Case Study: a leading fertilizer company improves asset uptime with C3 AI

a leading fertilizer company boosts asset uptime 1.8% with C3.ai

A leading fertilizer company faced significant challenges with unplanned downtime and high maintenance costs due to its aging fleet of production assets. Its reactive maintenance approach resulted in reliability losses 60% higher than its target. To address this, the company partnered with C3.ai, using the BHC3 Reliability application to enable predictive monitoring and transform its maintenance strategy.

C3.ai configured BHC3 Reliability to integrate over five years of historical data and live sensor feeds, creating a unified data model for 27 critical assets. The solution deployed 233 machine learning models to predict failures and detect anomalies. This implementation by C3.ai resulted in a 1.8% increase in asset uptime, the avoidance of 460 hours of annual downtime, and provided an average lead time of 62 days for predictable events.