Naver boosts transaction volume 82% with AI shopping agent

Sep 17, 2026, 09:40 am

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Naver AI shopping agent. / Naver

Naver is upgrading its AI shopping agent's recommendation capabilities by integrating real-time delivery tracking information. The enhanced system factors in user delivery addresses and ordering cutoff times to curate products that can actually arrive by a user's requested delivery window. Following its official debut in June, transaction volume driven by the AI agent surged 82%, reflecting a growing conversion rate from product browsing to actual purchases.


On the 17th, Naver announced that it is advancing the recommendation capabilities of the AI shopping agent in its shopping app to incorporate real-time shipping data. The update allows shoppers to find items that arrive when needed without having to manually check delivery schedules for each individual product.


For instance, if a user asks, "Recommend a hot pot meal kit that can arrive by tomorrow for my camping trip," the system filters items eligible for on-time arrival based on the user's set shipping address. The agent also provides estimated delivery dates alongside order deadlines for each product.


Even without explicit delivery requirements, the agent infers conversational context to prioritize items with faster turnaround times. If a customer searches for electric blankets amid an abrupt cold snap, the agent compares options such as heated mattress pads and heated water pads while narrowing selections to products with the fastest shipping options.


User engagement is steadily expanding. As of September, conversations with the AI shopping agent rose roughly 60% compared to June, immediately following its official release. Over the same span, transaction volume generated through the AI agent climbed 82%.


Lee Jeong-tae, head of Naver's Shopping Search & AI division, said, "We will support consumers' purchasing decisions by combining personalized recommendation technology with real-time shopping data held by Naver Shopping, including product specifications, live shipping details, and customer review data."


                                                                                                          Lee Seo-yeon

#Naver #AI 
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