Background in the property management industryWith the rapid development of the property industry brought about by the development of urbanization and the rise of the real estate market, the scale of the property market and the number of employees have been rapidly expanded and increased, and the main revenue in 2020 is 12 trillion, and it is expected to exceed 2 trillion by 25 years. The rapid development of mobile Internet, Internet of Things, artificial intelligence, and AI technology has brought about the continuous emergence of innovation in the property industry, and the smart property management system is gradually changing the traditional property service model.
With the continuous development of science and technology, more and more property companies have begun to introduce intelligent management systems, which are based on big data and cloud computing technology, which can not only improve the efficiency of property management, but also help property companies achieve the goal of reducing costs and increasing efficiency. So,How do property companies achieve this through smart property management systems?
Boost productivityIn the traditional property service process, staff need to spend a lot of time and energy to deal with various tedious daily tasks, such as collecting property fees, handling property owners' complaints, maintaining public facilities, etc. The smart property management system can be passedAutomationway, these tasks will be greatly simplified.
For example, the system canAuto-calculatestrata fee, reminding the owner to pay the fee; With IoT technology, the system can:Real-time monitoringThe use of public facilities, timely detection and treatment of problems. This not only reduces the workload of the staff, but also improves the work efficiency.
Overhaul and maintenance of property and public facilities.
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Optimize resource allocationIn the traditional property service process, due to information asymmetry, it is often difficult for property companies to accurately understand and manage resources. The smart property management system can be analyzed in real time through big data analysisStay on top of how resources are being usedfor accurate resource allocation.
For example, the system can adjust the maintenance and renewal schedule of each utility based on its usage; Through the analysis of the needs of the owners, the system can provide even morePersonalized service。This can not only improve the efficiency of resource use, but also reduce the operating costs of the property company.
Esoft Zhilian helps properties manage facilities and equipment in real time.
Improve the quality of serviceIn the process of traditional property services, due to the untimely transmission of information, it is often difficult for property companies to meet the needs of owners. The smart property management system can achieve real-time communication with the owners through mobile Internet technologyUnderstand and meet the needs of owners in a timely manner
For example, owners can:via mobile appInquire about property information and submit service requests at any time; Strata companies can toothrough the system, quickly respond to the needs of owners and provide quality services. This will not only improve the satisfaction of the owners, but also enhance the brand image of the property company.
Property quality inspection, smart inspection***
Conclusion
The smart property management system provides an effective way for property companies to reduce costs and increase efficiency by improving work efficiency, optimizing resource allocation and improving service quality.
Finally, to make full use of the smart property management system, property companies also need to pay attention to the following points:
It is necessary to pay attention to the selection and customization of the system to ensure that the system can meet its own business needs; It is necessary to pay attention to the operation and maintenance and upgrading of the system to ensure the stable operation of the system; It is necessary to pay attention to data security and privacy protection to avoid the risks caused by data leakage.
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