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 / 623
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?
Data engineer
31%
#36 / 623
View rankingData engineer
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 |
|---|---|---|---|
Design pipelines, models and orchestration.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 50% | +12 |
Write SQL, Spark and data tests.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 45% | +8.1 |
Incidents, quality and lineage in production.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to analysts and negotiate data contracts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Cloud cost, permissions and PII.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Decide architecture and technical debt.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 20% | +2.4 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design pipelines, models and orchestration
- Write SQL, Spark and data tests
- Cloud cost, permissions and PII
- Decide architecture and technical debt
- ingeniero de datos
- data engineer
- etl
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511