IS WORK OVER?

Automation index

How much of a Medical sales rep’s job can AI already do?

A leave-behind comes earlier. Getting into clinic without selling smoke to the doctor do not.

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

Task comparison

Medical sales rep

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
Route, leave-behind and the call.
Estimate

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

16%40%+6.4
Clinic, the minute and the one who will not see you.
Estimate

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

18%14%+2.5
Trial, the SmPC and not over-claiming.
Estimate

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

16%28%+4.5
Pharmacy, stock and the one who will not order.
Estimate

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

16%22%+3.5
The code, compliance and not over-hosting.
Estimate

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

18%18%+3.2
Get in for real, and not selling smoke.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • call routes
  • leave-behinds
  • SmPC
  • pharmacies
  • compliance
  • trials
  • clinics
  • not over-claim

Sources for this job· O*NET 41-4011.00· ESCO/ISCO 2433

Demand planner

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
Forecast, promotions and bias.
Estimate

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

18%52%+9.4
Safety stock, lead time and the order.
Estimate

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

16%40%+6.4
Sales, the spike and the promo nobody flagged.
Estimate

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

16%22%+3.5
S&OP, consensus and the fight over numbers.
Estimate

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

16%28%+4.5
The supplier who fails and not covering with air.
Estimate

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

18%14%+2.5
Neither empty nor drowned, and not inflating the forecast.
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

  • demand forecast
  • safety stock
  • lead time
  • S&OP
  • promotions
  • forecast bias
  • supplier orders
  • empty shelf

Sources for this job· O*NET 13-1081.00· ESCO/ISCO 2421

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