IS WORK OVER?

Automation index

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

An Incoterm comes earlier. Closing the order so it actually crosses do not.

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

Task comparison

Export salesperson

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
Book, trade fair and the lead.
Estimate

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

18%48%+8.6
Quote, Incoterm and the one who wants cheap CIF.
Estimate

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

16%40%+6.4
Order, credit and the one who does not pay.
Estimate

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

16%22%+3.5
Customs, the delay and not promising the date.
Estimate

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

16%28%+4.5
The agent, the territory and not stepping on each other.
Estimate

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

18%14%+2.5
Close it, and that it crosses.
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

  • trade fairs
  • Incoterms
  • export book
  • export credit
  • agents
  • territories
  • CIF
  • export orders

Sources for this job· O*NET 41-4012.00· ESCO/ISCO 2434

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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