房地产供求关系深度调整，大数据和AI如何造出“好房子”？

Core Insights - Beike's subsidiary, Beihome, has launched a C2M full-chain solution aimed at transforming the real estate market by better aligning housing supply with market demand [1] - The real estate market is shifting from a seller's market to a buyer's market, with second-hand home transactions in key cities rising to approximately 73%, and in some cities exceeding 80% [1] - The C2M model leverages big data and AI to analyze customer needs and predict housing price trends before project development, providing solutions for product positioning, unit mix, and pricing strategies [1] Industry Trends - The real estate market is experiencing a significant transition, characterized by longer decision-making cycles for buyers and an increase in property viewings [1] - The supply of housing continues to grow, indicating a shift in the supply-demand relationship within the market [1] - Beihome has implemented 17 projects in major cities such as Beijing, Shanghai, and Guangzhou, collaborating with notable developers like China Overseas Land & Investment and China State Construction Engineering [2] Challenges - Experts highlight that the C2M model may face common challenges such as funding pressures, supply chain integration, and brand competition, which could be exacerbated in the real estate sector due to its high product value and complex supply chains [2]