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
IS WORK OVER?
Export salesperson
27%
AI can already do 27% of this job.
#142 / 633
View rankingExport 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.
| Task | Share | AI | Points |
|---|---|---|---|
Book, trade fair and the lead.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Quote, Incoterm and the one who wants cheap CIF.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Order, credit and the one who does not pay.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Customs, the delay and not promising the date.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The agent, the territory and not stepping on each other.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Close it, and that it crosses.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 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
IS WORK OVER?
Last-mile manager
26%
#211 / 633
View rankingLast-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.
| Task | Share | AI | Points |
|---|---|---|---|
Zones, capacity and route cuts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
KPIs, first attempt and incidents.EstimateNo 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.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Peaks, rain and hiring too many or too few.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The angry customer and not dressing delivered.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Cover the peak, and not leaving the neighbourhood orphaned.EstimateNo 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
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