Automation index
How much of a Banquet manager’s job can AI already do?
A menu and a table plan come earlier. The service going out without the plate going cold do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Banquet manager
22%
AI can already do 22% of this job.
#345 / 633
View rankingBanquet 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 |
|---|---|---|---|
Menu, plan and the timing.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Set-up, staff and the one who is late.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Service, the toast and the one without a plate.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Kitchen, the pass and not working too far ahead.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The groom, the change and not mixing allergies.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
The service goes out, and the plate hot.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- table plans
- banquet timing
- set-up
- toast
- kitchen pass
- allergies
- floor staff
- menus
Sources for this job· O*NET 35-1012.00· ESCO/ISCO 1412
IS WORK OVER?
Route planner
28%
#112 / 633
View rankingRoute planner
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 |
|---|---|---|---|
Optimise, windows and capacity.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Restrictions, tolls and the right vehicle.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The salesperson who promises and the plan that will not.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Recalc, incidents and the next day.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The warehouse, the cut-off and not leaving the last one.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it fits, and not blowing the hours.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
- optimise routes
- delivery windows
- tolls
- vehicle capacity
- recalc
- traffic restrictions
- warehouse cut-off
- driving hours
Sources for this job· O*NET 13-1081.00· ESCO/ISCO 4323