Warehouse Order Fulfillment Timelines
This dataset provides granular tracking of warehouse order fulfillment timelines, capturing key timestamps from picking to shipping, employee assignments, and destination details. It enables logistics managers to analyze workflow efficiency, identify bottlenecks, and optimize operational processes for faster, more reliable order delivery.
Sample rows
preview · 8 of 200 rows · all 21 columns| order_idstring | order_statusstring | fulfillment_duration_minutesfloat | warehouse_idstring | customer_idstring | order_datedatetime | pick_start_datetimedatetime | pick_end_datetimedatetime | pack_start_datetimedatetime | pack_end_datetimedatetime | ship_datetimedatetime | total_itemsinteger | picker_idstring | packer_idstring | shipping_methodstring | destination_street_addressstring | destination_citystring | destination_statestring | destination_postal_codestring | destination_countrystring | delay_reasonstring |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ORD000001 | shipped | 25 | WH01 | CUST1001 | 2024-06-01T09:12:00 | 2024-06-01T09:20:00 | 2024-06-01T09:28:00 | 2024-06-01T09:31:00 | 2024-06-01T09:35:00 | 2024-06-01T09:45:00 | 3 | PKR101 | PCKR101 | ground | 1422 Oak Lane | Chicago | IL | 60611 | USA | blank |
| ORD000002 | shipped | 26 | WH03 | CUST1002 | 2024-06-01T11:23:00 | 2024-06-01T11:25:00 | 2024-06-01T11:32:00 | 2024-06-01T11:34:00 | 2024-06-01T11:39:00 | 2024-06-01T11:51:00 | 7 | PKR102 | PCKR102 | express | 963 N. Clark St. | Chicago | IL | 60614 | USA | blank |
| ORD000003 | shipped | 35 | WH02 | CUST1003 | 2024-06-02T08:13:00 | 2024-06-02T08:20:00 | 2024-06-02T08:30:00 | 2024-06-02T08:32:00 | 2024-06-02T08:37:00 | 2024-06-02T08:55:00 | 2 | PKR103 | PCKR103 | ground | 501 Main Ave | Dallas | TX | 75201 | USA | blank |
| ORD000004 | shipped | 22 | WH05 | CUST1004 | 2024-06-02T14:51:00 | 2024-06-02T14:53:00 | 2024-06-02T15:01:00 | 2024-06-02T15:03:00 | 2024-06-02T15:09:00 | 2024-06-02T15:15:00 | 5 | PKR104 | PCKR104 | express | 2215 Market St. | Houston | TX | 77002 | USA | blank |
| ORD000005 | shipped | 40 | WH04 | CUST1005 | 2024-06-03T10:02:00 | 2024-06-03T10:10:00 | 2024-06-03T10:27:00 | 2024-06-03T10:30:00 | 2024-06-03T10:38:00 | 2024-06-03T10:50:00 | 8 | PKR105 | PCKR105 | ground | 2095 7th Ave | New York | NY | 10027 | USA | blank |
| ORD000006 | shipped | 29 | WH02 | CUST1006 | 2024-06-03T12:35:00 | 2024-06-03T12:42:00 | 2024-06-03T12:52:00 | 2024-06-03T12:56:00 | 2024-06-03T13:03:00 | 2024-06-03T13:11:00 | 10 | PKR106 | PCKR106 | ground | 1550 Sunset Blvd | Los Angeles | CA | 90028 | USA | blank |
| ORD000007 | shipped | 27 | WH05 | CUST1007 | 2024-06-03T09:10:00 | 2024-06-03T09:13:00 | 2024-06-03T09:20:00 | 2024-06-03T09:22:00 | 2024-06-03T09:29:00 | 2024-06-03T09:40:00 | 4 | PKR107 | PCKR107 | express | 3201 Broadway | San Francisco | CA | 94115 | USA | blank |
| ORD000008 | shipped | 18 | WH01 | CUST1008 | 2024-06-04T14:03:00 | 2024-06-04T14:07:00 | 2024-06-04T14:14:00 | 2024-06-04T14:16:00 | 2024-06-04T14:19:00 | 2024-06-04T14:25:00 | 9 | PKR108 | PCKR108 | ground | 4400 Pine St | Philadelphia | PA | 19104 | USA | blank |
| ORD000009 | shipped | 25 | WH03 | CUST1009 | 2024-06-04T10:46:00 | 2024-06-04T10:51:00 | 2024-06-04T10:59:00 | 2024-06-04T11:02:00 | 2024-06-04T11:07:00 | 2024-06-04T11:16:00 | 6 | PKR109 | PCKR109 | ground | 1802 Elm St | Cleveland | OH | 44113 | USA | blank |
| ORD000010 | shipped | 28 | WH02 | CUST1010 | 2024-06-05T13:23:00 | 2024-06-05T13:31:00 | 2024-06-05T13:39:00 | 2024-06-05T13:43:00 | 2024-06-05T13:50:00 | 2024-06-05T13:59:00 | 2 | PKR110 | PCKR110 | express | 320 Oak Dr | Seattle | WA | 98109 | USA | blank |
| ORD000011 | shipped | 34 | WH06 | CUST1011 | 2024-06-01T16:17:00 | 2024-06-01T16:23:00 | 2024-06-01T16:37:00 | 2024-06-01T16:40:00 | 2024-06-01T16:45:00 | 2024-06-01T16:57:00 | 12 | PKR111 | PCKR111 | air | 24 King St | Toronto | ON | M5V1B2 | Canada | blank |
| ORD000012 | shipped | 29 | WH08 | CUST1012 | 2024-06-02T15:32:00 | 2024-06-02T15:36:00 | 2024-06-02T15:43:00 | 2024-06-02T15:47:00 | 2024-06-02T15:53:00 | 2024-06-02T16:05:00 | 3 | PKR112 | PCKR112 | air | 120 Abbey Rd | London | ENG | NW89AA | UK | Delay due to customs clearance |
| ORD000013 | shipped | 40 | WH07 | CUST1013 | 2024-06-03T09:41:00 | 2024-06-03T09:45:00 | 2024-06-03T09:58:00 | 2024-06-03T10:01:00 | 2024-06-03T10:07:00 | 2024-06-03T10:21:00 | 18 | PKR113 | PCKR113 | air | 3 Harpa St | Reykjavik | IS | 101 | Iceland | Delay due to transatlantic delivery |
| ORD000014 | shipped | 28 | WH09 | CUST1014 | 2024-06-04T17:57:00 | 2024-06-04T18:02:00 | 2024-06-04T18:13:00 | 2024-06-04T18:15:00 | 2024-06-04T18:19:00 | 2024-06-04T18:30:00 | 6 | PKR114 | PCKR114 | other | 49 Queen St | Vancouver | BC | V5K0A1 | Canada | Delay due to ground transfer |
| ORD000015 | shipped | 32 | WH10 | CUST1015 | 2024-06-05T08:16:00 | 2024-06-05T08:22:00 | 2024-06-05T08:36:00 | 2024-06-05T08:39:00 | 2024-06-05T08:46:00 | 2024-06-05T08:54:00 | 2 | PKR115 | PCKR115 | air | 7 Maple Ave | Montreal | QC | H2Y1C6 | Canada | blank |
| ORD000016 | shipped | 33 | WH11 | CUST1016 | 2024-06-01T15:21:00 | 2024-06-01T15:27:00 | 2024-06-01T15:42:00 | 2024-06-01T15:45:00 | 2024-06-01T15:51:00 | 2024-06-01T16:00:00 | 13 | PKR116 | PCKR116 | air | 1811 Rue Sherbrooke | Montreal | QC | H3A2M7 | Canada | blank |
| ORD000017 | shipped | 35 | WH03 | CUST1017 | 2024-06-02T13:14:00 | 2024-06-02T13:20:00 | 2024-06-02T13:37:00 | 2024-06-02T13:40:00 | 2024-06-02T13:47:00 | 2024-06-02T13:55:00 | 1000 | PKR117 | blank | ground | 1810 Fannin St | Houston | TX | 77002 | USA | Bulk order processed in multiple shifts |
| ORD000018 | shipped | 21 | WH01 | CUST1018 | 2024-06-03T10:18:00 | 2024-06-03T10:24:00 | 2024-06-03T10:39:00 | blank | blank | 2024-06-03T10:45:00 | 500 | PKR118 | blank | ground | 900 Willow St | San Antonio | TX | 78215 | USA | Bulk order delayed due to shift change |
| ORD000019 | shipped | 32 | WH04 | CUST1019 | 2024-06-04T09:23:00 | 2024-06-04T09:27:00 | 2024-06-04T09:49:00 | blank | blank | 2024-06-04T09:59:00 | 750 | PKR119 | blank | ground | 3421 Park Blvd | Miami | FL | 33130 | USA | Bulk order delayed for packaging |
| ORD000020 | shipped | 23 | WH02 | CUST1020 | 2024-06-05T11:01:00 | 2024-06-05T11:07:00 | 2024-06-05T11:19:00 | blank | blank | 2024-06-05T11:30:00 | 900 | PKR120 | blank | ground | 1180 8th St | Orlando | FL | 32801 | USA | Bulk order delayed due to staff shortage |
What the 200 rows show
from the 200-row sample- 29.2median fulfillment_
duration_ minutes - 4shipping methods
- 10destination countries
- 42destination states
- 5median total_
items
Median 29.2, from 1.0 to 57.0.
- string 13
- integer 1
- float 1
- datetime 6
Columns
21 columns in three groups| column | type | description | example |
|---|---|---|---|
| Text 13 columns | |||
order_id | string | Unique identifier for each warehouse order.unique | ORD000001 |
customer_id | string | Unique identifier for the customer placing the order. | CUST1001 |
warehouse_id | string | Unique identifier for the warehouse processing the order.12 warehouses | WH01 |
order_status | string | Current status of the order (e.g., pending, picking, packing, shipped, cancelled).pending · picking · packing · shipped · cancelled | shipped |
picker_id | string | Identifier for the warehouse employee who performed picking.optional | PKR101 |
packer_id | string | Identifier for the warehouse employee who performed packing.optional | PCKR101 |
shipping_method | string | Method used to ship the order (e.g., ground, air, express).ground · air · express · other | ground |
destination_street_address | string | Street address for the order's destination. | 1422 Oak Lane |
destination_city | string | City for the order's destination. | Chicago |
destination_state | string | State or province for the order's destination. | IL |
destination_postal_code | string | Postal code for the order's destination. | 60611 |
destination_country | string | Country for the order's destination.10 countries | USA |
delay_reason | string | Reason for any delay in the fulfillment process, if applicable.optional | System test order |
| Numbers 2 columns | |||
total_items | integer | Total number of items in the order.1 or more | 3 |
fulfillment_duration_minutes | float | Total time in minutes from pick start to ship for the order.0 or more · optional | 25 |
| Dates and times 6 columns | |||
order_date | datetime | Date and time when the order was placed. | 2024-06-01T09:12:00 |
pick_start_datetime | datetime | Date and time when picking for the order started. | 2024-06-01T09:20:00 |
pick_end_datetime | datetime | Date and time when picking for the order was completed. | 2024-06-01T09:28:00 |
pack_start_datetime | datetime | Date and time when packing for the order started.optional | 2024-06-01T09:31:00 |
pack_end_datetime | datetime | Date and time when packing for the order was completed.optional | 2024-06-01T09:35:00 |
ship_datetime | datetime | Date and time when the order was shipped. | 2024-06-01T09:45:00 |
Use it for
A logistics dashboard
Fulfillment_
duration_ minutes by order_ 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.
- Orders200ORD00000125shippedORD00000226shippedORD00000335shipped
A software demo
Believable orders with customer_
id, warehouse_ id and order_ date to fill a screen in front of a buyer.
This dataset200 rows21 columns
Yours1,000 rows21 columnsdestination_street_address: UK only
blueprint · warehouse-order-fulfillment-timelines
Behind this dataset
Same schema. As many rows as you need.
These 200 rows came out of a blueprint — 21 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
- Track order status from entry to shipment
- Segment timelines by product type
- Flag delayed orders
- Include staff workload metrics
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-order-fulfillment-timelines