VIRE Ivory Shelf uses AI to analyze fashion trends and provide personalized style recommendations. Their platform helps users discover clothing and accessories that match their individual preferences and body type, creating a more efficient and satisfying shopping experience.
Funding
Funding not disclosed
Founders
Product
Problem
Online fashion shopping often results in dissatisfaction due to inaccurate size and fit information, leading to frequent returns and a frustrating customer experience. Current methods for determining fit rely on static measurements and generic sizing charts, failing to account for individual body variations and garment-specific tailoring. This makes it difficult for consumers to confidently purchase clothing online, especially for runway and designer fashion.
Solution
Ivory Shelf offers a platform that leverages AI to provide personalized style recommendations and a virtual try-on experience for online fashion shoppers. The platform analyzes fashion trends and individual user preferences to suggest clothing and accessories that match their style. The virtual try-on feature allows customers to visualize how garments will look on their body before making a purchase, reducing uncertainty and improving satisfaction. By combining AI-driven recommendations with virtual try-on capabilities, Ivory Shelf aims to create a more efficient and confident online shopping experience.
Target Audience
The primary target audience is fashion-conscious consumers who shop online and seek personalized style recommendations and accurate virtual try-on experiences, particularly those interested in runway and designer fashion.
Features
- AI-powered style recommendations based on user preferences and current fashion trends
- Virtual try-on feature allowing users to visualize clothing on their body
- Personalized size and fit guidance to improve purchase accuracy
- Integration with runway fashion and designer clothing catalogs
- Mobile app for convenient access and on-the-go shopping