Retail Workforce Shift Optimization

This dataset provides comprehensive records of retail staff shifts, availability, and labor costs across multiple store locations. It enables detailed analysis and optimization of workforce scheduling, helping retailers reduce labor costs, improve coverage, and ensure compliance with employee availability. The dataset is ideal for workforce analytics, scheduling automation, and operational efficiency improvements.

  • opened 8 times
  • last updated 5 Sept 2025
  • by GoMask
The brief that made it

Workforce scheduling and shift optimization

Sample rows

preview · 8 of 200 rows · all 22 columns
shift_idintegerrolestringlabor_costfloatstore_statestringemployee_idintegeremployee_namestringshift_datedateshift_start_timedatetimeshift_end_timedatetimescheduled_hoursfloathourly_wagefloatstore_idintegerstore_namestringstore_citystringstore_postal_codestringstore_countrystringavailability_datedateavailability_start_timedatetimeavailability_end_timedatetimeis_availablebooleanshift_statusstringnotesstring
1cashier118AZ101Maria Bennett2024-07-012024-07-01T08:00:002024-07-01T16:00:00814.7510SuperMart DowntownPhoenix85001USA2024-07-012024-07-01T07:00:002024-07-01T17:00:00truescheduledPrefers morning shifts.
2manager256.5AZ102Jeffrey Wang2024-07-012024-07-01T09:00:002024-07-01T18:00:00928.511SuperMart EastMesa85201USA2024-07-012024-07-01T08:30:002024-07-01T19:00:00truecompletedCovered for supervisor sick leave.
3customer service64AZ103Olivia Patel2024-07-012024-07-01T10:00:002024-07-01T14:00:0041612SuperMart NorthScottsdale85251USA2024-07-012024-07-01T09:00:002024-07-01T15:00:00truescheduledblank
4stock associate106AZ104Daniel Martinez2024-07-022024-07-02T06:00:002024-07-02T14:00:00813.2513SuperMart WestGlendale85301USA2024-07-022024-07-02T05:30:002024-07-02T15:00:00truescheduledRequested extra restocking time.
5cashier120AZ105Sarah Kim2024-07-022024-07-02T12:00:002024-07-02T20:00:0081514SuperMart CentralTucson85701USA2024-07-022024-07-02T11:00:002024-07-02T21:00:00truescheduledPrefers closing shifts.
6supervisor172AZ106Michael O'Connor2024-07-022024-07-02T14:00:002024-07-02T22:00:00821.515SuperMart UptownChandler85225USA2024-07-022024-07-02T14:00:002024-07-02T22:30:00truecompletedCovered late customer rush.
7customer service93AZ107Emily Johnson2024-07-032024-07-03T09:00:002024-07-03T15:00:00615.516SuperMart EastGilbert85234USA2024-07-032024-07-03T09:00:002024-07-03T16:00:00truescheduledblank
8stock associate110AZ108David Smith2024-07-032024-07-03T05:00:002024-07-03T13:00:00813.7517SuperMart NorthTempe85281USA2024-07-032024-07-03T05:00:002024-07-03T14:00:00truescheduledEarly shift requested.

What the 200 rows show

from the 200-row sample

Manager role stands out: mean labor_cost is 247.5, against 120.4 for the rest.

  • 120.0median labor_cost
  • 4shift statuses
  • 45store cities
  • 7.0median scheduled_hours
  • 17.3median hourly_wage
Mean labor_cost by role200 rows
0200400102.8cashi…41 rows247.5manag…36 rows98.3stock…39 rows113.2custo…38 rows172.5super…37 rows112.1other9 rows
labor_cost200 rows, in bands of 25
035709356325161072014150175300labor_cost →

Median 120.0, from 50.0 to 279.0.

store_state200 rows · 4 values
  1. AZ100
  2. OR65
  3. WA24
  4. CO11
22 columns by typefrom the column list below
  • string 9
  • integer 3
  • float 3
  • date 2
  • datetime 4
  • boolean 1

Columns

22 columns in four groups
blueprint · 22 columns
columntypedescriptionexample
Text 9 columns
employee_namestringFull name of the retail staff memberMaria Bennett
rolestringJob role or position of the staff member (e.g., cashier, manager, stock associate)6 valuescashier
store_namestringName of the retail store locationSuperMart Downtown
store_citystringCity where the store is locatedPhoenix
store_statestringState or province where the store is located4 statesAZ
store_postal_codestringPostal code for the store locationoptional85001
store_countrystringCountry where the store is locatedUSA
shift_statusstringStatus of the shift assignment (e.g., scheduled, completed, cancelled, swapped)scheduled · completed · cancelled · swappedscheduled
notesstringAdditional notes or comments related to the shift or availabilityoptionalPrefers morning shifts.
Numbers 6 columns
shift_idintegerUnique identifier for each scheduled shiftunique1
employee_idintegerUnique identifier for each retail staff member101
scheduled_hoursfloatTotal number of hours scheduled for the shift0 to 248
hourly_wagefloatHourly wage of the staff member for this shift0 or more14.75
labor_costfloatTotal labor cost for the shift (scheduled_hours * hourly_wage)0 or more118
store_idintegerUnique identifier for the retail store location10
Dates and times 6 columns
shift_datedateDate of the scheduled shift2024-07-01
shift_start_timedatetimeStart time of the scheduled shift2024-07-01T08:00:00
shift_end_timedatetimeEnd time of the scheduled shift2024-07-01T16:00:00
availability_datedateDate for which the staff member's availability is recordedoptional2024-07-01
availability_start_timedatetimeStart time of the staff member's availability on the given dateoptional2024-07-01T07:00:00
availability_end_timedatetimeEnd time of the staff member's availability on the given dateoptional2024-07-01T17:00:00
True or false 1 column
is_availablebooleanIndicates if the staff member is available for work during the specified time windowoptionaltrue

Use it for

  • median labor c…120.0200 rowsmean labor cost by ro…102.8cash…247.5mana…98.3stoc…113.2cust…

    A human resources dashboard

    Labor_cost by role and a breakdown of store_state. Excel, Power BI or Tableau.

  • Why do the 36 manager rows have a mean labor_cost of 247.5?

    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 rows with employee_id, employee_name and role to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 22 columns, your size and your rules. See 20 rows before you pay.

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1,000 rows: $1.99 · 10,000: $12.99One-time. No subscription. All prices

This dataset200 rows22 columns
Yours1,000 rows22 columnsstore_city: UK only

blueprint · retail-workforce-shift-optimization

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 22 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
  • Employee ID and shift time required
  • Store zone included
  • Flag overtime shifts
  • Exclude inactive employees
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
retail-workforce-shift-optimization

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