Walmart Bets on AI Super Agents to Boost E-commerce Growth
Aiming for 50% e-commerce revenue in 5 years, 40% quicker support, and proactive everything. Retail's AI era just leveled up.
Walmart unveiled plans in July 2025 to roll out a suite of AI-powered “super agents” as part of a unified, company-wide AI framework.
This initiative consolidates dozens of fragmented AI tools into four comprehensive super agents powered by agentic AI (the next evolution of generative AI, enabling autonomous decision-making and task completion with minimal human input).
The goal is to make these super agents the primary interface for interacting with Walmart, enhancing the shopping experience for customers while streamlining operations across the business.
The four super agents target key stakeholder groups:
- Sparky (customer-facing super agent): Already available in a basic form on the Walmart app (launched around June 2025), it currently offers product suggestions (e.g., for athletic activities), ink/printer matches, and product review summaries. As a super agent, it will evolve to handle more complex, proactive tasks like reordering items, planning events (e.g., a “unicorn-themed party”), providing always-on support, delivering effortless shopping, and even using computer vision to suggest recipes based on scanning a shopper’s fridge contents.
- Associate agent (for store employees and associates): This centralizes tools for tasks like shift planning (reducing time from 90 minutes to 30 minutes in pilots), accessing workforce data insights, handling benefits questions, and other internal processes to make store operations more efficient.
- Marty (partner super agent for suppliers, sellers, and advertisers): It streamlines onboarding, order management, catalog handling, campaign setup, and ad creation. This has expanded into retail media features (e.g., via Walmart Connect), with advertising assistants and tools that speed up workflows and provide data-driven insights.
- Developer agent (sometimes referred to as Wibey): This serves software developers and tech teams by unifying access to tools for testing, building, and launching AI innovations faster, accelerating internal development cycles.
Over the following year (into 2026), Walmart planned to add more specialized sub-agents within these super agents (e.g., advanced customer care, HR-specific tools, or people team support), making them increasingly visible and integral to the Walmart ecosystem.
The company combines these with other technologies like drones, real-time digital twins of facilities, and geospatial data to predict/prevent issues, optimize delivery (aiming for three-hour delivery to 95% of U.S. households), and drive broader efficiencies—such as cutting customer support resolution times by up to 40%, shortening fashion production timelines by up to 18 weeks, and minimizing operational friction.
This strategy supports Walmart’s ambition to grow e-commerce significantly (targeting online sales as 50% of total revenue within five years) by making interactions more intuitive, personalized, and proactive. It positions AI as a core driver for both customer satisfaction and behind-the-scenes operational streamlining, with ongoing expansions (including partnerships like with Google Gemini for agent-led shopping in 2026) building on this foundation.
