Automation index
How much of a Freight forwarder’s job can AI already do?
A booking comes earlier. The box leaving and not sticking in customs do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Freight forwarder
28%
AI can already do 28% of this job.
#124 / 623
View rankingFreight forwarder
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 |
|---|---|---|---|
Booking, freight and the B/L.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Customs, HS and the entry.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The client, the delay and the ship that will not wait.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Insurance, incidents and the claim.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The consolidator, the slot and not overbooking.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it leaves, and not sticking in customs.EstimateNo 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
Skills and activities
- bookings
- bills of lading
- customs entry
- HS codes
- freight
- cargo insurance
- consolidate
- transit incidents
Sources for this job· O*NET 43-5011.00· ESCO/ISCO 3331
IS WORK OVER?
Last-mile manager
26%
#211 / 623
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