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.
Sample rows
preview · 8 of 200 rows · all 29 columns| inventory_record_idstring | shipment_statusstring | average_daily_demandfloat | warehouse_idstring | product_idstring | product_namestring | skustring | warehouse_namestring | warehouse_citystring | warehouse_statestring | warehouse_countrystring | inventory_quantityinteger | inventory_last_updateddatetime | pending_ordersinteger | fulfilled_ordersinteger | reorder_pointinteger | supplier_idstring | supplier_namestring | shipment_idstring | shipment_expected_departuredatetime | shipment_actual_departuredatetime | shipment_expected_arrivaldatetime | shipment_actual_arrivaldatetime | shipping_carrierstring | shipping_methodstring | shipping_tracking_numberstring | destination_citystring | destination_statestring | destination_countrystring |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| INV-00001 | blank | 42.5 | WH-01 | PRD-001 | Digital Gift Card $25 | GC-25-0001 | Cloud Distribution Hub | Virtual | blank | Cloud | 500000 | 2024-05-11T10:15:00Z | 0 | 20500 | 0 | SUP-0001 | Self-Generated | blank | blank | blank | blank | blank | blank | blank | blank | blank | blank | blank |
| INV-00002 | in_transit | 7.2 | WH-02 | PRD-002 | Reusable Stainless Water Bottle 750ml | WTR-BTL-7502 | Ohio Fulfillment Center | Columbus | OH | USA | 312 | 2024-06-14T15:22:00Z | 9 | 2480 | 48 | SUP-0202 | HydroFlow Imports | SHP-0001 | 2024-06-12T13:00:00Z | 2024-06-12T14:15:00Z | 2024-06-16T19:00:00Z | blank | FedEx | ground | FX1234567890 | Chicago | IL | USA |
| INV-00003 | delivered | 1.2 | WH-03 | PRD-003 | Wireless Bluetooth Earbuds XE200 | EB-XE200-BLK | London Central Storage | London | blank | UK | 4 | 2024-06-13T11:03:00Z | 1 | 112 | 2 | SUP-0034 | AudioNext Europe | SHP-0002 | 2024-06-10T08:00:00Z | 2024-06-10T08:12:00Z | 2024-06-13T09:00:00Z | 2024-06-13T09:18:00Z | Royal Mail | express | RMX23456712 | Manchester | blank | UK |
| INV-00004 | pending | 4.3 | WH-04 | PRD-004 | Classic Mug 400ml | MUG-400CL-04 | Toronto Distribution | Toronto | ON | Canada | 128 | 2024-06-11T17:41:00Z | 7 | 1200 | 20 | SUP-0110 | Maple Ceramics Ltd. | SHP-0003 | 2024-06-16T10:30:00Z | blank | 2024-06-19T14:45:00Z | blank | Purolator | ground | blank | Calgary | AB | Canada |
| INV-00005 | blank | 24.7 | WH-05 | PRD-005 | eBook: Business Strategy 2024 | EBK-BS-2024 | Virtual Book Hub | Virtual | blank | Cloud | 999999 | 2024-06-01T09:00:00Z | 0 | 42350 | 0 | SUP-0001 | Self-Generated | blank | blank | blank | blank | blank | blank | blank | blank | blank | blank | blank |
| INV-00006 | in_transit | 110.7 | WH-06 | PRD-006 | A4 Printer Paper 5,000 Sheets | PPR-A4-5000 | Berlin Paper Storage | Berlin | BE | Germany | 24600 | 2024-06-14T08:11:00Z | 112 | 28600 | 3000 | SUP-0231 | Papierhaus GmbH | SHP-0004 | 2024-06-12T07:00:00Z | 2024-06-12T07:45:00Z | 2024-06-15T16:00:00Z | blank | DHL | ground | DHL89321345 | Munich | BY | Germany |
| INV-00007 | delivered | 3.7 | WH-07 | PRD-007 | Cotton T-Shirt Unisex XL | TS-UNXL-COT07 | Sydney Apparel Center | Sydney | NSW | Australia | 79 | 2024-05-27T13:38:00Z | 11 | 1350 | 18 | SUP-0901 | WestWear Imports | SHP-0005 | 2024-05-23T06:00:00Z | 2024-05-23T06:22:00Z | 2024-05-26T17:00:00Z | 2024-05-26T17:33:00Z | Australia Post | ground | AUPST984623 | Melbourne | VIC | Australia |
| INV-00008 | pending | 8.1 | WH-08 | PRD-002 | Reusable Stainless Water Bottle 750ml | WTR-BTL-7502 | Los Angeles Hub | Los Angeles | CA | USA | 0 | 2024-06-14T09:17:00Z | 16 | 2650 | 56 | SUP-0202 | HydroFlow Imports | SHP-0006 | 2024-06-16T17:00:00Z | blank | 2024-06-18T18:00:00Z | blank | FedEx | ground | blank | San Diego | CA | USA |
| INV-00009 | delivered | 5.6 | WH-09 | PRD-008 | Organic Trail Snack Bar - Almond | SNK-ALM-ORG8 | Delhi Food Warehouse | Delhi | DL | India | 244 | 2024-06-13T18:45:00Z | 12 | 3200 | 32 | SUP-0403 | Himalaya Snacks Pvt Ltd | SHP-0007 | 2024-06-09T09:00:00Z | 2024-06-09T09:22:00Z | 2024-06-12T11:30:00Z | 2024-06-12T11:41:00Z | Blue Dart | express | BDRT7834521 | Mumbai | MH | India |
| INV-00010 | in_transit | 1.3 | WH-10 | PRD-009 | Office Desk Organizer Set | DSK-ORG-0009 | Paris Stockroom East | Paris | blank | France | 36 | 2024-06-10T14:10:00Z | 2 | 320 | 8 | SUP-0320 | BureauPro France | SHP-0008 | 2024-06-09T13:00:00Z | 2024-06-09T13:09:00Z | 2024-06-13T12:00:00Z | blank | LaPoste | ground | LPT9872341 | Lyon | blank | France |
| INV-00011 | delivered | 0.8 | WH-11 | PRD-010 | USB Flash Drive 64GB | USB-FD-64GB10 | Shanghai Tech Fulfillment | Shanghai | blank | China | 7 | 2024-06-12T12:53:00Z | 1 | 98 | 4 | SUP-0540 | FutureByte Ltd. | SHP-0009 | 2024-06-07T10:00:00Z | 2024-06-07T10:07:00Z | 2024-06-11T15:00:00Z | 2024-06-11T15:17:00Z | SF Express | air | SFEX3451234 | Beijing | blank | China |
| INV-00012 | delivered | 21.6 | WH-12 | PRD-011 | Hardcover Notebook A5 | NBK-A5-HC11 | New Jersey Station | Newark | NJ | USA | 5462 | 2024-06-12T18:30:00Z | 21 | 11580 | 800 | SUP-0111 | Stationery Depot LLC | SHP-0010 | 2024-06-08T15:00:00Z | 2024-06-08T16:02:00Z | 2024-06-11T18:15:00Z | 2024-06-11T18:19:00Z | UPS | ground | UPS98765432 | Boston | MA | USA |
| INV-00013 | blank | 55.2 | WH-13 | PRD-012 | Software License Pro Suite | SW-PR-012 | Digital License Cloud | Virtual | blank | Cloud | 850000 | 2024-05-31T12:00:00Z | 0 | 56000 | 0 | SUP-0001 | Self-Generated | blank | blank | blank | blank | blank | blank | blank | blank | blank | blank | blank |
| INV-00014 | pending | 2.5 | WH-14 | PRD-013 | Ceramic Travel Mug 500ml | MUG-TR-50013 | Frankfurt Logistic Park | Frankfurt | HE | Germany | 69 | 2024-06-14T10:14:00Z | 8 | 1100 | 16 | SUP-0112 | Porzellanfabrik GmbH | SHP-0011 | 2024-06-18T09:00:00Z | blank | 2024-06-21T15:00:00Z | blank | DHL | ground | blank | Hamburg | HH | Germany |
| INV-00015 | in_transit | 60.4 | WH-15 | PRD-014 | Premium Ballpoint Pen 3-Pack | PEN-PRM-3PK14 | Stockholm Office Supply | Stockholm | blank | Sweden | 11200 | 2024-06-13T13:20:00Z | 56 | 14500 | 1500 | SUP-0259 | Nordic Trade AB | SHP-0012 | 2024-06-10T14:00:00Z | 2024-06-10T14:13:00Z | 2024-06-14T17:00:00Z | blank | Eimskip | sea | EIMSKP128934 | Gothenburg | blank | Sweden |
| INV-00016 | delivered | 0.4 | WH-16 | PRD-015 | Designer Ceramic Plate Set (6pcs) | PLT-DSGN-6PC15 | Paris Culinary Depot | Paris | blank | France | 5 | 2024-06-14T17:00:00Z | 2 | 63 | 2 | SUP-0780 | CuisineArtisanal | SHP-0013 | 2024-06-07T11:00:00Z | 2024-06-07T11:28:00Z | 2024-06-12T13:30:00Z | 2024-06-12T13:41:00Z | LaPoste | express | LPT9876543 | Marseille | blank | France |
| INV-00017 | in_transit | 0.18 | WH-17 | PRD-016 | Luxury Fountain Pen | FNP-LUX16 | London Luxury Vault | London | blank | UK | 2 | 2024-06-15T10:04:00Z | 1 | 21 | 1 | SUP-0371 | ClassicWriters Ltd. | SHP-0014 | 2024-06-13T12:00:00Z | 2024-06-13T12:23:00Z | 2024-06-18T16:00:00Z | blank | Royal Mail | express | RMX87654321 | Edinburgh | blank | UK |
| INV-00018 | pending | 5.3 | WH-18 | PRD-017 | Polymer Lunch Box | LNCH-PL-17 | Bangalore Food Hub | Bangalore | KA | India | 188 | 2024-06-14T09:23:00Z | 14 | 1028 | 22 | SUP-0444 | LunchBox India Pvt. | SHP-0015 | 2024-06-17T12:00:00Z | blank | 2024-06-20T10:00:00Z | blank | Blue Dart | ground | blank | Hyderabad | TG | India |
| INV-00019 | delayed | 1.1 | WH-19 | PRD-018 | Fitness Tracker Pro X | FT-PRX-18 | Munich Tech Center | Munich | BY | Germany | 6 | 2024-06-14T11:30:00Z | 2 | 89 | 2 | SUP-0677 | FitTech Europe GmbH | SHP-0016 | 2024-06-12T10:00:00Z | 2024-06-12T10:45:00Z | 2024-06-15T12:00:00Z | blank | DHL | air | DHLX1234567 | Hamburg | HH | Germany |
| INV-00020 | pending | 5.9 | WH-20 | PRD-019 | Thermal Insulated Bottle | BOT-THRM-19 | Seattle Bottling Hub | Seattle | WA | USA | 208 | 2024-06-13T13:00:00Z | 7 | 2053 | 24 | SUP-0202 | HydroFlow Imports | SHP-0017 | 2024-06-16T15:30:00Z | blank | 2024-06-19T12:30:00Z | blank | UPS | ground | blank | Portland | OR | USA |
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
Median 3.2, from 0.04 to 260.3.
- string 19
- integer 4
- float 1
- datetime 5
Columns
29 columns in three groups| column | type | description | example |
|---|---|---|---|
| Text 19 columns | |||
inventory_record_id | string | Unique identifier for each inventory integration recordunique | INV-00001 |
product_id | string | Unique identifier for the product | PRD-001 |
product_name | string | Name of the product | Digital Gift Card $25 |
sku | string | Stock Keeping Unit identifier for the product | GC-25-0001 |
warehouse_id | string | Unique identifier for the warehouse storing the inventory | WH-01 |
warehouse_name | string | Name of the warehouseoptional | Cloud Distribution Hub |
warehouse_city | string | City where the warehouse is locatedoptional | Virtual |
warehouse_state | string | State or province where the warehouse is locatedoptional | OH |
warehouse_country | string | Country where the warehouse is located12 countries · optional | Cloud |
supplier_id | string | Unique identifier for the supplier of the productoptional | SUP-0001 |
supplier_name | string | Name of the supplieroptional | Self-Generated |
shipment_id | string | Unique identifier for the shipment related to this inventory recordoptional | SHP-0001 |
shipment_status | string | Current status of the shipment (e.g., pending, in_transit, delivered, delayed, cancelled)pending · in_transit · delivered · delayed · cancelled · optional | in_transit |
shipping_carrier | string | Name of the shipping carrier handling the shipment11 carriers · optional | FedEx |
shipping_method | string | Type of shipping method used (e.g., ground, air, sea, express)ground · air · sea · express · optional | ground |
shipping_tracking_number | string | Tracking number for the shipmentoptional | FX1234567890 |
destination_city | string | Destination city for the shipmentoptional | Chicago |
destination_state | string | Destination state or province for the shipmentoptional | IL |
destination_country | string | Destination country for the shipment10 countries · optional | USA |
| Numbers 5 columns | |||
inventory_quantity | integer | Current quantity of the product in the warehouse0 or more | 500000 |
pending_orders | integer | Number of outstanding orders for this product at this warehouse0 or more · optional | 0 |
fulfilled_orders | integer | Number of orders fulfilled from this warehouse for this product0 or more · optional | 20500 |
average_daily_demand | float | Average daily demand for this product (units per day)0 or more · optional | 42.5 |
reorder_point | integer | Inventory level at which a reorder should be triggered0 or more · optional | 0 |
| Dates and times 5 columns | |||
inventory_last_updated | datetime | Timestamp of the last inventory update | 2024-05-11T10:15:00Z |
shipment_expected_departure | datetime | Expected departure date and time for the shipmentoptional | 2024-06-12T13:00:00Z |
shipment_actual_departure | datetime | Actual departure date and time for the shipmentoptional | 2024-06-12T14:15:00Z |
shipment_expected_arrival | datetime | Expected arrival date and time for the shipmentoptional | 2024-06-16T19:00:00Z |
shipment_actual_arrival | datetime | Actual arrival date and time for the shipmentoptional | 2024-06-13T09:18:00Z |
Use it for
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.
- Inventory records200INV-0000142.5—INV-000027.2in_trans…INV-000031.2delivered
A software demo
Believable inventory records with product_
id, product_ name and sku to fill a screen in front of a buyer.
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.
- Each record links order to shipment
- Stock availability affects fulfillment time
- Shipping delays linked to carrier events
- Returns and refunds tracked
1 credit per row. Preview 20 rows free. Buy rows for the full run.
- Exports
- CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
- Licence
- yours to use, including commercially
- API slug
- e-commerce-logistics-inventory-integration