IS WORK OVER?

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

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

Blood bank technician

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
Group, screen and the bag crossmatch.
Estimate

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

18%52%+9.4
Fractionate, label and traceability.
Estimate

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

16%40%+6.4
The emergency, the massive and the ID error.
Estimate

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

18%14%+2.5
Donation, apheresis and the donor who feels unwell.
Estimate

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

16%28%+4.5
Stock, expiry and what theatre asks for.
Estimate

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

16%22%+3.5
The right bag and owning the blood group.
Estimate

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

16%12%+1.9
Total100%28%

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

Skills and activities

  • crossmatch blood
  • blood group
  • fractionate products
  • donor apheresis
  • bag traceability
  • massive transfusion
  • label units
  • blood bank

Sources for this job· O*NET 29-2011.00· ESCO/ISCO 3212

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