Fleet Logistics£2,000/mo
Fleet-Charge AI
Challenge
As councils electrify waste and service fleets, route plans that ignore charging constraints create missed collections, idle crews, and range anxiety. Manual planning cannot reliably balance battery degradation, charger availability, and operational SLAs across mixed-duty rounds.
Solution
Fleet-Charge AI applies mathematical optimisation to co-plan tasks and charging events, ensuring EV rounds remain feasible under real-world battery and infrastructure constraints. The platform reduces dead mileage and charging bottlenecks while maintaining service reliability during network peaks.
Key Features
Battery-aware route solver models state-of-charge, payload impact, terrain, and weather to keep every run energy-feasible end-to-end
Charging orchestration predicts queue risk and reserves preferred windows across depots and public chargers using expected dwell times
What-if simulation compares fleet mix, charger expansion, and duty-cycle changes to guide capex decisions with quantified SLA impact