Swytchfleet provides an integration platform that consolidates data from vehicle telematics, charging networks, and fleet management systems into a unified API. The platform automates charging scheduling based on battery state, charger availability, and electricity pricing, and offers analytics and dynamic routing to optimize fleet uptime and energy costs for commercial EV operators.
Funding
Funding not disclosed
Founders
Product
Problem
Commercial electric vehicle (EV) fleets often operate with fragmented data across vehicle telematics, charging station networks, and dispatch systems. This lack of integration leads to manual charging coordination, inefficient route planning, and missed opportunities to optimize energy usage and vehicle uptime.
Solution
Swytchfleet delivers an integration and intelligence platform that links fleet management software, charging infrastructure, and vehicle systems into a unified data layer. The solution automates charging decisions based on real‑time vehicle status, charger availability, and energy cost signals, while providing analytics on energy performance and utilization. Operators can book charger slots, receive dynamic routing guidance, and adjust dispatch plans through a single interface, reducing downtime and improving fleet efficiency.
Target Audience
Primary customers are commercial EV fleet operators—including logistics, delivery, and ride‑hailing companies—that need coordinated charging, analytics, and dispatch optimization for large vehicle fleets.
Features
- Open API and SDK that normalize data from heterogeneous vehicle telematics, charger networks, and fleet management tools
- Real‑time charging automation engine that schedules and initiates charging sessions based on battery state, route constraints, and electricity pricing
- Energy and performance analytics dashboard delivering KPI tracking, cost per mile, and degradation insights
- Integrated charger access and reservation system supporting multiple public and private charging operators
- Dynamic routing and dispatch guidance that incorporates charger locations, availability, and optimal charging points into route optimization
- Predictive charging forecasts using machine‑learning models to anticipate demand spikes and balance fleet load
- Role‑based access controls and audit logs to meet enterprise security and compliance requirements
- Seamless integration with existing dispatch and fleet management platforms via RESTful endpoints and webhook notifications