IS WORK OVER?

Automation index

How much of a Sales promoter’s job can AI already do?

A promo briefing comes earlier. Stopping the customer without lying about the product do not.

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

Task comparison

Sales promoter

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
Briefing, stand and the kit.
Estimate

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

16%40%+6.4
Shelf, the one who walks by and the one who stops.
Estimate

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

18%14%+2.5
Tasting, allergies and not pushing.
Estimate

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

16%28%+4.5
Data, contacts and not inflating.
Estimate

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

16%22%+3.5
The supervisor, the space and not covering the shelf.
Estimate

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

18%18%+3.2
Stop the customer, and not lying.
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

  • stands
  • tasting
  • promo briefing
  • contacts
  • allergies
  • the shelf
  • promo kit
  • store supervisor

Sources for this job· O*NET 41-9011.00· ESCO/ISCO 5242

Last-mile manager

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
Zones, capacity and route cuts.
Estimate

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

16%44%+7
KPIs, first attempt and incidents.
Estimate

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

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

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

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

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

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

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

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

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

16%14%+2.2
Total100%26%

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

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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