Case Study: Flexport optimizes freight logistics with Outerbounds

Optimizing Freight Logistics with Machine Learning and Outerbounds

Flexport, a global logistics platform, sought to optimize its freight logistics operations but was constrained by an in-house machine learning system that required significant maintenance and limited workflow complexity. This custom solution, managed by a reduced team, distracted from their core mission. They turned to the Outerbounds platform to overcome these operational challenges.

Outerbounds provided a managed machine learning solution that eliminated infrastructure maintenance, allowing Flexport's team to focus on building value. The results included a drastic reduction in operational overhead, improved cost-optimized workflows, and the successful adoption of the platform across the organization for both ML and data tasks, enabling better cost prediction and fraud detection.

Flexport

Marc Millstone

Leads the Developer