One platform—Electrapilot EV FMS (Fleet Management System) key features
Four core capabilities purpose‑built to optimize electric cargo fleet operations.
Real‑time monitoring/dispatch
Collects and visualizes vehicle locations and statuses every 5 seconds for live oversight—see operations at a glance and respond instantly to incidents.
Optimal charger matching
Recommends the best station by combining charge rate, availability, and vehicle schedules—cutting queues and boosting utilization.
Anomaly alerts
AI detects battery anomalies, charge delays, and irregular driving patterns in real time—early alerts extend vehicle life and lower maintenance costs.
Coordinated delivery routing
Automates inter‑vehicle handoffs and re‑dispatch so you deliver more with the same fleet—maximizing multi‑vehicle efficiency to save time and cost.
◣ Core Capabilities
01
Deep‑learning–based AI prediction engine
▸ CNN ❘ Convolutional Neural Network
Automatically extracts five external factors—temperature, humidity, road conditions, elevation, regenerative braking—to model battery consumption.
▸ LSTM ❘ Long Short‑Term Memory network
Learns driving patterns and energy use over time to predict “when and how much to charge.
02
IoT data collection & integration
▸ Proprietary IoT device streams vehicle data in real time (supports +7–+36 V systems).
▸ Unified cloud + mobile/web experience for driver app and operations dashboard.
03
Charging orchestration engine
▸ Fuses station availability, vehicle schedules, and traffic into a weighted scheduler that minimizes queues and detours.
04
Agent-Level AI
▸ An AI agent per vehicle perceives context and executes optimal charging/driving decisions autonomously.
▸ Beyond “reporting”—Electrapilot shifts fleets to active operations.
05
Carbon tracking & crediting engine
▸ Automatically quantifies reductions, visualizes impact, and converts to carbon credits—supporting ESG and monetization.
One platform—Electrapilot EV FMS (Fleet Management System) key features
Four core capabilities purpose‑built to optimize electric cargo fleet operations.
▪ Real‑time monitoring/dispatch
Collects and visualizes vehicle locations and statuses every 5 seconds for live oversight—see operations at a glance and respond instantly to incidents.
▪ Optimal charger matching
Recommends the best station by combining charge rate, availability, and vehicle schedules—cutting queues and boosting utilization.
▪ Anomaly alerts
AI detects battery anomalies, charge delays, and irregular driving patterns in real time—early alerts extend vehicle life and lower maintenance costs.
▪ Coordinated delivery routing
Automates inter‑vehicle handoffs and re‑dispatch so you deliver more with the same fleet—maximizing multi‑vehicle efficiency to save time and cost.
◣ Core Capabilities
01
Deep‑learning–based AI prediction engine
▸ CNN ❘ Convolutional Neural Network
Automatically extracts five external factors—temperature, humidity, road conditions, elevation, regenerative braking—to model battery consumption.
▸ LSTM ❘ Long Short‑Term Memory network
Learns driving patterns and energy use over time to predict “when and how much to charge.
02
IoT data collection & integration
▸ Proprietary IoT device streams vehicle data in real time (supports +7–+36 V systems).
▸ Unified cloud + mobile/web experience for driver app and operations dashboard.
03
Charging orchestration engine
▸ Fuses station availability, vehicle schedules, and traffic into a weighted scheduler that minimizes queues and detours.
04
Agent-Level AI
▸ An AI agent per vehicle perceives context and executes optimal charging/driving decisions autonomously.
▸ Beyond “reporting”—Electrapilot shifts fleets to active operations.
05
Carbon tracking & crediting engine
▸ Automatically quantifies reductions, visualizes impact, and converts to carbon credits—supporting ESG and monetization.
◣ Security & Compliance
Security & compliance
WCAG 2.1 AA, HTTPS, GDPR/CCPA ready.
CSP, consent management (CMP),
end‑to‑end encryption.
Protects vehicle data and user privacy end‑to‑end.