Evocast provides a rich geolocation data and AI-generated demand forecasts to support your decision making.
Evotrack regularly cleans and compiles historical and real-time datasets for better data driven decisions
Understand local topology to evaluate site attraction and dwell times
Gain insight towards regional competition via monthly reviewed charging data
Review a collage of socio-economic datasets and statistical features
Access accurate land boundaries and historical ownership data
Track ongoing building applications related to electric vehicle charging infrastructure
Evaluate price strategies through competing brands and wholesale energy prices
Determine planning constraints and cost estimates prior to deployment
Capture key indicators for off-street parking and defined population centers
Captures available open parking spaces through image recognition via satellite imagery
Evotrack develops and provides state-of-the-art AI forecasts on EV adoption, charging demand and traffic.
Predicts granular level traffic estimations for the entire major road network
Identify regions of high charging demand with low charging supply coverage
Forecasts future electric vehicle proportions across multiple regions for deployment strategies
Automates customer review summaries for future growth and maintainence insights
Introduces automated site scoring for efficient identification of ideal charging sites
Imply dynamic temporal pricing strategies per location for better returns on initial capital
