Case Study: a Fortune 500 manufacturer predicts HVAC chiller failures with C3.ai

a Fortune 500 manufacturer predicts HVAC chiller failures in 4 days with C3.ai

The building systems division of a Fortune 500 manufacturer faced the challenge of reactive maintenance for its commercial HVAC chiller systems, which led to costly emergency repairs and customer dissatisfaction. To address this, the manufacturer partnered with C3.ai and deployed C3 AI Reliability to rapidly integrate data and predict failures.

C3.ai implemented its solution, which involved loading three years of sensor data for 165 chillers and developing a custom machine learning model. The project was completed in just four days, and the resulting model achieved 73% precision and 71% recall for predicting chiller failures, identifying an annual benefit of $178 million for the customer.