Group 1 - Players can recruit celestial servants by consuming food in the game, with the food requirement increasing after each successful recruitment but capped at a certain limit [1][5] - Multiple recruitments are allowed, enabling players to have several celestial servants simultaneously, which aids in enhancing training efficiency and the operation of the cave [1][5] Group 2 - Celestial servants assist in producing various resources such as spirit stones, food, wood, and meteorite iron within the cave [4][7] - The system automatically generates resources through the recruitment of celestial servants, with higher numbers leading to increased efficiency [4][7] - Celestial servants consume food while working, and production can only proceed if the warehouse is not full; once the capacity is reached, production halts [4][7] Group 3 - Upgrading the warehouse increases storage capacity, allowing for more resources to be accumulated and generated, thus creating a stable resource cycle [4][8] - An upgraded warehouse can accommodate more celestial servants for collaborative production, significantly enhancing production efficiency [8]

Core Insights - The conference focused on new technologies, products, and solutions to provide forward-looking guidance for industrial development [2] Group 1: Company Overview - Wanwuyun's "Lingstone" is an AI-driven solution for real estate, aimed at enhancing space service intelligence and achieving cost reduction in property management [2] - The "Lingstone" product integrates hardware, systems, and computing power to offer smart low-carbon operational solutions across various scenarios, including residential, commercial, and public spaces [2] Group 2: Application and Impact - In the Shenzhen Chuangzhi Cloud Center, "Lingstone" achieved a 19.4% reduction in air conditioning energy consumption and an 11% decrease in corporate carbon emissions without affecting temperature perception [3] - Wanwuyun has established 47 benchmark "Lingstone" projects across 20 core cities in China, covering various sectors and has deployed over 800 "Lingstone" nodes [3] Group 3: Business Model Innovation - The company introduced a flexible rental model for "Lingstone," allowing clients to "hire" a digital employee for 18,000 yuan per month, significantly lowering the entry barrier for AI management applications [3]

Core Viewpoint - The property management industry is undergoing significant transformation in 2025, shifting from traditional service models to asset management and specialized operational strategies to enhance profitability and service differentiation [3][6]. Group 1: Industry Trends - Property management companies are evolving from basic service providers to asset operators, focusing on creating diverse revenue streams through innovative service models [3][6]. - The industry is moving away from homogeneous competition towards differentiated development based on core competencies, emphasizing the need for specialized and vertical service offerings [3][6]. Group 2: Company Strategies - Poly Property has introduced the "All-Domain Scenic City" model, integrating property services with cultural tourism to create new profit models [3][6]. - Wanwu Cloud is transitioning from traditional property management to asset services, utilizing AI and low-carbon solutions to enhance operational efficiency and tenant satisfaction [7][8]. - Country Garden Services is concentrating on basic services, particularly in managing old residential communities, addressing common issues such as outdated facilities and low resident satisfaction [11][12]. Group 3: Case Studies - Poly Property's management of the Xichong scenic area has transformed it from a simple tourist spot into a comprehensive experience destination, increasing secondary consumption by 78% within six months [5][6]. - Wanwu Cloud's "Ling Stone 3.0" solution has improved operational efficiency significantly, achieving a 95% increase in inspection efficiency at certain projects [8][9]. - Country Garden Services has implemented various value-added services in old communities, such as community retail and home maintenance, to create sustainable revenue streams [12][13].

Core Viewpoint - The company has launched the comprehensive commercialization of its "Lingstone 3.0" product, focusing on smart and low-carbon solutions to transition from a service-oriented model to a technology-driven approach in property management [1][2]. Group 1: Product Development and Features - "Lingstone 3.0" is positioned as the "AI brain for real estate management," integrating with various partners to form the "Lingstone Ecological Alliance" [1]. - The product has achieved commercial application in 44 scenarios and connects energy hardware clusters, enhancing energy management capabilities [2]. - The introduction of energy flow processing is key to helping property owners reduce costs and increase rental income through smart control of HVAC, elevators, and lighting [2]. Group 2: Financial Impact and ESG Opportunities - The company aims to leverage "Lingstone" for green finance and carbon trading opportunities, with high ESG-rated companies potentially reducing financing costs by 15% [3]. - A project at the company's headquarters demonstrated a return of 987,000 yuan from an investment of 215,000 yuan, showcasing the financial benefits of energy management [2]. Group 3: Future Plans and Market Expansion - The company plans to deploy 100,000 "Lingstone" devices nationwide, with a rental model priced at 18,000 yuan per month, promoting the concept of a "digital employee" [3]. - The strategic goal is to enhance property management efficiency and sustainability, transitioning from a service-focused model to a technology-driven approach [3].

Core Insights - The property management industry is undergoing significant transformation driven by the need for digitalization and AI integration to address operational challenges and enhance service quality [3][4][8] Group 1: Industry Challenges - 50% of leading property companies have implemented AI large models, but face issues such as data fragmentation, insufficient industry knowledge structuring, data silos, real-time bottlenecks, and balancing security with efficiency [3][8] - The industry is experiencing a dual pressure of rising labor costs and declining revenue, leading to a negative spiral in service quality and overall revenue [4] - The average annual digital investment by leading property companies has reached tens of millions, yet the industry still struggles with imbalances in investment and output, service capability gaps, and dormant data assets [3][4] Group 2: AI Integration and Opportunities - The CEO of CRIC Group highlighted three transformation paths for the property service industry driven by AI: enhanced intelligent service response, predictive maintenance loops, and upgraded operational management centers [3] - A survey indicated that 92.86% of leading property companies are highly focused on the implementation of AI large models in 2024, with 42.86% already applying them in specific business scenarios [4] - CRIC has launched an AI assistant specifically for property companies, which provides standardized intelligent services and customizable AI solutions, aiming to bridge the gap between AI platforms and practical applications [9] Group 3: Innovations and Future Directions - Vanke Property has successfully implemented a "human + machine + remote operation" service model across over 3,000 communities, showcasing a leading example of smart community governance [7] - The concept of "good houses" has been emphasized in government reports, highlighting the importance of smart, safe, and green living environments, with AI technology being a key driver for this initiative [8] - CRIC aims to leverage its data asset transformation capabilities, scene penetration abilities, and ecological evolution to establish a competitive advantage in the property AI collaboration space [9]