Case Study: a leading steel manufacturer reduces energy costs with C3 AI Energy Management

a leading steel manufacturer cuts energy costs by $14M with C3.ai

A leading steel manufacturer faced significant challenges managing its energy-intensive production process. The company's existing internal tool could only track energy use, not predict it, leading to unanticipated purchases of expensive external power, costly demand charges, and production halts that hurt throughput. To address this, the manufacturer partnered with C3.ai to implement the C3 AI Energy Management application for accurate energy forecasting and planning.

C3.ai configured the application to ingest a year of operational data and deployed machine learning models to forecast energy use at the facility and equipment level. This provided the visibility needed to predict cost peaks and optimize production schedules around energy costs. The solution delivered substantial results, including $14 million in annual energy cost savings, an $8 million increase in annual revenue from improved throughput, and a 40 MW reduction in monthly utility demand charges.