IS WORK OVER?

Automation index

How much of a Stevedore’s job can AI already do?

A stow plan comes earlier. Moving a container and not killing anyone does not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Stevedore

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
Stow plans, shifts and logs.
Estimate

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

16%28%+4.5
Hook, guide and lash cargo.
Estimate

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

24%8%+1.9
Quay, cranes and danger zones.
Estimate

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

16%12%+1.9
Team, radio and foreman.
Estimate

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

16%18%+2.9
Dangerous goods and checks.
Estimate

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

14%22%+3.1
Not leaving a container badly lashed.
Estimate

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

14%14%+2
Total100%16%

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

Skills and activities

  • Stow plans, shifts and logs
  • Hook, guide and lash cargo
  • Quay, cranes and danger zones
  • Team, radio and foreman
  • Dangerous goods and checks
  • Not leaving a container badly lashed
  • estibador
  • estiba
  • stevedore

Sources for this job· O*NET 53-7062.00· ESCO/ISCO 9333

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

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