Over Half of Listed Property Management Companies Are Using! DingTalk AI Helps Property Firms Rebuild Core Competitiveness

On February 5, the "Hangzhou Property Management Association 2025 Member Conference and Property Industry Ding Summit" was held at Alibaba's Xixi Campus. Zhang Zhenhua, Deputy Director of the Hangzhou Housing Security and Real Estate Administration, officials from the property association, and representatives from over 400 property service companies across the city attended the event to jointly explore a new chapter in industry development.

Zhang Zhenhua: Focus on Service, Safety, and Co-Governance to Promote High-Quality Industry Development

Zhang Zhenhua, member of the Party Leadership Group and Deputy Director of the Hangzhou Housing Security and Real Estate Administration, delivered a keynote speech. With 2026 marking the beginning of the "15th Five-Year Plan" period, he proposed three key initiatives: First, prioritize people-centered services by enhancing service quality through targeted actions and contract compliance campaigns to elevate overall standards. Second, strengthen resilient and safe communities by focusing on fire safety installations, facility equipment, electric bicycle charging and parking, and elevator safety. Third, advance collaborative governance by requiring project managers to report to townships, streets, and community authorities, deeply integrating into grassroots governance systems to continuously resolve disputes within the property sector.

DingTalk Becomes Top Choice for Digital Transformation, Adopted by Over Half of Listed Property Companies

Data shows that DingTalk has become the core platform for digital transformation in the property industry, with 33 out of 64 listed property companies—more than 50%—using its services. Among the top ten leading enterprises in the sector, five are currently leveraging DingTalk, including major players such as Greentown Property, Country Garden Services, and Longfor Services.

Yang Meng, President of DingTalk Commercial, noted in his speech that China’s national "15th Five-Year Plan" explicitly mentions “property” for the first time, promoting policy-driven mechanisms for value-based pricing. This is accelerating a fundamental shift in the industry's underlying logic, placing property services at a critical juncture of high-quality development.

Yang Meng, President of DingTalk Commercial

He emphasized that the core value of AI lies not in replacing human labor, but in transforming property staff's "tacit knowledge" into "explicit capabilities," freeing up employees to focus on more personalized, human-centered services. DingTalk aims to be a trusted partner and foundational platform for the property industry in the AI era, jointly exploring new models of human-AI collaboration.

DingTalk Launches AI Solutions to Enhance Owner Satisfaction, Professional Management, and Operational Execution

Xiao Xinhe, Industry Director for Real Estate and Property at DingTalk, outlined DingTalk’s AI implementation strategy centered on three core goals: owner satisfaction, professional management, and effective operational execution.

In owner services, the DingTalk AI Concierge can respond around-the-clock to common inquiries and assist in generating professional reply suggestions. For repair requests and issue reporting, users can quickly create work orders via chat input, photo uploads, or voice notes, with intelligent dispatching ensuring full transparency throughout the service process.

Xiao Xinhe, Industry Director for Real Estate and Property at DingTalk

To enhance concierge capabilities, DingTalk introduced an "AI Coach" model. At Longfor Services, for example, new concierges need only seven conversations with AI on average to master essential skills like fee collection, achieving training satisfaction rates above 90%. AI also supports customer segmentation, accurately identifying delinquent accounts and offering tailored communication strategies.

For operational execution, DingTalk embeds service standards directly into workflows. AI-powered automatic quality inspections detect violations such as falsified satisfaction surveys, while deep analysis of interaction data reveals genuine owner needs, supporting data-driven decision-making. Additionally, AI contributes to value-added services and cost control—identifying business opportunities and deploying "digital employees" to handle repetitive tasks, significantly improving workforce efficiency.

A case in point is Country Garden, which used DingTalk's AI-powered spreadsheet tool to build an AI site inspection management system in just two days, creating a closed-loop process from requirement to deployment. Field inspectors simply take photos of issues and provide brief descriptions; the system automatically categorizes them (e.g., under "Four Protections and One Service"), refines the description, and assigns responsibility—greatly improving both accuracy and efficiency.

With dual drivers of policy support and technological innovation, the property industry's journey toward intelligent transformation has entered a phase of deeper practical implementation. As the platform of choice for over half of the leading enterprises, DingTalk will continue strengthening its digital foundation, enriching scenario-specific solutions, and partnering with property companies to meet future challenges and embrace an intelligent new era together.

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