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

Development cooperation officer

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
Agreements, alignment and the SDGs on the card.
Estimate

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

16%48%+7.7
Follow-up, missions and reports to the agency.
Estimate

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

16%36%+5.8
The local partner, the counterpart and the disagreement.
Estimate

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

18%16%+2.9
Budget, currency and what stays in management.
Estimate

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

16%28%+4.5
The context that shifts and reworking the approach.
Estimate

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

18%18%+3.2
Not imposing, and accounting on both sides.
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

  • cooperation agreements
  • align with SDGs
  • agency reports
  • southern partners
  • monitoring missions
  • hard-currency budget
  • counterparts
  • accountability

Sources for this job· O*NET 19-3094.00· ESCO/ISCO 2635

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