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

Forklift operator

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
Notes, locations and picking routes.
Estimate

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

16%32%+5.1
Drive, lift and stack.
Estimate

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

24%8%+1.9
Loads, centres of gravity and aisles.
Estimate

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

16%12%+1.9
Shift, radio and dock.
Estimate

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

16%18%+2.9
Logs, incidents and counts.
Estimate

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

14%22%+3.1
Not hitting anyone or a pallet.
Estimate

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

14%14%+2
Total100%17%

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

Skills and activities

  • Notes, locations and picking routes
  • Drive, lift and stack
  • Loads, centres of gravity and aisles
  • Shift, radio and dock
  • Logs, incidents and counts
  • Not hitting anyone or a pallet
  • carretillero
  • carretilla
  • forklift

Sources for this job· O*NET 53-7051.00· ESCO/ISCO 8344

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