Navo24 AI Logistics Platform Launched
The new UK-based platform integrates autonomous AI agents to normalize freight telemetry across 240 global ocean lines.
Updated on Sept. 28, 2026 in Artificial Intelligence
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WEMELOGISTICS LTD has launched Navo24, an autonomous AI platform designed to manage and normalize ocean freight logistics data. The system aggregates real-time telemetry from 240 ocean lines to optimize container movement and reduce dwell times.
Why it matters
The platform aims to reduce carbon emissions and container deadweight by improving data interoperability in global shipping. It provides a standardized interface for logistics teams to interact with complex freight data via automated AI agents.
Navo24 utilizes an open AI-MCP (Model Context Protocol) architecture to integrate with enterprise resource planning (ERP) systems. The platform adheres to ISO/IEC 27001 security standards and maintains compliance with UK GDPR and the EU Artificial Intelligence Act.
The players
WEMELOGISTICS LTD
A UK-based firm focused on building automated logistics infrastructure and AI-driven supply chain management tools.
Oleksii Shatunov
A co-founder of the Navo24 logistics platform who led the development of its autonomous freight integration system.
Stefan Rogovskiy
A co-founder of Navo24 tasked with overseeing the platform's AI-MCP logistics architecture and international market expansion.
The details
The platform leverages an autonomous intelligence ecosystem to process freight data, using the Model Context Protocol to facilitate communication between AI agents and logistics software. It features specialized modules including TrackingMCP, SchedulesMCP, LoadingMCP, and FreightRatesMCP to normalize milestones across disparate carrier systems. By aligning with Digital Container Shipping Association standards, the platform enables automated, real-time responses to shipping changes.
Timeline
Navo24 was officially launched on September 28, 2026.
The Tech Race
Navo24 positions itself within the broader movement to standardize global shipping telemetry through the Digital Container Shipping Association. By adopting the Model Context Protocol, it directly competes with legacy middleware solutions that struggle to maintain compatibility with autonomous AI agents.
Logistics operators and enterprise teams can now use the platform to automate milestone tracking and freight rate analysis. Adoption requires integration with existing ERP systems to leverage the platform's standardized AI-MCP data streams.
The takeaway
Navo24 reflects a pivot toward protocol-based autonomy in international shipping, where standardized data models are replacing manual tracking. Industry observers should monitor if the platform's reliance on DCSA standards accelerates container throughput at major global ports over the next fiscal year.
Further reading
For broader trends in autonomous logistics, see our coverage of Artificial Intelligence.
Source note: This article includes information reported by Supply and Demand Chain Executive.
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