IS WORK OVER?

Automation index

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

A luggage tag comes earlier. Getting them up whole without losing the one at the back do not.

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

Task comparison

Bellhop

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
Tag, bags and the floor map.
Estimate

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

16%32%+5.1
Up, the lift and the one that will not fit.
Estimate

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

22%8%+1.8
Room, the VIP and not going in unannounced.
Estimate

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

16%22%+3.5
Tip, the shift and the one who hides.
Estimate

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

16%28%+4.5
The group, the coach and not leaving one in the lobby.
Estimate

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

16%18%+2.9
Whole, and not losing the one at the back.
Estimate

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

14%12%+1.7
Total100%19%

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

Skills and activities

  • bags
  • floors
  • the lift
  • VIP
  • tips
  • lobby
  • groups
  • luggage tags

Sources for this job· O*NET 43-4081.00· ESCO/ISCO 9621

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

Analyse my job

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