IS WORK OVER?

Automation index

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

A measure and a motor come earlier. Leaving the shutter running true do not.

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

Task comparison

Shutter 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
Measure, order and the box that will not fit.
Estimate

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

16%32%+5.1
Box, axle and the motor in the opening.
Estimate

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

22%8%+1.8
Tape, slats and the one that derails.
Estimate

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

16%22%+3.5
Program the remote and the limit.
Estimate

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

16%28%+4.5
The neighbour, the inner courtyard and not scratching the frame.
Estimate

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

16%18%+2.9
That it runs true, and not leaving a lame box.
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

  • measure shutters
  • fit boxes
  • shutter motors
  • slats
  • limit switches
  • tape
  • program remotes
  • axles

Sources for this job· O*NET 47-2031.00· ESCO/ISCO 7115

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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