom the column list below
  • string 19
  • integer 4
  • float 1
  • datetime 5

Columns

29 columns in three groups
blueprint · 29 columns
columntypedescriptionexample
Text 19 columns
inventory_record_idstringUnique identifier for each inventory integration recorduniqueINV-00001
product_idstringUnique identifier for the productPRD-001
product_namestringName of the productDigital Gift Card $25
skustringStock Keeping Unit identifier for the productGC-25-0001
warehouse_idstringUnique identifier for the warehouse storing the inventoryWH-01
warehouse_namestringName of the warehouseoptionalCloud Distribution Hub
warehouse_citystringCity where the warehouse is locatedoptionalVirtual
warehouse_statestringState or province where the warehouse is locatedoptionalOH
warehouse_countrystringCountry where the warehouse is located12 countries · optionalCloud
supplier_idstringUnique identifier for the supplier of the productoptionalSUP-0001
supplier_namestringName of the supplieroptionalSelf-Generated
shipment_idstringUnique identifier for the shipment related to this inventory recordoptionalSHP-0001
shipment_statusstringCurrent status of the shipment (e.g., pending, in_transit, delivered, delayed, cancelled)pending · in_transit · delivered · delayed · cancelled · optionalin_transit
shipping_carrierstringName of the shipping carrier handling the shipment11 carriers · optionalFedEx
shipping_methodstringType of shipping method used (e.g., ground, air, sea, express)ground · air · sea · express · optionalground
shipping_tracking_numberstringTracking number for the shipmentoptionalFX1234567890
destination_citystringDestination city for the shipmentoptionalChicago
destination_statestringDestination state or province for the shipmentoptionalIL
destination_countrystringDestination country for the shipment10 countries · optionalUSA
Numbers 5 columns
inventory_quantityintegerCurrent quantity of the product in the warehouse0 or more500000
pending_ordersintegerNumber of outstanding orders for this product at this warehouse0 or more · optional0
fulfilled_ordersintegerNumber of orders fulfilled from this warehouse for this product0 or more · optional20500
average_daily_demandfloatAverage daily demand for this product (units per day)0 or more · optional42.5
reorder_pointintegerInventory level at which a reorder should be triggered0 or more · optional0
Dates and times 5 columns
inventory_last_updateddatetimeTimestamp of the last inventory update2024-05-11T10:15:00Z
shipment_expected_departuredatetimeExpected departure date and time for the shipmentoptional2024-06-12T13:00:00Z
shipment_actual_departuredatetimeActual departure date and time for the shipmentoptional2024-06-12T14:15:00Z
shipment_expected_arrivaldatetimeExpected arrival date and time for the shipmentoptional2024-06-16T19:00:00Z
shipment_actual_arrivaldatetimeActual arrival date and time for the shipmentoptional2024-06-13T09:18:00Z

Use it for

  • median average…3.2199 rowsmean average daily de…3.3pend…18.1in_t…27.2deli…1.1dela…

    A logistics dashboard

    Average_daily_demand by shipment_status and a breakdown of warehouse_id. Excel, Power BI or Tableau.

  • What pattern can you find in 200 rows?

    A class exercise

    Hand out the rows and one question. Everyone works from the same 200 rows.

  • A software demo

    Believable inventory records with product_id, product_name and sku to fill a screen in front of a buyer.

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This dataset200 rows29 columns
Yours1,000 rows29 columnswarehouse_city: UK only

blueprint · e-commerce-logistics-inventory-integration

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 29 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Each record links order to shipment
  • Stock availability affects fulfillment time
  • Shipping delays linked to carrier events
  • Returns and refunds tracked
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
e-commerce-logistics-inventory-integration

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