Automation index
How much of a Parts clerk’s job can AI already do?
An OEM code comes earlier. Giving the part that fits, not the lookalike, do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Parts clerk
28%
AI can already do 28% of this job.
#114 / 623
View rankingParts 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 |
|---|---|---|---|
Catalogue, equivalents and the code.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Counter, the waiting shop and the doubt.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Stock, urgent orders and the one that is late.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Returns, warranties and the wrong part.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The mechanic, the blurry photo and not selling blind.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
The one that fits, not the lookalike.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
- parts catalogue
- OEM equivalents
- shop counter
- urgent orders
- returns
- part warranties
- parts stock
- part codes
Sources for this job· O*NET 41-2022.00· ESCO/ISCO 4321
IS WORK OVER?
Growth manager
31%
#35 / 623
View rankingGrowth manager
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 |
|---|---|---|---|
Analytics, funnels and growth dashboards.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 52% | +11.4 |
Copy, creatives and test variants.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Design experiments and read causality.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Align product, marketing and sales.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 15% | +2.4 |
Ads budget and internal negotiation.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 18% | +2.5 |
Decide what dies and what scales.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 16% | +2.2 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Analytics, funnels and growth dashboards
- Copy, creatives and test variants
- Design experiments and read causality
- Align product, marketing and sales
- Ads budget and internal negotiation
- Decide what dies and what scales
- growth manager
- growth hacker
- responsable de growth
Sources for this job· O*NET 13-1161.00· ESCO/ISCO 2431