RELEX Solutions introduced RELEX Open, an architecture for its AI-native platform that gives retailers, manufacturers, and wholesalers three clear ways to accelerate AI adoption: deploying proven planning capabilities at scale, connecting their own AI agents and systems to RELEX, and extending capabilities directly on the platform into new operational areas of their business.
“AI is reshaping how enterprise software gets built, bought, and used. The question is no longer build or buy. It’s how fast you can build on the right foundation,” says Mikko Kärkkäinen, group CEO and co-founder, RELEX Solutions. “RELEX Open gives companies a proven foundation they can deploy immediately, with the ability to extend the platform to support the capabilities that differentiate their business without starting from scratch.”
Key takeaways:
· RELEX Open builds on two decades of domain expertise and a shared data foundation shaped by more than 700 customers.
· RELEX Open supports forecasting, replenishment, merchandising, promotions, and manufacturing planning capabilities, already validated by more than 700 customers worldwide, configured to each business without custom development.
- External AI agents and enterprise systems connect to RELEX through open protocols and Model Context Protocol (MCP), enabling real-time, bidirectional interaction. RELEX will both call external agents and be called by them, and can orchestrate workflows across systems or operate within orchestrations defined by other platforms, ensuring decisions and actions are aligned on a shared, consistent data foundation. This allows users to interact with RELEX through their preferred AI tools or bring RELEX data and decisions into their own AI environments.
- Teams can build new capabilities on the RELEX platform to expand beyond traditional planning into adjacent, high-value use cases, using its extensibility framework to create data models, algorithms, workflows, and user experiences in hours rather than months.
- All three approaches run on the same platform and can be used together, depending on each organization’s needs, with governance and control built in. Every decision, whether made by an AI agent, a model, or a human planner, follows the same business rules and is fully traceable. Organizations define their level of automation, with the ability to review, adjust, or reverse decisions at any point.
