A regional water authority struggled with a reactive approach to water management. Decisions on rationing and conservation were made only when reservoir levels were critically low, leading to public dissatisfaction, economic disruption, and uncertainty. The lack of a predictive system meant they were always responding to a crisis rather than anticipating and preventing it.

We developed a comprehensive hydrological intelligence model. Our methodology went beyond simple forecasting to create a robust system that integrates diverse data sources, models complex interdependencies, and provides actionable insights. We focused on data unification, predictive modeling, scenario simulation, and actionable alerts to build a proactive framework.

We delivered a centralized dashboard that acts as the authority's strategic control center. This platform provides real-time visibility into water reserves, a 6-month predictive forecast of future levels, and an interactive simulation engine for proactive planning. The system also includes an innovative strategy to intelligently estimate consumption from unmetered concessions, providing a more complete water balance.

Our predictive model enabled the authority to shift its strategy, leading to unprecedented foresight and a more sustainable water future. We achieved a significant improvement in water level forecast accuracy and mitigated risk.