Automation index
How much of a Revenue manager’s job can AI already do?
A pickup comes earlier. Raising the rate without emptying the hotel do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Revenue manager
27%
AI can already do 27% of this job.
#175 / 623
View rankingRevenue 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 |
|---|---|---|---|
Pickup, competitors and the rate.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Channels, overbooking and the one left on the street.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Events, the holiday and not sleeping on the price.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Report, management and the staff cut.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Sales, the group and not giving the room away.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
A high rate and a full house, not empty.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
- pickup
- rates
- channels
- overbooking
- holidays
- groups
- competitors
- rooms
Sources for this job· O*NET 11-9081.00· ESCO/ISCO 1411
IS WORK OVER?
Logistics analyst
28%
#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