Automation index
How much of a Inventory clerk’s job can AI already do?
A cycle count comes earlier. Matching what is there to what the system says do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Inventory clerk
28%
AI can already do 28% of this job.
#105 / 623
View rankingInventory clerk
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Count, locations and the adjustment.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Floor, the gap and what is in the aisle.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Report, shrink and the reason.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Audit, the auditor and not dressing it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The peak, the blind count and the stopped warehouse.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Match for real, and not adjusting blind.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- cycle count
- adjust stock
- locations
- shrink
- blind count
- stock audit
- gaps
- variance reasons
Sources for this job· O*NET 43-5081.00· ESCO/ISCO 4321
IS WORK OVER?
Logistics analyst
28%
#79 / 623
View rankingLogistics analyst
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Costs, OTIF and the dashboard.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Simulate network, warehouses and the what-if.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Ops, dirty data and going down to the dock.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Report, the board and the cut that hurts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The haulier, the contract and not breaking the service.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
A real saving, and not dressing OTIF.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- logistics costs
- OTIF
- simulate network
- what-if
- dirty data
- haulage contracts
- dashboards
- network cuts
Sources for this job· O*NET 13-1081.00· ESCO/ISCO 2421