Core Insights - The article highlights the transformative impact of Beike's AI assistant "Laike" on real estate agents, enabling them to efficiently meet fragmented customer demands and improve transaction success rates in a challenging market environment [1][11]. Group 1: Market Context - The real estate market is experiencing high inventory and slow turnover, necessitating faster and more effective matching of properties with new owners [1][3]. - Since the fourth quarter of the previous year, the market has shown signs of recovery due to policy support, but challenges remain [1][3]. Group 2: Technology Empowerment - Beike's "Laike" system, launched in June 2024, is designed to empower agents by integrating deeply into the WeChat ecosystem, thus enhancing communication and trust with clients [3][4]. - The system addresses the issue of fragmented customer needs by utilizing AI to streamline the service chain and improve the efficiency of property matching [5][13]. Group 3: User Experience and Trust - The "Laike" system simplifies the process of connecting clients with certified agents, significantly reducing the steps required and enhancing trust through official verification [4][10]. - The introduction of a "Five Good Service Provider" evaluation mechanism encourages agents to improve service quality and build deeper emotional connections with clients [8][10]. Group 4: Performance Metrics - As of March 2025, the "Laike" system has supported over 259 million client interactions across more than 60 cities, demonstrating its effectiveness in enhancing agents' transaction rates [11][13]. - The AI-powered "Property Maintenance Assistant" complements the "Laike" system by improving the quality and exposure of property listings, benefiting over 400,000 homeowners [11][14]. Group 5: Future Directions - Beike continues to explore AI applications in the real estate sector, with products like "Pudding AI" aimed at providing intelligent solutions for diverse user needs [13][14]. - The integration of AI in key transaction processes, such as contract signing and post-sale services, has saved agents over 30,000 hours of work, showcasing the efficiency gains from human-AI collaboration [14].