IS WORK OVER?

Automation index

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

A cycle count comes earlier. Matching what is there to what the system says do not.

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

Task comparison

Inventory clerk

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
Count, locations and the adjustment.
Estimate

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

18%52%+9.4
Floor, the gap and what is in the aisle.
Estimate

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

16%22%+3.5
Report, shrink and the reason.
Estimate

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

16%36%+5.8
Audit, the auditor and not dressing it.
Estimate

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

16%28%+4.5
The peak, the blind count and the stopped warehouse.
Estimate

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

18%14%+2.5
Match for real, and not adjusting blind.
Estimate

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

16%12%+1.9
Total100%28%

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

Skills and activities

  • cycle count
  • adjust stock
  • locations
  • shrink
  • blind count
  • stock audit
  • gaps
  • variance reasons

Sources for this job· O*NET 43-5081.00· ESCO/ISCO 4321

BIM modeller

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
Model, families and clash detection.
Estimate

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

18%52%+9.4
IFC, BEP and trade coordination.
Estimate

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

16%40%+6.4
Site, the one who will not open the model, and the meeting.
Estimate

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

16%22%+3.5
Quantities, parameters and the 4D nobody uses.
Estimate

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

16%28%+4.5
The last-minute change and not breaking the federated model.
Estimate

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

18%14%+2.5
That it can be built, and not over-modelling.
Estimate

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

16%12%+1.9
Total100%28%

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

Skills and activities

  • BIM modelling
  • clash detection
  • Revit families
  • IFC
  • BEP
  • coordinate trades
  • BIM quantities
  • federated model

Sources for this job· O*NET 17-3011.00· ESCO/ISCO 3118

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