IS WORK OVER?

Automation index

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

A cost dashboard comes earlier. Finding the saving without breaking the network do not.

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

Task comparison

Logistics analyst

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
Costs, OTIF and the dashboard.
Estimate

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

18%52%+9.4
Simulate network, warehouses and the what-if.
Estimate

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

16%40%+6.4
Ops, dirty data and going down to the dock.
Estimate

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

16%22%+3.5
Report, the board and the cut that hurts.
Estimate

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

16%28%+4.5
The haulier, the contract and not breaking the service.
Estimate

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

18%14%+2.5
A real saving, and not dressing OTIF.
Estimate

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

16%12%+1.9
Total100%28%

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

Skills and activities

  • logistics costs
  • OTIF
  • simulate network
  • what-if
  • dirty data
  • haulage contracts
  • dashboards
  • network cuts

Sources for this job· O*NET 13-1081.00· ESCO/ISCO 2421

Cabin 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
Briefing, door assignment and the log.
Estimate

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

16%36%+5.8
Cabin, the difficult passenger and turbulence.
Estimate

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

22%8%+1.8
Service, allergies and the one who is ill.
Estimate

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

16%22%+3.5
Safety, the demo and the kit.
Estimate

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

16%28%+4.5
Delay, overbooking and the one who will not sit.
Estimate

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

16%18%+2.9
Evacuate for real, and sign the cabin.
Estimate

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

14%12%+1.7
Total100%20%

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

Skills and activities

  • cabin briefing
  • assign doors
  • difficult passenger
  • safety demo
  • onboard allergies
  • overbooking
  • evacuate
  • turbulence

Sources for this job· O*NET 53-2031.00· ESCO/ISCO 5111

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