Jikbang, Hogangnono Unveil AI Brokerage Service 'AI Junggaesa'

Proptech company Zigbang and apartment information platform Hogeonono have opened new horizons in real estate exploration. Moving away from the conventional map-based search method, they have launched an innovative 'AI Real Estate Agent' service that allows users to receive apartment complex recommendations purely through conversation. Now, users can simply express their desired living conditions in natural language, as if conversing with a real estate agent. The AI deeply analyzes vast amounts of data, including actual transaction prices, complex information, real resident reviews, transportation, and school districts, to immediately present apartment complexes that best match the user's intent. Without the need for complex filter settings or meticulous map exploration, personalized recommendations can now be received solely through conversation. During the recommendation process, key factors such as location, educational environment, amenities, real transaction trends, and resident evaluations are comprehensively considered, and essential information like complex overviews, recent transaction details, and summaries of location characteristics can be viewed at a glance. The powerful foundation of this service is the unique data assets that Zigbang and Hogeonono have accumulated over a long period. Zigbang possesses nationwide structured real estate data, sophisticated market price prediction models, and abundant user search and inquiry data. Hogeonono has added over 10 million vivid actual resident reviews and lifestyle-oriented information. The combination of these two companies' data has resulted in a sophisticated conversational recommendation engine that encompasses both quantitative information and actual living experiences. The 'AI Real Estate Agent' is not only beneficial for consumers. It is also highly anticipated as a tool that will dramatically increase consultation efficiency and transaction success rates for real estate agents. Since the AI already organizes specific customer needs such as budget, desired area, family composition, and lifestyle patterns, agents can save unnecessary time spent in the initial stages of consultation, quickly propose properties that better meet the conditions, and focus on their core expertise. Zigbang explains that this service will maximize agent productivity and automate the buyer's exploration process, thereby helping agents concentrate on their core tasks. Ahn Sung-woo, CEO of Zigbang, emphasized that this 'AI Real Estate Agent' service will be a significant turning point for the domestic real estate market, shifting it from 'search-centric' to 'conversational exploration', and expressed the ambition that Zigbang and Hogeonono's technology and data will lead the development of the proptech sector.