IS WORK OVER?

Automation index

How much of a Last-mile manager’s job can AI already do?

A zone map comes earlier. Hitting the peak without leaving the neighbourhood without a courier do not.

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

Task comparison

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

Cobbler

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
Diagnose, sole and the quote.
Estimate

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

16%32%+5.1
Stitch, stick and the heel that goes.
Estimate

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

22%8%+1.8
Last, the fit and the one that pinches.
Estimate

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

16%22%+3.5
Colour, cream and the pair that does not match.
Estimate

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

16%28%+4.5
The client, the dance and not cutting the vamp.
Estimate

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

16%18%+2.9
That it does not come off, and not leaving a lame heel.
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

  • stitch soles
  • stick heels
  • lasts
  • creams
  • vamp
  • shoe fit
  • pairs
  • cobbler quotes

Sources for this job· O*NET 51-6041.00· ESCO/ISCO 7536

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