TECHNOLOGY

MOEV.AI™ is an always‑on AI/ML operations engine that ingests high‑frequency telemetry—vehicle CAN and telematics data, CAD/AVL routing and schedule feeds, enterprise asset and maintenance status, fuel and charging system telemetry (OCPP and utility meters), plus external signals like tariffs and weather—into a unified, time‑synchronized data model. As shown in the architecture graphic, each data source node (Vehicle Telematics, CAD/AVL, Maintenance System, Fueling System, OCPP Chargers v1.6 & v2.0.1, Schedules/Blocks/Runs, and Renewable Energy + Storage) streams into the MOEV.AI™ core, powering continuously updated predictive models that estimate each bus’s usable range, state of health, and time to ready.

Building on those forecasts, a real‑time optimization layer at the heart of the diagram computes—and exposes via open APIs—best‑fit vehicle‑to‑block assignments, charge start/stop schedules and rate profiles for demand‑charge and TOU window management, plus yard staging moves (parking bay and charger routing). Downstream workflow engines then sequence fueling, washing, and cleaning tasks; constraint logic enforces maintenance holds; and anomaly detection flags wrong‑vehicle movements. Delivered as a cloud‑native, hardware‑agnostic SaaS platform, MOEV.AI™ leverages machine learning, deep learning, neural networks, clustering, regression, and dynamic optimization—integrating seamlessly with any charger via OCPP (1.6 & 2.0.1) and any telematics system via open APIs—to coordinate charging, dispatch, and yard processes in real time.