Summary
An AI-powered energy management platform unified operational and sensor data to monitor equipment-level energy use and emissions in near real time. Machine learning models detected anomalies, benchmarked performance, and identified efficiency gaps across facilities. Automated emissions calculations replaced manual processes and improved reporting accuracy. The solution enabled chemical manufacturers to reduce energy costs, lower environmental impact, and strengthen sustainability performance.