As manufacturers set ambitious targets to advance sustainability goals and increase profitability, many lack a comprehensive solution to forecast, benchmark, and evaluate energy costs and carbon emissions at a granular level. Consequently, operations teams struggle to prioritize capital investments and make operational decisions to drive down costs and emissions.

In this webinar, discover how C3 AI Energy Management enables organizations to reduce energy costs and carbon emissions with asset and manufacturing line benchmarking, AI-based anomaly detection, and granular energy consumption forecasts. In a series of case studies and a live demo, we will demonstrate how customers have used C3 AI Energy Management to reduce energy costs by 15% and up to 25% in Scope 1 manufacturing carbon emissions.

Key highlights include:

• Uncover how C3 AI Energy Management forecasts energy costs and consumption at the equipment, manufacturing line, and facility level
• Learn how users can leverage AI-driven recommendations and the integrated project management workflows to reduce cost and carbon emissions
• Understand why leading chemicals and steel manufacturers chose C3 AI Energy Management to achieve energy cost and emissions reduction goals

Join us as we dive into the transformative impacts of AI in energy management.