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?

24%

AI can already do 24% of this job.

#270 / 633

Warehouse supervisor

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. 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
Total	100%		24%

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

IS WORK OVER?

19%

#502 / 633

Window installer

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
Measure openings, subframe and the order. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Set, plumb and the missing packer. Estimate No public source provides a precise figure. This is our estimate.	22%	8%	+1.8
Foam, seal and the sweating lintel. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Fittings, adjust and the sash that rubs. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The lived-in house and not leaving the room freezing. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
That it closes, and not trapping the lintel. Estimate No public source provides a precise figure. This is our estimate.	14%	12%	+1.7
Total	100%		19%

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