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The Problem with
Current Search Filters
Today’s search experience fails to inspire customer purchases. It lacks variety, personalization, and simplicity.
A Solution: The AI Style Filter for Fashion E-commerce
It's all visual, intuitive and hyper-personalized that drives purchases
Unique Attributes
We spent 200+ hours interviewing users to understand what attributes truly matter to shoppers
Optimized Training
Our proprietary machine learning algorithm works quickly and accurately with just a little data to yield results
Intuitive Interface
Our interface recreates the ways shoppers naturally select their items - without typing
Try it out
*Patent PendingImpressed?
Experience more features from our
Style Filter
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.
What Our Partners Say
Read Case StudyWe’re impressed by how YesPlz engine works for our business. Most of all, we like how the YesPlz team is there to make sure the integration is easy and how they’re able to customize the solution quickly for our business needs.
Gyyoung Kim
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
