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

Station master

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
Graph, orders and the station log.
Estimate

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

16%40%+6.4
Platforms, the crossing and the late train.
Estimate

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

18%14%+2.5
Staff, shifts and the ticket-office gap.
Estimate

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

16%32%+5.1
Incident, passengers and the PA.
Estimate

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

16%22%+3.5
Works, closures and leaving nobody on the platform.
Estimate

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

18%18%+3.2
That they do not meet, and signing the graph.
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

  • train graph
  • orders
  • platforms
  • ticket office
  • PA
  • line crossings
  • station shifts
  • station logs

Sources for this job· O*NET 53-4031.00· ESCO/ISCO 4323

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