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?
BI analyst
34%
#18 / 623
View rankingBI 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 |
|---|---|---|---|
Model data, light ETL and dashboards.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Write SQL, measures and docs.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 50% | +9 |
Define KPIs with the business and negotiate meaning.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Present insights and defend the number.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Data quality, alerts and lineage.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Prioritise requests and say no.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 20% | +2.4 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Model data, light ETL and dashboards
- Write SQL, measures and docs
- Present insights and defend the number
- Data quality, alerts and lineage
- Prioritise requests and say no
- business intelligence
- analista bi
- power bi
- looker
Sources for this job· O*NET 15-2051.00· ESCO/ISCO 2511