AI for understanding water/energy consumption needs, nature (domestic, public, commercial, and industrial use) of water/energy demand and water usage patterns, validate the success of water/energy conservation efforts, define right metrics to be used for assessing water/energy usage and identify new areas to improve water/energy conservation efforts.

Zasti builds accurate predictive models to forecast water/energy consumption patterns for various departments based on usage needs and patterns. This leads to better management of water/energy system operations and real time responses. The AI algorithms analyze the water/energy usage per area per customer to identify a base level consumption. The model then compares the usage to average consumption patterns by checking them against an extensive database of water/energy use applications. Once baselines are established, Zasti’s AI processes minute details of water/energy system performance in real time, applying AI and deep learning to detect usage anomalies.