Automation index
How much of a Route planner’s job can AI already do?
An optimiser comes earlier. Fitting the windows without blowing the hours do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Route planner
28%
AI can already do 28% of this job.
#112 / 703
View rankingRoute 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.
| Task | Share | AI | Points |
|---|---|---|---|
Optimise, windows and capacity.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Restrictions, tolls and the right vehicle.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The salesperson who promises and the plan that will not.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Recalc, incidents and the next day.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The warehouse, the cut-off and not leaving the last one.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it fits, and not blowing the hours.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- optimise routes
- delivery windows
- tolls
- vehicle capacity
- recalc
- traffic restrictions
- warehouse cut-off
- driving hours
Sources for this job· O*NET 13-1081.00· ESCO/ISCO 4323
IS WORK OVER?
Instructional designer
27%
#158 / 703
View rankingInstructional designer
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.
| Task | Share | AI | Points |
|---|---|---|---|
Aim, the storyboard and the module.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Pilot, the learner and what is not understood.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Activity, the feedback and not putting a silly test.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
LMS, the figure and not inflating completion.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The client, the deadline and not cutting the practice.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That they learn, and not leaving the empty video.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- course storyboard
- modules
- learner pilot
- activities
- LMS
- completion
- feedback
- not a silly test
Sources for this job· O*NET 25-9031.00· ESCO/ISCO 2351