IS WORK OVER?

Automation index

How much of a Shelf replenisher’s job can AI already do?

A wave comes earlier. Filling the shelf without blocking the aisle do not.

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

Task comparison

Shelf replenisher

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
Wave, location and the cage.
Estimate

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

16%36%+5.8
Shelf, date and the one at the back.
Estimate

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

22%10%+2.2
Aisle, the customer and not blocking.
Estimate

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

16%22%+3.5
Out of stock, calling it and the gap.
Estimate

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

16%28%+4.5
The peak, overtime and not mixing batches.
Estimate

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

16%18%+2.9
Shelf full, and aisle clear.
Estimate

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

14%12%+1.7
Total100%21%

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

Skills and activities

  • waves
  • the shelf
  • dates
  • aisles
  • stock-outs
  • cages
  • batches
  • gaps

Sources for this job· O*NET 43-5081.00· ESCO/ISCO 9334

Home-automation installer

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
Diagram, buses and scene programming.
Estimate

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

16%40%+6.4
Wire, sensors and the switch that does not answer.
Estimate

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

18%14%+2.5
Integrate lights, climate and the client app.
Estimate

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

16%32%+5.1
Train, guest mode and the one who breaks it.
Estimate

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

16%22%+3.5
The lived-in house and not leaving it dark.
Estimate

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

18%18%+3.2
That it obeys, and not needing the cloud for a switch.
Estimate

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

16%12%+1.9
Total100%23%

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

Skills and activities

  • program scenes
  • home buses
  • integrate climate
  • sensors
  • home app
  • switches
  • guest mode
  • wire KNX

Sources for this job· O*NET 47-2111.00· ESCO/ISCO 7411

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