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

Family therapist

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
Genogram, the brief and the frame.
Estimate

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

16%40%+6.4
Session, the one who speaks for all and the one who stays quiet.
Estimate

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

18%14%+2.5
Conflict, the boundary and not taking sides.
Estimate

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

16%28%+4.5
The child, the loyalty and not using them as messenger.
Estimate

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

16%22%+3.5
The referral, the risk and calling it in time.
Estimate

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

18%18%+3.2
That they stay, and not taking sides.
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

  • genogram
  • family frame
  • joint sessions
  • loyalties
  • not take sides
  • child-risk
  • refer
  • boundaries

Sources for this job· O*NET 21-1013.00· ESCO/ISCO 2635

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