Retail AI is no longer just an idea—it’s now powering real, in-store experiences that are fast, intuitive, and responsive to shoppers’ needs. By moving intelligence to the edge, retailers can deliver conversational assistance and seamless interactions right where they matter most: on the store floor, close to customers and employees.

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Retail AI is moving from cloud-centric architectures to edge deployments, enabling real-time, in-store experiences without latency or connectivity issues. At NRF's Big Show, Cisco demonstrated this with a holographic AI assistant powered by Cisco Unified Edge, Intel Xeon 6 processors, and a retail-focused small language model from Arcee AI — running inference locally on-site. Retailers surveyed at the event want turnkey, reliable AI that supports short-staffed teams, handles multilingual interactions, and integrates with existing store systems without adding operational complexity. The case is made for platform-based edge infrastructure that simplifies Day 0 deployment through long-term operation.

When Retail AI Meets the Store Floor

A Glimpse of Retail AI Where It Actually Happens

Why Platform Thinking Matters at the Edge