How agentic AI stole the show at NRF

By Ed Durbin
0 min read

NRF brought together the brightest minds and most prominent players in the retail industry—again—all ready to explore the latest trends and technologies. It was great to connect, collaborate, and discover innovative solutions to elevate customer experiences. I had the privilege of engaging with a diverse group of retail leaders and hearing their perspectives on the industry’s challenges and opportunities. Every retailer was eager to learn about and share best practices for leveraging AI to drive business growth. Their interest in AI is not only for the sake of innovation but for real, actionable benefits that align with their business objectives. From reducing operational costs to improving customer experiences, AI is expected to deliver measurable outcomes.
While AI was a dominant theme throughout the conference, one term in particular cut through the noise—agentic AI. What sets it apart, and how will it redefine how retailers approach customer experience and workforce optimization? Moving from basic automation and rule-based systems to empower AI to act with greater autonomy and intelligence, agentic AI can understand complex situations, anticipate needs, and proactively engage with customers in a truly personalized way. Agentic AI understands natural language, eliminating the need for elaborate prompt engineering, allowing customers to interact with the AI agent using everyday language, just as they would with a human assistant. What a turning point for retailers seeking to create memorable customer experiences! An AI-powered system that not only answers customer queries but anticipates their next steps, offers relevant recommendations, and proactively resolves issues.
Agentic AI unlocks smarter conversations.
The implications of agentic AI for retail are huge. Think of a highly skilled personal shopper assistant for every single customer. Imagine a customer shopping to decorate a living room and asking the AI assistant, “I just bought a 3-bedroom home and would like to furnish the living room.” Instead of simply showing generic living room sets, the AI assistant considers the home’s style, square footage, the customer’s past purchases, budget, and even lifestyle (do they have children or pets?). Then, it curates a personalized selection of furniture, including sofas, chairs, coffee tables, and rugs that perfectly complement the customer’s needs and aesthetic. It might even suggest wall art or lighting to complete the look. The customer doesn’t just get a list of products; they receive a cohesive design plan tailored to their specific requirements, making the furnishing process effortless and enjoyable. This is the power of hyper-personalized customer service in retail.
This seamless blend of personalization and proactivity is at the heart of agentic AI. It creates conversational experiences that feel intuitive, effortless, and truly tailored to each customer to foster deeper connections with and create more engaging shopping journeys.

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