This company offers a cloud-based software platform that uses AI to optimize electric vehicle fleet operations. By analyzing telematics, dispatch, and environmental data, the software helps fleet managers optimize charging schedules and predict mileage, reducing operational costs.
Funding
Funding not disclosed
Founders
Product
Problem
Electric vehicle fleets face challenges in optimizing charging schedules, predicting accurate mileage, and managing yard operations, leading to increased operational costs and range anxiety for drivers. Inefficient charging and dispatch processes can result in higher electricity bills due to demand charges and suboptimal utilization of charging infrastructure.
Solution
Moev.AI offers a cloud-based software platform that leverages artificial intelligence and machine learning to optimize electric vehicle fleet management and charging. The platform analyzes real-time data from telematics, dispatch systems, terrain, and weather to accurately predict mileage for each EV and recommend the best vehicle for a given route. Upon returning to the fleet yard, the system guides drivers to the most optimum charger location, streamlining departure schedules and minimizing the need to move other vehicles. By optimizing charging schedules around time-of-use pricing and historical behavior, Moev.AI helps fleets minimize electricity bills and improve charging reliability.
Target Audience
The primary target audience includes electric vehicle fleet operators and managers seeking to optimize their charging infrastructure, reduce operational costs, and improve the efficiency of their EV fleets.
Features
- AI-powered prediction of energy needs and available mileage based on real-time data inputs.
- Charging management optimizes charging schedules to minimize electricity costs and demand charges.
- Interactive dashboard displays real-time information on predicted remaining miles, state of charge (SOC), and energy consumption.
- Dispatch capability maps the most optimal vehicle to service the energy needs of each route, adapting to real-time changes in traffic and weather.
- Yard management guides drivers to the optimal charger and parking spot, minimizing vehicle movement.
- Supports OCPP versions 1.6 and 2.01 for compatibility with various charging hardware.
- API integration with vehicle telematics systems for data ingestion.