Case studies

Transformative improvements in logistics intelligence and operational decision-making

“We decided to partner with Uber Freight on AI to elevate our data analytics as our operations were getting more and more sophisticated. Insights AI is becoming one of the enablers to enhance getting to that goal of becoming the preferred supplier for our customers.”

– Tatiana Martinez, Vice President of North America Customer Service and Logistics at Colgate-Palmolive

CPG & Retail
Person with long dark hair wearing red-framed glasses and light blazer, smiling while speaking in an indoor setting.

"We decided to partner with Uber Freight on AI to elevate our data analytics as our operations were getting more and more sophisticated. Insights AI is becoming one of the enablers to enhance getting to that goal of becoming the preferred supplier for our customers."

- Tatiana Martinez, Colgate-Palmolive

Videos, Case studies
Two warehouse workers reviewing documents and plans together in a storage facility with shelves in background.

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.

Case studies
How Leaf Home plans to use an automated TMS to improve service and drive efficiency

“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

Case studies
BlueTriton mitigates hurricane impact with Control Tower

“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.”

Case studies