Agentic Commerce Moves From Hype to Trillion-Dollar Forecasts
Retail is entering an agentic commerce era, where AI agents actively orchestrate shopping journeys rather than simply powering recommendations. A new whitepaper from Publicis Sapient and Salesforce projects that AI agent-orchestrated commerce could generate between $3 trillion and $5 trillion in global revenue by 2030. This shift is already visible in consumer behavior: almost half of users who have tried AI-powered search now prefer it as their primary source, and platform agents such as ChatGPT handle hundreds of millions of shopping-related queries every week. Traffic to retail sites from generative AI browsers and chat services has surged, signaling that AI agents are quickly becoming a new layer between shoppers and brands. For retailers, this is not a marginal channel but a structural change in how demand is created, captured, and converted, forcing a rethink of commerce architecture and data strategy.
Walmart’s Sparky Shows How AI Agents Can Lift Sales in Practice
Walmart offers one of the clearest examples of AI agents reshaping enterprise commerce. CEO John Furner describes the company as “becoming AI native,” with its Sparky shopping agent at the center of that shift. Sparky is now embedded across Walmart’s ecommerce site, mobile app, and stores, helping customers discover products, plan meals, and manage personalized replenishment. Weekly active users of Sparky more than doubled in the last quarter, while its intelligence and response quality improved by 40% this year. Crucially for AI-driven sales growth, customers using Sparky have an average order value around 35% higher than non-users, and units purchased through the agent have more than quadrupled since the previous fiscal quarter. As Sparky expands beyond general merchandise into everyday essentials and supports features like automatic reordering and Spanish-language assistance, it demonstrates how AI agents can both deepen engagement and materially expand basket size.
From Front-End Assistance to Deep Supply Chain and Fulfillment Decisions
AI agents in retail are no longer confined to customer-facing chat interfaces. Walmart is using AI to guide inventory positioning, fulfillment decisions, and real-time service to customers and members, layering agentic intelligence onto a supply chain it has been upgrading for years. These systems help determine where to hold stock, how to route orders, and which delivery options to surface, effectively allowing AI to orchestrate the operational backbone behind every cart. This mirrors the broader industry direction described in the agentic commerce report, where agents plug into existing APIs, payment systems, and fulfillment networks rather than waiting for new devices or channels. As retailers connect agents more deeply into logistics, merchandising, and pricing, they move from isolated pilots to end‑to‑end enterprise commerce transformation, with AI mediating both what the customer sees and how the organization responds operationally.
Advertising, Data, and the Rise of AI as a Retail Power Broker
Agentic AI is also changing how retailers monetize audiences and optimize marketing. Walmart reports that AI tools in its advertising offering are helping brands dynamically adjust content mix to improve campaign performance and expand reach, including through its Vizio connected TV platform, acquired for about USD 2.3 billion (approx. RM10.6 billion). Advertising revenue grew 37% globally in its latest quarter, with strong U.S. performance, and was one of three main drivers of ecommerce growth alongside the online marketplace and store-fulfilled delivery. The Publicis Sapient–Salesforce whitepaper argues that to fully capture this opportunity, retailers must optimize not only for human shoppers but also for platform agents, brand-owned agents, and personal consumer agents. That demands richer product data, clean attribution, and robust enterprise context orchestration so that AI systems can confidently recommend, advertise, and transact on behalf of consumers.
Winning the Two-to-Three-Year Race to Become Agent-Ready
According to Salesforce and Publicis Sapient, agentic commerce is compressing what would historically be a decade-long transformation into just two to three years. Because AI agents operate on top of existing digital infrastructure, the barrier to consumer adoption is low—and the risk of inaction for retailers is high. The whitepaper introduces the A.C.E. Framework: designing agentic experience interfaces so products are discoverable by agents; exposing capabilities via composable micro-apps; and orchestrating enterprise context, including data, security, and compliance. It also highlights the Universal Commerce Protocol, backed by major payments and retail players, as an emerging standard for AI agent transactions. Yet research shows most generative AI initiatives still fail to deliver measurable impact. Walmart’s progress with Sparky illustrates what success can look like: targeted use cases, tight workflow integration, and a clear path from pilot to scaled business outcomes.