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.
Sample rows
preview · 8 of 78 rows · all 20 columns| robot_idstring | robot_typestring | automation_roi_usdfloat | maintenance_requiredboolean | fulfillment_center_idstring | fulfillment_center_namestring | location_citystring | location_statestring | location_countrystring | operation_datedate | shiftstring | orders_processedinteger | items_handledinteger | distance_traveled_metersfloat | operational_hoursfloat | downtime_minutesinteger | error_countinteger | energy_consumed_kwhfloat | bottleneck_flagboolean | notesstring |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| RBX-001A | picker | 388.45 | false | FC-ATL-1001 | Atlanta East Hub | Atlanta | GA | USA | 2024-06-01 | morning | 122 | 198 | 352.8 | 7.5 | 24 | 1 | 22.7 | false | blank |
| RBX-002B | transporter | 254.6 | false | FC-SEA-1002 | Seattle North | Seattle | WA | USA | 2024-06-01 | afternoon | 78 | 132 | 891.2 | 8 | 12 | 0 | 31.6 | false | blank |
| RBX-003C | packer | 179.15 | false | FC-CHI-1003 | Chicago Midtown | Chicago | IL | USA | 2024-06-01 | night | 59 | 92 | 102.5 | 6.2 | 0 | 0 | 14.9 | false | blank |
| RBX-004D | picker | 404.7 | false | FC-ATL-1001 | Atlanta East Hub | Atlanta | GA | USA | 2024-06-02 | afternoon | 135 | 210 | 410.9 | 7.8 | 33 | 1 | 24.5 | false | blank |
| RBX-005E | sorter | 281.1 | false | FC-DAL-1004 | Dallas Central | Dallas | TX | USA | 2024-06-01 | morning | 88 | 136 | 625 | 8.5 | 16 | 2 | 28.8 | false | blank |
| RBX-006F | transporter | 225 | false | FC-SEA-1002 | Seattle North | Seattle | WA | USA | 2024-06-02 | night | 65 | 114 | 902.6 | 7.6 | 0 | 0 | 30.1 | false | blank |
| RBX-007G | picker | 421.75 | true | FC-CHI-1003 | Chicago Midtown | Chicago | IL | USA | 2024-06-02 | morning | 145 | 243 | 332.4 | 8.2 | 51 | 3 | 25.9 | true | Required belt replacement due to frequent jams |
| RBX-008H | packer | 158.4 | false | FC-DAL-1004 | Dallas Central | Dallas | TX | USA | 2024-06-02 | afternoon | 63 | 89 | 98.3 | 7.1 | 29 | 0 | 13.5 | false | blank |
| RBX-009I | sorter | 213.9 | false | FC-MIA-1005 | Miami Coastline | Miami | FL | USA | 2024-06-01 | night | 81 | 133 | 488.9 | 7.7 | 40 | 2 | 22.2 | false | blank |
| RBX-010J | other | 129.5 | false | FC-BOS-1006 | Boston Logistics | Boston | MA | USA | 2024-06-01 | morning | 49 | 61 | 259.4 | 6 | 19 | 1 | 11.2 | false | blank |
| RBX-011K | picker | 380.6 | true | FC-BOS-1006 | Boston Logistics | Boston | MA | USA | 2024-06-02 | afternoon | 110 | 169 | 307.8 | 7.3 | 43 | 2 | 21.6 | true | Sensor calibration required, frequent false stops |
| RBX-012L | packer | 134.2 | false | FC-MIA-1005 | Miami Coastline | Miami | FL | USA | 2024-06-02 | night | 57 | 87 | 105.9 | 6.8 | 0 | 0 | 13.8 | false | blank |
| RBX-013M | sorter | 235.1 | false | FC-LAX-1007 | Los Angeles West | Los Angeles | CA | USA | 2024-06-01 | afternoon | 91 | 145 | 601.3 | 8.9 | 38 | 2 | 27.5 | false | blank |
| RBX-014N | transporter | 263.6 | false | FC-LAX-1007 | Los Angeles West | Los Angeles | CA | USA | 2024-06-02 | morning | 98 | 163 | 1397.1 | 8.1 | 7 | 0 | 34.7 | false | blank |
| RBX-015O | other | 88.7 | false | FC-NYC-1008 | New York Metro | New York | NY | USA | 2024-06-02 | night | 45 | 52 | 187.6 | 5.5 | 0 | 0 | 10.9 | false | blank |
| RBX-016P | picker | 372.4 | false | FC-NYC-1008 | New York Metro | New York | NY | USA | 2024-06-01 | morning | 109 | 182 | 275.2 | 7.2 | 18 | 1 | 23.7 | false | blank |
| RBX-017Q | sorter | 225.8 | true | FC-ATL-1001 | Atlanta East Hub | Atlanta | GA | USA | 2024-06-03 | night | 73 | 112 | 540.2 | 7.9 | 56 | 3 | 19.4 | true | Gearbox malfunction, shift interrupted |
| RBX-018R | packer | 157.8 | false | FC-SEA-1002 | Seattle North | Seattle | WA | USA | 2024-06-03 | morning | 66 | 97 | 130.3 | 6.6 | 13 | 1 | 14.3 | false | blank |
| RBX-019S | transporter | 242.9 | false | FC-CHI-1003 | Chicago Midtown | Chicago | IL | USA | 2024-06-03 | afternoon | 79 | 138 | 1100.7 | 8.6 | 22 | 1 | 29.8 | false | blank |
| RBX-020T | other | 69.4 | false | FC-DAL-1004 | Dallas Central | Dallas | TX | USA | 2024-06-03 | night | 37 | 49 | 78.5 | 5.8 | 31 | 1 | 8.9 | false | blank |
What the 78 rows show
from the 78-row samplePicker (robot type) stands out: mean automation_
- 15%maintenance_
required = true - 179.6median automation_
roi_ usd - 3shifts
- 5location countries
- 15location cities
- 15location states
Median 179.6, from 69.4 to 421.8.
- string 9
- integer 4
- float 4
- date 1
- boolean 2
Columns
20 columns in four groups| column | type | description | example |
|---|---|---|---|
| Text 9 columns | |||
robot_id | string | Unique identifier for each warehouse robotunique | RBX-001A |
robot_type | string | Type or model of the robot (e.g., picker, transporter, sorter)picker · transporter · sorter · packer · other | picker |
fulfillment_center_id | string | Unique identifier for the fulfillment center where the robot operates | FC-ATL-1001 |
fulfillment_center_name | string | Name of the fulfillment center | Atlanta East Hub |
location_city | string | City where the fulfillment center is located | Atlanta |
location_state | string | State or region where the fulfillment center is located | GA |
location_country | string | Country where the fulfillment center is located5 countries | USA |
shift | string | Shift during which the robot operated (e.g., morning, afternoon, night)morning · afternoon · night | morning |
notes | string | Additional notes or comments about the robot's performance or operational contextoptional | Required belt replacement… |
| Numbers 8 columns | |||
orders_processed | integer | Number of orders processed by the robot during the shift0 or more | 122 |
items_handled | integer | Number of individual items handled by the robot during the shift0 or more | 198 |
distance_traveled_meters | float | Total distance traveled by the robot in meters during the shift0 or more | 352.8 |
operational_hours | float | Total hours the robot was operational during the shift0 to 24 | 7.5 |
downtime_minutes | integer | Total downtime in minutes due to maintenance, charging, or errors during the shift0 or more | 24 |
error_count | integer | Number of errors or incidents encountered by the robot during the shift0 or more | 1 |
energy_consumed_kwh | float | Total energy consumed by the robot in kilowatt-hours during the shift0 or more | 22.7 |
automation_roi_usd | float | Estimated return on investment (ROI) in USD for automation attributed to this robot during the shift0 or more · optional | 388.45 |
| Dates and times 1 column | |||
operation_date | date | Date of the robot's operational record | 2024-06-01 |
| True or false 2 columns | |||
maintenance_required | boolean | Indicates if the robot required maintenance during or after the shift | false |
bottleneck_flag | boolean | Indicates if the robot was involved in a process bottleneck during the shift | false |
Use it for
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.
- Robots78RBX-001A388.45pickerRBX-007G421.75pickerRBX-011K380.6picker
A software demo
Believable robots with robot_
type, fulfillment_ center_ id and fulfillment_ center_ name to fill a screen in front of a buyer.
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.
- 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.
1 credit per row. New accounts start with 25 free credits.
- Exports
- CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
- Licence
- yours to use, including commercially
- API slug
- e-commerce-warehouse-robotics-utilization