IS WORK OVER?

Automation index

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

A pricked drawing comes earlier. Thread that tells without pulling the cloth do not.

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

Task comparison

Embroiderer

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
Drawing, hoop and thread colour.
Estimate

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

16%32%+5.1
Stitch, raised work and the one that tangles.
Estimate

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

22%8%+1.8
Machine, program and the one that eats the cloth.
Estimate

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

16%22%+3.5
Finish, the back and not leaving knots.
Estimate

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

16%28%+4.5
The garment, the deadline and not changing the drawing halfway.
Estimate

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

16%18%+2.9
That the thread tells, and not pulling the cloth.
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

  • hoop
  • raised work
  • stitches
  • threads
  • the back
  • machine programs
  • pricked drawings
  • knots

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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