Walmart links with Meta on an AI shopping agent aimed at helping online shoppers plan and buy

Walmart is moving to add more hands-on help to its online shopping experience with an AI “buyer assistant” that is designed to do more than recommend products. The retailer is working with Meta to integrate Muse, an AI shopping agent, into Walmart’s digital storefront, according to a report published Monday.

The concept behind an AI shopping agent, as opposed to a basic recommendation engine, is that it can take instructions in natural language and help a shopper work through a purchase plan. In Walmart’s case, Muse is described as an assistant that helps customers plan and shop, rather than simply surfacing items the user already searched for.

The collaboration is notable because Walmart competes in a market where many retailers have experimented with personalization features, but fewer have pushed toward agent-like tools that can guide the shopping workflow. If the integration performs as intended, Walmart could use Muse to reduce friction in tasks such as comparing options, narrowing choices, and assembling a shopping list that fits a user’s preferences.

For shoppers, the practical promise is faster path from intent to checkout. For the company, it can also create a richer stream of interaction data on how customers express needs and how the system steers them toward products available on Walmart’s platform. That matters in retail, where relevance and conversion depend on both catalog breadth and how well product discovery matches real-world constraints like price, delivery timing, and assortment.

Walmart’s partnership also underscores Meta’s push into “shopping” use cases for AI systems. Meta’s role, in this case, centers on Muse being the technology Walmart is integrating into its customer-facing experience. The goal is to connect AI guidance directly to commerce, which is where retail economics can be tested.

What Walmart did not disclose in the report includes the scope of the rollout. The company did not specify when Muse would be available to customers, which regions or platforms would receive it first, or what categories of shopping the assistant would prioritize. It also did not provide details on whether Muse will be offered only for certain use cases, or whether it will support a broad range of shopping tasks across departments.

The report similarly did not lay out performance metrics, such as how the company plans to measure customer satisfaction, conversion rates, or reductions in product returns attributable to better guidance. Without those disclosures, it is not possible to tell from the public reporting alone whether the rollout will focus first on exploratory pilots or move directly to broad deployment.

Still, the direction is clear: Walmart is treating AI as a layer in the shopping experience, not just a back-office tool. Over the next several months, investors and customers will likely look for clarity on availability, user controls, and how Walmart handles the accuracy and reliability of AI-driven shopping suggestions in a retail setting where products are specific and supply can vary.