Case Study: a Fortune 500 mining company reduces truck downtime with C3 AI Reliability

Fortune 500 Mining Company predicts truck failures 14 days ahead with C3.ai

A Fortune 500 mining company faced significant challenges with unplanned downtime of its haul trucks due to the inability of its legacy systems to predict engine and cooling system failures. This resulted in millions of dollars in annual losses from downtime and reduced maintenance productivity from false alerts. The company partnered with C3.ai to find an AI-enabled solution to improve asset reliability and minimize these costly production interruptions.

C3.ai configured its C3 AI Reliability application to predict truck failures up to 14 days in advance, integrating over 250 million rows of data from eight distinct sources. The solution provided actionable lead time for maintenance, allowing repairs to be scheduled during planned downtime. This implementation by C3.ai led to an estimated $40 million in savings for the mining company by significantly reducing unplanned downtime and associated losses.