Potential customer behavior analysis method and system based on face recognition

A behavioral analysis, potential technology, applied in the field of information analysis, to achieve the effect of improving coverage and improving efficiency

Pending Publication Date: 2020-05-19
武汉零客思唯科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, for potential customers (non-members or customers without purchase records), there is little in the prior art from the perspective of analyzing the behavior of potential customers to the store to help marketers carry out further marketing activities for potential customers

Method used

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  • Potential customer behavior analysis method and system based on face recognition
  • Potential customer behavior analysis method and system based on face recognition
  • Potential customer behavior analysis method and system based on face recognition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0044] (1) Install the camera in advance, and bind the area captured by the camera with the type of goods placed in the area in the background; set the information template received by the clerk terminal, and the content of the template can be customized according to the fields in the customer information database. Formulate information template A and information template B for potential customers and non-potential customers;

[0045] (2) When a customer enters the store, the cameras in each area of ​​the store will take pictures of the customers who arrive at the store. When the camera detects a face image, it will send the face image to the facial feature extraction unit, and the facial feature extraction unit will take the face The feature information of the image is extracted and the face data is generated and sent to the central server;

[0046] (3) The central server compares the received face features through the face database, and if there is the person information, th...

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PUM

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Abstract

The invention provides a potential customer behavior analysis method and a potential customer behavior analysis system based on face recognition. The potential customer behavior analysis method comprises the steps of: photographing a customer arriving at a store by means of a camera, extracting feature information and generating face data when a face image is detected, comparing the face data withexisting face data, analyzing the data according to a matching result, if the customer is a potential customer, outputting sorting information and sending an information template A to a shop assistant terminal at the same time, and if the customer is not the potential customer, sending an information template B to the shop assistant terminal; and creating a customer information table for the customer upon unsuccessful matching, and outputting and storing sequencing information. Therefore, recommendation for potential customers is realized, the coverage of recommended crowds is improved, the behavior of the user is recorded and analyzed based on face recognition instead of only performing business analysis recommendation on purchase records of existing member customers, an effective recommendation result is obtained, and meanwhile, data support is provided for developing new members of the store and improving the sales efficiency.

Description

technical field [0001] The invention relates to a potential customer behavior analysis method and system based on face recognition, belonging to the technical field of information analysis. Background technique [0002] As face recognition technology has become more and more mature, many fields have begun to apply face recognition technology to actual scenarios. [0003] At present, in some shopping malls, such as brand counters and brand exclusive stores, it is difficult for the clerk to take care of every customer who comes to the store when the customer flow is large. After the customers who have not been received by the clerk enter the store to browse the products, they leave without leaving any information. Leaving the store will lead to the loss of some customers. When the customer enters the store for the second time, if there is still no clerk to receive them, the churn rate of customers in the store will be higher, and the customer shopping experience will not be go...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06K9/00G06K9/62G06F16/583
CPCG06Q30/0201G06F16/583G06V40/168G06F18/22
Inventor 魏泉冷杨名赵灵希
Owner 武汉零客思唯科技有限公司
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