Order Fulfillment Step Tracking

This dataset provides a detailed, step-by-step log of e-commerce order fulfillment processes, capturing timestamps, responsible parties, exceptions, and resolution actions for each phase. It enables granular tracking of operational performance, identification of bottlenecks, and systematic exception handling to optimize fulfillment workflows. Ideal for process improvement, root cause analysis, and service level monitoring in e-commerce logistics.

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

Analyzing and optimizing e-commerce fulfillment workflows

Sample rows

preview · 8 of 200 rows · all 14 columns
order_fulfillment_step_idstringstep_namestringstep_sequenceintegerexception_flagbooleanstep_statusstringorder_idstringstep_started_atdatetimestep_completed_atdatetimeresponsible_partystringlocationstringexception_typestringexception_descriptionstringnotesstringresolution_actionstring
FS00001Order Received1falsecompletedORD20230401012023-04-01T08:30:00Z2023-04-01T08:30:10Zweb_portalOnlineblankblankOrder placed via website.blank
FS00002Payment Confirmed2falsecompletedORD20230401012023-04-01T08:31:00Z2023-04-01T08:31:10Zpayments_teamHQblankblankPayment processed successfully.blank
FS00003Inventory Allocated3falsecompletedORD20230401012023-04-01T08:32:00Z2023-04-01T08:33:00Zinv_sysWarehouse_1blankblankblankblank
FS00004Picked4falsecompletedORD20230401012023-04-01T08:35:00Z2023-04-01T08:38:00Zworker_12Warehouse_1blankblankPicked by shift A team.blank
FS00005Packed5falsecompletedORD20230401012023-04-01T08:39:00Z2023-04-01T08:41:00Zpacker_janeWarehouse_1blankblankPacked with standard packing.blank
FS00006Order Received1falsecompletedORD20230401022023-04-02T09:10:00Z2023-04-02T09:10:09Zmobile_appOnlineblankblankblankblank
FS00007Payment Confirmed2truependingORD20230401022023-04-02T09:12:00Zblankpayments_teamHQPayment DeclinedCredit card declined by bank.Awaiting customer response.Customer contacted for updated payment.
FS00008Order Received1falsecompletedORD20230401032023-04-03T10:05:00Z2023-04-03T10:05:10Zapi_serviceOnlineblankblankAPI order placement.blank

What the 200 rows show

from the 200-row sample

Packed (step name) stands out: mean step_sequence is 5.2, against 2.3 for the rest.

  • 10%exception_flag = true
  • 2median step_sequence
  • 37locations
  • 53responsible parties
  • 54orders
Mean step_sequence by step_name199 rows
0481.0Orde…54 ro…2.0Paym…41 ro…3.1Inve…36 ro…4.1Pick…28 ro…5.2Pack…26 ro…2.7Exce…6 rows2.3Canc…8 rows
step_sequence199 rows, in bands of 0.5
0306054052032031026413.56step_sequence →

Median 2, from 1 to 6.

step_status199 rows with a value · 1 left blank
  1. completed171
  2. failed15
  3. cancelled8
  4. pending5
14 columns by typefrom the column list below
  • string 10
  • integer 1
  • datetime 2
  • boolean 1

Columns

14 columns in four groups
blueprint · 14 columns
columntypedescriptionexample
Text 10 columns
order_fulfillment_step_idstringUnique identifier for each fulfillment step log entry.uniqueFS00001
order_idstringUnique identifier for the e-commerce order associated with this fulfillment step.ORD2023040101
step_namestringDescriptive name of the fulfillment step (e.g., 'Order Received', 'Picked', 'Packed', 'Shipped').11 valuesOrder Received
step_statusstringStatus of the fulfillment step (e.g., 'completed', 'pending', 'failed').pending · in_progress · completed · failed · cancelledcompleted
responsible_partystringName or identifier of the person, team, or system responsible for this step.optionalweb_portal
locationstringPhysical or logical location where the step was performed (e.g., warehouse name, facility code).optionalOnline
exception_typestringType or category of exception encountered, if any (e.g., 'Inventory Shortage', 'Address Error').7 types · optionalPayment Declined
exception_descriptionstringDetailed description of the exception, if any.optionalCredit card declined by b…
resolution_actionstringDescription of the action taken to resolve the exception, if applicable.optionalCustomer contacted for up…
notesstringAdditional comments or notes about this fulfillment step.optionalPicked by shift A team.
Numbers 1 column
step_sequenceintegerThe sequence number of this step within the fulfillment process for the order.1 or more1
Dates and times 2 columns
step_started_atdatetimeTimestamp when this fulfillment step started.optional2023-04-01T08:30:00Z
step_completed_atdatetimeTimestamp when this fulfillment step was completed.optional2023-04-01T08:30:10Z
True or false 1 column
exception_flagbooleanIndicates whether an exception occurred during this step.false

Use it for

  • exception flag10%20 of 199 rowsmean step sequence by…1.0Orde…2.0Paym…3.1Inve…4.1Pick…

    An e-commerce dashboard

    The exception_flag rate, step_sequence by step_name and a breakdown of step_status. Excel, Power BI or Tableau.

  • Why do the 26 Packed rows have a mean step_sequence of 5.2?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable order fulfillment steps with order_id, step_sequence and step_name to fill a screen in front of a buyer.

Not quite right?

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This dataset200 rows14 columns
Yours1,000 rows14 columnslocation: UK only

blueprint · order-fulfillment-step-tracking

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
  • Each order has sequential step records
  • Track timestamps and step completion status
  • Flag exceptions (delay, error, mispick)
  • No real customer data
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
order-fulfillment-step-tracking

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