Looks is a mobile application that utilizes generative AI and virtual try-on technology to allow users to visualize outfits tailored to specific occasions. This approach enhances customer confidence in their purchasing decisions, reduces return rates, and fosters a more personalized shopping experience.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional e-commerce shopping experiences often lack personalization, leading to uncertainty in purchasing decisions and high return rates. Customers struggle to visualize how clothing items will look on them, hindering their confidence and satisfaction.
Solution
Looks offers an AI-powered virtual try-on platform that allows users to visualize clothing on themselves. By leveraging generative AI and a "back-tracing" approach, Looks enables customers to generate their desired look and then find matching clothing items. This technology enhances the shopping experience by providing a personalized preview, boosting customer confidence, and guiding users toward suitable purchases that align with their personal style. The platform aims to scale virtual try-on capabilities without requiring extensive brand integrations.
Target Audience
Looks primarily targets consumers seeking a more personalized and immersive online shopping experience, as well as fashion brands looking to reduce return rates and increase customer engagement.
Features
- AI-powered virtual try-on using generative AI
- "Back-tracing" approach to match generated looks with available clothing items
- Personalized previews of clothing on the user
- Mobile application for convenient access
- Aims to scale virtual try-on without brand integrations