Amazon has plans to build a massive global product database for AI and shoppers

If you rely on smart assistants for shopping research, The Verge's reporting shows that amazon has an ambitious plan to index the world's online shopping data. This massive shift could change how Indian shoppers discover products, compare prices, and use AI chatbots.

Shoppers often head to Google or Reddit for product research instead of staying on one store. Amazon wants to capture that traffic by indexing everything sold anywhere on the internet.

Building the World Product Graph

According to The Verge's reporting, Reuters revealed a project called the World Product Graph. Amazon wants to build a vault of data on every product sold anywhere online. Even if Amazon does not sell the item, the information will be available through its site.

The goal is to make Amazon more useful than Reddit for people and AI agents. If Amazon holds the largest stockpile of shopping data, AI bots will rely on its index. Shoppers using bots will end up on Amazon pages anyway.

Fixing the AI Shopping Assistant

Amazon already runs an AI shopping assistant named Alexa for Shopping, which was previously called Rufus. However, internal documents note that many Rufus answers are factually wrong or incomplete. Running user searches with the current AI is also expensive.

Adding more internet shopping data is supposed to fix these accuracy issues. It will also allow the system to use cheaper AI models. Links to outside retailers are already popping up through a shop direct feature launched last year.

Uncertain Timelines and Brand Data

Whether this project actually ships remains up in the air. An internal document notes the plan depends on discovering how brands organize products on their own websites. This could involve Amazon crawling other retailers' sites.

Reuters reported that it is unclear if or when the plan will be implemented. The internal document included an October 1st, 2027 release date. Amazon told Reuters that draft and outdated documents paint an incomplete picture.

Next Steps for Smart Shoppers

1. Review how AI shopping bots gather their price comparisons.
2. Watch for changing search results as external retailer links expand.
3. Monitor updates regarding the October 1st, 2027 internal release timeline.
4. Expect shifting dynamics in how digital storefronts handle product research.

Amazon states that brainstorming documents do not necessarily reflect current plans. Still, the underlying strategy points toward a future where one massive index guides all digital purchases.

Indian consumers navigating festive deals and daily quick-commerce will feel these changes first. As AI tools evolve, finding the right price might soon happen entirely inside a single retail ecosystem.