IS WORK OVER?

Automation index

How much of a Freight forwarder’s job can AI already do?

A booking comes earlier. The box leaving and not sticking in customs do not.

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

Task comparison

Freight forwarder

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
Booking, freight and the B/L.
Estimate

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

18%52%+9.4
Customs, HS and the entry.
Estimate

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

16%40%+6.4
The client, the delay and the ship that will not wait.
Estimate

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

16%22%+3.5
Insurance, incidents and the claim.
Estimate

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

16%28%+4.5
The consolidator, the slot and not overbooking.
Estimate

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

18%14%+2.5
That it leaves, and not sticking in customs.
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

  • bookings
  • bills of lading
  • customs entry
  • HS codes
  • freight
  • cargo insurance
  • consolidate
  • transit incidents

Sources for this job· O*NET 43-5011.00· ESCO/ISCO 3331

Agile coach

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
Boards, metrics and the cadence design.
Estimate

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

16%40%+6.4
The real retro and the elephant in the room.
Estimate

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

18%14%+2.5
Train, unblock and the manager who will not let go.
Estimate

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

16%32%+5.1
Scale, dependencies and fake agile.
Estimate

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

16%28%+4.5
Conflict, power and not selling extra frameworks.
Estimate

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

18%18%+3.2
That they stop faking it, and not inflating velocity.
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

  • retros
  • agile cadence
  • unblock teams
  • flow metrics
  • fake agile
  • agile training
  • dependencies
  • velocity

Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421

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