Case Study: CMA CGM improves container ETA precision with Pathway

CMA CGM - Customer Case Study

CMA CGM, one of the world's largest shipping companies, faced a challenge with terminal saturation and long truck waiting times at the Port of Marseille Fos. Their customers lacked reliable, real-time visibility into container pickup times, which hindered their ability to anticipate delays and created friction in their supply chains. To address this, CMA CGM partnered with vendor Pathway to improve the precision of container gate-out ETAs and enhance the customer experience.

Pathway implemented a solution using data processing and machine learning to predict Estimated Times of Arrival for individual containers, not just entire ships. This system provided a real-time evaluation of potential delays, factoring in risks like transshipments and live port statistics. As a result, Pathway significantly improved the precision of ETAs. This contributed to a speed-up in container handling times and reduced both business and environmental costs for CMA CGM.

CMA CGM