Shipwell named to 2027 FreightWaves FreightTech 100 as transportation moves from visibility to action. Customers automate freight decisions, control cost, and cut manual work with Shipwell's AI earning their spot on the 2027 FreightWaves FreightTech 100. AUSTIN, TX - [September 24, 2026] - Shipwell, developers of the leading AI transportation platform, has been named to the 2027 FreightWaves FreightTech 100. Selected from hundreds of nominations by a panel of industry experts and FreightWaves editors, the award recognizes companies actively changing how freight moves. For Shipwell, that means building on a premise the freight industry has largely left unaddressed: visibility alone doesn't move freight, but taking action does. Transportation technology has operated on the same model of data collection, creating alerts, and handing work back to logistics teams. Shipwell's AI transportation platform is designed to close the gap between knowing what's happening in a freight operation and doing something about it, with AI that monitors, interprets, and executes on behalf of the teams running it. "Most transportation technology was built to give freight teams better information," said Greg Price, CEO and Co-Founder of Shipwell. "We're building something different. A platform where AI doesn't just report what's happening, it handles it. The FreightTech 100 recognition reflects the work our team has put into making that real for customers, not just on a roadmap." The approach is already changing day-to-day transportation operations. At Airlite Plastics, a team that previously spent four to five hours each day chasing carrier updates now spends about one, with Shipwell automating approximately 98% of shipment updates. Across the platform, 41% of Shipwell customers actively use AI in daily transportation operations, with some automating up to 80% of freight decisions, saving more than 750 hours annually, and avoiding over $500,000 in transportation costs. That shift is happening alongside significant momentum for Shipwell. The company posted 30% year-over-year revenue growth in 2025, while managed freight spend increased 107% and monthly shipment volume grew 55%. In 2026, the company earned a sixth consecutive placement in the Gartner(R) Magic Quadrant(TM) for Transportation Management Systems, was selected as Transport Management Platform of the Year by SupplyTech Breakthrough, and was named to the Inbound Logistics Top 100 Logistics and Supply Chain Technology Providers list. The 2027 FreightTech 100 is the latest recognition of that momentum. The system of record had its era. The system of action is what comes next. Contact. Carolyn Wilson Director of Marketing [email protected] Sign up and be first to hear about new product launches, milestones and more from Shipwell.

Shipwell, a transportation management solutions provider, has launched the first production-grade Model Context Protocol server for the logistics industry, enabling AI assistants to securely access real-time data from its Transportation Management System. The MCP Server bridges what Shipwell calls the "context gap", allowing AI tools to connect directly to live operational data including shipments, carriers, contracts, invoices and dock schedules. This enables logistics teams to receive instant, data-backed answers to complex operational questions and identify risks and cost discrepancies faster. The platform also offers technology partners a faster integration path, reducing development time from months to days. The enterprise-ready solution includes robust security controls and is compatible with AI frameworks from Anthropic, OpenAI and Google. The MCP Server is available now in both production and sandbox environments.

Shipwell bridges real-time data and logistics workflow gap with first production-grade MCP Server for AI assistants. A look at how a User's AI assistant connects to Shipwell's MCP server to access their operational ecosystem data. Shipwell's MCP Server provides AI assistants secure, real-time TMS access to automate workflows and synchronize worldwide supply chain data. By launching this MCP Server... customers can plug Shipwell & our APIs directly into their most critical internal workflows & systems, allowing their own AI assistants to use the same real-time data" - Greg Price, CEO & Co-founder of Shipwell AUSTIN, TX, UNITED STATES, May 13, 2026 /EINPresswire.com/ - Shipwell, a leader in AI-integrated transportation management solutions, today launches its Model Context Protocol (MCP) Server-a new AI-native integration layer that allows AI assistants (LLMs) to securely connect to and operate across its Transportation Management System (TMS). Shipwell is the first TMS provider to launch a production-grade MCP Server, turning fragmented logistics data into a real-time foundation where customers and partners can build, extend, and automate workflows with AI. Closing the Context Gap for AI in Logistics As enterprise adoption of AI increases, most AI tools remain disconnected from the systems that power real-world organizations, creating a context gap. While they can generate insights, they often lack access to live operational data-limiting their ability to support decision-making in logistics and supply chain environments. The Shipwell MCP Server addresses this challenge by providing a standardized bridge built for AI, giving LLMs direct access to live transportation data, including shipments, carriers, contracts, invoices, and dock schedules. "We didn't build MCP as another integration layer-we built it as the foundation for how AI interacts with logistics systems going forward," said Charles Dickerson, VP of Engineering at Shipwell. "This gives both customers and partners a faster, more reliable way to build on top of real transportation data." Key Capabilities for Logistics Leaders By connecting AI assistants directly to operational systems using Shipwell's MCP Server, logistics teams can: - Access real-time shipment, carrier, and financial data through a single entry point - Ask complex operational questions and receive instant, data-backed answers - Identify risks, delays, and cost discrepancies faster for better decision-making This capability allows organizations to transition from reactive workflows to proactive, AI-driven execution. "At Shipwell, we've already proven the power of AI-driven logistics through our AI Studio and AI Workers, which currently automate thousands of complex tasks across our platform. By launching this MCP Server, we are taking that same production-grade intelligence and making it portable. Our customers can now plug Shipwell and our APIs directly into their most critical internal workflows and systems, allowing their own AI assistants to leverage the same real-time data and automation logic that powers our own ecosystem," said Greg Price, CEO & Co-founder of Shipwell. A New Model for Technology Partners The Shipwell MCP Server also introduces a new integration model for technology partners building AI-powered supply chain solutions. Instead of relying on traditional APIs that require extensive development and maintenance, partners can integrate once using MCP and immediately gain access to a comprehensive set of transportation capabilities through structured tools. This enables partners to: - Build AI-powered logistics applications in days, reducing time to market - Develop cross-platform workflows that span TMS, ERP, and WMS systems - Deliver new product experiences powered by real-time transportation data The MCP framework also supports multi-system AI workflows, allowing partners to combine their own MCP-enabled systems with Shipwell's in a single AI assistant-eliminating the need for middleware or data synchronization. Enterprise-Ready Security and Scalability The Shipwell MCP Server is designed for enterprise use, with robust security and governance controls built in. Data access is tenant-scoped, permissions are enforced server-side, and all interactions follow the same authentication model as Shipwell's existing API infrastructure. The platform is compatible with leading AI frameworks and models, including those from Anthropic, OpenAI, Google, and other providers, allowing customers and partners to build within their preferred ecosystems. Available Now The Shipwell MCP Server is available today, with both production and sandbox environments supporting rapid onboarding, testing, and development. Customers can begin leveraging AI assistants to access and analyze their transportation data immediately, while partners can build and deploy AI-powered logistics workflows with significantly reduced integration effort. Carolyn Wilson Shipwell +1 217-515-2467 email us here Legal Disclaimer: EIN Presswire provides this news content "as is" without warranty of any kind. We do not accept any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you have any complaints or copyright issues related to this article, kindly contact the author above.