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Method and system for automatically recommending property consultants to real estate customers

A real estate and customer technology, applied in the real estate network field, can solve problems such as customer churn, reduce customer churn rate, improve customer satisfaction and transaction rate

Inactive Publication Date: 2020-07-10
重庆锐云科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, real estate consultants do not know enough about the personality and preferences of customers, so they cannot provide customers with high-experience consulting services, and it is easy to cause customer loss

Method used

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  • Method and system for automatically recommending property consultants to real estate customers
  • Method and system for automatically recommending property consultants to real estate customers
  • Method and system for automatically recommending property consultants to real estate customers

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0046]In order to provide consulting services for customers in a more targeted manner and improve customer satisfaction, this embodiment provides a method for automatically recommending real estate consultants to real estate customers. By setting questionnaires, the real estate consultants are divided into four types according to their personality types; at the same time Obtain customer self-filled information: gender, hobbies, and customer online browsing behavior trajectory. Behavioral data includes: browsing decoration style, average daily browsing time, average daily browsing times, and the total number of browsing houses. Through the decision tree model Divide customers into four types according to personality. Then assign the best matching real estate consultants to different types of customers, so that real estate consultants can accurately grasp customer needs and correspond to customer preferences, thereby improving customer transaction rate and customer satisfaction, ...

Embodiment 2

[0134] On the basis of the above embodiments, this embodiment provides another method for automatically recommending real estate consultants to real estate customers, please refer to figure 2 , the method mainly includes the following steps:

[0135] S201. Acquiring the results of the questionnaire survey of real estate consultants;

[0136] S202. Determine the first personality type and the second personality type of the real estate consultant according to the questionnaire survey results;

[0137] S203. Obtain basic personal information of the customer;

[0138] S204. Classify the customer personality according to the decision tree model;

[0139] S205. Take the first personality type of the real estate consultant as the matching type;

[0140] S206. Match the real estate consultant for the client according to the matching rules;

[0141] S207. After the consultation is completed, the customer evaluates the satisfaction of the real estate consultant;

[0142] S208. Cal...

Embodiment 3

[0153] On the basis of the first and / or second embodiments above, this embodiment provides a system for automatically recommending real estate consultants to real estate customers. At least some of the steps of a method for automatically recommending a real estate advisor to a real estate client, see image 3 , the system includes a response module 31, an acquisition module 32, a first personality type determination module 33, a control module 34, a second personality type determination module 35, wherein:

[0154] The response module 31 is used to respond to the consulting request of the client to be recommended, and when receiving the consulting request of the client to be recommended, trigger the acquisition module 32 to obtain the personality type of the client to be recommended;

[0155] The first personality type determination module 33 is used to obtain the personal basic information of the customer to be recommended, including personal identity information, interest pr...

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Abstract

The invention provides a method and system for automatically recommending property consultants to real estate customers, and the method comprises the steps: obtaining the character type of a to-be-recommended customer when a consultation request of the to-be-recommended customer is received; according to a corresponding matching relationship between the customer personality type and the property consultant personality type, selecting a property consultant matched with the personality type of the to-be-recommended customer as a target property consultant so as to allocate the target property consultant to process a consultation request of the to-be-recommended customer. According to the scheme, personal information filled by a client and online browsing behavior data of the customer are combined; preference analysis is carried out on the customers, then the characters of the clients are classified, and the best matched property consultants corresponding to the customers are allocated, so that the property consultants can accurately grasp the demands of the customers and can correspond to the preferences of the customers, the satisfaction degree and the transaction rate of the customers are improved, the loss rate of the customers is reduced, and customized reception of the customers is realized.

Description

technical field [0001] The invention relates to the technical field of real estate networks, in particular to a method and system for automatically recommending real estate consultants to real estate clients. Background technique [0002] With the development of the Internet and the rise of online shopping, the real estate industry has also begun to enter a sales model that combines online sales and traditional offline sales. In addition to traditional offline reception, online consultation has also become common. Therefore, optimizing the online reception method and providing targeted services to customers is the focus of improving customer turnover rate and customer satisfaction. However, real estate consultants do not know enough about the personality and preferences of customers, so they cannot provide customers with high-experience consulting services, and it is easy to cause customer loss. Contents of the invention [0003] The method and system for automatically re...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06Q30/06G06Q50/16
CPCG06Q30/0202G06Q30/0281G06Q30/0631G06Q50/16
Inventor 李琦宋卫东
Owner 重庆锐云科技有限公司
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