Retail organisations are awash in signals, transactions, inventory updates, promotions, and operational events—but turning those signals into timely, business‑relevant decisions remains challenging. The issue is not data volume, but how intelligence is structured, contextualised, and activated as conditions change in real time. This session explores a systems‑level approach to retail intelligence by combining Microsoft Fabric Real‑Time Intelligence with Microsoft IQ across Operational, Analytical, and Agentic layers. Rather than focusing on individual use cases, the talk presents a layered intelligence model for designing adaptable retail decision platforms. At the foundation of this model is Fabric IQ, built on graph technology through Fabric Graph, which provides the ontology and semantic layer for representing entities, relationships, and business context across the retail domain. This graph‑based foundation enables signals—captured through Real‑Time Intelligence as both a sensing and activation layer—to be interpreted consistently across systems and time. On top of this semantic graph foundation, agent‑driven intelligence can reason over live business context and drive decisions and actions, creating a closed loop between signals, understanding, and execution. Together, real‑time streaming, graph‑based semantics, and layered intelligence form a reusable system pattern for building retail‑scale intelligence platforms without being tied to a single workflow or implementation.
