Order Fulfillment Status Timeline
This dataset provides a detailed, timestamped record of every status update for orders as they move through the fulfillment process, including delay tracking and responsible parties. It enables logistics teams to monitor order progress, identify process bottlenecks, and analyze operational efficiency across facilities and staff. The dataset is ideal for root cause analysis, performance benchmarking, and real-time logistics monitoring.
Sample rows
preview · 8 of 130 rows · all 10 columns| order_status_idinteger | delay_duration_minutesinteger | delay_flagboolean | order_idstring | statusstring | status_timestampdatetime | locationstring | handled_bystring | remarksstring | expected_next_statusstring |
|---|---|---|---|---|---|---|---|---|---|
| 1001 | 0 | false | ORD983275 | pending | 2022-01-04T08:11:00Z | NYC_DC01 | user_1043 | Order received, awaiting processing. | processing |
| 1002 | 0 | false | ORD983275 | processing | 2022-01-04T09:10:00Z | NYC_DC01 | system_ops | blank | picked |
| 1003 | 0 | false | ORD983275 | picked | 2022-01-04T09:42:00Z | NYC_DC01 | user_1285 | Items picked from inventory. | packed |
| 1004 | 0 | false | ORD983275 | packed | 2022-01-04T10:00:00Z | NYC_DC01 | user_1285 | Package ready for shipment. | shipped |
| 1005 | 0 | false | ORD983275 | shipped | 2022-01-04T12:13:00Z | NYC_DC01 | shipping_team_A | blank | in_transit |
| 1006 | 0 | false | ORD983275 | in_transit | 2022-01-05T01:20:00Z | TRANSIT_34B | courier_21 | blank | out_for_delivery |
| 1007 | 0 | false | ORD983275 | out_for_delivery | 2022-01-05T09:33:00Z | NYC_DELHUB1 | courier_21 | Parcel out for delivery. | delivered |
| 1008 | 0 | false | ORD983275 | delivered | 2022-01-05T13:02:00Z | NYC_DELHUB1 | courier_21 | Package delivered to recipient. | returned |
| 1009 | 0 | false | ORD529164 | pending | 2023-03-10T06:25:00Z | LA_WAREHOUSE5 | user_1099 | Order placed, processing soon. | processing |
| 1010 | 0 | false | ORD529164 | processing | 2023-03-10T07:10:00Z | LA_WAREHOUSE5 | system_ops | blank | picked |
| 1011 | 0 | false | ORD529164 | picked | 2023-03-10T07:50:00Z | LA_WAREHOUSE5 | user_1122 | Inventory picked. | packed |
| 1012 | 120 | true | ORD529164 | packed | 2023-03-10T08:20:00Z | LA_WAREHOUSE5 | user_1122 | blank | shipped |
| 1013 | 0 | false | ORD529164 | shipped | 2023-03-10T10:45:00Z | LA_WAREHOUSE5 | shipping_team_B | Shipment delayed due to high volume. | in_transit |
| 1014 | 0 | false | ORD529164 | in_transit | 2023-03-10T22:18:00Z | TRANSIT_88Z | courier_34 | blank | out_for_delivery |
| 1015 | 0 | false | ORD529164 | out_for_delivery | 2023-03-11T08:05:00Z | LA_DELHUB2 | courier_34 | Courier assigned, delivery in progress. | delivered |
| 1016 | 0 | false | ORD529164 | delivered | 2023-03-11T12:15:00Z | LA_DELHUB2 | courier_34 | Delivered at front desk. | returned |
| 1017 | 1440 | true | ORD700381 | pending | 2023-06-14T14:04:00Z | MUMBAI_PORT | user_1311 | blank | processing |
| 1018 | 0 | false | ORD700381 | processing | 2023-06-15T15:00:00Z | MUMBAI_PORT | system_import | Processing delayed due to customs. | packed |
| 1019 | 0 | false | ORD700381 | packed | 2023-06-15T19:25:00Z | MUMBAI_PORT | user_1382 | blank | shipped |
| 1020 | 0 | false | ORD700381 | shipped | 2023-06-16T06:30:00Z | MUMBAI_PORT | shipping_team_IND | Shipment left for destination. | in_transit |
What the 130 rows show
from the 130-row sample- 10%delay_
flag = true - 0median delay_
duration_ minutes - 10expected next statuses
- 11statuses
Median 0, from 0 to 10,080.
- string 6
- integer 2
- datetime 1
- boolean 1
Columns
10 columns in four groups| column | type | description | example |
|---|---|---|---|
| Text 6 columns | |||
order_id | string | Unique identifier for the order associated with this status update | ORD983275 |
status | string | Current status of the order at this point in the fulfillment process11 values | pending |
location | string | Physical location or facility where the status update occurred (e.g., warehouse name, city, or hub code)optional | NYC_DC01 |
handled_by | string | Identifier for the staff member, system, or team responsible for this status updateoptional | user_1043 |
remarks | string | Additional notes or comments about the status update, such as reasons for delay or exception detailsoptional | Parcel out for delivery. |
expected_next_status | string | The next anticipated status in the fulfillment process for this order10 values · optional | processing |
| Numbers 2 columns | |||
order_status_id | integer | Unique identifier for each order status update eventunique | 1001 |
delay_duration_minutes | integer | Number of minutes the status update was delayed, if applicable0 or more · optional | 0 |
| Dates and times 1 column | |||
status_timestamp | datetime | Date and time when this status was recorded | 2022-01-04T08:11:00Z |
| True or false 1 column | |||
delay_flag | boolean | Indicates if this status update was delayed beyond the expected time thresholdoptional | false |
Use it for
A logistics dashboard
The delay_
flag rate, delay_ duration_ minutes and a breakdown of order_ id. Excel, Power BI or Tableau. Why do 13 of 130 rows have delay_
flag = true? A class exercise
Hand out the rows and one question. Everyone works from the same 130 rows.
- Rows13010010false1012120true10171440true
A software demo
Believable rows with order_
id, status and status_ timestamp to fill a screen in front of a buyer.
blueprint · order-fulfillment-status-timeline
Behind this dataset
Same schema. As many rows as you need.
These 130 rows came out of a blueprint — 10 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 order must pass through all defined statuses
- Timestamp every status update
- Flag orders pending over 48 hours in one status
- Statuses must proceed sequentially
- Missing status updates require investigation
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
- order-fulfillment-status-timeline