The platform uses IoT sensors and advanced analytics to monitor the condition of desalination equipment in real-time.

Data collected is analyzed to predict maintenance needs, allowing for planned repairs before failures occur, extending equipment lifespan and maintaining water quality.

Simultaneously, it incorporates financial modeling tools that simulate different investment scenarios, balancing upfront costs with long-term savings.

These models help operators make strategic decisions on budget allocations and investments in durable materials and technology upgrades.

By preventing unexpected equipment failures and optimizing long-term investment in infrastructure, the platform lowers operating costs and extends the lifespan of desalination equipment.

This dual focus not only ensures continuous water quality and availability but also attracts investment by demonstrating smart, sustainable financial management.

The technology components, such as IoT sensors and predictive analytics, are mature and widely used in other industries.

The challenge lies in integrating these tools into existing plant operations and training staff to leverage financial modeling tools effectively, which may require initial investment and change management efforts.