Core Insights - The article highlights the challenges faced by local real estate companies, particularly in third and fourth-tier cities, and emphasizes the need for localized AI systems to address these issues [1][2]. Group 1: Regional Challenges - The company, Luoyang Zhonghe, has been operating locally for eight years and reflects common issues in regional real estate, such as sales risks and local challenges [2]. - The company primarily engages in new housing agency and second-hand housing transactions, facing significant sales risks, as evidenced by a funding chain crisis in 2021 [2]. - The phenomenon of "phantom school districts" is prevalent, where delayed school deliveries inflate housing prices, while the decline in demand for older city areas exacerbates the situation [2]. Group 2: AI Solutions - The "Zhice Fangzhou" system offers targeted solutions for Luoyang Zhonghe, including a risk control model that identifies potential crises through monitoring financial health and land finance [3]. - The system incorporates local government text analysis and public sentiment tracking to address local decision-making challenges, quantifying issues like "school district premium bubbles" [3]. - Marketing efficiency is enhanced by leveraging data on potential buyers, such as teachers and civil servants, to improve customer acquisition [3]. Group 3: Innovative Collaboration - A performance-based payment model is proposed, where service fees are contingent on the accuracy of property price recommendations and successful risk warnings [4]. - This model links AI value directly to business outcomes, fostering trust and encouraging deeper participation in system trials [4]. Group 4: Industry Trends - There is a consensus that AI will eliminate information barriers and push for service upgrades in the real estate sector [5]. - The industry is expected to undergo significant restructuring, with smaller developers lacking AI risk control capabilities likely to exit the market first [5]. - The future winners in regional markets will be those real estate companies that rapidly adopt AI technologies [5]. Group 5: Empirical Value of AI - The regional implementation of the Zhice Fangzhou system is based on three core values: deep understanding of local issues, sensitivity to policy changes, and a quantifiable effectiveness mechanism [9]. - The research provides critical empirical evidence for AI empowerment in regional economies and sets a benchmark for intelligent transformation in similar markets [9].