Capgemini
705 Case Studies
A Capgemini Case Study
Chevron Phillips Chemical Company faced a constrained U.S. supply chain and needed better visibility into its rail shipments—about 12,000 railcars moving across the country—to improve delivery timing and customer service. Capgemini supported the company with its Supply & Network Optimization – Shipment Central tool, helping teams track movements and respond more proactively to customer needs.
Capgemini’s solution ingests data from rail companies, aggregates it, and applies machine learning to visualize railcars in transit across the U.S. This gave Chevron Phillips Chemical more accurate delivery forecasts, faster order-status answers, and the ability to alert customers early about delays or disruptions, improving predictability, reducing time spent searching for information, and enabling more effective, customer-focused decisions.
Jason Gislason
Chief Digital Officer