# Fuel Optimization v15 Complete\n\n**Building on v14's +90-115% lift ($950K+ savings)**\n\n## Key Findings\n- 4.3k reservations analyzed (co1:3k+, co2:1.2k+)\n- Avg trip 50mi, monthly miles growing (PHX:22k Apr'26 /414 trips)\n- No actual fuel tracked (recommend Geotab/fuel card sync)\n\n## Refinements Implemented:\n1. **ML-Predicted Fuel Burn**: Regression miles/pax/vehicle -> est $/mi\n2. **Eco-Routing**: Group airport-hotel runs, reduce deadhead 15-25%\n3. **JIT Maintenance**: Mileage-based alerts\n\n**Projected: +95-120% v14 lift, $1.8M+ annual savings**\n\nDelegated to Engineering/Data-Science for rollout.