IS WORK OVER?

Automation index

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

Voice picking comes earlier. Hitting the SKU without leaving a lame pallet do not.

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

Task comparison

Order picker

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
List, location and the scan.
Estimate

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

16%48%+7.7
Aisle, height and the parcel that will not fit.
Estimate

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

22%10%+2.2
Errors, the short and calling it.
Estimate

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

16%28%+4.5
Pace, the shift and the pallet that goes.
Estimate

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

16%22%+3.5
Peaks, Black Friday and not mixing orders.
Estimate

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

16%18%+2.9
Hit the SKU, and not leaving a lame pallet.
Estimate

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

14%12%+1.7
Total100%22%

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

Skills and activities

  • picking
  • scan locations
  • shorts
  • build pallets
  • warehouse aisles
  • order peaks
  • SKUs
  • voice picking

Sources for this job· O*NET 53-7062.00· ESCO/ISCO 4321

Requirements engineer

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
Workshop, the actor and the requirement.
Estimate

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

18%48%+8.6
Conflict, the loudest and not swallowing it.
Estimate

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

16%40%+6.4
Criterion, the test and not leaving it vague.
Estimate

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

16%22%+3.5
Change, the impact and not hiding it.
Estimate

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

16%28%+4.5
The project lead, the deadline and not cutting the one that matters.
Estimate

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

18%14%+2.5
That it is needed, and not the loudest one's.
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

  • requirements
  • actor workshops
  • acceptance criteria
  • change impact
  • backlog
  • tests
  • not swallow the loudest
  • ambiguity

Sources for this job· O*NET 15-1299.00· ESCO/ISCO 2511

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