Case Study: a leading global retailer achieves 55% better lead time accuracy with C3 AI Supply Network Risk

A C3.ai Case Study

Preview of the Leading Global Retailer Case Study

a leading global retailer improves lead time accuracy by 55% with C3.ai

The customer, a leading global retailer, faced challenges in its complex supply chain with accurately predicting lead times for inbound purchase orders and evaluating supplier performance. Their existing static estimates failed to account for dynamic supply chain uncertainties. To address this, they partnered with vendor C3.ai to deploy the C3 AI Supply Network Risk application.

By implementing C3 AI's solution, the retailer achieved a 55% improvement in lead time accuracy at the time of purchase order creation and a 25% improvement for in-transit orders. This enhanced visibility allows for improved downstream planning and real-time risk management. C3.ai's application is estimated to deliver up to $30 million in annual economic benefit when fully scaled.


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