Omnius Analyzes E-commerce Customers' Fashion Preferences Using AI

Personalized Fashion Coordination Suggestions for E-commerce Customers

Omnius, an artificial intelligence (AI) commerce solution company, announced on the 5th that it has launched an 'AI Styling Recommendation Service' that analyzes the fashion preferences of e-commerce and shopping mall users to suggest coordinated products.

This service is provided as software as a service (SaaS) in partnership with e-commerce companies, automatically generating 'customized coordinated sets' rather than single items and proposing fashion styles to customers.

Omnius explained that it applied self-supervised learning-based large-scale AI technology to this service, not only reflecting the latest trends in a timely manner but also incorporating feedback from fashion experts to enhance customer satisfaction.

Founded in 2015, Omnius focuses on hyper-personalized AI solutions and collaborates with leading domestic e-commerce companies such as The Hyundai, Lotte ON, LF, Zigzag, Ably, and Brandy, providing product search, analysis, and recommendation services.

Jeon Jaeyoung, CEO of Omnius, said, "We will lead a better customer experience through service recommendations and personalized customization based on the products registered on each e-commerce platform," adding, "We will strive to increase client sales through a stable AI styling recommendation service."