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

Forest ranger

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
Logs, GIS and penalty files.
Estimate

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

16%32%+5.1
Patrol, poaching and fires.
Estimate

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

22%10%+2.2
Neighbours, shepherds and councils.
Estimate

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

16%18%+2.9
Sampling, paths and signage.
Estimate

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

16%22%+3.5
Duties, weather and terrain.
Estimate

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

16%14%+2.2
Not arriving late to a column of smoke.
Estimate

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

14%14%+2
Total100%18%

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

Skills and activities

  • Logs, GIS and penalty files
  • Patrol, poaching and fires
  • Neighbours, shepherds and councils
  • Sampling, paths and signage
  • Duties, weather and terrain
  • Not arriving late to a column of smoke
  • agente forestal
  • agente medioambiental
  • forest ranger

Sources for this job· O*NET 33-3031.00· ESCO/ISCO 5419

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