Roam Launches "Roam Explorer" AI Platform to Revolutionize African EV Fleet Management

In a strategic move to solidify the operational backbone of Africa’s electric vehicle (EV) sector, Roam has launched Roam Explorer. This AI-powered platform is engineered specifically for the diverse and often challenging geographical landscapes of the continent, offering fleet operators a unified system to monitor and manage motorcycles, tuk-tuks, buses, and cars in real time. The standout feature of Roam Explorer is its resilience in low-connectivity environments. Unlike many global telematics systems that require high-speed data, this platform operates seamlessly across 2G, 3G, and 4G networks. Operators can access comprehensive vehicle data via smartphones, while essential commands and alerts can be delivered through SMS—ensuring that fleet visibility is maintained even in remote rural areas where network infrastructure is sparse. Leveraging advanced Artificial Intelligence, the platform goes beyond simple GPS tracking. It provides deep-dive analytics into battery health, temperature, and discharge cycles, allowing the system to predict maintenance needs before a breakdown occurs. For the operator, this translates to higher vehicle uptime and extended battery lifespans—the most significant cost factor in electric mobility. Riders also benefit from proactive safety alerts that help improve driving performance and operational security. Crucially, Roam Explorer serves as a powerful tool for asset financing. By providing lenders—such as M-KOPA—with real-time insights into the performance and location of financed vehicles, it de-risks the lending process. This level of financial and operational visibility is expected to unlock more affordable credit for drivers, accelerating the mass adoption of electric motorcycles and public transport buses across the region. Why This Matters * Connectivity Resilience: Enables EV operations in "last-mile" areas by utilizing 2G/SMS capabilities alongside traditional 4G data. Predictive Maintenance: Uses AI to prevent costly mid-trip breakdowns, ensuring public transport and delivery services remain reliable. Asset De-risking: Provides financiers with immutable data on vehicle usage, facilitating larger credit lines for the e-mobility sector. Operational Efficiency: Allows a single fleet manager to monitor hundreds of vehicles simultaneously, optimizing routes and battery swaps. Opportunity Sector E-mobility Infrastructure, Asset Finance (FinTech), Data Analytics, Telecommunications, Logistics Management. Follow @MotoSeenAfrica for more updates on business, trade, investments, opportunities and economic growth across Africa. Moto Seen Africa — Africa’s View, Seen Clearly. #RoamExplorer #EmobilityAfrica #ElectricVehicles #AIFleetManagement #KenyaTech #SustainableTransport #GreenEnergy #FinTechKenya