Case Study: South West Water reduces sewer overflow alerts by 93% with StormHarvester

South West Water reduces reactive noise by 93% with StormHarvester

South West Water sought to improve its detection of sewer network blockages and prevent overflows. The water company partnered with vendor StormHarvester to implement its AI-powered platform for proactive monitoring and early alerts.

The solution from StormHarvester used machine learning to analyze live level data and hyperlocal rainfall, identifying abnormal patterns. This resulted in a 93% reduction in reactive alert noise and led to the identification of 363 issues, enabling South West Water to act quickly to prevent environmental harm and shift to a proactive operational model.

South West Water