Études de cas

Ce manuel d'instructions explore en profondeur les références en matière de coût, de qualité, de service et de livraison pour chaque kilomètre, avec des stratégies pour réduire les frais de transport, améliorer le service et augmenter la disponibilité en rayon.

« Nous avons décidé de nous associer à Uber Freight pour l'IA afin d'améliorer notre analyse de données, car nos opérations devenaient de plus en plus sophistiquées. Insights AI devient l'un des facilitateurs pour atteindre cet objectif de devenir le fournisseur privilégié de nos clients. »

- Tatiana Martinez, Colgate-Palmolive

This backhaul utilization project, in particular, is helping the company identify priority vendor lanes, reduce lead times, and boost driver efficiency. This project alone is expected to increase backhaul revenue by millions this year. It’s also one of six process improvement plans currently in motion with similar outcomes and savings.

“Our team needed to get more creative and proactive in how we move our freight. Leveraging a modern TMS that could improve cost savings, shipment tracking and consolidation is what drove us to Uber Freight. Our goal as a company is to not just efficiently book freight with our carriers, but book our freight in the best possible way.”

-Matthew McKinney, Director of Logistics and Distribution at Leaf Home

“During a hurricane, minutes matter. Having standardized reports with timely, accurate information is critical to us being able to quickly make data-driven decisions. We can immediately examine the status of our network and develop a strategy based on the data available in the Control Tower, then take action.”