Case Study: a defense and aerospace conglomerate reduces inbound delays with C3 AI Supply Network Risk

a defense and aerospace conglomerate predicts late inbound deliveries 90 days early with C3.ai

The defense and aerospace conglomerate faced significant challenges in managing its complex supply chain for a highly technical program. With over 4,000 annual deliveries from 374 suppliers, the company's legacy tools and data lake approach could only identify 1% of inbound delays, providing a mere 10-day lead time. C3.ai configured its C3 AI Supply Network Risk application to address these issues, which were causing inventory backlogs and increased costs.

Using logistic regression algorithms, C3.ai's solution provided a 90-day advance warning for high-risk deliveries, a nine-fold increase in lead time. This enabled the customer to achieve an eight-fold increase in successful risk mitigation and accelerate operating income by $9 million through reduced delays and lower costs.