Amidst rapid industrial growth, efficient energy management is paramount for optimizing operational costs and ensuring sustainability. This paper presents a novel approach to energy monitoring and management leveraging artificial intelligence of things (AIoT). An AIoT-based system has been deployed at an existing industrial setups, allowing for remote operation and real-time monitoring of various electrical parameters. The proposed AIoT-based system utilizes NodeMCU microcontroller units to gather data from a meter interfaced with the electrical distribution system, which is then transmitted to a cloud server for storage and analysis. A custom dashboard provides stakeholders with intuitive visualizations of power demand patterns, facilitating informed decision-making processes. Furthermore, the load forecasting has been carried out using Long short-term memory (LSTM) machine learning model utilizing recorded power demand data. The proposed AIoT-based system offers actionable insights into power demand trends, empowering industries to optimize energy usage, reduce costs, and contribute to a sustainable future.