
Core Viewpoint - The article emphasizes the transformative role of AI, specifically through the implementation of Agent intelligent systems, in enhancing operational efficiency and decision-making processes within the real estate and property management sectors, particularly for Longfor Group [5][6]. Group 1: AI Implementation and Impact - Longfor Group has integrated AI to address traditional inefficiencies, such as lengthy pricing approval processes that previously took 1-2 weeks, now reduced to a few hours with the use of intelligent agents [5][10]. - The introduction of Agent systems has significantly improved the efficiency of parking lot management, reducing manual audits from 100% to 17%, resulting in an 83% increase in audit efficiency and preventing millions in potential losses annually [15][13]. - The company has developed over 180 digital employees across various scenarios, including pricing models, contract reviews, and risk management, forming a comprehensive digital workforce [6][9]. Group 2: Specific Use Cases - The first successful application of an Agent was in pricing adjustments, where it simulated various pricing scenarios and provided recommendations, thus avoiding potential losses of millions [10][11]. - In property management, the Agent system has automated the identification of abnormal parking lot entries, leading to significant labor cost savings and improved compliance [15][16]. - The contract review process has been enhanced by Agents that automatically identify risks in complex commercial contracts, allowing staff to focus on critical issues [20][17]. Group 3: Challenges and Solutions - The primary challenge in implementing Agent technology is the need for a well-prepared knowledge base within the company, as the complexity of real estate rules and processes requires clear standard operating procedures (SOPs) [21][22]. - Data quality is crucial for the successful deployment of Agents, necessitating a unified digital framework to ensure high-quality data availability [21][22]. - The company has adopted a dual-role team approach, pairing AI product managers with business experts to ensure both technical feasibility and business relevance in project execution [28]. Group 4: Future Directions - Longfor Group plans to expand the use of Agents in internal management, commercial operations, and customer service, focusing on data-driven decision-making and enhanced user experiences [33][34]. - The company is also exploring multi-agent collaboration for complex tasks, demonstrating the potential for creating a virtual employee team that streamlines operations across departments [26][24].