IS WORK OVER?

Automation index

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

A pack comes earlier. The candidate understanding the risk without buying a dream do not.

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

Task comparison

Franchise consultant

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
Pack, numbers and the profile.
Estimate

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

18%48%+8.6
Candidate, the unit and the one without capital.
Estimate

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

16%40%+6.4
Contract, royalties and not hiding them.
Estimate

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

16%22%+3.5
Opening, the plan and the one who is late.
Estimate

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

16%28%+4.5
The network, the clash and not selling occupied territories.
Estimate

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

18%14%+2.5
Understand the risk, and not buying a dream.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • franchise packs
  • royalties
  • units
  • capital
  • openings
  • territories
  • contracts
  • candidate profiles

Sources for this job· O*NET 13-1111.00· 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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