By Sanjay Goradia, CEO, Santor Technologies

This year’s NRF at the Javits Center made one thing clear, retail AI has moved beyond experimentation. The focus is deploying intelligent systems that actively run parts of the business.

Across conversations with retailers, partners, and technology providers, the dominant theme was agentic commerce, AI systems that take action across inventory, supply chains, fulfillment, and customer engagement.

For years, retailers relied on dashboards and reports to guide decisions. While useful, these approaches still depended heavily on manual interpretation and delayed response.

What stood out at NRF was a shift toward AI embedded directly into operations:

• Inventory systems that automatically rebalance stock based on demand signals
• AI models that predict disruptions and adjust supply chain flows
• Personalization engines that adapt offers in real time
• Order orchestration across stores, warehouses, and digital channels

The objective is no longer insight alone. It’s speed, accuracy, and automation at scale.

Why Data Foundations Are the Real Differentiator

A consistent message emerged from retailers, AI success is constrained less by models and more by data readiness.

Most retail organizations still operate with fragmented data, POS, e-commerce, loyalty, supply chain, merchandising, and finance systems that don’t share consistent definitions or timelines. In these environments, AI systems struggle to operate reliably.

This is where Microsoft Fabric plays a critical role by unifying data across the retail ecosystem into a single, governed foundation that supports real-time analytics and AI workloads.

But unification alone is not enough.

The Importance of Fabric and Semantic Intelligence

As AI systems take on greater operational responsibility, context becomes critical. Microsoft Fabric provides a unified data foundation, while semantic intelligence embeds shared business meaning, definitions, rules, lineage, and operational context directly into that foundation.

For retailers, this ensures:

• Metrics like inventory availability, margin, and demand are consistently defined

• AI recommendations align with operational and financial realities

• Autonomous systems act within trusted, governed boundaries

Without semantic intelligence, AI may move fast, but not always correctly.

At Santor Technologies, we help retailers move from fragmented analytics to intelligent, AI-ready operations by building Fabric-first data platforms. Our focus is on simplifying data architecture, unifying data on Microsoft Fabric, and enabling governed, context-aware intelligence that supports real-time decisions and scalable AI.

We support retailers across:

• Data modernization with Microsoft Fabric

• Real-time analytics and AI enablement

• Semantic modeling and governance

• Scalable foundations for agentic and autonomous systems

The goal is practical transformation, faster decisions, better inventory accuracy, improved customer experiences, and more resilient operations.

Retailers that invest in unified data, semantic intelligence, and governed AI platforms will be best positioned to compete in an environment where speed and accuracy define success.

AI in retail has shifted from insight to action.
And that shift starts with the right data foundation.