Automation index
How much of a Warehouse supervisor’s job can AI already do?
A dock dashboard comes earlier. Getting the shift out without mixing the goods do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Warehouse supervisor
24%
AI can already do 24% of this job.
#270 / 623
View rankingWarehouse 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.
| Task | Share | AI | Points |
|---|---|---|---|
Docks, waves and the shift plan.EstimateNo 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.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Stock, shrink and the mystery gap.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Safety, forklifts and the near miss.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The late haulier and not mixing the docks.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Get the shift out, and not mixing the goods.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 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
IS WORK OVER?
Barista
28%
#84 / 623
View rankingBarista
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 |
|---|---|---|---|
Prepare or serve hot or cold beverages, such as coffee, espresso drinks, blended coffees, or teas.EstimateNo public source provides a precise figure. This is our estimate. | 9% | 28% | +2.5 |
Receive and process customer payments.EstimateNo public source provides a precise figure. This is our estimate. | 8% | 28% | +2.2 |
Take customer orders and convey them to other employees for preparation.EstimateNo public source provides a precise figure. This is our estimate. | 8% | 28% | +2.2 |
Describe menu items to customers, or suggest products that might appeal to them.EstimateNo public source provides a precise figure. This is our estimate. | 7% | 28% | +2 |
Serve prepared foods, such as muffins, biscotti, or bagels.EstimateNo public source provides a precise figure. This is our estimate. | 7% | 28% | +2 |
Prepare or serve menu items, such as sandwiches or salads.EstimateNo public source provides a precise figure. This is our estimate. | 7% | 28% | +2 |
Clean or sanitize work areas, utensils, or equipment.EstimateNo public source provides a precise figure. This is our estimate. | 6% | 28% | +1.7 |
Clean service or seating areas.EstimateNo public source provides a precise figure. This is our estimate. | 6% | 28% | +1.7 |
Other less frequent tasks (weight estimated from frequency).EstimateNo public source provides a precise figure. This is our estimate. | 42% | 28% | +11.8 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- comply with food safety and hygiene
- educate customers on tea varieties
- maintain relationship with customers
- greet guests
- handle customer complaints
- upsell products
- handover the service area
- set up the coffee area
- maintain customer service
- work in a hospitality team
Sources for this job· O*NET 35-3023.01· ESCO/ISCO 5132