Automation index
How much of a Logistics analyst’s job can AI already do?
A cost dashboard comes earlier. Finding the saving without breaking the network do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Logistics analyst
28%
AI can already do 28% of this job.
#79 / 623
View rankingLogistics analyst
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 |
|---|---|---|---|
Costs, OTIF and the dashboard.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Simulate network, warehouses and the what-if.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Ops, dirty data and going down to the dock.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Report, the board and the cut that hurts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The haulier, the contract and not breaking the service.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
A real saving, and not dressing OTIF.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
- logistics costs
- OTIF
- simulate network
- what-if
- dirty data
- haulage contracts
- dashboards
- network cuts
Sources for this job· O*NET 13-1081.00· ESCO/ISCO 2421
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