Smart Styling Recommendation System Powered by Generative AI Technology
Video
Summary
ㅇ Content Overview
- Advanced Styling Recommendation Algorithm: A service that uses sophisticated styling recommendation algorithms and clothing image generation AI technology to automatically create personalized fashion styling content in real-time.
- Wardrobe Photo Integration: Users can take a photo of their wardrobe, and the system will automatically generate a variety of outfit images, providing a personal stylist experience.
- Online Shopping Enhancement: The recommendation algorithm combines selected items with other products to generate numerous styling suggestions, boosting sales.
Real-Time Optimal Coordination: Provides optimal outfit coordination in real-time for both online and offline stores.
- Advanced Styling Recommendation Algorithm: A service that uses sophisticated styling recommendation algorithms and clothing image generation AI technology to automatically create personalized fashion styling content in real-time.
- Wardrobe Photo Integration: Users can take a photo of their wardrobe, and the system will automatically generate a variety of outfit images, providing a personal stylist experience.
- Online Shopping Enhancement: The recommendation algorithm combines selected items with other products to generate numerous styling suggestions, boosting sales.
Real-Time Optimal Coordination: Provides optimal outfit coordination in real-time for both online and offline stores.
Company Profile
Fashion
Stylebot co.,ltd.
O Company Overview
- Led by a CEO with over 20 years of experience as a fashion designer and supported by fashion experts with over 10 years of experience, along with specialized AI/SW development personnel.
- Addresses consumer styling concerns using recommendation algorithms and generative AI technology to create real-time outfit images.
- Provides new value to fashion consumers and the online fashion commerce industry.
O Technology Development and Business Expansion
- Established a foundation for technology development and business expansion through participation in various government-supported projects.
- Actively pursuing collaboration and business expansion in the global market.
- Collaborating with leading companies such as Samsung Electronics, Hyundai Department Store Group's Handsome, Hyundai Construction, CJ ENM, and Shinsegae Group's W Concept.
- Advancing the fashion industry and creating new value through innovative and unique fashion AI technology.
O Product and Service Overview
- Provides a service that allows users to easily mix and match their wardrobe using styling recommendation algorithms and AI clothing image generation technology.
- Creates various styles of looks from simply taking pictures of the wardrobe, offering a personal stylist experience and enhancing wardrobe utilization.
- During online shopping, suggests numerous stylings by combining the selected product with other items on the site, increasing product exposure and extending customer engagement time, ultimately boosting sales.
O Key Features
- AI Technology: Utilizes AI image recognition technology to classify product images into over 160 detailed categories and automatically store them in the database.
- Coordination Recommendations: Automatically generates fashion coordination matching user and brand preferences, weather, and latest trends through the proprietary FSTA recommendation algorithm.
- Virtual Fitting: Uses generative image AI technology to provide real-time virtual try-on images of clothing on avatars.
- Customization/Personalization: Differentiates recommended coordination images and products based on user and brand fashion preferences.
- Real-Time Image Generation Technology: Creates styling images in real-time with avatars wearing recommended items.
O Service Differentiation and Applications
- Provides a service that creates editorial-like content by mixing and matching products for set sales in online fashion shopping.
- Differentiates from the studio-shot content creation and labeling-based coordination recommendation methods used by large fashion platforms such as Musinsa.
- Applied in online fashion commerce sectors including women's clothing, men's clothing, golf/leisure wear, and children's clothing.
- Led by a CEO with over 20 years of experience as a fashion designer and supported by fashion experts with over 10 years of experience, along with specialized AI/SW development personnel.
- Addresses consumer styling concerns using recommendation algorithms and generative AI technology to create real-time outfit images.
- Provides new value to fashion consumers and the online fashion commerce industry.
O Technology Development and Business Expansion
- Established a foundation for technology development and business expansion through participation in various government-supported projects.
- Actively pursuing collaboration and business expansion in the global market.
- Collaborating with leading companies such as Samsung Electronics, Hyundai Department Store Group's Handsome, Hyundai Construction, CJ ENM, and Shinsegae Group's W Concept.
- Advancing the fashion industry and creating new value through innovative and unique fashion AI technology.
O Product and Service Overview
- Provides a service that allows users to easily mix and match their wardrobe using styling recommendation algorithms and AI clothing image generation technology.
- Creates various styles of looks from simply taking pictures of the wardrobe, offering a personal stylist experience and enhancing wardrobe utilization.
- During online shopping, suggests numerous stylings by combining the selected product with other items on the site, increasing product exposure and extending customer engagement time, ultimately boosting sales.
O Key Features
- AI Technology: Utilizes AI image recognition technology to classify product images into over 160 detailed categories and automatically store them in the database.
- Coordination Recommendations: Automatically generates fashion coordination matching user and brand preferences, weather, and latest trends through the proprietary FSTA recommendation algorithm.
- Virtual Fitting: Uses generative image AI technology to provide real-time virtual try-on images of clothing on avatars.
- Customization/Personalization: Differentiates recommended coordination images and products based on user and brand fashion preferences.
- Real-Time Image Generation Technology: Creates styling images in real-time with avatars wearing recommended items.
O Service Differentiation and Applications
- Provides a service that creates editorial-like content by mixing and matching products for set sales in online fashion shopping.
- Differentiates from the studio-shot content creation and labeling-based coordination recommendation methods used by large fashion platforms such as Musinsa.
- Applied in online fashion commerce sectors including women's clothing, men's clothing, golf/leisure wear, and children's clothing.
