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

University tutor

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
Form, the file and the one who does not come.
Estimate

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

18%48%+8.6
Mark, the cut and the one who gives up.
Estimate

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

16%40%+6.4
Grant, the paper and not letting it lapse.
Estimate

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

16%22%+3.5
Health, the referral and not playing clinician.
Estimate

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

16%28%+4.5
The dean, the dropout figure and not dressing it.
Estimate

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

18%14%+2.5
That they ask for help, and not dropping out.
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

  • university tutoring
  • degree dropout
  • grants
  • files
  • health referral
  • the dean
  • grade cuts
  • tutoring forms

Sources for this job· O*NET 25-1199.00· ESCO/ISCO 2310

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