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?
Prompt engineer
34%
#21 / 623
View rankingPrompt engineer
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 |
|---|---|---|---|
Design prompts, tools and chains.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Evals, datasets and regressions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Integrate with product and safety limits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to the business about a good output.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Watch hallucinations, bias and cost.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 20% | +2.8 |
Decide what the model gets, and what it does not.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 16% | +1.9 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design prompts, tools and chains
- Evals, datasets and regressions
- Integrate with product and safety limits
- Talk to the business about a good output
- Watch hallucinations, bias and cost
- prompt engineer
- ingeniero de prompts
- llm engineer
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512