IS WORK OVER?

Automation index

How much of a Kitchen porter’s job can AI already do?

An order and a mise come earlier. Service, and not slowing the brigade, do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Kitchen porter

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
Orders, mise en place and labelling.
Estimate

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

16%28%+4.5
Peel, cut, wash and restock.
Estimate

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

24%10%+2.4
Service, passes and not getting in the way.
Estimate

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

16%12%+1.9
Hygiene, HACCP and waste.
Estimate

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

16%18%+2.9
Shifts, stoves and heat.
Estimate

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

14%22%+3.1
Not cutting yourself or leaving a pot unwashed.
Estimate

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

14%14%+2
Total100%17%

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

Skills and activities

  • cook
  • mise en place
  • dishes
  • bake
  • Orders, mise en place and labelling
  • Peel, cut, wash and restock
  • Service, passes and not getting in the way
  • Hygiene, HACCP and waste
  • Shifts, stoves and heat
  • ayudante de cocina

Sources for this job· O*NET 35-2021.00· ESCO/ISCO 9412

Last-mile 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
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
Total100%26%

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

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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