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.


🤖 Ready to meet a shopping agent? Our CEO, Jiwon Hong, shares her thoughts on the future of shopping.

We analyzed 13,374 fashion searches. AI tagging increased product discovery by 22% and boosted clicks by 11%. Here’s what the data revealed.

With the release of our new fashion product recommendation engine on Shopify, we’ve been reflecting on the story of YesPlz AI, and how we got here (hint: through a lot of prototypes, frustration, and hard work).

In the world of online retail, we’ve seen innovation in every sense, from virtual fitting rooms to AI-based trend forecasting. But, where does this leave product managers? In this guide, we break down the essentials of fashion AI for product managers.

Have you ever tried to find a certain type of dress or shirt--and the name for the style you’re looking for is on the tip of your tongue? In this post, we’ll walk you through our Style Filter, and how it can change the way you shop for clothes.

Too many retailers are stuck with static, expensive AI product recommendation systems that aren’t delivering accurate, fashion-forward recommendations to customers. That’s why we decided to create the YesPlz AI Product Recommendation Engine.

By utilizing the Style Filter and YesPlz Product Recommendations, Lately and Kolon Mall were able to create the best-possible online shopping experience for customers.

Many of the trends that emerged in 2020 were simply catalyzed by COVID--but what are the trends for 2021? We take a closer look at fashion eCommerce trends, including product personalization and fashion artificial intelligence.