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

Agile coach

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
Boards, metrics and the cadence design.
Estimate

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

16%40%+6.4
The real retro and the elephant in the room.
Estimate

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

18%14%+2.5
Train, unblock and the manager who will not let go.
Estimate

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

16%32%+5.1
Scale, dependencies and fake agile.
Estimate

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

16%28%+4.5
Conflict, power and not selling extra frameworks.
Estimate

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

18%18%+3.2
That they stop faking it, and not inflating velocity.
Estimate

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

16%14%+2.2
Total100%24%

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

Skills and activities

  • retros
  • agile cadence
  • unblock teams
  • flow metrics
  • fake agile
  • agile training
  • dependencies
  • velocity

Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421

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