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KOREANFRIENDS.INC is a company that operates global business based on the Korean Wave culture and aims to become a brand company representing the Korean Wave.
Explore KOREANFRIENDSCustomized search results cater to each user's unique fashion preferences.
About APPPersonalized fashion recommendations based on your styling data.
About APPCustomized brand recommendations tailored to each user's style and preferences.
About APPAn original easy brand with global Korean sensibility produced by KOREANFRIENDS.INC.
About +82GALLERYWith +82FAI technology, users can build and manage their digital wardrobes.
Information about garments with RFID tags is automatically collected and stored in the user's wardrobe database. This allows users to easily understand the characteristics of their clothes, such as brand, style, color, and material, at a glance.
Furthermore, AI algorithms analyze the user's clothing purchase history and preferences to provide personalized fashion tendency reports. Based on this, users can objectively understand their fashion style and maximize the utilization of the clothes in their wardrobes.
With RFID tags, the location of garments can be tracked, making it easier to prevent loss and manage clothing.
By analyzing the user's fashion purchase history and preferences, financial services for optimal fashion item purchases are provided.
By transparently managing the history and condition of garments through RFID tags, the reliability of clothing sharing and second-hand transactions can be increased.
By matching the user's fashion preferences with brand identities, customized brand styling is suggested.
+82FAI's RFID technology and AI algorithms quantify and analyze the user's fashion style.
Data is collected for each item, including brand information, design features, materials, colors, etc., and based on this, the user's fashion tendencies are indexed. For example, scores such as classic style index, trendy style index, and casual style index are calculated to objectively represent the user's fashion taste.
Through this, AI can recommend optimized styling to users and suggest new combinations of clothing. Additionally, by analyzing the emotional index of each garment and recommending fashion items that match the user's mood and TPO, a more satisfying fashion consumption experience is provided.
Communities are formed among users with similar fashion styles to promote fashion information sharing and interaction.
In stores, services are provided that allow users to virtually try on clothes using AR technology. This enables users to easily experiment with various styles.
In virtual spaces, fashion styling and social interaction using the user's avatar becomes possible.
By linking and analyzing the user's health data and fashion data, fashion items that contribute to a healthy lifestyle are recommended.
The classic sensibility index represents a preference for traditional and elegant styles, utilizing neat and simple silhouettes and colors in styling.
The romantic sensibility index signifies a preference for feminine and soft styles, characterized by details such as flowers, lace, frills, and pastel-toned colors.
The casual sensibility index indicates a preference for comfortable and practical styles, creating natural and unique styling by utilizing materials such as denim, cotton, and knit.
The modern sensibility index refers to a preference for contemporary and sophisticated styles, characterized by simple and minimal designs and monochromatic color combinations.