Shopping feedback method based on big data

A big data and data technology, applied in the field of shopping feedback based on big data, can solve the problems of high labor cost, low execution efficiency and high error rate, and achieve the effect of improving activity efficiency

Pending Publication Date: 2021-10-08
智选数字技术(广州)股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Marketing companies need to hire a large number of staff to conduct on-site audits and rebates for end consumers' paper shopping receipts. At present, the traditional method of implementing marketing activities through on-site manual audits has high labor costs, low execution efficiency, high error rates, and subjective sexual problem

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  • Shopping feedback method based on big data
  • Shopping feedback method based on big data
  • Shopping feedback method based on big data

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Embodiment Construction

[0036] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments It is some embodiments of the present invention, but not all of them. Based on the implementation manners in the present invention, all other implementation manners obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0037] Accordingly, the detailed description of the embodiments of the invention, which is provided in the following figures, is not intended to limit the scope of the claimed invention but merely represents selected embodiments of the invention.

[0038] Traditionally, marketing companies need to hire a large number of s...

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PUM

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Abstract

The invention discloses a shopping feedback method based on big data, and the method comprises the steps of obtaining the shopping information of a consumer, carrying out the information extraction of the shopping information, carrying out the matching of the shopping information with a commodity name in a preset dictionary, and outputting the successfully matched shopping information; meanwhile, obtaining big data information in a preset consumption time period; if any one of the position track information and the video identification information in the preset consumption time period satisfies a preset consumption area and the feature code verification information in the preset consumption time period satisfies a preset detection device code, determining that the degree matching index satisfies a preset matching condition; correspondingly sending the activity sub-information in the preset dictionary to a management background; and enabling the management background to carry out shopping feedback. According to the invention, the problems of high labor cost, low execution efficiency, high error rate and high subjectivity of a manual auditing marketing activity execution method can be solved; and whether consumers meet activity requirements can be judged by combining a big data technology, so that the activity efficiency is improved.

Description

technical field [0001] The invention belongs to the field of big data, in particular to a shopping feedback method based on big data. Background technique [0002] Marketing companies need to hire a large number of staff to conduct on-site audits and rebates for end consumers' paper shopping receipts. At present, the traditional method of implementing marketing activities through on-site manual audits has high labor costs, low execution efficiency, high error rates, and subjective big problem. Contents of the invention [0003] The purpose of the present invention is to provide a shopping feedback method based on big data to solve the problem. [0004] The purpose of the present invention can be achieved through the following technical solutions: [0005] A shopping feedback method based on big data, comprising the following steps: [0006] (1) Obtain the shopping information of consumers, wherein the shopping information comes from paper vouchers; [0007] (2) Extract...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06Q30/02G06T5/00G06T5/30G06T7/11
CPCG06T5/30G06T7/11G06Q30/0207G06T5/70
Inventor 张凯高云峰
Owner 智选数字技术(广州)股份有限公司
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