Shipwell marks 10 years with AI-first supply chain platform

Shipwell is celebrating its 10th anniversary this week and shifting from a transportation management system to AI tools that spot freight problems earlier and automate more work. The Austin-based company says the move is aimed at helping shippers act inside existing systems instead of relying on dashboards and manual workflows.

Why it matters: - Shipwell is pushing transportation management beyond visibility and into automated decision-making. - The shift could reduce manual freight work for shippers that still rely on email, spreadsheets and carrier calls. - Shipwell says its AI tools are designed to surface problems before they become service failures.

What happened: - Shipwell marked its 10th anniversary this week. - The company started in 2016 as OtterLogic. - Co-founders Greg Price and Jason Traff launched the company to solve freight visibility problems. - Shipwell now serves publicly traded companies with a combined market cap of more than $1 trillion. - Greg Price said the company is focused on what AI can do now that was not possible when Shipwell was founded.

The details: - Shipwell’s core platform still centers on multimodal freight management, carrier execution and shipment tracking. - The platform now includes an In-App AI Assistant for conversational freight insights. - Shipwell also offers a Track & Trace AI Worker that flags exceptions before they turn into service failures. - The platform supports intelligent automation for routing and appointment scheduling. - Shipwell is expanding access through standalone AI tools, open APIs and its Model Context Protocol (MCP) Server. - The MCP Server connects AI assistants directly to live transportation data and workflows. - Shipwell is moving toward a headless architecture that lets customers act on freight intelligence inside systems they already use. - The company uses the same AI tools across development and QA to ship new capabilities faster. - Shippers in food and beverage, manufacturing, distribution, retail and oil and gas are already using Shipwell’s AI Worker solutions.

Between the lines: - Shipwell is repositioning itself from a transportation management system vendor to a broader supply chain AI platform. - The company’s emphasis on agents and natural-language interaction suggests a bet that users want fewer dashboards and more automated workflows. - The AI Worker framing also signals a move toward software that handles repetitive tasks instead of just reporting on them. - Price and Traff are presenting the next phase as a way to find problems before transportation teams have to look for them.

What's next: - Shipwell plans to keep expanding AI Worker solutions that plug into existing enterprise systems. - The company is aiming for a supply chain model that detects issues earlier and automates more of the work around them. - Shipwell said the next decade will focus on helping teams spend more time on decisions and less time on busy work.

The bottom line: - Shipwell’s 10th anniversary is less a retrospective than a reset: the company wants to become an AI layer on top of transportation operations, not just a better TMS.