What Agentic AI Means for the Next Era of Retail
Agentic AI retail describes a new model of commerce in which autonomous AI shopping assistants plan, compare, and execute purchases across channels on behalf of consumers, dynamically coordinating product discovery, recommendations, payments, and fulfillment decisions end-to-end. This shift, often called AI agent commerce or agentic commerce, moves retailers from static catalogs and keyword search to conversational and task-driven journeys in which agents interpret intent and orchestrate the entire path to purchase. A joint report from Salesforce and Publicis Sapient projects that AI agent-orchestrated commerce could generate between $3 trillion and $5 trillion in global revenue by 2030, compressing what might once have been a decade of retail change into just a few years. As AI shopping assistant usage surges and traffic from generative browsers climbs, retail AI adoption is quickly becoming a competitive necessity rather than an experiment.
Walmart’s Sparky: AI Shopping Assistant With Measurable Sales Impact
Walmart’s Sparky AI shopping assistant offers an early look at how agentic AI retail can change customer behavior and performance metrics. CEO John Furner says Sparky is central to Walmart “becoming AI native,” with weekly active users more than doubling in the most recent quarter and Sparky’s intelligence and response quality improving by 40% this year. Customers using the AI agent commerce experience show an average order value about 35% higher than non-users, a clear sign that conversational guidance and personalized shopping experience features like meal planning and personalized replenishment are lifting baskets. Sparky now spans ecommerce, the mobile app, and physical stores, where shoppers can use it to reorder repeat items or get tailored recommendations informed by inventory positioning, prices, and delivery speed. This tight link between the AI shopping assistant and real-time supply chain decisions hints at how agentic systems can drive both front-end sales growth and back-end efficiency.
From Shoppers to Athletes: DICK’S Turns Agentic AI Into a Digital Coach
While some retailers focus on general shopping agents, DICK’S Sporting Goods is positioning agentic AI as a long-term training partner. Coach by DICK’S, an AI-powered conversational experience inside the retailer’s mobile app, is designed to guide athletes across their sports journeys rather than only assist with transactions. Built with Adobe Brand Concierge and DICK’S proprietary sport knowledge, the AI shopping assistant offers tailored recommendations, training guidance, product education, and ongoing support based on each athlete’s sport, goals, and preferences. This approach aims to extend in-store expertise into a digital, always-on Coach that adapts to behaviors and shared input in real time. As capabilities expand, Coach is expected to deepen loyalty by tying product suggestions to training tips, helping athletes choose equipment and services with more confidence while creating a differentiated, personalized shopping experience that goes beyond typical retail AI adoption patterns.
AWS and Amazon Push Agentic Shopping Infrastructure to the Mass Market
The agentic AI retail race is not limited to individual brands; cloud platforms are moving to supply the underlying infrastructure. Amazon Web Services has introduced the AWS Agentic Shopping Assistant, built on the same technology that powers Alexa for Shopping on Amazon.com. According to AWS, the internal assistant drove nearly $12 billion in incremental sales last year, and now outside retailers can deploy similar AI shopping assistant capabilities in about 60 days. The tool allows retailers to create branded agents that converse with shoppers, answer product questions, and provide recommendations tuned to each catalog and set of business rules. AWS says retailers keep control of their data, even as Amazon’s retail arm competes with them. Early adopters such as Kate Spade are already using the AI agent commerce platform as a gift concierge, underscoring how third-party infrastructure could accelerate retail AI adoption across the sector.
How Retailers Are Rebuilding Operations for Agentic Commerce
Behind the front-end chat interfaces, early adopters are reworking operations so AI agents can act reliably on customers’ behalf. Walmart reports using AI not only in Sparky but across its supply chain to position inventory, make fulfillment decisions, and serve customers in real time, aiming to “fulfill in the very best way possible” on top of recent logistics investments. Publicis Sapient and Salesforce argue that agentic commerce will force retailers to optimise experiences for both humans and AI agents, calling it a structural shift in how demand is created and captured. Their A.C.E. Framework emphasizes agent-ready discovery, data, and orchestration. In parallel, brands like DICK’S are integrating proprietary content so their AI systems can offer credible guidance, while AWS packages Amazon’s own architecture for broader retail AI adoption. Together, these moves show retailers treating AI agents as core commercial actors, not add-on chatbots.
