IS WORK OVER?

Automation index

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

A list and a standard pairing write fast. Tasting, selling the bottle, and reading the table do not.

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

Task comparison

Sommelier

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
Build the list, sheets and standard pairings.
Estimate

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

20%40%+8
Orders, cellar and stock.
Estimate

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

16%28%+4.5
Taste, buy and negotiate with the importer.
Estimate

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

20%12%+2.4
Table service and suggestive selling.
Estimate

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

16%10%+1.6
Train floor staff and handle a wine complaint.
Estimate

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

14%14%+2
Events, tastings and house relations.
Estimate

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

14%16%+2.2
Total100%21%

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

Skills and activities

  • Orders, cellar and stock
  • Taste, buy and negotiate with the importer
  • Table service and suggestive selling
  • Events, tastings and house relations
  • sommelier
  • sumiller
  • carta de vinos

Sources for this job· O*NET 35-1012.00· ESCO/ISCO 5131

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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