Logistics
16 columns
200 rows
8 formats

Warehouse Picking Error Dataset

This dataset provides granular records of warehouse picking events, including error flags, types, and resolutions, along with picker and supervisor identifiers, item details, and timing metrics. It enables comprehensive analysis of operational efficiency, error patterns, and process improvements in warehouse management. Ideal for logistics optimization, workforce training evaluation, and root cause analysis.

last updated 20 Aug 2025
by GoMask

The brief that made it

Warehouse efficiency and error rate analysis

Sample rows

preview · 8 of 200 rows · all 16 columns

pick_event_idstring	error_typestring	pick_duration_secondsfloat	pick_error_flagboolean	warehouse_idstring	picker_idstring	pick_datetimedatetime	order_idstring	item_skustring	quantity_pickedinteger	location_codestring	supervisor_idstring	is_training_pickboolean	item_descriptionstring	error_descriptionstring	corrective_action_takenstring
PEV0001	blank	25.7	false	WH001	EMP1001	2023-12-31T23:59:59Z	ORD1000001	SKU-A123	1	WH001_B12-07	blank	false	Premium wireless mouse, ergonomic design	blank	blank
PEV0002	blank	41.4	false	WH002	EMP1002	2024-02-29T06:13:17Z	ORD1000002	SKU-B231	2	WH002_C03-15	blank	false	blank	blank	blank
PEV0003	blank	22	false	WH003	EMP1003	2024-03-05T09:14:51Z	ORD1000003	SKU-C002	1	WH003_D09-08	blank	true	USB-C charging cable for smartphones	blank	blank
PEV0004	blank	33.8	false	WH004	EMP1004	2024-04-14T08:45:20Z	ORD1000004	SKU-D344	3	WH004_A16-02	blank	true	blank	blank	blank
PEV0005	blank	18.5	false	WH005	EMP1005	2024-03-10T17:32:08Z	ORD1000005	SKU-E555	1	WH005_B05-12	blank	false	Adjustable laptop stand, silver finish	blank	blank
PEV0006	blank	135.3	false	WH001	EMP1006	2024-01-21T14:06:44Z	ORD1000006	SKU-F776	15	WH001_C08-19	blank	false	Bluetooth speaker, waterproof, portable	blank	blank
PEV0007	blank	350.9	false	WH002	EMP1007	2024-01-29T07:58:36Z	ORD1000007	SKU-G102	50	WH002_E17-03	blank	false	Wireless gaming headset, noise-cancelling	blank	blank
PEV0008	blank	21.3	false	WH003	EMP1008	2024-03-19T12:19:02Z	ORD1000008	SKU-H053	1	WH003_A11-10	blank	false	Desk lamp with USB port, LED lighting	blank	blank
PEV0009	blank	910.6	false	WH004	EMP1009	2024-02-05T22:40:18Z	ORD1000009	SKU-I844	80	WH004_F06-01	blank	false	Portable power bank, 10000mAh, fast charge	blank	blank
PEV0010	blank	53.2	false	WH005	EMP1010	2024-01-17T23:59:59Z	ORD1000010	SKU-J291	6	WH005_C01-09	blank	false	blank	blank	blank
PEV0011	blank	13.8	false	WH001	EMP1011	2024-03-28T15:27:05Z	ORD1000011	SKU-K812	1	WH001_D10-13	blank	true	HDMI cable, 6ft length, gold-plated connectors	blank	blank
PEV0012	blank	184.8	false	WH002	EMP1012	2024-03-01T08:12:41Z	ORD1000012	SKU-L642	20	WH002_E08-15	blank	false	Stainless steel water bottle, 750ml	blank	blank
PEV0013	blank	17.2	false	WH003	EMP1013	2024-02-15T13:05:22Z	ORD1000013	SKU-M908	1	WH003_B01-04	blank	false	Wireless charging pad, fast charge enabled	blank	blank
PEV0014	wrong_item	57	true	WH004	EMP1014	2024-03-07T19:53:14Z	ORD1000014	SKU-N203	1	WH004_D05-09	EMP2001	false	Noise cancelling earbuds, bluetooth	Picked incorrect item, SKU not matching order.	Returned item to location and picked correct SKU as per order.
PEV0015	blank	36.5	false	WH005	EMP1015	2024-04-01T18:24:05Z	ORD1000015	SKU-O701	5	WH005_F14-06	blank	false	blank	blank	blank
PEV0016	blank	16.7	false	WH001	EMP1016	2024-01-04T05:19:44Z	ORD1000016	SKU-P241	1	WH001_E18-11	blank	true	Classic notebook, ruled, 100 pages	blank	blank
PEV0017	damaged_item	48.3	true	WH002	EMP1017	2024-03-09T15:21:46Z	ORD1000017	SKU-Q621	2	WH002_A04-17	EMP2002	false	Multi-port USB hub, 6 connectors	Item found with broken USB connector during picking.	Item replaced with undamaged unit from same location.
PEV0018	blank	26.9	false	WH003	EMP1018	2024-02-08T14:50:16Z	ORD1000018	SKU-R330	3	WH003_F18-02	blank	false	Office supply pack, assorted items	blank	blank
PEV0019	blank	11.6	false	WH004	EMP1019	2024-03-11T09:38:22Z	ORD1000019	SKU-S019	1	WH004_C12-10	blank	true	Ergonomic keyboard, backlit keys	blank	blank
PEV0020	blank	117.1	false	WH005	EMP1020	2024-03-02T10:34:35Z	ORD1000020	SKU-T452	15	WH005_D09-01	blank	false	Smartwatch band, silicone, black	blank	blank

What the 200 rows show

from the 200-row sample

7%pick_error_flag = true
31.4median pick_duration_seconds
1median quantity_picked

error_type13 rows by value

pick_duration_seconds200 rows, in bands of 100

Median 31.4, from 10.3 to 910.6.

warehouse_id200 rows · 10 values

WH00532
WH00231
WH00330
WH00129
WH00428
WHSEA0211
WHDAL0510
WHLAX0110
WHNYC0310
WHMIA049

16 columns by typefrom the column list below

string 11
integer 1
float 1
datetime 1
boolean 2

Columns

16 columns in four groups

blueprint · 16 columns
column	type	description	example
Text 11 columns
`pick_event_id`	string	Unique identifier for each pick eventunique	PEV0001
`warehouse_id`	string	Identifier for the warehouse where the pick event occurred10 warehouses	WH001
`picker_id`	string	Unique identifier for the employee who performed the pick	EMP1001
`order_id`	string	Identifier for the customer order associated with the pick event	ORD1000001
`item_sku`	string	Stock Keeping Unit (SKU) of the item picked	SKU-A123
`item_description`	string	Short description of the item pickedoptional	Portable SSD, 1TB, USB-C
`location_code`	string	Code representing the storage location from which the item was picked	WH001_B12-07
`error_type`	string	Type of error encountered (e.g., wrong item, wrong quantity, wrong location, damaged item)5 values · optional	wrong_item
`error_description`	string	Detailed description of the error, if anyoptional	Picked incorrect item, SK…
`corrective_action_taken`	string	Description of any corrective action taken to resolve the erroroptional	Returned item to location…
`supervisor_id`	string	Identifier for the supervisor who reviewed or approved the corrective actionoptional	EMP2001
Numbers 2 columns
`quantity_picked`	integer	Number of units picked during the event1 or more	1
`pick_duration_seconds`	float	Time taken to complete the pick event, in seconds0 or more · optional	25.7
Dates and times 1 column
`pick_datetime`	datetime	Date and time when the pick event occurred	2023-12-31T23:59:59Z
True or false 2 columns
`pick_error_flag`	boolean	Indicates if an error occurred during picking (true if error, false otherwise)	false
`is_training_pick`	boolean	Indicates if the pick event was performed during trainingoptional	false

Use it for

A logistics dashboard
The pick_error_flag rate, pick_duration_seconds by error_type and a breakdown of warehouse_id. Excel, Power BI or Tableau.
Why do 13 of 200 rows have pick_error_flag = true?
A class exercise
Hand out the rows and one question. Everyone works from the same 200 rows.
Pick events200
PEV000125.7—
PEV001457wrong_it…
PEV001748.3damaged_…
A software demo
Believable pick events with warehouse_id, picker_id and pick_datetime to fill a screen in front of a buyer.

This dataset200 rows16 columns

Yours1,000 rows16 columnslocation_code: UK only

blueprint · warehouse-picking-error-dataset

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 16 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

Picker ID and shift recorded
Product location accuracy validated
Error type classified
Correction actions logged

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

Open the blueprint in Data Factory

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: warehouse-picking-error-dataset

What should your data show?

No signup. No card.

Sample rows

What the 200 rows show

Columns

Use it for

A logistics dashboard

A class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Logistics

What should your data show?