Logistics
14 columns
200 rows
8 formats

Supply Chain Inventory Movements

This dataset provides granular, timestamped records of inventory movements across multiple locations, including incoming and outgoing shipments, stockouts, and resulting inventory levels. It enables comprehensive supply chain analysis, demand forecasting, and real-time stockout monitoring, making it valuable for optimizing inventory management and logistics operations.

opened 16 times
last updated 12 Jul 2025
by GoMask

The brief that made it

Real-time inventory tracking and stockout prevention

Sample rows

preview · 8 of 200 rows · all 14 columns

inventory_movement_idstring	movement_typestring	movement_quantityinteger	stockout_flagboolean	supplier_idstring	product_idstring	product_namestring	location_idstring	location_namestring	movement_datetimedatetime	current_inventory_levelinteger	shipment_idstring	customer_idstring	notesstring
IM-00001	incoming	8500	false	SUP-001	P-10001	Standard Ballpoint Pen Blue	LOC-001	Central Warehouse	2023-01-03T09:13:24Z	8500	SHIP-1001	blank	Routine restock from supplier for Q1 demand
IM-00002	outgoing	-3200	false	blank	P-10001	Standard Ballpoint Pen Blue	LOC-001	Central Warehouse	2023-01-04T13:44:18Z	5300	SHIP-1002	CUST-0001	Bulk order for retail partner
IM-00003	outgoing	-5300	true	blank	P-10001	Standard Ballpoint Pen Blue	LOC-001	Central Warehouse	2023-01-06T11:01:08Z	0	SHIP-1003	CUST-0002	Unexpected high demand, inventory depleted
IM-00004	incoming	7200	false	SUP-002	P-10002	A4 Copy Paper 80gsm	LOC-002	East Distribution	2023-01-03T10:22:57Z	7200	SHIP-1004	blank	Pallet delivery, eastern region
IM-00005	outgoing	-1000	false	blank	P-10002	A4 Copy Paper 80gsm	LOC-002	East Distribution	2023-01-05T15:19:12Z	6200	SHIP-1005	CUST-0003	Contract delivery for office park
IM-00006	stockout	0	true	blank	P-10002	A4 Copy Paper 80gsm	LOC-002	East Distribution	2023-01-08T09:05:00Z	0	blank	blank	Stockout event - all paper distributed
IM-00007	incoming	12	false	SUP-003	P-10003	Executive Notepad A5 Lined	LOC-003	Small Retail Store - Urban	2023-01-02T08:27:11Z	12	SHIP-1006	blank	Direct delivery, urban retail
IM-00008	outgoing	-7	false	blank	P-10003	Executive Notepad A5 Lined	LOC-003	Small Retail Store - Urban	2023-01-03T11:32:52Z	5	SHIP-1007	CUST-0004	Sold during back-to-school promo
IM-00009	stockout	0	true	blank	P-10003	Executive Notepad A5 Lined	LOC-003	Small Retail Store - Urban	2023-01-06T18:45:10Z	0	blank	blank	Sold out after weekend sales
IM-00010	incoming	960	false	SUP-004	P-10004	Desk Organizer Metal Mesh	LOC-004	North Storage Facility	2023-01-04T08:15:30Z	960	SHIP-1008	blank	Restock for Q1 new inventory
IM-00011	outgoing	-700	false	blank	P-10004	Desk Organizer Metal Mesh	LOC-004	North Storage Facility	2023-01-05T12:00:00Z	260	SHIP-1009	CUST-0005	Bulk purchase by business client
IM-00012	incoming	2200	false	SUP-005	P-10005	Highlighter Set 5 Colors	LOC-002	East Distribution	2023-01-07T15:45:17Z	2200	SHIP-1010	blank	Peak season restock
IM-00013	outgoing	-900	false	blank	P-10005	Highlighter Set 5 Colors	LOC-002	East Distribution	2023-01-08T13:15:43Z	1300	SHIP-1011	CUST-0006	Department order for local college
IM-00014	outgoing	-1300	true	blank	P-10005	Highlighter Set 5 Colors	LOC-002	East Distribution	2023-01-10T10:00:00Z	0	SHIP-1012	CUST-0007	Stock depleted after school campaign
IM-00015	incoming	300	false	SUP-006	P-10006	Adjustable Desk Lamp White	LOC-005	South Distribution Center	2023-01-01T09:01:00Z	300	SHIP-1013	blank	First delivery of new SKU
IM-00016	outgoing	-100	false	blank	P-10006	Adjustable Desk Lamp White	LOC-005	South Distribution Center	2023-01-03T13:13:00Z	200	SHIP-1014	CUST-0008	Order for regional reseller
IM-00017	incoming	110	false	SUP-007	P-10007	Whiteboard Magnetic 120x90cm	LOC-002	East Distribution	2023-01-02T14:14:14Z	110	SHIP-1015	blank	Restock for classroom supplies
IM-00018	outgoing	-110	true	blank	P-10007	Whiteboard Magnetic 120x90cm	LOC-002	East Distribution	2023-01-05T12:44:09Z	0	SHIP-1016	CUST-0009	Entire lot sold, restock required
IM-00019	incoming	5	false	SUP-008	P-10008	Premium Stapler Black	LOC-006	Flagship Megastore	2023-01-08T10:08:08Z	5	SHIP-1017	blank	Collector’s edition batch
IM-00020	outgoing	-2	false	blank	P-10008	Premium Stapler Black	LOC-006	Flagship Megastore	2023-01-09T12:22:22Z	3	SHIP-1018	CUST-0010	VIP customer purchase

What the 200 rows show

from the 200-row sample

Stockout (movement type) stands out: 23 of its 23 rows have stockout_flag = true, against 42 of 177 for the rest.

33%stockout_flag = true
-1median movement_quantity
10locations
20products
21location names
57product names

Stockout flag rate by movement_typestockout_flag = true

movement_quantity200 rows, in bands of 2,000

Median -1, from -6,000 to 9,000.

supplier_id77 rows with a value · 123 left blank

SUP-0106
SUP-0116
SUP-0145
SUP-0024
SUP-0034
SUP-0044
SUP-0074
SUP-0094
SUP-0124
SUP-0134

14 columns by typefrom the column list below

string 10
integer 2
datetime 1
boolean 1

Columns

14 columns in four groups

blueprint · 14 columns
column	type	description	example
Text 10 columns
`inventory_movement_id`	string	Unique identifier for each inventory movement recordunique	IM-00001
`product_id`	string	Unique identifier for the product involved in the movement	P-10001
`product_name`	string	Descriptive name of the product	A4 Copy Paper 80gsm
`location_id`	string	Unique identifier for the warehouse or storage location10 locations	LOC-001
`location_name`	string	Name or description of the warehouse or storage location	Central Warehouse
`movement_type`	string	Type of inventory movement: incoming, outgoing, or stockoutincoming · outgoing · stockout	incoming
`shipment_id`	string	Identifier for the associated shipment, if applicableoptional	SHIP-1001
`supplier_id`	string	Unique identifier for the supplier (for incoming movements only)optional	SUP-001
`customer_id`	string	Unique identifier for the customer (for outgoing movements only)optional	CUST-0001
`notes`	string	Additional notes or comments about the movementoptional	Peak season restock
Numbers 2 columns
`movement_quantity`	integer	Number of product units moved (positive for incoming, negative for outgoing, zero for stockout)	8500
`current_inventory_level`	integer	Inventory level of the product at the location immediately after the movement0 or more	8500
Dates and times 1 column
`movement_datetime`	datetime	Timestamp when the inventory movement occurred	2023-01-03T09:13:24Z
True or false 1 column
`stockout_flag`	boolean	Indicates if the movement resulted in a stockout (true if inventory level is zero after movement)	false

Use it for

A logistics dashboard
The stockout_flag rate, movement_quantity by movement_type and a breakdown of supplier_id. Excel, Power BI or Tableau.
Why do 65 of 200 rows have stockout_flag = true?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Inventory movements200
IM-000018500incoming
IM-00003-5300outgoing
IM-000060stockout
A software demo
Believable inventory movements with product_id, product_name and location_id to fill a screen in front of a buyer.

This dataset200 rows14 columns

Yours10,000 rows14 columnslocation_id: UK only

blueprint · supply-chain-inventory-movements

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 14 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

Include product ID, warehouse, date
Record quantity in/out, current stock
Simulate random supply disruptions
No SKU-level identifiers

Rows1,000 rows10,000 rows100,000 rows1,000,000 rows

Open the blueprint in Data Factory

1 credit per row. New accounts start with 25 free credits.

Exports: CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence: yours to use, including commercially
API slug: supply-chain-inventory-movements

What should your data show?

No signup. No card.

Sample rows

What the 200 rows show

Columns

Use it for

A logistics dashboard

A root-cause class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Logistics

What should your data show?