How Worldwide Express automated freight exceptions with Amazon Bedrock
Summary
- Worldwide Express partnered with AWS and LTM to deploy a multi-agentic AI solution using Amazon Bedrock for freight billing exception handling.
- The architecture utilizes specialized AI agents running on Amazon EC2 to process line-item mismatches, pricing variances, and unexpected accessorial charges.
- Integrating agents directly into the SpeedShip transportation management system via APIs allowed the system to scale across over 40 LTL carriers.
- Six months after launch, the company achieved a 75 percent reduction in active billing exceptions, unlocking a one-time $10 million free cash flow infusion and $1 million in annual savings.
- A human-in-the-loop review workflow was utilized initially, shifting to bulk approvals once system accuracy exceeded 99 percent.
Why it matters
This case study demonstrates the practical enterprise value of deploying specialized, agentic AI workflows on AWS for complex, high-volume operational processes like freight billing, resulting in measurable liquidity and cost improvements.