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Amazon Plans Global Product Index to Outpace Competitors in Shopping Data

Amazon intends to build a comprehensive data vault containing details on every product sold globally, even those not sold by Amazon, in an effort to m

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Originally reported bytheverge

Amazon intends to build a comprehensive data vault containing details on every product sold globally, even those not sold by Amazon, in an effort to make the platform more useful than Reddit for both human shoppers and AI agents.

Codenamed the "World Product Graph," this initiative aims to reduce the need for users to visit alternative research hubs like Reddit or Google, ensuring that searches—even those for products sold at other retailers—direct users back to Amazon. Similarly, AI agents are expected to prioritize Amazon's vast index over competitors, channeling bot-driven traffic to the platform.

Links to external retailers are already appearing on Amazon through the "shop direct" feature launched last year. Additionally, Amazon's AI shopping assistant, Alexa for Shopping (formerly Rufus), is expected to benefit significantly from this expanded dataset.

Internal documents cited by Reuters indicate that the current AI assistant struggles with factual errors and high operational costs. The addition of a more comprehensive database is reported to be the solution to improve answer accuracy and allow the system to utilize cheaper processing models.

The feasibility of the project remains uncertain, as it depends on Amazon successfully crawling and organizing product data from various brand websites. Although an internal roadmap suggested a potential launch in October 2027, Amazon has refuted these claims, stating that unreleased brainstorming documents do not necessarily dictate current corporate strategy.

#AI News#Amazon#World Product Graph#Shopping Data#AI Agents
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