Case study examines service efficiency improvement in property management, indicating potential for better data integration.
Artificial intelligence has been extensively deployed in the property-management sector, yielding significant improvements in service efficiency and reductions in operating expenditure. This paper examines the development of AI in the property management industry through a case study of Poly Property Services Co., Ltd., employing a multi-dimensional analytical approach to systematically and in-depth analyze the current application status, development trends, and potential challenges of AI in property management. It is found that there are problems such as insufficient depth of technology application and difficulties in data integration during the practice of intelligent management. In response to these problems, this paper puts forward targeted and operable countermeasure suggestions from the levels of technological innovation, talent cultivation, data governance, etc., including the construction of a collaborative platform for intelligent management and the improvement of the data security system. The research results of this paper not only furnishes a theoretical foundation and actionable guidance for the intelligent transformation of the property management industry, but also and fosters cross-sector collaboration the deep integration of artificial intelligence and the property management industry and strengthen the cooperation between industry, academia and research, which is of great practical significance for promoting the high-quality development of the property management industry.
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Xintong Guo (2025) studied this question.
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