IS WORK OVER?

Automation index

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

An ERP comes earlier. Issuing the right invoice without blocking the client do not.

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

Task comparison

Billing 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
Orders, delivery notes and the invoice.
Estimate

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

18%48%+8.6
VAT, withholdings and the one that does not square.
Estimate

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

16%40%+6.4
Credit notes, the credit and the client who argues.
Estimate

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

16%22%+3.5
Close, the immediate supply and the deadline.
Estimate

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

16%28%+4.5
Sales, the extra and not over-billing.
Estimate

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

18%14%+2.5
The right invoice, and not blocking 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

  • delivery notes
  • invoices
  • VAT
  • credit notes
  • immediate supply
  • billing close
  • withholdings
  • orders

Sources for this job· O*NET 43-3021.00· ESCO/ISCO 4311

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

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