A new AI/ML-powered platform addresses high energy consumption and carbon emissions in industrial and commercial sectors. It offers real-time energy monitoring, predictive maintenance, and carbon footprint analysis, resulting in reduced energy costs (up to 20% savings) and improved equipment uptime (27% less maintenance costs) across over 500 global sites. To combat high energy consumption and carbon emissions within industrial and commercial sectors, a new solution provides an AI/ML-powered platform for real-time energy monitoring, predictive maintenance, and comprehensive carbon footprint analysis. This intelligent system directly leads to reduced energy costs, improved equipment uptime, and significantly enhanced sustainability. Its effectiveness is proven by achieving remarkable results, including up to 20% energy savings and a 27% reduction in maintenance costs across over 500 sites globally, demonstrating its powerful impact on operational efficiency and environmental responsibility.