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.

  • last updated 12 Jul 2025
  • by GoMask
The brief that made it

Identifying and analyzing fulfillment process bottlenecks

Sample rows

preview · 8 of 130 rows · all 10 columns
order_status_idintegerdelay_duration_minutesintegerdelay_flagbooleanorder_idstringstatusstringstatus_timestampdatetimelocationstringhandled_bystringremarksstringexpected_next_statusstring
10010falseORD983275pending2022-01-04T08:11:00ZNYC_DC01user_1043Order received, awaiting processing.processing
10020falseORD983275processing2022-01-04T09:10:00ZNYC_DC01system_opsblankpicked
10030falseORD983275picked2022-01-04T09:42:00ZNYC_DC01user_1285Items picked from inventory.packed
10040falseORD983275packed2022-01-04T10:00:00ZNYC_DC01user_1285Package ready for shipment.shipped
10050falseORD983275shipped2022-01-04T12:13:00ZNYC_DC01shipping_team_Ablankin_transit
10060falseORD983275in_transit2022-01-05T01:20:00ZTRANSIT_34Bcourier_21blankout_for_delivery
10070falseORD983275out_for_delivery2022-01-05T09:33:00ZNYC_DELHUB1courier_21Parcel out for delivery.delivered
10080falseORD983275delivered2022-01-05T13:02:00ZNYC_DELHUB1courier_21Package delivered to recipient.returned

What the 130 rows show

from the 130-row sample
  • 10%delay_flag = true
  • 0median delay_duration_minutes
  • 10expected next statuses
  • 11statuses
delay_duration_minutes130 rows, in bands of 2,000
0651301270000306,00012kdelay_duration_minutes →

Median 0, from 0 to 10,080.

order_id130 rows · top 10 of 21 values
  1. ORD1465279
  2. ORD9832758
  3. ORD5291648
  4. ORD8832118
  5. ORD78215938
  6. ORD99321118
  7. ORD89223458
  8. ORD982348
  9. ORD7003817
  10. ORDGLOB1237
10 columns by typefrom the column list below
  • string 6
  • integer 2
  • datetime 1
  • boolean 1

Columns

10 columns in four groups
blueprint · 10 columns
columntypedescriptionexample
Text 6 columns
order_idstringUnique identifier for the order associated with this status updateORD983275
statusstringCurrent status of the order at this point in the fulfillment process11 valuespending
locationstringPhysical location or facility where the status update occurred (e.g., warehouse name, city, or hub code)optionalNYC_DC01
handled_bystringIdentifier for the staff member, system, or team responsible for this status updateoptionaluser_1043
remarksstringAdditional notes or comments about the status update, such as reasons for delay or exception detailsoptionalParcel out for delivery.
expected_next_statusstringThe next anticipated status in the fulfillment process for this order10 values · optionalprocessing
Numbers 2 columns
order_status_idintegerUnique identifier for each order status update eventunique1001
delay_duration_minutesintegerNumber of minutes the status update was delayed, if applicable0 or more · optional0
Dates and times 1 column
status_timestampdatetimeDate and time when this status was recorded2022-01-04T08:11:00Z
True or false 1 column
delay_flagbooleanIndicates if this status update was delayed beyond the expected time thresholdoptionalfalse

Use it for

  • delay flag10%13 of 130 rows

    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.

  • A software demo

    Believable rows with order_id, status and status_timestamp to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 10 columns, your size and your rules. See 20 rows before you pay.

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This dataset130 rows10 columns
Yours1,000 rows10 columnslocation: UK only

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.

Rules it was built with
  • 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
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
order-fulfillment-status-timeline

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