Shipwell expands AI Studio with custom AI workers for shippers

Shipwell on Nov. 5, 2026 expanded its AI Studio to let transportation teams build, deploy and manage AI Workers across shipping operations. The move is meant to cut manual work in areas like settlement, track and trace and appointment scheduling while giving shippers more control over how AI fits their workflows.

Why it matters: - Shipwell is positioning AI as an operational tool for logistics teams, not just an experiment. - The expanded AI Studio lets shippers automate repetitive work and keep humans focused on higher-value decisions. - The product is available inside the Shipwell transportation platform and as a standalone option for qualifying shippers. - More information is available in Shipwell's AI Studio announcement.

What happened: - Shipwell announced a major expansion of Shipwell AI Studio on Nov. 5, 2026. - The platform now gives businesses tools to build, deploy and manage AI Workers that act across transportation operations. - Six Shipwell-certified AI Workers are available for settlement, track and trace, appointment scheduling, pricing, order building and operational insights. - Teams can deploy a certified Worker, customize one or describe a new process in plain language to build a custom Worker, often in under 10 minutes. - AI Workers operate inside the TMS and through email, SMS, Microsoft Teams and Slack.

The details: - Shipwell says teams define what each Worker knows, what it can do and when human approval is required. - The Settlement Worker uses TMS context and Document AI to streamline document processing. - The Settlement Worker can split and attach carrier invoice packets in seconds. - Shipwell says the same task previously took teams 15 to 30 minutes per batch. - AI Studio makes extracted document data searchable and available for downstream workflows. - That design is meant to reduce manual effort and improve efficiency across operations.

Between the lines: - Shipwell is leaning into customer-led product design by starting with tasks logistics teams would hand off to AI. - The company is framing AI Studio around practical work such as repetitive follow-ups, missing documents and customer- or carrier-specific process management. - CEO and Co-founder Greg Price said logistics teams need technology that understands their operations and delivers measurable ROI. - Price also said customers can build use cases themselves instead of waiting for Shipwell to design them.

What's next: - Shipwell says AI Studio is ready for use now. - Transportation teams can start with certified Workers, adapt them or build new ones for their own workflows. - The company is signaling a broader push to turn transportation expertise into configurable automation for shippers.

The bottom line: - Shipwell is trying to make AI in freight more practical, more customizable and faster to deploy.