IS WORK OVER?

Automation index

How much of a Demand planner’s job can AI already do?

A forecast comes earlier. Neither an empty shelf nor a drowned warehouse do not.

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

Task comparison

Demand planner

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
Forecast, promotions and bias.
Estimate

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

18%52%+9.4
Safety stock, lead time and the order.
Estimate

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

16%40%+6.4
Sales, the spike and the promo nobody flagged.
Estimate

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

16%22%+3.5
S&OP, consensus and the fight over numbers.
Estimate

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

16%28%+4.5
The supplier who fails and not covering with air.
Estimate

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

18%14%+2.5
Neither empty nor drowned, and not inflating the forecast.
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

  • demand forecast
  • safety stock
  • lead time
  • S&OP
  • promotions
  • forecast bias
  • supplier orders
  • empty shelf

Sources for this job· O*NET 13-1081.00· ESCO/ISCO 2421

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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