Commodity data intelligent detection system

Abstract

The invention provides a commodity data intelligent detection system. The system comprises a commodity category module which is used for dividing commodities into a plurality of categories according to the attributes of the commodities; a commodity attribute management module is used for storing commodity information and adding the commodity information into commodity categories; a commodity brand management module marks a plurality of brands in the same commodity; a commodity adding module is used for selecting categories of commodities according to the commodity category module and then importing newly-added commodity information into the commodity attribute management module, the commodity brand management module is used for marking brands in the newly-added commodity information, and the commodity adding module is used for displaying the newly-added commodity information to the terminal display module; a commodity terminal classification module is used for classifying commodities and sending commodity information to the terminal display module. Therefore, automatic and intelligent commodity management is realized, and the cost is saved.

Description

technical field [0001] The invention relates to the technical field of commodity management, in particular to an intelligent detection system for commodity data. Background technique [0002] In the marketing of modern society, due to the diversification of data in the information age, the marketing method based on human management is limited. For example, equipment resources cannot be used reasonably, and managers cannot grasp various dynamic data in real time. Moreover, although the existing marketing system can collect user information, it lacks analysis and segmentation of user groups; it lacks automated marketing tools, and the work efficiency is low; it lacks management, tracking and evaluation of event planning; it lacks users and employees. , The effective information interaction and management of the three parties of the manager. [0003] In addition, the traditional marketing system acquires data in a single way, the depth of data analysis is not enough, and the d...

AI Technical Summary

Problems solved by technology

[0002]Marketing in modern society, due to the diversification of data in the information age, the marketing method based on human management is limited. For example, equipment resources cannot be used reasonably, and managers cannot Real-time grasp of various dynamic data, etc.

Moreover, although the existing marketing system can collect user information, it lacks the analysis and segmentation of user groups; lacks automated marketing tools and low work efficiency; lacks management, tracking and evaluation of event planning; lacks users and employees Effective information interaction and management of the three parties

[0003] In addition, the traditional marketing system acquires data in a single way, the depth of data analysis is not enough, and the display of analysis results is not detailed

Moreover, transaction information, user information, orders, etc. are all entered manually. The manual input method cannot cover various channels of marketing information, marketing performance, and cannot count the customer situation of the store, the usage of the product by the customer, etc., thus Lead to lack of information, affecting marketing methods and market promotion

In addition, manual input consumes a lot of manpower and time, is time-consuming, laborious, inefficient, and cannot accurately collect and process various information and give timely feedback

[0004]Furthermore, the traditional marketing system only monitors and counts the marketing data of products, and the evaluation and processing methods are simplified, making it difficult to understand the preferences and tendencies of users. Combination of products and sales

Often an order is associated with only one product, and there is no way to know whether the customer's preferences and product settings are reasonable. For example, timely and accurate push services to customers cannot be realized, resulting in restrictions on large-scale marketing activities and business expansion.

In the current marketing system, there is no marketing method aimed at the interactive behavior of users, employees, and managers.

[0005]Moreover, the traditional marketing system cannot stop pushing inferior marketing products in time, and the recommendation is too frequent, which leads to the resistance of users and affects their use; Actual demand suspends receiving marketing product push

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