The daily patrol inspection work, incident and repair reports and responses to the reports, work contents and quality of employees of property management companies can be comprehensively visualized. The shortcomings of property management and the unnoticed work scopes of employees can be found by using the visualized data. The performance of employees can be used to stimulate employees to improve their service quality.  

The labor expenses and consumable expenses arising from property repair and maintenance can be apportioned among some specific items (public items or a specific account). On one hand, the repair and maintenance costs of devices can be accurately controlled and they can be used as effective evidences to prove whether some devices should be scrapped ahead of schedule. On the other hand, the expense calculation becomes more accurate, property management companies can formulate reasonable strategies to control major expenses and save the management cost of property management companies. Besides, after the relation is established, the repair cost of each device will be calculated independently. If a device is frequently repaired, some relevant countermeasures can be taken to enhance the management efficiency.  

This product provides an intelligent billing module. The module can automatically calculate the property management fee that should be paid by each household according to a preset formula. It automatically include the payment of each home owner in a corresponding payment period to facilitate the financial work. Meanwhile, it provides payment reminders through multiple channels such as Alipay, WeChat and text messages to further improve the payment rate of the property management fee.  

The information about each household of an apartment building complex managed by a property management company can be included in the big data. The commercial value of a property management company can be effectively expanded through accurate advertising and a good business model. Closely combining the excellent offline exposure positions and the online traffic, with close online and offline interaction, the product brings a good business model and new income growth points to property management companies.