Agentic AI Becomes Retail’s New Growth Engine
Retail AI agents are autonomous, conversational systems embedded in shopping channels that can understand intent, recommend products, and trigger actions across ecommerce, stores, and supply chains, enabling retailers to deliver real-time personalization, automate decisions, and drive measurable sales growth with minimal manual intervention at each step of the customer journey. Major retailers are transitioning from basic chatbots to agentic commerce technology that can handle complex tasks such as replenishment, guided discovery, and order optimization. This shift underpins a new conversational retail experience where AI shopping assistants learn from behavior, first‑party data, and inventory signals to adapt recommendations in real time. At the same time, these agents connect to fulfillment and merchandising systems, so suggestions align with stock levels, pricing, and delivery options. Together, these capabilities are moving AI from a support tool to a core driver of AI‑driven sales growth across digital and physical channels.
Walmart’s Sparky: From Chat Agent to Revenue Driver
Walmart describes itself as “becoming AI native,” with its Sparky AI agent at the center of that strategy. Sparky spans the retailer’s ecommerce site, mobile app, and stores, supporting conversational retail experiences for product discovery, meal planning, and everyday essentials. Walmart CEO John Furner said weekly active users of Sparky rose more than 100% in the last quarter, while Sparky’s intelligence and response quality improved by 40% this year. Customers who shop with Sparky show an average order value about 35% higher than non‑users, a clear sign that retail AI agents can lift basket size and unit volume. Walmart has also expanded Sparky to support automatic reorders and Spanish language conversations, widening its reach. Behind the scenes, Walmart uses AI to position inventory and make faster fulfillment decisions, so Sparky’s recommendations reflect real‑time stock, pricing, and delivery speed.
DICK’S Coach: Turning Shopping Into Digital Training Support
DICK’S Sporting Goods is using agentic commerce technology to merge product discovery with athlete development. Coach by DICK’S, an AI shopping assistant inside the retailer’s mobile app, offers tailored guidance based on sport, goals, and preferences rather than basic Q&A. Built on Adobe Brand Concierge and DICK’S proprietary sport knowledge, Coach supports natural‑language conversations, product recommendations, and access to “Pro Tips” on training and equipment. The aim is to extend the in‑store expertise of associates into a continuous, conversational retail experience that follows athletes through their full journey. According to the company, the AI‑powered Coach adapts in real time as athletes share more input and will expand in capability over time. This positions retail AI agents as ongoing digital coaches that improve confidence in purchase decisions while maintaining brand‑safe guidance grounded in approved content, not open‑web information.
Amazon’s Agentic Shopping Tech Becomes a Service
Amazon is pushing its agentic commerce technology beyond its own marketplace through the AWS Agentic Shopping Assistant, an AI shopping assistant that outside retailers can deploy on their ecommerce sites. The system runs on the same core technology as Alexa for Shopping on Amazon.com, which Amazon says drove nearly USD 12 billion (approx. RM55.2 billion) in incremental sales last year. Retailers can configure assistants that talk with shoppers, answer detailed product questions, and recommend items tied to their specific inventory and brand rules, with AWS claiming setup can be done in about 60 days. Early adopters include Kate Spade’s parent company Tapestry, which built an AI gift concierge that asks about the occasion, recipient, and style before suggesting products. As Accenture estimates that more than 30% of online commerce could run through AI agents by 2030, Amazon’s move raises competitive questions but also lowers the barrier for retailers to offer advanced agentic experiences.
The Next Phase: From Conversations to End‑to‑End AI Journeys
Across Walmart, DICK’S, and Amazon’s cloud customers, a pattern is emerging: retail AI agents are shifting from simple conversational tools to orchestrators of end‑to‑end shopping journeys. They power real‑time personalization by mixing first‑party data, behavioral signals, and rich product catalogs to suggest the right items, content, and services in context. They also improve operational efficiency, since recommendations can account for fulfillment costs, inventory positioning, and delivery speed in the background. As more retailers experiment with AI shopping assistants that guide discovery, handle replenishment, and support post‑purchase questions, agentic commerce technology starts to reshape merchandising and advertising decisions as well. The winners are likely to be retailers that treat these agents as evolving digital staff: trained on brand‑safe knowledge, connected to core systems, and measured against clear outcomes such as AI‑driven sales growth, higher average order value, and better customer satisfaction.
