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

Route 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
Optimise, windows and capacity.
Estimate

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

18%52%+9.4
Restrictions, tolls and the right vehicle.
Estimate

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

16%40%+6.4
The salesperson who promises and the plan that will not.
Estimate

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

16%22%+3.5
Recalc, incidents and the next day.
Estimate

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

16%28%+4.5
The warehouse, the cut-off and not leaving the last one.
Estimate

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

18%14%+2.5
That it fits, and not blowing the hours.
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

  • optimise routes
  • delivery windows
  • tolls
  • vehicle capacity
  • recalc
  • traffic restrictions
  • warehouse cut-off
  • driving hours

Sources for this job· O*NET 13-1081.00· ESCO/ISCO 4323

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