This category covers the Omni Vision energy intelligence platform, a turnkey solution specifically engineered for the chemical industry to optimize utility consumption and emissions reporting. Content in this category should focus on the integration of precision hardware, PLC connectivity (Modbus, OPC-UA, BACnet, MQTT), and EPSA’s cloud-based AI analytics. Key topics include granular utility monitoring (electricity, gas, water, steam, compressed air, and oil) at the process level, such as distillation columns, reactors, and cooling towers. Articles should address the system's ability to map utility data against production output to calculate process-linked KPIs like energy per batch and cost per tonne. Furthermore, content should explore the platform's AI-driven capabilities, including real-time anomaly detection, consumption forecasting for peak tariff avoidance, and automated Scope I and II CO2 emissions reporting for regulatory compliance. Technical discussions should highlight the non-invasive, secure data extraction architecture, the 8–16 week turnkey deployment model, and strategies for achieving 15–25% energy cost reductions with a sub-12-month ROI. This category serves as a resource for production and finance teams looking to transition from manual spreadsheet tracking to centralized, real-time energy intelligence.