We want to help people discover, learn about and shop for the products they love — whether those products come from a big-box retailer, new direct-to-consumer brands or the mom-and-pop shop down the street. We’re supporting an open network of retailers and shoppers to help businesses get discovered and give people more options when they’re looking to buy. Two concrete steps we’ve taken to support discoverability for all merchants are eliminating commission fees and making it free for sellers on Google.

To show you the most relevant shopping information, we must have a deep understanding of the products that appear across Google and in the world around us — from images and videos to online reviews and inventory in local stores. That’s why today we shed some light on the technology behind our Shopping Graph: our most comprehensive, real-time dataset about products, inventory and merchants. 

The Shopping Graph is a dynamic, AI-enhanced model that understands a constantly-changing set of products, sellers, brands, reviews and most importantly, the product information and inventory data we receive from brands and retailers directly — as well as how those attributes relate to one another. With people shopping across Google more than a billion times a day, the Shopping Graph makes those sessions more helpful by connecting people with over 24 billion listings from millions of merchants across the web. It works in real-time so people can discover and shop for products that are available right now

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