Ecommerce search filters affects not only how customers find products, but the overall experience. In the first of our product filtering battle series, we put Urban Outfitters and In the Style to the test based on YesPlz filtering criteria.


🤖 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.

In the third part of our webinar series, we explore the advantages that small and mid-sized eCommerce brands have in implementing fashion AI, and how to create a strategy that plays upon these strengths to stay competitive.

Fashion tagging is the foundation of accurate occasion filters. Learn how better tagging improves search, discovery, and conversions.

In the second part of our webinar series, we explore examples of retailers using fashion visual search creatively, like Levi's Jeans and Shein. How can those examples help other fashion eCommerce brands decide on a visual search strategy?

Choosing a fashion visual search tool? Use this practical checklist to explore the must-have features retailers should compare before committing to a solution.

Visual search is disrupting fashion eCommerce, creating new opportunities for retailers whose search is lacking. Powered by fashion AI, visual search has been embraced by major retailers like Shein--but what makes it so revolutionary?

Service planning is hard when you’re trying to integrate technology with service offerings. In this guide for fashion eCommerce, we go over step-by-step, how to plan fashion product filter powered by AI. You can also discover our product filter templates for fashion websites to help you along the way.