Wemakeprice online shopping center uses product data for organized shopping service based on AI


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SEOUL – In an effort to attract more customers, Wemakeprice, an online shopping center operator in South Korea, has adopted an artificial intelligence-based organized shopping service that uses information on some 700 million products from approximately 230,000 online stores. Customers can compare and select the products that best match their unique tastes.

AI-based curation services have been adopted by South Korean online malls to analyze shopping preferences based on sopping history, keyword research and other personal history such as than age and gender. The analyzed information can be used to deliver the most suitable products

Metadata provides more detailed information about the data. For example, the data on a pair of sneakers would contain sizes, design, and price. The metadata contains a list of malls that sell the sneakers, customer reviews, pricing, and availability. Metadata and AI are often used together to provide a deeper insight into things or situations.

Wemakeprice said in a statement on Dec. 13 that the company has released a metadata and AI-based product comparison service to show unique strengths and characteristics through a single web page. “We will become an e-commerce platform that will provide the best shopping environment for customers by strengthening our investment in metadata research and development while maintaining our competitiveness in the organized purchasing industry,” said Ha Song. , CEO of Wemakeprice.

Similar services are provided by other online shopping management services, such as Danawa, a popular online shopping mall price comparison information service. Wemakeprice said its organized service involves human workers altering AI-calculated shopping search results to provide customers with more detailed, tailored shopping results.

“While previous metadata-based purchase curation services focused on price comparison information, we will provide a product comparison service that will provide detailed information on features, style and other attractive points of products. products, ”Wemakeprice said.

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