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A user habit recording and recommending method for furniture retail

A recommendation method and furniture technology, applied in data processing applications, commerce, instruments, etc., can solve problems such as no way to share, achieve the effect of increasing purchase determination, increasing experience and desire to purchase, and improving purchase information

Inactive Publication Date: 2019-03-29
西安黑瞳信息科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

And these information often have no way to share information with other stores conveniently.

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0019] In order to have a further understanding and understanding of the structural features of the present invention and the achieved effects, the preferred embodiments are used for detailed descriptions, as follows:

[0020] (1) The customer enters any store and records the customer's FaceID through the face recognition system;

[0021] (2) If the customer has a transaction, record the purchase record corresponding to the customer's FaceID. The customer's purchase record includes the type of product purchased, the unit price, and the picture of the product;

[0022] (3) If the customer does not have a transaction, the customer's purchase intention and style preference will be manually entered by the shopping guide at the reception, and an intention record corresponding to the customer's FaceID will be generated. The customer's intention record also includes the customer's purchase intention;

[0023] (4) Set up a cloud server, and upload the customer's purchase records and i...

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PUM

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Abstract

A user habit recording and recommending method for furniture retail comprises the following steps: (1) recording a customer's FaceID through a face recognition system; (2) recording a purchase recordcorresponding to the customer's FaceID; (3) manually inputting the purchase intention and style preference of the customer and generating an intention record corresponding to the customer FaceID if the customer does not have a transaction; (4) establishing a cloud server, and uploading the purchase record and the intention record of the customer to the cloud server; (5) after the customer enters any store connected with the cloud server again, the FaceID of the customer is recognized by the face recognition system; (6) pushing the customer's purchase record and intent record to the receiving purchasing guide. The invention has the following beneficial effects: (1) The system mainly solves the problems of obstructing the store information of the furniture retail industry, increasing the purchase determination of the user, improving the transaction conversion rate of the user, and the like.

Description

technical field [0001] The invention relates to a method, in particular to a user habit recording and recommendation method for furniture retail. Background technique [0002] The furniture new retail industry is developing and changing at a high speed in the direction of "precision marketing" and "new tools". For traditional furniture stores, every user who enters the store needs to understand the user's needs, preferences, purchasing power, housing information and other important information through sales speech. And this information often has no way to share information with other stores very conveniently. [0003] At the same time, for users who have shown purchase intentions, merchants are also actively exploring new presentation tools to improve users' experience with products through display and graphic design, so as to help users quickly make up their minds to purchase. [0004] Therefore, the new furniture retail industry urgently needs a tool that can quickly sha...

Claims

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Application Information

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IPC IPC(8): G06Q30/02
CPCG06Q30/0255G06Q30/0268
Inventor 朱乐郝辉辉
Owner 西安黑瞳信息科技有限公司
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