All in on Agents

I believe in the power of agentic AI to transform industries. At Walmart, it’s enhancing the way our customers shop and engage, how we run the business and how our partners work with us. We’ve been building agents—fast- for every aspect of the business.  

Once we saw how quickly teams were adopting these agents and how helpful they were, we realized agents weren’t just useful, they were essential. But we also recognized that multiple agents—even if each one is useful—can quickly become overwhelming and confusing.

So we made a deliberate choice: to go beyond individual tools and build a unified, company-wide framework—one that ensures every new agent we roll out makes life simpler and easier for everyone: for customers, for associates and for our partners.

At the center of this are four super agents—intelligent, intuitive entry points that are already beginning to reshape how people interact with Walmart.

  • Sparky, our customer shopping agent, is already live in the Walmart app, helping customers find what they need quickly and intuitively. Soon, it will power even more: reordering, seamless support and shopping that feels even more effortless.  

  • Our associate agent brings everything into one place—from schedules to sales data—saving time and letting teams focus on what matters most.

  • Our partner agent – Marty – helps suppliers, sellers, and advertisers manage onboarding, orders and campaigns—all in one streamlined space.

  • Our developer agent speeds up how we test, build, and launch—enabling innovation at scale across Walmart.

Each super agent is supported by agents—some already in use, like an agent that helps associates navigate benefits and an agent that helps merchants analyze sales trends. Over the next year, the super agents will become a more visible part of the Walmart ecosystem, even as we continue building more specialized agents that live within them—like an agent for our People team, advanced customer care agents and more.

And this is just the beginning.

We’re combining AI with breakthrough tech—like drones and real-time digital twins of our facilities—to predict and prevent issues before they happen. With geospatial data and insights from Flipkart, we plan to offer dynamic delivery windows to 95% of U.S. households by the end of this year.

This is about more than better bots. It’s about building a smarter Walmart—one that sets new standards for speed, precision and service.

We’re not just adopting the tools of the future—we’re shaping them, leading with them and putting them to work for our customers, our partners and one another.

Gaurav Chopra

Tarpo Professor of Chemistry, Computer Sci, Drug Discovery at Purdue University | Director, Merck-Purdue Center | MIND Lab Research: Neuroimmunology, Artificial Intelligence, Targeted Drugs | co-founder Meditati Inc.

17h

This is so wonderful that Walmart is choosing to do this with Suresh Kumar leadership. The hierarchical manager-task-specific agent framework is what we pioneered in early days at BrainGnosis Inc. One of the most important aspect of agentic framework is reliability of tasks, agentic decisions, actions and management of context specific memory and state at-scale for enterprises — which we have been developing and deployed a full tech stack for our clients. This leads to context specific determination of endpoints (tools, data, or even identification of agents) without prompt engineering while incorporating reliability for soecified tasks. Would love to talk and show a demo. Website— https://xmrrwallet.com/cmx.pbraingnosis.com

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Lauren Castle, PharmD, MS, AFMC

Functional Medicine Pharmacists Alliance - Founder | Psychedelic Pharmacists Association - Board Member 💊🌿👩🏻⚕️🍄🧬

19h

Cheng Ruan, MD check this out 👀 agents!

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Ryan Johnson

AI Accessibility Developer & Productivity Strategist | Open Source AI-Staff-HQ Creator

1d

I wish I could be a fly on the wall during your AI development meetings. Reading this made me one proud AI obsessed Arkansan! https://xmrrwallet.com/cmx.parxiv.org/abs/2506.21931

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