Make fashion
e-commerce search
delightful.
TRY LIVE DEMO
The Problem with
Current Search Filters
Today’s search experience fails to inspire customer purchases. It lacks variety, personalization, and simplicity.
Try Style Filter
Interact our virtual mannequin to select the style you want, then our fashion-trained AI pulls relevant and varied search results.
* Patent PendingA Solution: The AI Style Filter for Fashion E-commerce
It’s all visual, intuitive and hyper-personalized that drives purchases.
Submit your real website and see our Style Filter in action.
Our Products
Style Filter
An easy website plug-in that helps shoppers intuitively search their preferred styles with a visual query
Similar Recommendations
Our algorithms instantly offers hyper-personalized recommendation based on the shopper’s search parameters
Style Suggestion
Our proprietary algorithm recommends perfect complete looks based on the selected style
How It Works
One image, endless recommendationsAuto Tagging - identify all key attributes from a single image
Simple API - to send back the recommendations to your website
Simple API Integration
Your existing product data is collected.
The YesPlz engine is enabled through simple API
Our AI algorithms are instantly customized to your website.
Benefits for E-commerce
AI tailored to your website’s needs
We can quickly adjust our algorithms to meet your unique business needs. Our algorithms require fewer images than other engines to yield an accurate prediction.
4x
Cart volume increases
43%
Search accuracy ↑
Previously unsold items generating sales.
Let us do the work
We can build a personalized search and recommendation solution,
specifically for your fashion e-commerce.
Our Retail Partners
-
Kolon Mall Case Study
We partnered with Kolon Mall, a leading retailer in Korea that is currently using YesPlz AI.
After implementing the filter, Kolon Mall saw a 15% sales spark and increased sales on previously lesser-sold products.
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Lately Case Study
Lately is an online retailer with thousands of complex products. We partnered with Lately to improve the customer search experience. YesPlz’s AI algorithm was able to recognize and tag images at a lightning speed. After implementing the Style Filter, the customer search experience has been improved.
about us
Founding Members
Jiwon Hong
CEO
Jiwon’s experience working as a product manager for Samsung and Sony Music inspired her to create a recommendation engine that connects the online marketplace through smart, sleek, and intuitive search experience.
Sukjae Cho
Sukjae’s specialization in applied AI, combined with his experience as a software engineer for Microsoft and various tech startups, is what keeps YesPlz running smoothly.
ADVISORS
Victoria Garcia
Claire Chang
Greg Kim
Aviram Jenik
