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

Executive housekeeper

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
Roster, checklists and linen logs.
Estimate

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

18%40%+7.2
Rounds, standards and VIP rooms.
Estimate

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

18%14%+2.5
Room team, shifts and conflict.
Estimate

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

16%22%+3.5
Front desk, maintenance and complaints.
Estimate

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

16%18%+2.9
Inventory, minibar and lost-and-found.
Estimate

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

16%16%+2.6
Not handing a dirty room to a guest.
Estimate

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

16%14%+2.2
Total100%21%

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

Skills and activities

  • Roster, checklists and linen logs
  • Rounds, standards and VIP rooms
  • Room team, shifts and conflict
  • Front desk, maintenance and complaints
  • Inventory, minibar and lost-and-found
  • Not handing a dirty room to a guest
  • gobernanta
  • ama de llaves
  • executive housekeeper

Sources for this job· O*NET 37-1011.00· ESCO/ISCO 5151

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