IS WORK OVER?

Automation index

How much of a Collections officer’s job can AI already do?

An ageing comes earlier. Collecting without breaking the client or letting the invoice die do not.

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

Task comparison

Collections officer

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
Ageing, buckets and the call.
Estimate

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

18%48%+8.6
Deal, the promissory note and the one who does not answer.
Estimate

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

16%40%+6.4
Legal, the formal notice and the one who hides.
Estimate

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

16%22%+3.5
Sales, credit and not selling to a debtor.
Estimate

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

16%28%+4.5
The default, the insolvency and not dressing the balance.
Estimate

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

18%14%+2.5
Collect, and not breaking the client.
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

  • ageing
  • collection calls
  • promissory notes
  • formal notice
  • trade credit
  • defaults
  • debtors
  • buckets

Sources for this job· O*NET 43-3011.00· ESCO/ISCO 4214

Warehouse supervisor

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
Docks, waves and the shift plan.
Estimate

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

16%40%+6.4
The team, the peak and the one who cannot keep up.
Estimate

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

18%14%+2.5
Stock, shrink and the mystery gap.
Estimate

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

16%32%+5.1
Safety, forklifts and the near miss.
Estimate

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

16%28%+4.5
The late haulier and not mixing the docks.
Estimate

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

18%18%+3.2
Get the shift out, and not mixing the goods.
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

  • plan docks
  • waves
  • warehouse shift
  • shrink
  • forklifts
  • near misses
  • outbound peaks
  • mixed goods

Sources for this job· O*NET 53-1048.00· ESCO/ISCO 1324

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