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Walmart is Betting on AI Agents, While Amazon Goes Proprietary

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Manage episode 483746394 series 3619202
Content provided by Kiri Masters. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kiri Masters or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Last week the Wall Street Journal reported that Walmart is building its own shopping agents for tasks like reordering groceries and handling requests like "plan a unicorn-themed party for my daughter." I walk through the key details: how Walmart is developing agent-to-agent protocols, preparing for interoperability with third-party agents, and recognizing that agent shopping is fundamentally different from human shopping.

How This Connects to Other AI Developments

I compare Walmart's open ecosystem approach to Amazon's walled garden strategy. While Amazon blocks other AI agents to develop their own suite (Alexa+, Buy For Me, Rufus), Walmart is preparing to work with both their own agents and third-party ones. I explain two key open standards - Google's Agent to Agent protocol and Anthropic's Model Context Protocol - that could enable this interoperability.

Industry Reactions

I share perspectives from industry experts, including Eric Heller's point about the importance of complete product detail pages and Bryan Gott's question about whether consumers actually want AI help. I discuss why cohort data matters more than individual reactions and explain the difference between underwhelming retailer chatbots and effective AI collaboration tools.

My Analysis and Outstanding Questions

I explore several key questions: What happens to Sponsored Product Ads when agents do the shopping? What's the opportunity cost for retailers building proprietary assistants versus preparing for third-party integration? How will site performance become competitive as agent traffic creates new load patterns?

I conclude that the winners won't be retailers with the flashiest AI features, but those who make it seamless for both humans and bots to do business with them.

Chapters:
00:00:00 - Breaking News: Walmart's AI Shopping Agent
00:00:17 - Introduction to Retail Media Breakfast Club
00:00:38 - Walmart's AI Shopping Agent: Key Takeaways
00:03:01 - Comparing Walmart and Amazon's AI Strategies
00:04:45 - Technical Insights: Open Standards and Protocols
00:05:58 - Industry Perspectives on AI Shopping Agents
00:08:06 - Final Thoughts and Conclusion

Subscribe to Retail Media Breakfast Club's daily newsletter

Follow Kiri on LinkedIn

  continue reading

99 episodes

Artwork
iconShare
 
Manage episode 483746394 series 3619202
Content provided by Kiri Masters. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kiri Masters or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Last week the Wall Street Journal reported that Walmart is building its own shopping agents for tasks like reordering groceries and handling requests like "plan a unicorn-themed party for my daughter." I walk through the key details: how Walmart is developing agent-to-agent protocols, preparing for interoperability with third-party agents, and recognizing that agent shopping is fundamentally different from human shopping.

How This Connects to Other AI Developments

I compare Walmart's open ecosystem approach to Amazon's walled garden strategy. While Amazon blocks other AI agents to develop their own suite (Alexa+, Buy For Me, Rufus), Walmart is preparing to work with both their own agents and third-party ones. I explain two key open standards - Google's Agent to Agent protocol and Anthropic's Model Context Protocol - that could enable this interoperability.

Industry Reactions

I share perspectives from industry experts, including Eric Heller's point about the importance of complete product detail pages and Bryan Gott's question about whether consumers actually want AI help. I discuss why cohort data matters more than individual reactions and explain the difference between underwhelming retailer chatbots and effective AI collaboration tools.

My Analysis and Outstanding Questions

I explore several key questions: What happens to Sponsored Product Ads when agents do the shopping? What's the opportunity cost for retailers building proprietary assistants versus preparing for third-party integration? How will site performance become competitive as agent traffic creates new load patterns?

I conclude that the winners won't be retailers with the flashiest AI features, but those who make it seamless for both humans and bots to do business with them.

Chapters:
00:00:00 - Breaking News: Walmart's AI Shopping Agent
00:00:17 - Introduction to Retail Media Breakfast Club
00:00:38 - Walmart's AI Shopping Agent: Key Takeaways
00:03:01 - Comparing Walmart and Amazon's AI Strategies
00:04:45 - Technical Insights: Open Standards and Protocols
00:05:58 - Industry Perspectives on AI Shopping Agents
00:08:06 - Final Thoughts and Conclusion

Subscribe to Retail Media Breakfast Club's daily newsletter

Follow Kiri on LinkedIn

  continue reading

99 episodes

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