• Usage Estimator API uses AI and machine learning techniques to create a real-time, personalized energy usage forecasts for customers based on various factors such as location, home size, year built, etc.
  • Usage Estimator API is especially useful for providing estimates to new homeowners or renters who have not yet established a billing history with an Energy Provider, or for presenting personalized energy plans to customers based on their predicted usage.
  • Using self-learning AI and proprietary algorithms allows Usage Estimator API to improve its forecasting accuracy over time as it processes more data and adapts to new patterns.
  • Leveraging the cloud computing capabilities of Amazon Web Services (AWS) can also provide the necessary scalability and resources to support the system's forecasting and machine learning operations.
  • Usage Estimator provides valuable insights and a better customer experience by enabling more accurate and personalized energy usage forecasts.