IS WORK OVER?

Automation index

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

A pattern and a fabric order come earlier. Tensioning a sofa that sits well does not.

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

Task comparison

Upholsterer

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
Patterns, metres and fabric order.
Estimate

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

16%32%+5.1
Strip, fill and tension.
Estimate

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

22%10%+2.2
Sew, piped edges and finish.
Estimate

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

16%14%+2.2
Client, style and quote.
Estimate

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

16%22%+3.5
Shop, springs and foams.
Estimate

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

16%18%+2.9
Not delivering a seat that sags.
Estimate

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

14%14%+2
Total100%18%

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

Skills and activities

  • Patterns, metres and fabric order
  • Strip, fill and tension
  • Sew, piped edges and finish
  • Client, style and quote
  • Shop, springs and foams
  • Not delivering a seat that sags
  • tapicero
  • upholsterer

Sources for this job· O*NET 51-6093.00· ESCO/ISCO 7534

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

Jobs with similar scores

  1. 586Vehicle painter18%
  2. 587Podiatrist18%
  3. 588Civil protection volunteer18%
  4. 590Taxi driver18%
  5. 591Lighting technician18%
  6. 592Sound technician18%