Feature extraction for eCommerce is the foundation for building personalization like search, recommendations, and filters. But, depending on how features are extracted, the quality of structured data can vary. In this article, we go behind the scenes and discover how YesPlz tags product attributes uniquely.More
Have you ever tried to find a certain style of clothing and the name seems to slip your mind? Or, maybe you know the exact clothing silhouettes that flatter your body, but can’t find the filter combinations to get you to the products you want to see? Introducing the Virtual Mannequin Filter, a revolutionary tool that transforms online shopping into a seamless and enjoyable experience, by catering to the user's specific requirements and preferences. Learn how it works in our step-by-step guide.
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Despite new technology developments in 2023, eCommerce recommendations are still lagging behind. In this article, we’ll go over the state of eCommerce recommendations in 2023, including the difference between traditional and non-traditional recommendations and the latest updates.
The End Goal: Multi-faceted eCommerce discovery that converts. But, how could W Concept, a leading luxury fashion retailer, access all of the product discovery apps it needed for success? Learn how single integration simplified the entire process.
Ecommerce product filters are crucial when helping shoppers quickly find the products they’re looking for. When designed well, they can turn a mediocre shopping experience into a superior one. In this article, we walk through how to design the best eCommerce filters that always convert shoppers.
W Concept came to YesPlz with a challenge: as a growing luxury fashion retailer, how could they curate a robust discovery experience, all powered by fashion AI? Learn how YesPlz AI led a digital transformation.
Fashion AI is heating up in 2022--and these are the top startups we've named that are shaking up the industry, creating new ways to keep customers engaged.
Stay updated on the latest terms in fashion AI with the YesPlz Fashion AI Dictionary, and gain a better understanding of fashion tech. We'll continue to update the dictionary with new terms.
Shoppers want to see fashion tagging for occasion--but why is it so difficult to get right? We outline everything you need to know to provide shoppers with occasion filters, as well as common customer painpoints (and how to solve them).
Product filtering has a problem. Traditional product filter and search are leaving users unsatisfied. But, with the Style Filter, we can solve the traditional product filter problems through visual search and fashion AI.
eCommerce retailers are struggling to find a system for managing the growing fashion taxonomy. We'll go over how AI can help resolve confusing fashion taxonomies.
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