Automation index
How much of a Fleet dispatcher’s job can AI already do?
A GPS and a route come earlier. Covering the job when the truck stops do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Fleet dispatcher
28%
AI can already do 28% of this job.
#93 / 643
View rankingFleet dispatcher
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 |
|---|---|---|---|
Routes, GPS and the day’s plan.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
The stopped truck, the client and reassigning.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Times, tachograph and not burning the hours.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Incidents, warehouse and the delivery that is not there.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The driver, the shortcut and not lying to the client.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Cover the job, and not leaving the route half done.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
- dispatch the fleet
- truck GPS
- tachograph
- reassign routes
- driving hours
- delivery incidents
- day plan
- stopped truck
Sources for this job· O*NET 43-5032.00· ESCO/ISCO 4323
IS WORK OVER?
Clinical research associate
27%
#172 / 643
View rankingClinical research associate
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 |
|---|---|---|---|
Protocol, CRF and the monitoring visit.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Source, the gap and the one that does not fit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Adverse event, the deadline and not delaying.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Consent, the signature and the one who did not understand.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The sponsor, the audit and not dressing the figure.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Audit, and not leaving a made-up figure.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
- CRF
- monitoring
- adverse events
- informed consent
- source data
- trial audits
- clinical protocols
- site visits
Sources for this job· O*NET 11-9121.00· ESCO/ISCO 2131