WaterSmart Irrigation Detection analytics were created to help utilities identify, communicate, and understand when
customers are irrigating and which customers are over-irrigating. WaterSmart’s patent-pending Irrigation Detection Algorithm (IDA) compares end-users AMI hourly data against their pattern of use over time to identify
possible irrigation events.
By fully utilizing AMI data and leveraging machine learning to identify irrigation patterns and behaviors, utilities can
improve water conservation, customer satisfaction, and compliance. In addition, automation coupled with mass, digital engagement saves the utility significant time and money, allowing staff to devote more time to higher-value tasks.