Automation index
How much of a Ship agent’s job can AI already do?
An ETA comes earlier. Clearing the ship without extra demurrage do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Ship agent
26%
AI can already do 26% of this job.
#195 / 633
View rankingShip agent
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 |
|---|---|---|---|
ETA, berth and port services.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
Clearance, crew and the crew change.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The master, the terminal and the window clash.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Invoices, disbursements and the owner’s account.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The inspection, the delay and not losing the slot.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
No extra demurrage, and the ship cleared.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
- ETAs
- berths
- ship clearance
- crew changes
- disbursements
- terminal windows
- owner’s accounts
- port inspections
Sources for this job· O*NET 43-5011.00· ESCO/ISCO 3331
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