There’s a problem with the current state of eCommerce discovery: siloed apps that don't work together to deliver a consistent product discovery experience, leaving shoppers frustrated and unable to find the products they want. From mismatched search results to repetitive discovery loops, shoppers aren’t getting the most out of product discovery when they’re on retailers' websites. We figure out how to solve the problem with holistic eCommerce discovery.
by Jess ErdmanContent Marketing Lead
YesPlz AI offers a suite of 9+ product discovery solutions that include search, filter, recommendations, and an AI stylist to help create a smooth discovery journey for each shopper
by YesPlz.AI
Discovering new favorite fashion brands can be overwhelming with thousands of options available. YesPlz AI offers a solution with its innovative fashion recommendation system designed to enhance the shopping experience for eCommerce businesses.
by YesPlz.AI
Freshly launched, the Virtual Mannequin Filter for earrings provides shoppers with another product category they can intuitively search for, and find perfectly tailored products to their needs. We’re excited to add a new product category to the Virtual Mannequin Filter, to better help shoppers discover new products seamlessly.
by Jiwon HongFounder at YesPlz AI
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.
by Jess ErdmanContent Marketing Lead
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 Jess ErdmanContent Marketing Lead
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.
by Jess ErdmanContent Marketing Lead
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.
by YesPlz.AI
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.
by Jess ErdmanContent Marketing Lead
