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RELEX Solutions

About

RELEX Solutions is an AI-native planning platform with strong relevance for retail, grocery, wholesale and consumer goods environments. For the Dataleo Radar audience, RELEX is practical because it connects forecasting, replenishment, pricing, merchandising and supply chain planning to store, DC and customer-facing outcomes.

RELEX is relevant to Retail Planning, demand forecasting, replenishment, inventory planning, pricing, promotion planning, merchandising, fresh-food planning, production planning and end-to-end supply chain planning. It is especially strong where availability, waste, margin and execution speed must be managed together.

The AI lens includes machine learning, optimization, generative AI and agentic AI capabilities for intelligent planning and autonomous decision support. In retail and grocery, the practical value is not only better forecasting but better decisions on replenishment quantities, promotion effects, fresh waste, inventory placement and price actions.

Public customer references include Supermercados Bravo, KICKS / Matas Group, The Vitamin Shoppe and Morrisons across RELEX customer materials. These references illustrate the platform’s relevance for retailers managing high SKU volumes, store-level complexity, promotions and volatile demand.

The strongest fit is retail and consumer goods organizations where planning decisions directly affect waste, availability and margin. The governance challenge is autonomy: replenishment and pricing decisions can move quickly, so companies need clear override rules, exception handling and measurable impact tracking.

Dataleo perspective

RELEX Solutions is one of the clearest retail-planning entries in the Supply Chain AI landscape. Its relevance comes from connecting AI to practical store, DC, merchandising and replenishment decisions.

The Dataleo lens is controlled autonomy. RELEX can support faster and more granular planning decisions, but companies need strong AI Governance around pricing, replenishment, override logic, waste reduction and availability impact.

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