Deciding where to place EV fast chargers can be a daunting task, especially when it comes to maximizing utilization and achieving a necessary return on investment. FreeWire’s Mobilyze Pro uses proprietary datasets combined with machine learning to analyze site characteristics, predict utilization, model ROI, develop deployment strategies, and track performance over time.
Mobilyze provides you with powerful resources to accomplish your business goals and support the rapid, and profitable, development of charging infrastructure.
Experience the power of Mobilyze Pro as it seamlessly integrates data from existing public charging locations. Through detailed analysis of EV drivers’ travel habits, demographic insights, and EV adoption, the platform forecasts the number of charging sessions per day at any location.
Understanding return on investment requires a comprehensive understanding of energy consumption, utility tariffs, and how adding EV charging changes total energy spend. With the profitability calculator, Mobilyze provides a complete picture of the business case behind deploying both battery-integrated and traditional DCFC.
Choose from a range of tariff alternatives to precisely assess how the introduction of fast charging will influence total energy spend for locations. This empowers you to pinpoint the optimal utility tariff for the site with enhanced accuracy.
Effortlessly upload numerous locations, or even your entire portfolio, to pinpoint optimal charger placements. Utilize multiple filters such as incentives, traffic, and local competition to refine your results. These filters are cumulative, allowing you to prioritize remaining sites based on your business objectives.
Powered by advanced AI, Mobilyze Pro incorporates an extensive array of public and proprietary datasets to forecast ideal sites for EV fast charging deployment. Factors like vehicle registrations, traffic flows, visitor behaviors, and additional metrics contribute to ROI projections. The model is further enhanced by incorporating new deployment metrics, and continually refining future predictions.
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