IS WORK OVER?

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

Tailor

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.

TaskShareAIPoints
Pattern, measures and the fitting.
Estimate

No public source provides a precise figure. This is our estimate.

16%32%+5.1
Cut, tack and the shoulder that will not hang.
Estimate

No public source provides a precise figure. This is our estimate.

22%8%+1.8
Fit, mark and the client who loses weight.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Buttonholes, lining and the hand finish.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The groom, the deadline and not rushing the hem.
Estimate

No public source provides a precise figure. This is our estimate.

16%18%+2.9
Hang on the body, and not leaving a high shoulder.
Estimate

No public source provides a precise figure. This is our estimate.

14%12%+1.7
Total100%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

Last-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.

TaskShareAIPoints
Zones, capacity and route cuts.
Estimate

No public source provides a precise figure. This is our estimate.

16%44%+7
KPIs, first attempt and incidents.
Estimate

No 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.
Estimate

No public source provides a precise figure. This is our estimate.

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

No public source provides a precise figure. This is our estimate.

16%14%+2.2
Total100%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

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