IS WORK OVER?

Automation index

How much of a Dyer’s job can AI already do?

A bath recipe comes earlier. The colour as ordered without bleeding do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Dyer

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
Recipe, bath and the sample.
Estimate

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

16%40%+6.4
Dye, stir and the one that takes uneven.
Estimate

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

18%14%+2.5
Rinse, fix and the fastness.
Estimate

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

16%28%+4.5
Job, the garment and the fibre they did not mention.
Estimate

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

16%22%+3.5
The client, the black and not bleeding on the shirt.
Estimate

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

18%18%+3.2
The colour as ordered, and not bleeding.
Estimate

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

16%12%+1.9
Total100%22%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • bath recipes
  • dye garments
  • fastness
  • fix colour
  • samples
  • fibres
  • rinse
  • bleeding

Sources for this job· O*NET 51-6051.00· ESCO/ISCO 7533

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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