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 / 703
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?
Instructional designer
27%
#158 / 703
View rankingInstructional designer
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 |
|---|---|---|---|
Aim, the storyboard and the module.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Pilot, the learner and what is not understood.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Activity, the feedback and not putting a silly test.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
LMS, the figure and not inflating completion.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The client, the deadline and not cutting the practice.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That they learn, and not leaving the empty video.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
- course storyboard
- modules
- learner pilot
- activities
- LMS
- completion
- feedback
- not a silly test
Sources for this job· O*NET 25-9031.00· ESCO/ISCO 2351