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

Requirements engineer

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
Workshop, the actor and the requirement.
Estimate

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

18%48%+8.6
Conflict, the loudest and not swallowing it.
Estimate

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

16%40%+6.4
Criterion, the test and not leaving it vague.
Estimate

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

16%22%+3.5
Change, the impact and not hiding it.
Estimate

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

16%28%+4.5
The project lead, the deadline and not cutting the one that matters.
Estimate

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

18%14%+2.5
That it is needed, and not the loudest one's.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • requirements
  • actor workshops
  • acceptance criteria
  • change impact
  • backlog
  • tests
  • not swallow the loudest
  • ambiguity

Sources for this job· O*NET 15-1299.00· ESCO/ISCO 2511

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