A commodity classification management system

Abstract

The present invention relates to the technical field of commodity management, and in particular to a commodity classification management system, comprising a commodity information acquisition module for acquiring commodity information; a commodity classification module for classifying commodities based on the commodity information and generating a commodity classification table; a related product generation module for generating a related commodity table based on the commodity information; and a classification tree module for establishing a classification tree based on the commodity classification table and the related commodity table. The system can scientifically and rationally classify commodities and cater to consumers' purchasing preferences through reasonable commodity classification, thereby increasing commodity sales.

Description

Technical Field

[0001] The present invention relates to the technical field of commodity management, and in particular to a commodity classification management system. Background Art

[0002] There are many kinds of goods in the market. In order to facilitate consumers' purchases, manufacturers' production and operation management, and the normal circulation of goods, a large number of goods need to be reasonably and scientifically classified. The classification of goods is the premise of realizing modern management and a way to improve the level of business management. In addition, the classification of goods has a good promoting effect on the sales of goods. However, the existing commodity classification management only focuses on the reasonable classification of each individual commodity, which only plays a guiding role when consumers are looking for goods. It is unable to use the classification of goods to cater to the purchasing tendency of consumers when they are looking for the goods, thus failing to increase the sales volume of goods in the process of sales. Summary of the Invention

[0003] The present invention provides a commodity classification management system that can classify commodities scientifically and reasonably, and cater to consumers' purchasing tendencies through reasonable classification of commodities, thereby increasing commodity sales.

[0004] The basic solution provided by the present invention is:

[0005] A commodity classification management system, comprising a commodity information acquisition module, a commodity classification module, a related product generation module and a classification tree module;

[0006] The commodity information acquisition module is used to acquire commodity information;

[0007] The commodity classification module is used to classify commodities according to commodity information and generate a commodity classification table;

[0008] The related product generation module is used to generate a related product table based on product information;

[0009] The classification tree module is used to establish a classification tree based on the commodity classification table and the associated commodity table.

[0010] The principles and advantages of the present invention are that related products facilitate consumers' purchases and increase product sales. The configuration of related products can cater to customers' consumption tendencies in purchasing. Therefore, this solution generates a related product table based on product information and refers to the related product table when establishing a classification tree. This is to address the existing technology that limits the classification of products to the reasonable classification of individual products, making reasonable improvements to promote product sales. In summary, this solution can scientifically and reasonably classify products and cater to consumers' purchasing tendencies through reasonable classification of products, thereby increasing product sales.

[0011] Furthermore, the information of the product includes category information and detail information, and the category information includes product function and product name;

[0012] The commodity classification module is used to classify commodities according to their category information.

[0013] Beneficial effects: There is a lot of information about products, so in this solution, products are directly classified according to their functions and names, ensuring the rationality of product classification while reducing system workload.

[0014] Furthermore, the product information acquisition module includes a product information collection module, a consumer information collection module and a function adjustment module;

[0015] The product information collection module is used to collect product names, product functions and detailed information of the product;

[0016] The consumer information collection module is used to collect consumers' knowledge of product functions;

[0017] The function adjustment module is used to adjust the product functions collected by the product information collection module according to consumers' cognition of product functions.

[0018] Beneficial Effects: Professionals and ordinary consumers may have different classification perceptions of the same product, but ultimately, product sales must cater to consumers. When professionals fail to find a product based on their professional classification perceptions, they can revisit the perspective of ordinary consumers and search for the product in other categories. However, for consumers, after failing to find the product based on their own classification perceptions, it is difficult for them to develop a new understanding of the product classification from a professional perspective, which may result in them being unable to find the product they need, hindering product sales. Therefore, in this solution, product functions are adjusted based on consumers' functional perceptions to establish a classification tree, making it easier for consumers to find products quickly and promoting product sales.

[0019] Furthermore, the consumer information acquisition module includes a consumer population acquisition module and a function recognition acquisition module;

[0020] The consumer group acquisition module is used to obtain the consumer group information of the product;

[0021] The function cognition collection module is used to collect consumers' cognition of product functions based on the consumer group information of the product.

[0022] Beneficial effects: The public may have different perceptions of the classification of the same product. Therefore, in this solution, based on the consumer group information of the product, consumers' perceptions of product functions are collected, which is conducive to reasonable adjustment of product functions.

[0023] Furthermore, the detailed information of the product includes product price, product model, product image and product rate.

[0024] Beneficial effects: Collecting more comprehensive detailed information about products is conducive to providing a more detailed introduction to the products.

[0025] Furthermore, the classification tree module includes a classification table acquisition module, a classification tree establishment module, a related product acquisition module and a classification tree adjustment module;

[0026] The classification table acquisition module is used to obtain the commodity classification table;

[0027] The classification tree establishment module is used to establish a classification tree according to the commodity classification table; the classification tree includes a root node and leaf nodes, and the commodity is located at the leaf node;

[0028] The associated product acquisition module is configured to acquire the associated product table; the associated product table includes products and associated products corresponding to the products;

[0029] The classification tree adjustment module is used to add information about associated commodities corresponding to the commodity in the leaf nodes of the classification tree.

[0030] Beneficial effects: This solution can facilitate consumers to view related products when they view their target products, which is conducive to fully utilizing consumers' purchasing desire and increasing the sales of related products.

[0031] Furthermore, the information of the related products includes hyperlinks to the related products.

[0032] Beneficial effect: It is convenient for users to quickly access related products through the hyperlink. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 This is a logical block diagram of a commodity classification management system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0034] The following is further described in detail through specific implementation methods:

[0035] Example 1:

[0036] Example 1 is basically as shown in the attached Figure 1 As shown:

[0037] A commodity classification management system includes a commodity information acquisition module, a commodity classification module, a related product generation module and a classification tree module.

[0038] The product information acquisition module is used to acquire product information. This product information includes category information and detailed information. In this embodiment, the category information includes product functions and product names, and the detailed information includes product prices, product models, product images, and product rates. The product information acquisition module includes a product information collection module, a consumer information collection module, and a function adjustment module.

[0039] The product information collection module is used to collect product names, product functions, product prices, product models, product images and product rates.

[0040] The consumer information collection module is used to collect consumers' cognition of product functions. The consumer information collection module includes a consumer group acquisition module and a functional cognition acquisition module. The consumer group acquisition module is used to obtain the consumer group information of the product. In this embodiment, the consumer group information includes the consumer type and the proportion of each type of consumer. For example, the consumer groups of Bluetooth headsets are young people, middle-aged people and elderly people, accounting for 80%, 19% and 1% respectively. The functional cognition collection module is used to collect consumers' cognition of product functions based on the consumer group information of the product. In this embodiment, the product functional cognition of the consumer group with the highest proportion is collected, that is, for the above-mentioned Bluetooth headsets, the product functional cognition of young people is collected.

[0041] The function adjustment module is used to adjust the product function collected by the product information collection module according to the consumer's product function cognition. In this embodiment, when the product function cognition collected by the function cognition collection module is inconsistent with the product function collected by the product information collection module, and the proportion of consumers with the same product function cognition exceeds a proportion threshold, such as 50%, the product function is modified to the product function cognition with the highest proportion in consumer cognition. For example, the product function of the Bluetooth headset collected by the product information collection module is an electronic product accessory, and more than 50% of young people perceive the product function of the Bluetooth headset as an audio and video receiving device, then the product function of the Bluetooth headset is modified to an audio and video receiving device.

[0042] The commodity classification module is used to classify commodities according to commodity functions and commodity names and generate a commodity classification table.

[0043] The associated product generation module is used to generate an associated product table based on product information. For example, the associated products of a Bluetooth headset include earplugs and earphone covers.

[0044] The classification tree module is used to establish a classification tree based on the commodity classification table and the associated commodity table. The classification tree module includes a classification table acquisition module, a classification tree establishment module, an associated commodity acquisition module and a classification tree adjustment module.

[0045] The classification table acquisition module is used to obtain the commodity classification table.

[0046] The classification tree building module is used to build a classification tree based on the commodity classification table; the classification tree includes a root node and leaf nodes, and the commodities are located in the leaf nodes. Specifically, the leaf nodes include the commodity name and detailed information of the commodity.

[0047] The associated product acquisition module is configured to acquire the associated product table; the associated product table includes products and associated products corresponding to the products.

[0048] The classification tree adjustment module is used to add information about related products corresponding to the product in the leaf nodes of the classification tree. In this embodiment, the information about related products includes the name of the related product and a hyperlink to the related product.

[0049] The above are only embodiments of the present invention. Common knowledge such as the known specific structures and characteristics in the scheme are not described in detail here. Ordinary technicians in the field are aware of all common technical knowledge in the technical field of the invention before the application date or priority date, can obtain all existing technologies in the field, and have the ability to apply conventional experimental means before that date. Ordinary technicians in the field can improve and implement this scheme in combination with their own abilities under the inspiration given by this application. Some typical known structures or known methods should not become obstacles for ordinary technicians in the field to implement this application. It should be pointed out that for those skilled in the art, without departing from the structure of the present invention, several variations and improvements can be made, which should also be regarded as the scope of protection of the present invention. These will not affect the effect of the implementation of the present invention and the practicality of the patent. The scope of protection required by this application shall be based on the content of its claims, and the specific implementation methods and other records in the specification can be used to interpret the content of the claims.

Claims

1. A commodity classification management system, characterized by: It includes product information acquisition module, product classification module, related product generation module and classification tree module; The commodity information acquisition module is used to acquire commodity information, including a commodity information acquisition module, a consumer information acquisition module and a function adjustment module; The product information collection module is used to collect product names, product functions and detailed information of the product; The consumer information collection module is used to collect consumers' knowledge of product functions, including a consumer group acquisition module and a function knowledge collection module; The consumer group acquisition module is used to obtain the consumer group information of the product; The function cognition collection module is used to collect consumers' product function cognition based on the consumer group information of the product; The function adjustment module is used to adjust the product functions collected by the product information collection module according to consumers' cognition of product functions; The commodity classification module is used to classify commodities according to commodity information and generate a commodity classification table; the commodity information includes category information and detail information, and the category information includes commodity function and commodity name; The related product generation module is used to generate a related product table based on product information; The classification tree module is used to establish a classification tree based on the commodity classification table and the associated commodity table; The commodity classification module is used to classify commodities according to their category information; the classification tree module includes a classification table acquisition module, a classification tree establishment module, a related commodity acquisition module and a classification tree adjustment module; The classification table acquisition module is used to obtain the commodity classification table; The classification tree establishment module is used to establish a classification tree according to the commodity classification table; the classification tree includes a root node and leaf nodes, and the commodity is located at the leaf node; The associated product acquisition module is used to acquire the associated product table; The related product table includes products and related products corresponding to the products; The classification tree adjustment module is used to add information about associated commodities corresponding to the commodity in the leaf nodes of the classification tree.

2. The commodity classification management system according to claim 1, characterized in that: The detailed information of the product includes product price, product model, product image and product rate.

3. The commodity classification management system according to claim 1, characterized in that: The information about the related products includes a hyperlink to the related products.

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