IS WORK OVER?

Automation index

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

A pickup comes earlier. Raising the rate without emptying the hotel do not.

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

Task comparison

Revenue 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
Pickup, competitors and the rate.
Estimate

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

18%48%+8.6
Channels, overbooking and the one left on the street.
Estimate

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

16%40%+6.4
Events, the holiday and not sleeping on the price.
Estimate

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

16%22%+3.5
Report, management and the staff cut.
Estimate

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

16%28%+4.5
Sales, the group and not giving the room away.
Estimate

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

18%14%+2.5
A high rate and a full house, not empty.
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

  • pickup
  • rates
  • channels
  • overbooking
  • holidays
  • groups
  • competitors
  • rooms

Sources for this job· O*NET 11-9081.00· ESCO/ISCO 1411

Home-automation installer

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
Diagram, buses and scene programming.
Estimate

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

16%40%+6.4
Wire, sensors and the switch that does not answer.
Estimate

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

18%14%+2.5
Integrate lights, climate and the client app.
Estimate

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

16%32%+5.1
Train, guest mode and the one who breaks it.
Estimate

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

16%22%+3.5
The lived-in house and not leaving it dark.
Estimate

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

18%18%+3.2
That it obeys, and not needing the cloud for a switch.
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

  • program scenes
  • home buses
  • integrate climate
  • sensors
  • home app
  • switches
  • guest mode
  • wire KNX

Sources for this job· O*NET 47-2111.00· ESCO/ISCO 7411

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