Leading Korean proptech startup Zigbang is entering the B2B space with its latest Ai-based solution. Zigbang, the real estate brokerage platform, is expanding its business model with the launch of a new AI big data solution for real estate professionals called ‘Zigbang RED (Real Estate Data)’.
The platform offers a professional statistical data tool that combines data science technology with real estate big data to provide high-quality information for semi-professional groups, including construction companies, financial companies, and public institutions.
Zigbang RED offers more than 90 real estate market indicators that provide practical data on location and demand. This includes settlement conditions and employment conditions, which provide a quantified percentile score by collecting and processing information on the distribution of convenience facilities in the vicinity of 29,000 apartment complexes with 30 or more households nationwide.
The new platform also identifies actual consumers and target groups based on Zigbang’s unique information, such as data obtained by analyzing residents’ reviews of Zigbang and Hogang Nono apps based on natural language processing techniques and log analysis data of app users. Zigbang RED allows users to check the apartment sales price index by station area and the sales price index by apartment brand.
Zigbang CEO Ahn Seong-woo stated that the company has dramatically improved the quality of real estate information by using the latest analysis methods such as machine learning, deep learning, and natural language processing techniques. He further added that the proptech company plans to provide information on the actual transaction price of non-residential real estate such as collective shopping malls and knowledge industry centers in the future. With the launch of Zigbang RED, Jikbang aims to lead the real estate data market by providing reliable information optimized for customer needs.
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