When it comes to vibe, the difference between “romantic” and “casual” is subjective, depending on each person’s opinion. But, shoppers want to filter by vibe. In this article, we go over how we trained our fashion machine learning to recognize complex attributes like vibe.More
As more small and medium-sized retailers consider opening up resell marketplaces on their own websites to tap into this new market, they will need to consider how to create a strategy for tagging incoming products. Because when shoppers explore clothing options on a resale platform, they’re often left confused by inaccurate product filters and search. We explore how eCommerce tagging can help solve the issue.
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AI and retail tech
AI for eCommerce is the next wave of technology making the eCommerce experience more personal and frictionless. With the lightning-fast adoption of ChatGPT for fashion, the eCommerce industry is also quickly embracing other well-developed AI technologies to create a better shopper experience. In this article, we walk you through to how to effectively build AI for eCommerce.
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.
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 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.
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:
As a fashion AI startup, YesPlz was recently selected to pitch on StartupGrind’s mainstage, an annual gathering for startups building the “next big thing.” YesPlz was selected as one of the top 40 startups out of 1500+ worldwide applications! Here’s the inside scoop on what happened.
Finding the perfect pair of shoes online is not easy. With new, trending styles popping up all the time, it’s difficult to keep up with the latest terminology. With the Virtual Mannequin Filter, a revolutionary tool that transforms shopping into an interactive experience, you can easily filter by your shoe preferences (for example, by heel height) on a mannequin. Then, receive instant search results that match your parameters. We’ll walk you through how to use the Virtual Mannequin Filter to find any pair of shoes, under different scenarios.
From generative AI like ChatGPT to more advanced computer vision, the underlying technology is improving at a rapid rate. By harnessing the power of AI in the fashion industry, online retailers can offer a more personalized and engaging shopping experience. We'll dive into the ten innovative ways that AI in fashion is shaking up eCommerce product search in 2023 and what that means for retailers.
Creating the ideal eCommerce recommendation requires a mix of technology and creativity. YesPlz used technical expertise and creative ideas to create AI recommendations for two fashion retailers, W Concept and The Handsome. Here's how we did it.