Automation index

How much of a Foreign-trade technician’s job can AI already do?

An Incoterm comes earlier. The order crossing the border without sticking on the entry do not.

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

Task comparison

IS WORK OVER?

28%

AI can already do 28% of this job.

#121 / 623

Foreign-trade technician

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.

Task	Share	AI	Points
Incoterms, origin and the entry. Estimate No public source provides a precise figure. This is our estimate.	18%	52%	+9.4
Licences, certificates and the missing one. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
The client, the bank and the letter of credit. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Duty, VAT and the customs value. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The forwarder, the delay and not promising the date. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That it crosses, and not sticking on the entry. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		28%

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

IS WORK OVER?

26%

#211 / 623

Last-mile manager

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.

Task	Share	AI	Points
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
Total	100%		26%

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