"Beautiful House" is an APP that integrates housing and facilitates second-hand housing transactions. It was independently developed by Yi Ao, China. For customers who are anxious to buy or sell their houses, we can quickly match the houses with regional expert brokers, and solve these problems: false housing information, intermediary (without appointment) taking customers to see the house temporarily, contact information being leaked before entering the transaction link, constant consultation calls after selling the house, and unable to evaluate broker services. Beautiful house has two versions: client and agent, and the pilot scope is Beijing, Tianjin and Shanghai.
strong function
It mainly has the following characteristics:
1. Let the broker stay at home to help the owner sell the house: help the owner contact the regional expert broker and notify all the brokers who can help the owner sell the house as soon as possible.
2. Effectively protect the owner's contact information: provide the function of chatting with brokers. More importantly, when the owner calls the broker in the application, the application will help the owner hide the phone number through relay. To contact the owner, the broker must first make an appointment through the app.
3. Provide valuable house valuation: 30,000 brokers in Beijing and Tianjin provide real-life valuation online, as well as big data automatic valuation to provide effective market reference prices for owners before selling their houses.
4. the red envelope task stimulates the broker to see the house: it is not cost-effective to rush to sell the house, and it is not cost-effective to launch the red envelope task to stimulate the broker to see the house.
5. Broker service comments: The owner can score according to the service provided by the broker, and the service score and owner evaluation will appear in the data of each broker.
Beautiful House plans to add real-name authentication of brokers, V for excellent brokers, refinement of evaluation system of brokers and refinement of evaluation module functions in the next product iteration.