Warehouse Robotics Efficiency Metrics
This dataset provides granular, shift-level performance metrics for robotic devices operating in e-commerce warehouses, including operational efficiency, energy consumption, fault rates, and utilization. It enables logistics specialists to benchmark robotic assets, identify bottlenecks, and optimize fulfillment operations for improved supply chain performance.
Sample rows
preview · 8 of 75 rows · all 21 columns| warehouse_idstring | robot_typestring | average_speed_mpsfloat | robot_modelstring | warehouse_namestring | warehouse_location_citystring | warehouse_location_statestring | warehouse_location_countrystring | robot_idstring | operation_datedate | shiftstring | tasks_completedinteger | distance_traveled_metersfloat | uptime_minutesinteger | downtime_minutesinteger | fault_countinteger | energy_consumed_kwhfloat | battery_level_start_percentfloat | battery_level_end_percentfloat | operator_idstring | notesstring |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| WH-001 | picker | 1.18 | PX-500 | Metro Distribution Center | Dallas | TX | USA | RB-1001 | 2024-05-06 | morning | 128 | 1548.2 | 420 | 15 | 2 | 14.6 | 98.7 | 62.4 | OP-204 | Brief maintenance for sensor recalibration. |
| WH-002 | transporter | 1.31 | TR-120 | Eastern Fulfillment Hub | Atlanta | GA | USA | RB-1025 | 2024-05-06 | afternoon | 77 | 2104.5 | 390 | 0 | 0 | 17.1 | 100 | 74.2 | OP-138 | blank |
| WH-003 | sorter | 0.97 | ST-210 | Pacific Ecom Node | Seattle | WA | USA | RB-1050 | 2024-05-06 | night | 94 | 851.6 | 385 | 20 | 3 | 12.3 | 92.1 | 49.8 | OP-177 | Power cycle required after conveyor jam. |
| WH-004 | packer | 0.65 | PK-330 | Central Logistics Facility | Chicago | IL | USA | RB-1078 | 2024-05-06 | morning | 110 | 540.4 | 400 | 10 | 1 | 10.5 | 85.7 | 71.3 | OP-189 | Routine battery swap performed. |
| WH-005 | picker | 1.22 | PX-500 | Northern Goods Depot | Minneapolis | MN | USA | RB-1092 | 2024-05-06 | afternoon | 135 | 1610.8 | 430 | 0 | 0 | 16 | 99.9 | 65.5 | OP-204 | blank |
| WH-001 | transporter | 1.4 | TR-120 | Metro Distribution Center | Dallas | TX | USA | RB-1004 | 2024-05-06 | night | 82 | 2200 | 410 | 30 | 2 | 18.3 | 88.4 | 43.1 | OP-138 | Motor replacement required during shift. |
| WH-003 | sorter | 0.99 | ST-210 | Pacific Ecom Node | Seattle | WA | USA | RB-1052 | 2024-05-06 | morning | 96 | 890.7 | 395 | 25 | 2 | 13 | 90.6 | 55.3 | OP-177 | Conveyor belt jammed and reset. |
| WH-002 | transporter | 1.35 | TR-120 | Eastern Fulfillment Hub | Atlanta | GA | USA | RB-1028 | 2024-05-06 | morning | 72 | 2050.3 | 410 | 0 | 0 | 16.7 | 97.3 | 70.8 | OP-138 | blank |
| WH-004 | packer | 0.67 | PK-330 | Central Logistics Facility | Chicago | IL | USA | RB-1080 | 2024-05-06 | afternoon | 115 | 600.2 | 405 | 5 | 1 | 11.2 | 81.2 | 76 | OP-189 | Short charging break. |
| WH-005 | picker | 1.17 | PX-500 | Northern Goods Depot | Minneapolis | MN | USA | RB-1093 | 2024-05-06 | night | 129 | 1585.9 | 420 | 10 | 1 | 15.2 | 96.8 | 59.7 | OP-204 | Sensor recalibration. |
| WH-006 | other | 0.45 | OT-44A | Sunrise Supply Hub | Phoenix | AZ | USA | RB-1104 | 2024-05-06 | morning | 40 | 300 | 250 | 20 | 2 | 5.8 | 82.4 | 61.5 | OP-210 | Software update required. |
| WH-007 | packer | 0.69 | PK-330 | Lakeside Distribution | Cleveland | OH | USA | RB-1111 | 2024-05-06 | afternoon | 120 | 670.8 | 410 | 0 | 0 | 12 | 83.1 | 72.5 | OP-223 | blank |
| WH-008 | sorter | 0.98 | ST-210 | Mountain Commerce Center | Denver | CO | USA | RB-1138 | 2024-05-06 | night | 87 | 810.1 | 380 | 25 | 2 | 11.8 | 89.2 | 46.7 | OP-235 | Mechanical jam resolved. |
| WH-006 | other | 0.44 | OT-44A | Sunrise Supply Hub | Phoenix | AZ | USA | RB-1106 | 2024-05-06 | afternoon | 42 | 320.7 | 260 | 10 | 1 | 6.2 | 85 | 64.9 | OP-210 | Charging interruption. |
| WH-007 | packer | 0.68 | PK-330 | Lakeside Distribution | Cleveland | OH | USA | RB-1113 | 2024-05-06 | night | 123 | 689.5 | 415 | 5 | 1 | 12.7 | 80.3 | 71.1 | OP-223 | Quick maintenance check. |
| WH-008 | sorter | 1.01 | ST-210 | Mountain Commerce Center | Denver | CO | USA | RB-1140 | 2024-05-06 | morning | 90 | 835 | 390 | 10 | 1 | 12 | 91.7 | 54.9 | OP-235 | Routine battery test. |
| WH-001 | picker | 1.2 | PX-500 | Metro Distribution Center | Dallas | TX | USA | RB-1006 | 2024-05-07 | morning | 132 | 1602.1 | 425 | 10 | 1 | 15.8 | 97.7 | 60 | OP-204 | Battery connector replaced. |
| WH-002 | transporter | 1.33 | TR-120 | Eastern Fulfillment Hub | Atlanta | GA | USA | RB-1030 | 2024-05-07 | afternoon | 80 | 2158.9 | 395 | 0 | 0 | 17.4 | 98.4 | 72.6 | OP-138 | blank |
| WH-003 | sorter | 1 | ST-210 | Pacific Ecom Node | Seattle | WA | USA | RB-1054 | 2024-05-07 | night | 92 | 870.2 | 388 | 18 | 2 | 12.8 | 93.4 | 47.2 | OP-177 | Sensor realignment performed. |
| WH-004 | packer | 0.66 | PK-330 | Central Logistics Facility | Chicago | IL | USA | RB-1082 | 2024-05-07 | morning | 113 | 560.6 | 403 | 7 | 1 | 10.8 | 87.2 | 74 | OP-189 | Preventive maintenance. |
What the 75 rows show
from the 75-row sampleTransporter (robot type) stands out: mean average_
- 1.0median average_
speed_ mps - 3shifts
- 9warehouse location countries
- 17warehouse location states
- 18warehouse location cities
- 22warehouses
Median 1.0, from 0.44 to 1.4.
- string 11
- integer 4
- float 5
- date 1
Columns
21 columns in three groups| column | type | description | example |
|---|---|---|---|
| Text 11 columns | |||
warehouse_id | string | Unique identifier for the warehouse where the robotic device is operating | WH-001 |
warehouse_name | string | Human-readable name of the warehouse | Eastern Fulfillment Hub |
warehouse_location_city | string | City where the warehouse is located | Dallas |
warehouse_location_state | string | State or province where the warehouse is located | TX |
warehouse_location_country | string | Country where the warehouse is located9 countries | USA |
robot_id | string | Unique identifier for the robotic device | RB-1001 |
robot_model | string | Model name or number of the robotic device | PX-500 |
robot_type | string | Type of robotic device (e.g., picker, sorter, transporter)picker · sorter · transporter · packer · other | picker |
shift | string | Shift during which the metrics were recorded (e.g., morning, afternoon, night)morning · afternoon · night | morning |
operator_id | string | Identifier for the human operator or supervisor responsible for the robot during the shiftoptional | OP-204 |
notes | string | Additional notes or comments about the robot's performance or issues during the shiftoptional | Short charging break. |
| Numbers 9 columns | |||
tasks_completed | integer | Number of tasks completed by the robot during the shift0 or more | 128 |
distance_traveled_meters | float | Total distance traveled by the robot in meters during the shift0 or more | 1548.2 |
average_speed_mps | float | Average speed of the robot in meters per second during the shift0 or more · optional | 1.18 |
uptime_minutes | integer | Total minutes the robot was operational during the shift0 or more | 420 |
downtime_minutes | integer | Total minutes the robot was non-operational due to maintenance, charging, or faults0 or more | 15 |
fault_count | integer | Number of faults or errors encountered by the robot during the shift0 or more | 2 |
energy_consumed_kwh | float | Total energy consumed by the robot in kilowatt-hours during the shift0 or more · optional | 14.6 |
battery_level_start_percent | float | Battery level percentage at the start of the shift0 to 100 · optional | 98.7 |
battery_level_end_percent | float | Battery level percentage at the end of the shift0 to 100 · optional | 62.4 |
| Dates and times 1 column | |||
operation_date | date | Date when the performance metrics were recorded | 2024-05-06 |
Use it for
A logistics dashboard
Average_
speed_ mps by robot_ type and a breakdown of robot_ model. Excel, Power BI or Tableau. Why do the 14 transporter rows have a mean average_
speed_ mps of 1.3? A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
- Warehouses75WH-0011.18pickerWH-0021.31transpor…WH-0030.97sorter
A software demo
Believable warehouses with warehouse_
name, warehouse_ location_ city and warehouse_ location_ state to fill a screen in front of a buyer.
This dataset75 rows21 columns
Yours1,000 rows21 columnswarehouse_location_city: UK only
blueprint · warehouse-robotics-efficiency-metrics
Behind this dataset
Same schema. As many rows as you need.
These 75 rows came out of a blueprint — 21 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 a unique robot and shift
- Metrics tracked include error rate, uptime, orders fulfilled, and maintenance incidents
- Robots are assigned to specific warehouse zones and task types
- Performance anomalies must be flagged if error rate exceeds 5% per shift
- Breakdown events require timestamp and duration logging
- Maintenance logs must include technician ID and resolution status
Open the blueprint in Data Factory
1 credit per row. Preview 20 rows free. Buy rows for the full run.
- Exports
- CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
- Licence
- yours to use, including commercially
- API slug
- warehouse-robotics-efficiency-metrics