How Shopify improved consumer search intent with real-time ML

In the dynamic landscape of commerce, Shopify merchants rely on our platform's ability to seamlessly and reliably deliver highly relevant products to potential customers. Therefore, a rich and intuitive search experience is an essential part of our offering.

Over the past year, Shopify has been integrating AI-powered search capabilities into our merchants’ storefronts. Shopify Storefront Search has transformed the way consumers can shop online. With Semantic Search , we went beyond keyword matching. We improved our understanding of the intent behind a consumer’s search, so that we could match a search with the most relevant products.

The net result is helping our merchants boost their sales while offering positive interactive experiences for their consumers. It’s a win-win!

Around the same time, Shopify also started investing in creating foundational machine learning (ML) assets. These assets are built as a shared repository of ML primitives which are used as reusable building blocks for more sophisticated AI systems. Shopify Storefront Search is the perfect use case for these ML assets. Complex systems like this need primitives that can transform both text and images into data formats it can process.

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