MOEV.AI™

Coordinated Charging/Fueling management,

Fleet Optimization and Yard Management

MOEV.AI™ is a cloud‑native AI and machine‑learning platform designed for transit bus fleets, unifying real‑time data from telematics, CAD/AVL, enterprise asset and fuel management systems, chargers, and third‑party sources to drive three core capabilities: intelligent dispatch, optimized EV charging, and streamlined yard operations. Its predictive models continuously forecast each vehicle’s remaining range and energy requirements for every block, run, or route, then automatically assign the ideal bus and generate cost‑efficient charging schedules—minimizing demand charges, maximizing battery life, and improving charge reliability. Simultaneously, the system calculates optimal parking and charger assignments on return, coordinates fueling, cleaning, and maintenance workflows, and safeguards against mis‑dispatch, helping operators eliminate range anxiety, reduce operating costs, and boost fleet availability.

MOEV.AI™ Dashboard

MOEV AI ™

Energy Monitoring: Real‑time and predictive insights into each vehicle’s charging, fueling, and fuel levels ensure uninterrupted service.
Yard Visualization: Interactive mapping of vehicle locations, parking availability, and readiness estimates streamlines staging and reduces delays.
Dispatch Coordination: AI‑driven route assignments based on range forecasts and operational priorities optimize fleet coverage.
Performance Analytics: Charger diagnostics and consolidated KPIs highlight infrastructure health and cost‑saving opportunities for strategic planning.

MOEV.AI™ - DISPATCH capability

Predictive Range Forecasting: AI/ML models translate each EV’s state of charge into precise, real‑world mile estimates under current conditions.

Daily Intelligent Assignment: Every morning, the AI engine selects the optimal vehicle for each route based on anticipated energy demand, minimizing downtime risk.

Continuous Reoptimization: Live feeds of traffic, weather, and road conditions are ingested throughout the day to update range projections and dispatch plans on the fly.

Proactive AI Alerts: If a vehicle’s forecasted range drops below its route requirement, the system automatically recommends a yard return, vehicle swap, or reroute.

MOEV.AI™ - AI Enabled Yard Management

Optimized Charger & Stall Guidance: AI/ML recommends the ideal charger port and parking bay for each vehicle to meet its required state‑of‑charge.

Next‑Duty‑Ready Forecasting: Predicts when every EV will be fully charged and ready for its route.

Departure‑Sequenced Parking: Automatically positions vehicles with the earliest departure times in the most accessible spots.

Energy‑Time‑Space Optimization: Solves complex multi‑dimensional scheduling challenges—balancing charging deadlines, shift timing, and bay availability.