Shopping feedback method based on big data

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...

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

Images