IS WORK OVER?

Automation index

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

A GPS and a route come earlier. Covering the job when the truck stops do not.

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

Task comparison

Fleet dispatcher

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
Routes, GPS and the day’s plan.
Estimate

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

18%52%+9.4
The stopped truck, the client and reassigning.
Estimate

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

16%22%+3.5
Times, tachograph and not burning the hours.
Estimate

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

16%36%+5.8
Incidents, warehouse and the delivery that is not there.
Estimate

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

16%28%+4.5
The driver, the shortcut and not lying to the client.
Estimate

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

18%14%+2.5
Cover the job, and not leaving the route half done.
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

  • dispatch the fleet
  • truck GPS
  • tachograph
  • reassign routes
  • driving hours
  • delivery incidents
  • day plan
  • stopped truck

Sources for this job· O*NET 43-5032.00· ESCO/ISCO 4323

Warehouse supervisor

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
Docks, waves and the shift plan.
Estimate

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

16%40%+6.4
The team, the peak and the one who cannot keep up.
Estimate

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

18%14%+2.5
Stock, shrink and the mystery gap.
Estimate

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

16%32%+5.1
Safety, forklifts and the near miss.
Estimate

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

16%28%+4.5
The late haulier and not mixing the docks.
Estimate

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

18%18%+3.2
Get the shift out, and not mixing the goods.
Estimate

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

16%14%+2.2
Total100%24%

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

Skills and activities

  • plan docks
  • waves
  • warehouse shift
  • shrink
  • forklifts
  • near misses
  • outbound peaks
  • mixed goods

Sources for this job· O*NET 53-1048.00· ESCO/ISCO 1324

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