Automation index
How much of a Tailor’s job can AI already do?
A pattern comes earlier. Fitting, marking and hanging on the body do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Tailor
19%
AI can already do 19% of this job.
#542 / 643
View rankingTailor
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 |
|---|---|---|---|
Pattern, measures and the fitting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Cut, tack and the shoulder that will not hang.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Fit, mark and the client who loses weight.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Buttonholes, lining and the hand finish.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The groom, the deadline and not rushing the hem.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Hang on the body, and not leaving a high shoulder.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- take measures
- patterns
- tack
- buttonholes
- tailor fittings
- linings
- hem
- shoulder
Sources for this job· O*NET 51-6052.00· ESCO/ISCO 7531
IS WORK OVER?
Last-mile manager
26%
#216 / 643
View rankingLast-mile 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 |
|---|---|---|---|
Zones, capacity and route cuts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
KPIs, first attempt and incidents.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The courier, the lobby and the one who will not open.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Peaks, rain and hiring too many or too few.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The angry customer and not dressing delivered.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Cover the peak, and not leaving the neighbourhood orphaned.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
- delivery zones
- first attempt
- delivery KPIs
- last-mile peaks
- lobbies
- delivery incidents
- courier capacity
- cut routes
Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324