IS WORK OVER?

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

Banquet 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.

TaskShareAIPoints
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
Total100%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

Warehouse supervisor

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.

TaskShareAIPoints
Docks, waves and the shift plan.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
The team, the peak and the one who cannot keep up.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
Stock, shrink and the mystery gap.
Estimate

No public source provides a precise figure. This is our estimate.

16%32%+5.1
Safety, forklifts and the near miss.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The late haulier and not mixing the docks.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
Get the shift out, and not mixing the goods.
Estimate

No public source provides a precise figure. This is our estimate.

16%14%+2.2
Total100%24%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • plan docks
  • waves
  • warehouse shift
  • shrink
  • forklifts
  • near misses
  • outbound peaks
  • mixed goods

Sources for this job· O*NET 53-1048.00· ESCO/ISCO 1324

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