Style Filter
Laser accurate visual search filter. Customers filter styles based on their preferred fashion styles. Intuitive and easy-to-use.
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
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.
Our Retail Partners
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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.
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Coming Soon!
As a multilingual company, text-based search is twice as hard to get right in English and Arabic. With YesPlz Style Filter, Markati shoppers can overcome language barriers and filter their favorite styles and cuts of clothing.
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