"AI Styling"... Interpark Enhances Fashion Product Recommendation Service

Introduction of AI-Based Product Recommendation Service in Fashion Category

[Asia Economy Reporter Kim Cheolhyun] Interpark announced on the 13th that it has strengthened its fashion category by newly introducing an artificial intelligence (AI)-based styling recommendation service since early January. This service recommends tops, bottoms, outerwear, and more that match a fashion item selected by the customer.

For example, if a customer selects a wool A-line skirt on Interpark, products with a similar style to the chosen skirt are consecutively introduced. Additionally, the screen’s flowerbed section recommends cardigans, coats, knits, and other items that go well with the wool skirt. Since various products are displayed with a single click, the search burden is greatly reduced, and customers only need to choose the products they like.

Previously, last year, Interpark introduced a service that automatically finds the product most similar to what the customer wants based solely on images. By adding the styling recommendation feature this time, shopping convenience has been further enhanced.

The technology applied to Interpark’s product recommendation service is based on a deep learning algorithm created by learning from millions of data points. It classifies detailed attributes such as color, brand, shape, and style from product images to find the result. Furthermore, based on the vast amount of collected data, the AI determines trendy styling and suggests product coordinates that match the item the customer is viewing.

Interpark initially applied this service to clothing and fashion accessories, where visual elements are important, and plans to expand its application to living, sports, leisure, and other categories in the future. Additionally, within this year, it plans to advance the service into a personalized recommendation system that analyzes customers’ shopping history to suggest products tailored to their preferences.

Shin Suyeon, Team Leader of Interpark Next Commerce Lab’s Image AI Team, said, "Since the enhancement of the similar product recommendation service last year, click-through rates and purchase conversion rates have increased, and customer shopping satisfaction continues to rise. Going forward, we will provide a differentiated shopping experience by utilizing Interpark’s accumulated AI technology and service know-how to help customers find the products they want more quickly and accurately."

This content was produced with the assistance of AI translation services.