Walmart is tightening control over how AI shopping agents and chatbots interact with its platform, introducing guidelines and restrictions that limit their ability to complete purchases or directly access checkout systems. This comes after early experiments with AI-driven shopping such as integrations with ChatGPT revealed challenges around low conversions, fragmented buying experiences, and reduced control over customer data.
Instead of allowing full automation, Walmart is shifting toward a hybrid approach, where AI assists with discovery, recommendations, and cart-building but final transactions remain within Walmart’s own ecosystem. The company is also prioritizing its in-house AI assistant, Sparky, to ensure a more controlled and personalized shopping journey.
Key highlights:
- Restrictions on AI agents completing purchases independently
- Focus on keeping checkout and transactions within Walmart
- Shift from “fully automated shopping” to assisted experiences
- Increased emphasis on Walmart’s own AI assistant (Sparky)
Why it matters:
This signals a critical shift in agentic commerce. While AI shopping assistants are gaining traction, retailers are realizing that fully autonomous purchasing raises concerns around data ownership, customer relationships, and conversion efficiency.
Walmart’s move shows that the future of AI in e-commerce will likely be controlled collaboration not full automation. Retailers want AI to drive discovery, but not replace the core buying experience.
Takeaway for sellers:
Sellers should optimize for AI-assisted discovery while maintaining strong on-platform conversion strategies. Product data, reviews, and pricing must be optimized for AI visibility but success will still depend on converting customers within the marketplace.
