IS WORK OVER?

Automation index

How much of a Dairy technician’s job can AI already do?

A count and a pH come earlier. The batch pasteurising without splitting do not.

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

Task comparison

Dairy technician

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, pH and milk intake.
Estimate

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

18%48%+8.6
Pasteurise, the batch and the one that splits.
Estimate

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

16%22%+3.5
Cultures, yoghurt or cheese and the recipe.
Estimate

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

16%36%+5.8
CIP, quality and the health report.
Estimate

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

16%28%+4.5
The farmer, the tank and not mixing the sour.
Estimate

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

18%14%+2.5
That it pasteurises, and not splitting the batch.
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

  • milk intake
  • pasteurise
  • dairy pH
  • cultures
  • CIP
  • bacterial count
  • tanks
  • yoghurt batches

Sources for this job· O*NET 51-3092.00· ESCO/ISCO 7513

Last-mile manager

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
Zones, capacity and route cuts.
Estimate

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

16%44%+7
KPIs, first attempt and incidents.
Estimate

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

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

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

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

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

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

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

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

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

16%14%+2.2
Total100%26%

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

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

Analyse my job

Jobs with similar scores

  1. 183Payroll clerk27%
  2. 184Tourist-office officer27%
  3. 185Grants officer27%
  4. 187Switchboard operator27%
  5. 188Telemarketer27%
  6. 189Treasurer27%