Personalization is the art of delivering the right content to the right person at the right time. It’s a mix of data and “art,” but most of all, personalization is at the core of delivering a superior shopping experience. But, how can we achieve a great personalization experience for eCommerce? We'll walk you through examples and take a look at the necessary components to achieve it.More
Despite the importance of good quality product discovery for eCommerce, there are still challenges that keep retailers from creating superior discovery experiences. In this article, we share 3 tips on how to use fashion AI to boost product discovery for eCommerce.
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Dynamic filters separate a good eCommerce product discovery experience from a bad one. With shopper expectations at an all-time high, dynamic filtering’s benefits are clear: increased conversions and more intuitive experiences. But, creating dynamic filters can be a complex and laborious process. We explain how they can improve your eCommerce product discovery and how to implement them.
By training our fashion AI on what shoppers value the most: silhouette and style, we’re able to offer more personalization than ChatGPT and other fashion AI stylists. Learn more about what happens when an AI personal stylist meets ChatGPT.
With new fashion tagging tools available, it’s important to take a critical look at how you can use these new tools to improve your eCommerce. For example, how was each product tagging tool built? What features does it have? Does it use fashion-trained AI? In this article, we’ll go over how YesPlz built its product tagging for eCommerce, and why it stands out from the rest.
In this guide, YesPlz will walk you through the essential pieces of fashion tagging, from what it is to the effect on shopper experience—and more. Bookmark this guide for later, as we continue to update with the latest news and information.
The majority of e-commerce sites struggle with product list and filtering user experience (UX), with 57% of sites presenting a mediocre or worse experience. Despite being resolvable, UX issues lead to potential customers abandoning suitable products. We provide a product filtering checklist for UX best practices, based on Baymard's 2023 report.
User interviews conducted by YesPlz provide valuable insights into shopper expectations from the ChatGPT Fashion Stylist.
The Virtual Mannequin Filter revolutionizes online shopping by simplifying the process of finding dresses based on silhouette, vibe, and design, offering a seamless and enjoyable experience catered to individual preferences.
ChatGPT for eCommerce is the ultimate “hot” 2023 fashion retailer tool. Whether you’ve been keeping up with the latest news or not, it’s hard to deny that talk about ChatGPT is everywhere, in every aspect of business. But, with so much discussion about ChatGPT, it’s hard to tell what’s hype and what is here to stay. In our “Ultimate Guide to ChatGPT for eCommerce,” we’ll go over everything you need to know.
Join experts Agnes Kubiak (Trend & Design Expert) and Christina Stensvaag as they share their thoughts on ChatGPT's role in the fashion industry from both a design/trend and a product-centered perspective.
By incorporating advanced algorithms and machine learning, YesPlz brings a new dimension of personalization to the shopping experience. It goes beyond collaborative filtering and similar recommendations, identifying not just text matches but also delving deeper into the intrinsic qualities of products that appeal to individual shoppers. Here's how: