Zyler provides a software solution that employs photo-realistic rendering technology for virtual try-on of fashion accessories, allowing online shoppers to visualize how items will appear on them. This capability reduces uncertainty in purchasing decisions and minimizes the likelihood of returns.
Funding
Funding not disclosed
Founders
Product
Problem
Online fashion retail suffers from high return rates due to customers' inability to accurately visualize how clothing and accessories will look on them before purchase. This uncertainty leads to dissatisfaction and increased logistical costs for retailers. Furthermore, choosing the correct size online remains a significant challenge, contributing to purchase errors and returns.
Solution
Zyler offers a virtual try-on (VTO) and size recommendation solution for e-commerce, enabling shoppers to visualize themselves wearing clothing and accessories with photorealistic rendering. By uploading a headshot and providing basic measurements, customers can virtually try on multiple items and receive personalized size recommendations. The platform combines advanced AI with product shots and size charts to create an immersive "digital dressing room" experience. This integrated tool aims to provide both emotional validation through VTO and functional guidance via size recommendations, empowering consumers to make informed purchase decisions.
Target Audience
Zyler targets clothing retailers and e-commerce businesses seeking to reduce return rates, increase sales conversions, and enhance customer engagement.
Features
- Photo-realistic virtual try-on using uploaded headshots and basic measurements
- AI-powered size recommendations based on individual body measurements
- Digital Dressing Room™ interface for trying on multiple products and brand editorial styling
- Personalized email content with Zyler visualizations to increase click-through rates
- Integration with direct marketing tools
- Plug-and-play or API solution for easy integration into e-commerce platforms