Amazon just packaged everything it learned building Alexa for Shopping and started selling it to retailers.
AWS Agentic Shopping Assistant gives retailers the architecture, starter code, and expert guidance behind Amazon's own AI shopping infrastructure. Kate Spade is already live with it. Built on Anthropic's Haiku model through Amazon Bedrock. Retailers can deploy in roughly 60 days.
The business case Amazon is making: their AI shopping assistant drove nearly $12 billion in incremental sales for Amazon last year. Conversational sessions convert at 3.5 times the rate of keyword search. If that's what the technology did for Amazon, here's the infrastructure to do it for your brand.
That is a compelling offer. It is also worth reading carefully.
Walmart built Sparky on their own data, their own customer relationships, their own loyalty infrastructure. That is why Sparky converts better than any general-purpose agent; it knows more because Walmart built the data layer rather than renting it. The 35% higher spend per order is a data ownership story.
The AWS ASA offer is different. You are building your brand-owned agent on Amazon's infrastructure, using Amazon's models, trained on Amazon's shopping data. The "you keep the customer relationship" reassurance is technically accurate. The dependency it creates is real.
This is the same tension in Google's Universal Cart reassurance: "you stay the merchant of record." True. But when discovery, cart management, and checkout authorization all live in someone else's infrastructure, the customer relationship is on your brand label and their nervous system.
Every major platform is now offering retailers the same deal: here is the agent intelligence we built for ourselves, available to you, on our infrastructure. Amazon. Google. Microsoft.
The retailers who own the next decade will be the ones who read that offer clearly and decide which layer they are willing to rent and which layer they need to own.