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

Oceanographer

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
Model, buoys and the cruise.
Estimate

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

16%40%+6.4
Sea, sampling and the one who misses the cast.
Estimate

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

18%14%+2.5
Data, the gap and not interpolating extra.
Estimate

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

16%28%+4.5
Report, the coast and the one who will not hear.
Estimate

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

16%22%+3.5
The storm, the ship and aborting.
Estimate

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

18%18%+3.2
Read the water, and not trusting the model alone.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • current models
  • buoys
  • ocean cruises
  • sampling
  • interpolation
  • the coast
  • the storm
  • casts

Sources for this job· O*NET 19-2042.00· ESCO/ISCO 2114

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