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?

22%

AI can already do 22% of this job.

#345 / 633

Banquet manager

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. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Set-up, staff and the one who is late. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Service, the toast and the one without a plate. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Kitchen, the pass and not working too far ahead. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
The groom, the change and not mixing allergies. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
The service goes out, and the plate hot. Estimate No 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

IS WORK OVER?

26%

#211 / 633

Last-mile manager

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. Estimate No public source provides a precise figure. This is our estimate.	16%	44%	+7
KPIs, first attempt and incidents. Estimate No 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. Estimate No public source provides a precise figure. This is our estimate.	18%	16%	+2.9
Peaks, rain and hiring too many or too few. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The angry customer and not dressing delivered. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Cover the peak, and not leaving the neighbourhood orphaned. Estimate No 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