This paper introduces an innovative solution for advanced water flow monitoring in industrial infrastructures. The system utilizes an IoT network consisting of microcontrollers ESP32 and Arduino Mega, equipped with a GPS module for precise location tracking of flow meters. That serve as the foundation for real-time data collection. The gathered data is transmitted to an interactive dashboard hosted in the cloud. This dashboard not only provides real-time visualization of flow rates but also incorporates a machine learning model. This model can detect anomalies in the flow rate in real-time. Upon detection of an anomaly, an automatic notification is sent, facilitating swift and effective intervention. The combination of IoT technology and artificial intelligence ensures real-time responsiveness, reduces intervention times, and minimizes associated costs in cases of leaks or anomalies. Furthermore, the system’s flexibility and scalability allow for the seamless integration of new sensors or adaptation to evolving industrial challenges in the future.