From Experiments to Agentic AI Retail Strategies
Major retailers are rapidly embracing agentic AI retail systems that move far beyond simple FAQ bots. These new retail AI agents act as AI shopping assistants that guide product discovery, simplify decision-making, and increasingly connect into supply chain and advertising workflows. Executives describe a shift toward becoming “AI native,” where customer experience AI and operational AI share the same data backbone. In practice, that means conversational interfaces that understand intent, history, and context, while autonomous services optimize how inventory is positioned, how orders are fulfilled, and how ad campaigns are tuned. Retailers are combining first-party data, product catalogs, and behavioral signals to deliver personalized journeys at scale. The result is a new generation of AI shopping assistant experiences that can recommend products, plan purchases, and execute behind-the-scenes decisions — positioning AI agents as both digital sales associates and operational copilots across the retail enterprise.
Walmart’s Sparky: Higher AOV and Rapid Usage Growth
Walmart’s Sparky illustrates how deeply integrated retail AI agents can move the sales needle. Leadership says Sparky’s intelligence and response quality have improved by 40% this year, driving weekly active users up more than 100% in the latest quarter. Customers who shop with the Sparky AI shopping assistant show an average order value about 35% higher than those who do not use it, signaling that more guided, personalized journeys translate directly into larger baskets. Sparky is now woven through Walmart’s ecommerce site, mobile app, and stores, supporting use cases from general merchandise discovery to everyday essentials like food and consumables. New capabilities such as personalized replenishment, meal planning, and smarter recommendations based on inventory positioning, price, and delivery speed are helping units purchased through Sparky more than quadruple quarter over quarter. In parallel, Walmart is applying AI to fulfillment and advertising, dynamically optimizing campaigns and elevating ecommerce growth.
Coach by DICK’S: Turning an App into a Digital Training Floor
DICK’S Sporting Goods is pushing customer experience AI into coaching territory with Coach by DICK’S, an agentic AI conversational experience embedded in its mobile app. Rather than focusing solely on transactions, the AI shopping assistant aims to accompany athletes across their sports journeys, offering tailored product recommendations, training guidance, and equipment education. Built on Adobe Brand Concierge and DICK’S proprietary sport expertise, Coach adapts to each athlete’s sport, goals, interests, and preferences in real time. It surfaces training "Pro Tips" and guidance related to gear and services, effectively extending in-store expertise into a persistent digital channel. Executives frame the initiative as a way to scale what makes the brand distinctive — knowledgeable people, a strong point of view on sport, and a trusted, personal feel. The rollout begins within the DICK’S app in June, with additional agentic AI retail capabilities planned for future updates.
Beyond Chat: Connecting AI Agents to Supply Chain and Advertising
What distinguishes today’s retail AI agents from earlier chatbots is their growing connection to core operations. At Walmart, AI is helping position inventory more intelligently, make faster fulfillment decisions, and serve customers in real time. Those same data and decision engines underpin Sparky’s recommendations, which account for inventory availability, pricing, and delivery speeds when suggesting products or planning meals. On the marketing side, customer experience AI increasingly overlaps with advertising systems. Walmart, for example, is layering AI into its ad-buying toolkit so advertisers can dynamically adjust content mix and expand reach across connected TV platforms, supporting ad revenue growth north of 30%. Across the sector, retailers are also exploring AI-driven inventory management and automation pilots. Together, these moves show agentic AI retail strategies evolving into integrated ecosystems, where conversational interfaces sit on top of intelligent logistics, merchandising, and media optimization engines.
The New Retail Playbook: Personalization Plus Operational Intelligence
Taken together, Sparky and Coach highlight a new retail playbook built on retail AI agents that unify personalization and operational intelligence. On the front end, customers engage natural-language AI shopping assistants that understand goals, preferences, and context, whether they are planning weekly groceries, exploring sports gear, or seeking coaching advice. On the back end, the same AI fabric increasingly influences how inventory is allocated, how orders are fulfilled, and how advertising is orchestrated. This convergence helps lift metrics such as average order value, unit volume, and engagement while also improving efficiency and speed. As agentic AI retail systems mature, retailers are moving from isolated pilots to end-to-end experiences that can learn and adapt over time. The competitive advantage will hinge on how well each brand fuses its unique expertise and content with trustworthy, responsive AI — turning every interaction into both a service moment and a data-driven optimization opportunity.