IS WORK OVER?

Automation index

How much of a Last-mile manager’s job can AI already do?

A zone map comes earlier. Hitting the peak without leaving the neighbourhood without a courier do not.

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

Task comparison

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

DJ

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
Prep crates, edits and setlists.
Estimate

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

18%42%+7.6
Promo, contracts and riders.
Estimate

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

16%30%+4.8
Play live and read the floor.
Estimate

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

24%8%+1.9
Room sound, desk and technical faults.
Estimate

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

14%12%+1.7
Venue, talent buyer and crowd.
Estimate

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

14%14%+2
Brand, touring and own catalogue.
Estimate

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

14%16%+2.2
Total100%20%

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

Skills and activities

  • Prep crates, edits and setlists
  • Promo, contracts and riders
  • Play live and read the floor
  • Room sound, desk and technical faults
  • Venue, talent buyer and crowd
  • Brand, touring and own catalogue
  • pinchadiscos
  • disc jockey

Sources for this job· O*NET 27-2042.00· ESCO/ISCO 2652

Analyse my job

Jobs with similar scores

  1. 208Court-appointed expert26%
  2. 209Chemist26%
  3. 210Copywriter26%
  4. 212Development cooperation officer26%
  5. 213NGO programme officer26%
  6. 214Lathe operator26%