Automation index
How much of a Shelf replenisher’s job can AI already do?
A wave comes earlier. Filling the shelf without blocking the aisle do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Shelf replenisher
21%
AI can already do 21% of this job.
#435 / 633
View rankingShelf replenisher
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 |
|---|---|---|---|
Wave, location and the cage.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Shelf, date and the one at the back.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 10% | +2.2 |
Aisle, the customer and not blocking.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Out of stock, calling it and the gap.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The peak, overtime and not mixing batches.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Shelf full, and aisle clear.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 21% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- waves
- the shelf
- dates
- aisles
- stock-outs
- cages
- batches
- gaps
Sources for this job· O*NET 43-5081.00· ESCO/ISCO 9334
IS WORK OVER?
BI analyst
34%
#18 / 633
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