E-commerce Warehouse Robotics Utilization

This dataset provides detailed, shift-level operational metrics for warehouse robots in e-commerce fulfillment centers, including performance, downtime, energy consumption, and ROI indicators. It enables granular analysis of automation efficiency, identification of process bottlenecks, and data-driven resource allocation to optimize order processing speed and cost-effectiveness.

  • last updated 26 Jan 2026
  • by GoMask
The brief that made it

Analyzing warehouse robotics efficiency and utilization

Sample rows

preview · 8 of 78 rows · all 20 columns
robot_idstringrobot_typestringautomation_roi_usdfloatmaintenance_requiredbooleanfulfillment_center_idstringfulfillment_center_namestringlocation_citystringlocation_statestringlocation_countrystringoperation_datedateshiftstringorders_processedintegeritems_handledintegerdistance_traveled_metersfloatoperational_hoursfloatdowntime_minutesintegererror_countintegerenergy_consumed_kwhfloatbottleneck_flagbooleannotesstring
RBX-001Apicker388.45falseFC-ATL-1001Atlanta East HubAtlantaGAUSA2024-06-01morning122198352.87.524122.7falseblank
RBX-002Btransporter254.6falseFC-SEA-1002Seattle NorthSeattleWAUSA2024-06-01afternoon78132891.2812031.6falseblank
RBX-003Cpacker179.15falseFC-CHI-1003Chicago MidtownChicagoILUSA2024-06-01night5992102.56.20014.9falseblank
RBX-004Dpicker404.7falseFC-ATL-1001Atlanta East HubAtlantaGAUSA2024-06-02afternoon135210410.97.833124.5falseblank
RBX-005Esorter281.1falseFC-DAL-1004Dallas CentralDallasTXUSA2024-06-01morning881366258.516228.8falseblank
RBX-006Ftransporter225falseFC-SEA-1002Seattle NorthSeattleWAUSA2024-06-02night65114902.67.60030.1falseblank
RBX-007Gpicker421.75trueFC-CHI-1003Chicago MidtownChicagoILUSA2024-06-02morning145243332.48.251325.9trueRequired belt replacement due to frequent jams
RBX-008Hpacker158.4falseFC-DAL-1004Dallas CentralDallasTXUSA2024-06-02afternoon638998.37.129013.5falseblank

What the 78 rows show

from the 78-row sample

Picker (robot type) stands out: mean automation_roi_usd is 293.5, against 174.6 for the rest.

  • 15%maintenance_required = true
  • 179.6median automation_roi_usd
  • 3shifts
  • 5location countries
  • 15location cities
  • 15location states
Mean automation_roi_usd by robot_type78 rows
0200400293.5picker17 rows201.4transp…16 rows211.9sorter16 rows155.3packer17 rows116.6other12 rows
automation_roi_usd78 rows, in bands of 50
020404113614406350250450automation_roi_usd →

Median 179.6, from 69.4 to 421.8.

fulfillment_center_id78 rows · top 10 of 18 values
  1. FC-ATL-10015
  2. FC-SEA-10025
  3. FC-CHI-10035
  4. FC-DAL-10045
  5. FC-MIA-10055
  6. FC-BOS-10065
  7. FC-LAX-10075
  8. FC-NYC-10084
  9. FC-SW-224
  10. FC-MW-084
20 columns by typefrom the column list below
  • string 9
  • integer 4
  • float 4
  • date 1
  • boolean 2

Columns

20 columns in four groups
blueprint · 20 columns
columntypedescriptionexample
Text 9 columns
robot_idstringUnique identifier for each warehouse robotuniqueRBX-001A
robot_typestringType or model of the robot (e.g., picker, transporter, sorter)picker · transporter · sorter · packer · otherpicker
fulfillment_center_idstringUnique identifier for the fulfillment center where the robot operatesFC-ATL-1001
fulfillment_center_namestringName of the fulfillment centerAtlanta East Hub
location_citystringCity where the fulfillment center is locatedAtlanta
location_statestringState or region where the fulfillment center is locatedGA
location_countrystringCountry where the fulfillment center is located5 countriesUSA
shiftstringShift during which the robot operated (e.g., morning, afternoon, night)morning · afternoon · nightmorning
notesstringAdditional notes or comments about the robot's performance or operational contextoptionalRequired belt replacement…
Numbers 8 columns
orders_processedintegerNumber of orders processed by the robot during the shift0 or more122
items_handledintegerNumber of individual items handled by the robot during the shift0 or more198
distance_traveled_metersfloatTotal distance traveled by the robot in meters during the shift0 or more352.8
operational_hoursfloatTotal hours the robot was operational during the shift0 to 247.5
downtime_minutesintegerTotal downtime in minutes due to maintenance, charging, or errors during the shift0 or more24
error_countintegerNumber of errors or incidents encountered by the robot during the shift0 or more1
energy_consumed_kwhfloatTotal energy consumed by the robot in kilowatt-hours during the shift0 or more22.7
automation_roi_usdfloatEstimated return on investment (ROI) in USD for automation attributed to this robot during the shift0 or more · optional388.45
Dates and times 1 column
operation_datedateDate of the robot's operational record2024-06-01
True or false 2 columns
maintenance_requiredbooleanIndicates if the robot required maintenance during or after the shiftfalse
bottleneck_flagbooleanIndicates if the robot was involved in a process bottleneck during the shiftfalse

Use it for

  • maintenance re…15%12 of 78 rowsmean automation roi u…293.5pick…201.4tran…211.9sort…155.3pack…

    A logistics dashboard

    The maintenance_required rate, automation_roi_usd by robot_type and a breakdown of fulfillment_center_id. Excel, Power BI or Tableau.

  • Why do the 17 picker rows have a mean automation_roi_usd of 293.5?

    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 robots with robot_type, fulfillment_center_id and fulfillment_center_name to fill a screen in front of a buyer.

Not quite right?

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This dataset78 rows20 columns
Yours1,000 rows20 columnslocation_city: UK only

blueprint · e-commerce-warehouse-robotics-utilization

Behind this dataset

Same schema. As many rows as you need.

These 78 rows came out of a blueprint — 20 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 row represents one robot's daily summary in a warehouse.
  • Includes metrics: orders processed, uptime (hours), downtime (minutes), error incidents, and battery usage.
  • Tracks assignment type: picking, packing, sorting, or restocking.
  • Only robots active for at least 6 hours are included.
  • Downtime reasons categorized as maintenance, technical failure, or navigation error.
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
e-commerce-warehouse-robotics-utilization

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