Automation index
How much of a Tactical analyst’s job can AI already do?
A clip comes earlier. The manager using it, and it not being noise, do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Tactical analyst
27%
AI can already do 27% of this job.
#132 / 623
View rankingTactical analyst
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 |
|---|---|---|---|
Video, tags and the report.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Opponent, patterns and the one who hides.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Preview, the dressing room and not drowning them.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Live, the tablet and the change.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The manager, the ego and not contradicting in public.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it is used, and not being noise.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
- tag video
- opponent patterns
- preview
- bench tablet
- tactical reports
- dressing room
- changes
- data noise
Sources for this job· O*NET 27-2022.00· ESCO/ISCO 3422
IS WORK OVER?
Last-mile manager
26%
#211 / 623
View rankingLast-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.
| Task | Share | AI | Points |
|---|---|---|---|
Zones, capacity and route cuts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
KPIs, first attempt and incidents.EstimateNo 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.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Peaks, rain and hiring too many or too few.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The angry customer and not dressing delivered.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Cover the peak, and not leaving the neighbourhood orphaned.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 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