Before uploading — please anonymise
- Remove driver names
- Remove company names
- Remove license plates
- Keep only vehicle models & cost figures
- Any extra column will be discarded
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Drop your Delta report here or click to browse
Accepted formats: .xlsx · .xls · .csv
Generic AI
No domain contextFleet Intelligence AI
Domain knowledge · Contract rules · Validated logicA manager acting on the generic output
"Looks like we're slightly over budget. Let's tell drivers to be careful."
Vague, untargeted, no quantified action — and the cost driver remains unaddressed.
A manager acting on the specialist output
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Why the outputs differ
| Dimension | Generic AI | Fleet Intelligence AI |
|---|---|---|
| Domain context | ✗None — treats fleet data as generic numbers | ✓MO contract structure, Swiss market rates, penalty framework |
| Cost-line accountability | ✗No mapping of who is responsible for each over-run | ✓Provider mispricing vs client usage vs market shift, per line |
| Km-normalised reasoning | ✗Compares raw Actual vs Expected, ignoring elapsed time | ✓Normalises Expected to months actually elapsed |
| Action specificity | ✗Generic recommendations ("monitor", "review") | ✓Named contractual lever per finding (renegotiate / correct / claim) |
| Quantified impact | ✗Few or no CHF figures attached to recommendations | ✓Every action quantified in CHF and % of Expected |
| Decision readiness | ✗Manager still has to do the analytical work | ✓Single one-line verdict the Fleet Manager can act on this week |