Drapr provides an online application that enables customers to create personalized 3D avatars for virtual try-ons of clothing, enhancing the online shopping experience. This technology reduces return rates by 26% and increases revenue by up to 14% by helping customers select the right size and fit before purchase.
Funding
Funding not disclosed
Founders
Product
Problem
Online apparel shopping suffers from high return rates due to customers' inability to accurately assess clothing fit and size on their own bodies. Traditional size charts are often insufficient, leading to uncertainty and dissatisfaction with purchases.
Solution
Drapr provides a solution that allows online shoppers to create personalized 3D avatars to virtually try on clothing. This technology enables customers to visualize how different sizes and styles will look on their unique body shape, enhancing the online shopping experience. By providing a more realistic and engaging try-on experience, Drapr helps customers make more informed purchasing decisions, leading to increased confidence and satisfaction. The platform integrates seamlessly with existing e-commerce platforms, offering a customizable widget that aligns with the brand's visual identity.
Target Audience
Drapr's primary target audience is apparel brands and e-commerce retailers looking to reduce return rates, increase revenue, and improve the online shopping experience for their customers.
Features
- Personalized 3D avatar creation from user-provided measurements or images
- Virtual try-on functionality to visualize clothing fit on the avatar
- Size comparison tool to see the visual differences between sizes
- Seamless integration with e-commerce platforms via API
- Customizable widget to match brand aesthetics (colors, fonts, styling)
- Fast API response times (20-60ms) to minimize page load impact
- Email capture functionality to save user body data for future visits