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
IS WORK OVER?
Kitchen porter
17%
AI can already do 17% of this job.
#596 / 643
View rankingKitchen 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.
| Task | Share | AI | Points |
|---|---|---|---|
Orders, mise en place and labelling.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Peel, cut, wash and restock.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 10% | +2.4 |
Service, passes and not getting in the way.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
Hygiene, HACCP and waste.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Shifts, stoves and heat.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 22% | +3.1 |
Not cutting yourself or leaving a pot unwashed.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 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
IS WORK OVER?
Last-mile manager
26%
#216 / 643
View rankingLast-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.
| Task | Share | AI | Points |
|---|---|---|---|
Zones, capacity and route cuts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
KPIs, first attempt and incidents.EstimateNo 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.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Peaks, rain and hiring too many or too few.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The angry customer and not dressing delivered.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Cover the peak, and not leaving the neighbourhood orphaned.EstimateNo 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
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