IS WORK OVER?

Automation index

How much of a Section supervisor’s job can AI already do?

A section planogram comes earlier. The shelf being there and the shift running do not.

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

Task comparison

Section 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
Section, planogram and the order.
Estimate

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

16%40%+6.4
Shift, the gap and the one who is late.
Estimate

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

18%14%+2.5
Customer, the complaint and the one who cannot find it.
Estimate

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

16%28%+4.5
Shrink, dates and not hiding them.
Estimate

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

16%22%+3.5
The store manager, the peak and not leaving the shelf empty.
Estimate

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

18%18%+3.2
The shelf, and the shift standing.
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

  • section
  • planogram
  • shrink
  • dates
  • store shifts
  • complaints
  • section orders
  • gaps

Sources for this job· O*NET 41-1011.00· ESCO/ISCO 5222

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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