Inspire product discovery using fashion-trained artificial intelligence. Give your customers an interactive, visual discovery tool to explore fashion styles they want.
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Only 2% of eCommerce shoppers convert.
Because they're not finding the styles
they're looking for. Current search experience
is tedious and inaccurate, leading to
abandoned shopping carts and less overall
revenue for you.
Give your customers an interactive, visual discovery tool to explore fashion attributes such as style, fit, and neckline.
* Patent PendingIt’s all visual, intuitive and hyper-personalized that drives purchases.
Submit your real website and see our Style Filter in action.
Laser accurate visual search filter. Customers filter styles based on their preferred fashion styles. Intuitive and easy-to-use.
Our algorithms instantly offers hyper-personalized recommendation based on the shopper’s search parameters
Our proprietary algorithm recommends perfect complete looks based on the selected style
Auto Tagging - identify all key attributes from a single image
Simple API - to send back the recommendations to your website
Your existing product data is collected.
The YesPlz engine is enabled through simple API
Our AI algorithms are instantly customized to your website.
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.
Cart volume increases
Search accuracy ↑
Previously unsold items generating sales.
We can build a personalized search and recommendation solution,
specifically for your fashion e-commerce.
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.
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.
CEO