IS WORK OVER?

Automation index

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

A cabin diary comes earlier. The house smelling right without double-booking the massage do not.

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

Task comparison

Spa 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
Diary, cabins and the staff.
Estimate

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

18%48%+8.6
Client, the complaint and the one who is late.
Estimate

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

16%40%+6.4
Protocols, hygiene and the product.
Estimate

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

16%22%+3.5
Occupancy, the hotel and not giving the circuit away.
Estimate

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

16%28%+4.5
The inspection, insurance and not hiding the incident.
Estimate

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

18%14%+2.5
Smell right, and no double-booked massage.
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

  • cabin diary
  • hygiene protocols
  • the circuit
  • spa occupancy
  • spa staff
  • products
  • complaints
  • massages

Sources for this job· O*NET 11-9072.00· ESCO/ISCO 1431

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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