Autofleet

Autofleet has created the first, truly sustainable, Vehicle as a Service layer, providing an elastic supply of vehicles serving any source of demand. This vehicle-as-a-service layer dynamically leverages unused rental car inventory (and other similar fleets) to offer ride-share operators such as Uber and Lyft additional supply of vehicles while maintaining a seamless experience for the rider. Using Autofleet’s platform, fleet managers are able to maximize fleet utilization and improve margins dramatically while opening a new “per-mile” utilization-focused business model, positioning them for 21st century. The Autofleet platform uses machine learning for demand prediction, dynamic pricing, automated fleeting/defleeting and demand-supply matching optimization in real time. Traction: Partnered with two of the largest rental fleets on the planet Partnered with a large Japanese carmaker Completed 3 pilots in the US, EU and Japan Optimizing one of the largest Car Sharing deployments in the world Processed over 42M miles through a proprietary simulator Launching in selected cities in EU and US