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 / 633
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?
Statistician
26%
#201 / 633
View rankingStatistician
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 |
|---|---|---|---|
Model, clean and visualise.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 48% | +9.6 |
Design sample, experiment and biases.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Client, questions and not overfitting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Reproducibility, code and documentation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Publication, review and data ethics.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not selling a p-value that does not hold.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Model, clean and visualise
- Design sample, experiment and biases
- Client, questions and not overfitting
- Reproducibility, code and documentation
- Publication, review and data ethics
- Not selling a p-value that does not hold
- estadistico
- statistician
Sources for this job· O*NET 15-2041.00· ESCO/ISCO 2120