CN111429179A - E-commerce product classification system and classification method thereof - Google Patents
E-commerce product classification system and classification method thereof Download PDFInfo
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Abstract
The invention discloses an e-commerce product classification system and a classification method thereof, wherein the e-commerce product classification system comprises an e-commerce channel analysis unit and an e-commerce product information acquisition unit, wherein the e-commerce channel analysis unit is used for selecting corresponding e-commerce channels in a classification manner, combining e-commerce products and selling the e-commerce products on line and off line and then classifying the e-commerce products; the E-commerce channel analysis unit is used for collecting browsing records of the customers and extracting key information in the browsing records to form a database; and the classification selection of the corresponding e-commerce channel is to compare the information data browsed by the user in the e-commerce channel with the information of the e-commerce product to be sold, and the product is matched with the corresponding e-commerce channel when the similarity is high.
Description
Technical Field
The invention relates to the field of e-commerce, in particular to an e-commerce product classification system and a classification method thereof.
Background
Electronic commerce, called e-commerce for short, refers to transaction activities and related service activities performed in an electronic transaction manner on the Internet (Internet), an Intranet (Intranet) and a Value Added Network (VAN), and is electronization and networking of each link of the traditional business activities. Electronic commerce includes electronic money exchange, supply chain management, electronic transaction marketing, network marketing, online transaction processing, electronic data Exchange (EDI), inventory management, and automated data collection systems. In this process, information technologies utilized include: internet, extranet, email, database, electronic directory and mobile phone.
The classification of electronic goods and services has very important significance in products, so that both parties can quickly find out the concerned categories, and the platform can clearly position the service range of the platform; the service range is determined undoubtedly by class definition and display, and in most platforms, the class definition can be performed only by the platform, so that the platform standardizes a basic product data structure and has strong control capability on platform management. In defining the categories, the specialized terms and scopes related to the goods and services, such as SPU, SKU, specification, attribute, brand, stock, are also defined synchronously; the definition of these basic terms ranges directly specifies and influences the range of services provided by the platform.
Disclosure of Invention
The invention aims to provide a classification system and a classification method for E-commerce products, and aims to solve the problem of classification of E-commerce products.
In order to solve the technical problems, the technical scheme of the invention is as follows:
an e-commerce product classification system comprises an e-commerce channel analysis unit, a classification unit and a classification unit, wherein the e-commerce channel analysis unit is used for analyzing an e-commerce channel; the E-commerce product information acquisition unit is used for acquiring E-commerce product information; the comparison and analysis unit is used for selecting corresponding e-commerce channels, e-commerce product combinations in a classified manner, selling the e-commerce products on line and off line and then classifying the e-commerce products; the E-commerce channel analysis unit is used for collecting browsing records of the customers and extracting key information in the browsing records to form a database; and the comparison and analysis unit selects corresponding e-commerce channels in a classified manner, compares the information data browsed by the user in the e-commerce channels with the information of the e-commerce products to be sold, and matches the products to the corresponding e-commerce channels when the similarity is high.
An e-commerce product classification method comprises the following steps:
s1, analyzing an E-commerce channel; the method comprises the steps that the requirements of various E-commerce channels on E-commerce products are known through analyzing customer requirement information provided by E-commerce and collected by the E-commerce channels;
s2, collecting the E-commerce product information; differentiating the commercial products through the name keywords and the actual function utility;
s3, comparing the fitness of the commodities with the E-commerce channel; the system compares the collected e-commerce channel requirements with e-commerce product information so as to send the e-commerce products to corresponding channels for sale in a classified manner;
s4, pushing the data to corresponding E-commerce channels in a classified manner; matching the E-commerce products with high integrating degree with E-commerce channels, classifying the E-commerce products according to different E-commerce channels, and pushing the E-commerce products to corresponding E-commerce channels;
s5, combining the efficacy complementation products of the system; analyzing the product efficacy of each E-commerce channel, classifying E-commerce products with complementary efficacy into combined commodities for sale, and finishing manual examination to determine whether the products conflict;
s6, the combined commodities are sold on-line and off-line and then classified; and the combined commodities are reclassified according to different online and offline sales modes.
Wherein, the S1 analyzes the E-commerce channel, and comprises the following steps:
s101, collecting browsing records of a client; collecting browsing records of a customer through the supply of an e-commerce channel and network investigation, and knowing the e-commerce products required by the customer in different e-commerce channels;
s102, extracting keywords of browsing records; extracting key words in the name of the e-commerce product required by the customer from the collected customer browsing records for subsequent comparison and use;
s103, analyzing and browsing the functional utility of the product; the product inquiry is provided through a commercial channel to analyze and know the functional utility of the product and the reason of customer demand;
s104, establishing a database; and storing the extracted keyword information and the analyzed product function utility into a database, so that the e-commerce products can be compared and classified conveniently.
Wherein, the S2 acquires the product information of the commercial product, and the specific steps are as follows:
s201, extracting a product name central word; extracting the central words in the product names, and primarily classifying the products by the key words, and meanwhile, preparing for subsequent comparison;
s202, analyzing the practical efficacy of the product; and integrating the information provided by the merchant and the network query result marked by the merchant product, and analyzing the practical efficacy of the product.
Wherein, the step S3 of comparing the fitness of the commodity and the e-commerce channel comprises the following steps:
s301, comparing the name keywords; comparing the product central words in the collected e-commerce product information with data in a database in which keywords of the product name required by the customer are stored in an e-commerce channel, and screening out matching items;
s302, comparing the practical effects of the products; comparing the practical efficacy of the E-commerce product obtained by analysis with data in a database of practical efficacy of products required by customers in an E-commerce channel, and screening out matching items;
s303, integrating the two comparison terms; and integrating the matching items obtained by the two comparison to obtain a final comparison result.
The S4 classification is pushed to the corresponding E-commerce channels, and the specific steps are as follows:
s401, automatically distributing commodities and channels with high fitting degree; automatically distributing the E-commerce products matched with the E-commerce channels in the comparison result together;
s402, the successfully matched commodities are automatically pushed to corresponding E-commerce channels; and pushing the matched and classified E-commerce products to corresponding E-commerce channels for sale.
The S5 system is combined with a product with complementary efficacy, and the specific steps are as follows:
s501, matching efficacy complementary commodities; integrating and matching the practical effects of the E-commerce products which are analyzed and known, and classifying the E-commerce products with complementary effects;
s502, combining complementary commodities; combining the complementary e-commerce products matched in classification to serve as combined commodities for sale;
s503, manually checking the rationality of the combined commodities; in order to eliminate the problem of rejection of similar foods and inhibition of medicines, staff is required to check and ensure the reasonableness of the combined E-commerce products.
The S6 combined commodity online and offline sales reclassification method specifically comprises the following steps:
s601, selling through an online channel; entrust the network marketing work that the enterprise needs oneself to hire people to realize to the professional network marketing service provider in the way of contract originally, the outsourcing service provider of network marketing regards Internet as the platform, on the basis of in-depth analysis enterprise present situation, product characteristic and trade characteristic, customize the personalized high cost performance network marketing scheme for enterprise, the effective implementation of the scheme of overall responsibility, track and monitor the network marketing effect, and provide the result analysis report for enterprise regularly, the network marketing service provider can fully exert its various professional advantages on the aspect of technology, marketing plan, implementation, etc. in this course, go to full extent and finish the predetermined goal in order to obtain the service cost that enterprise pays; the combined e-commerce products meeting the online sales channel need to meet the conditions that the commodities can be shot in full-looking and detail, are small in size and easy to transport and have reasonable price, and the combined commodities meeting the conditions are classified into one category;
s602, selling the products through an offline channel; the combined type off-line selling channel has three main channels, wherein the first channel is a home appliance city and a shop wholesale market, the second channel is a traditional department store, the third channel is a large supermarket, combined type e-commerce products meeting the off-line selling channel are generally home appliances and daily necessities, the shelf life is short, and fruits classify the type of e-commerce products into one type.
Wherein, said S503 manually checks the rationality of the combined commodity, and when the combined commodity is food and medicine, it needs to be ensured that there is no coherence, so manual checking is needed to ensure the personal safety and shopping experience of the purchasing customer.
And S601, selling the combined E-commerce products through an online channel, and selling the combined E-commerce products through an offline channel, wherein S602, the combined E-commerce products are classified again, the classification does not represent that the combined E-commerce products need to be sold through the online channel or the offline channel, and the classification can be changed according to the actual needs of customers.
In summary, due to the adoption of the technical scheme, the invention has the beneficial effects that:
1. the invention provides an e-commerce product classification system and a classification method thereof, which cover the analysis of an e-commerce channel, the information acquisition of e-commerce products, the comparison of the conformity of commodities with the e-commerce channel, the classification pushing of the e-commerce products, the combination of products with complementary effects and the online and offline sales of combined commodities.
2. The method comprises the steps of analyzing the E-commerce channels, knowing the requirements of each E-commerce channel on E-commerce products by analyzing customer requirement information provided by the E-commerce and collected by the E-commerce channel, and collecting the browsing records of customers; collecting browsing records of a customer through the supply of an e-commerce channel and network investigation, and knowing the e-commerce products required by the customer in different e-commerce channels; then extracting keywords of browsing records; extracting key words in the name of the e-commerce product required by the customer from the collected customer browsing records for subsequent comparison and use; then analyzing and browsing the functional utility of the product; the product inquiry is provided through a commercial channel to analyze and know the functional utility of the product and the reason of customer demand; finally, establishing a database; the extracted keyword information and the analyzed product function utility are stored in a database, so that the e-commerce products can be compared and classified conveniently, and preliminary and reasonable classification is carried out on the e-commerce products by analyzing an e-commerce channel.
3. The invention further collects the commercial product information; distinguishing the commercial products through name keywords and actual function utilities, and firstly extracting product name central words; extracting the central words in the product names, and primarily classifying the products by the key words, and meanwhile, preparing for subsequent comparison; then analyzing the practical efficacy of the product; the practical efficacy of the product is analyzed by integrating the information provided by the merchant and the network query result marked by the merchant product, and the information is used for comparing with the information in the database to further complete classification.
4. The invention further compares the conformity of the commodities to the E-commerce channel; the system compares the collected e-commerce channel requirements with e-commerce product information so as to send the e-commerce products to corresponding channels for sale in a classified manner, and first, name keywords are compared; comparing the product central words in the collected e-commerce product information with data in a database in which keywords of the product name required by the customer are stored in an e-commerce channel, and screening out matching items; then comparing the practical efficacy of the product; comparing the practical efficacy of the E-commerce product obtained by analysis with data in a database of practical efficacy of products required by customers in an E-commerce channel, and screening out matching items; finally, two comparison items are integrated; and matching items obtained by comparing the two items are integrated to obtain a final comparison result, primary classification is basically finished, and better sale is facilitated after the E-commerce products are reasonably classified.
5. The invention further pushes the classification to the corresponding e-commerce channel; matching the E-commerce products with high fitting degree with E-commerce channels, classifying the E-commerce products according to different E-commerce channels, pushing the E-commerce products to corresponding E-commerce channels, and automatically distributing the commodities with high fitting degree with the channels; automatically distributing the E-commerce products matched with the E-commerce channels in the comparison result together; then, the successfully matched commodities are automatically pushed to corresponding E-commerce channels; and the E-commerce products which are matched and classified are pushed to corresponding E-commerce channels so as to be sold, and benefits are brought to the sale of the E-commerce products while primary classification is completed.
6. The invention further combines the efficacy complementary products; analyzing the product efficacy of each E-commerce channel, classifying E-commerce products with complementary efficacy into combined commodities for sale, manually checking whether the products conflict or not after the products are combined, and firstly matching the products with complementary efficacy; integrating and matching the practical effects of the E-commerce products which are analyzed and known, and classifying the E-commerce products with complementary effects; then combining the complementary commodities; combining the complementary e-commerce products matched in classification to serve as combined commodities for sale; finally, manually checking the rationality of the combined commodity; in order to eliminate the problem of rejection of similar foods and restriction of medicines, workers are required to check to ensure the reasonability of the combined E-commerce products and complete secondary classification.
7. The invention further classifies the combined commodities for online and offline sales; the combined commodities are reclassified according to different online and offline sales modes, and are firstly sold through online channels; entrust the network marketing work that the enterprise needs oneself to hire people to realize to the professional network marketing service provider in the way of contract originally, the outsourcing service provider of network marketing regards Internet as the platform, on the basis of in-depth analysis enterprise present situation, product characteristic and trade characteristic, customize the personalized high cost performance network marketing scheme for enterprise, the effective implementation of the scheme of overall responsibility, track and monitor the network marketing effect, and provide the result analysis report for enterprise regularly, the network marketing service provider can fully exert its various professional advantages on the aspect of technology, marketing plan, implementation, etc. in this course, go to full extent and finish the predetermined goal in order to obtain the service cost that enterprise pays; the combined e-commerce products meeting the online sales channel need to meet the conditions that the commodities can be shot in full-looking and detail, are small in size and easy to transport and have reasonable price, and the combined commodities meeting the conditions are classified into one category; secondly, selling the products through an off-line channel; the main channels are three, the first is the wholesale market of household electrical appliance cities and shops, the second is the traditional department stores, the third is the large supermarket, the combined electric commercial products meeting the offline sales channel are generally household electrical appliances and daily necessities, the shelf life is short, and fruits classify the electric commercial products into one type to finish the reasonable reclassification of the electric commercial products.
Drawings
FIG. 1 is a schematic flow chart of the classification system for E-commerce products of the invention
FIG. 2 is a simplified schematic flow chart of the method for classifying E-commerce products of the present invention;
FIG. 3 is a schematic diagram of a process for analyzing an E-commerce channel according to the present invention;
FIG. 4 is a schematic diagram of the process of collecting commercial product information according to the present invention;
FIG. 5 is a schematic diagram of a process for comparing the degree of engagement between a commodity and an e-commerce channel according to the present invention;
FIG. 6 is a schematic diagram illustrating a process of classified pushing to corresponding e-commerce channels in the present invention;
FIG. 7 is a schematic view of a system of the present invention for combining efficacy-complementary products;
FIG. 8 is a schematic diagram of the re-classifying process for online and offline sales of the combined merchandise according to the present invention.
Detailed Description
The following further describes embodiments of the present invention with reference to the drawings. It should be noted that the description of the embodiments is provided to help understanding of the present invention, but the present invention is not limited thereto. In addition, the technical features involved in the embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
In the first embodiment, referring to fig. 1 to 3, an e-commerce product classification system is provided; the system comprises an e-commerce channel analysis unit, a data processing unit and a data processing unit, wherein the e-commerce channel analysis unit is used for analyzing an e-commerce channel; the E-commerce product information acquisition unit is used for acquiring E-commerce product information; the comparison and analysis unit is used for selecting corresponding e-commerce channels, e-commerce product combinations in a classified manner, selling the e-commerce products on line and off line and then classifying the e-commerce products; the E-commerce channel analysis unit is used for collecting browsing records of the customers and extracting key information in the browsing records to form a database; the comparison and analysis unit selects corresponding e-commerce channels in a classified manner, compares the information data browsed by the user in the e-commerce channels with the information of e-commerce products to be sold, and matches the products to the corresponding e-commerce channels when the similarity is high;
an e-commerce product classification method comprises the following steps:
s1, analyzing an E-commerce channel; the method comprises the steps that the requirements of various E-commerce channels on E-commerce products are known through analyzing customer requirement information provided by E-commerce and collected by the E-commerce channels;
s2, collecting the E-commerce product information; differentiating the commercial products through the name keywords and the actual function utility;
s3, comparing the fitness of the commodities with the E-commerce channel; the system compares the collected e-commerce channel requirements with e-commerce product information so as to send the e-commerce products to corresponding channels for sale in a classified manner;
s4, pushing the data to corresponding E-commerce channels in a classified manner; matching the E-commerce products with high integrating degree with E-commerce channels, classifying the E-commerce products according to different E-commerce channels, and pushing the E-commerce products to corresponding E-commerce channels;
s5, combining the efficacy complementation products of the system; analyzing the product efficacy of each E-commerce channel, classifying E-commerce products with complementary efficacy into combined commodities for sale, and finishing manual examination to determine whether the products conflict;
s6, the combined commodities are sold on-line and off-line and then classified; and the combined commodities are reclassified according to different online and offline sales modes.
Wherein, the S1 analyzes the E-commerce channel, and comprises the following steps:
s101, collecting browsing records of a client; collecting browsing records of a customer through the supply of an e-commerce channel and network investigation, and knowing the e-commerce products required by the customer in different e-commerce channels;
s102, extracting keywords of browsing records; extracting key words in the name of the e-commerce product required by the customer from the collected customer browsing records for subsequent comparison and use;
s103, analyzing and browsing the functional utility of the product; the product inquiry is provided through a commercial channel to analyze and know the functional utility of the product and the reason of customer demand;
s104, establishing a database; and storing the extracted keyword information and the analyzed product function utility into a database, so that the e-commerce products can be compared and classified conveniently.
In the second embodiment, referring to fig. 1 to 4, an e-commerce product classification system; the system comprises an e-commerce channel analysis unit, a data processing unit and a data processing unit, wherein the e-commerce channel analysis unit is used for analyzing an e-commerce channel; the E-commerce product information acquisition unit is used for acquiring E-commerce product information; the comparison and analysis unit is used for selecting corresponding e-commerce channels, e-commerce product combinations in a classified manner, selling the e-commerce products on line and off line and then classifying the e-commerce products; the E-commerce channel analysis unit is used for collecting browsing records of the customers and extracting key information in the browsing records to form a database; the comparison and analysis unit selects corresponding e-commerce channels in a classified manner, compares the information data browsed by the user in the e-commerce channels with the information of e-commerce products to be sold, and matches the products to the corresponding e-commerce channels when the similarity is high;
an e-commerce product classification method comprises the following steps:
s1, analyzing an E-commerce channel; the method comprises the steps that the requirements of various E-commerce channels on E-commerce products are known through analyzing customer requirement information provided by E-commerce and collected by the E-commerce channels;
s2, collecting the E-commerce product information; differentiating the commercial products through the name keywords and the actual function utility;
s3, comparing the fitness of the commodities with the E-commerce channel; the system compares the collected e-commerce channel requirements with e-commerce product information so as to send the e-commerce products to corresponding channels for sale in a classified manner;
s4, pushing the data to corresponding E-commerce channels in a classified manner; matching the E-commerce products with high integrating degree with E-commerce channels, classifying the E-commerce products according to different E-commerce channels, and pushing the E-commerce products to corresponding E-commerce channels;
s5, combining the efficacy complementation products of the system; analyzing the product efficacy of each E-commerce channel, classifying E-commerce products with complementary efficacy into combined commodities for sale, and finishing manual examination to determine whether the products conflict;
s6, the combined commodities are sold on-line and off-line and then classified; and the combined commodities are reclassified according to different online and offline sales modes.
Wherein, the S1 analyzes the E-commerce channel, and comprises the following steps:
s101, collecting browsing records of a client; collecting browsing records of a customer through the supply of an e-commerce channel and network investigation, and knowing the e-commerce products required by the customer in different e-commerce channels;
s102, extracting keywords of browsing records; extracting key words in the name of the e-commerce product required by the customer from the collected customer browsing records for subsequent comparison and use;
s103, analyzing and browsing the functional utility of the product; the product inquiry is provided through a commercial channel to analyze and know the functional utility of the product and the reason of customer demand;
s104, establishing a database; storing the extracted keyword information and the analyzed product function utility into a database, so that the e-commerce products can be conveniently compared and classified;
wherein, the S2 acquires the product information of the commercial product, and the specific steps are as follows:
s201, extracting a product name central word; extracting the central words in the product names, and primarily classifying the products by the key words, and meanwhile, preparing for subsequent comparison;
s202, analyzing the practical efficacy of the product; and integrating the information provided by the merchant and the network query result marked by the merchant product, and analyzing the practical efficacy of the product.
In the third embodiment, referring to fig. 1 to 5, an e-commerce product classification system is provided; the system comprises an e-commerce channel analysis unit, a data processing unit and a data processing unit, wherein the e-commerce channel analysis unit is used for analyzing an e-commerce channel; the E-commerce product information acquisition unit is used for acquiring E-commerce product information; the comparison and analysis unit is used for selecting corresponding e-commerce channels, e-commerce product combinations in a classified manner, selling the e-commerce products on line and off line and then classifying the e-commerce products; the E-commerce channel analysis unit is used for collecting browsing records of the customers and extracting key information in the browsing records to form a database; the comparison and analysis unit selects corresponding e-commerce channels in a classified manner, compares the information data browsed by the user in the e-commerce channels with the information of e-commerce products to be sold, and matches the products to the corresponding e-commerce channels when the similarity is high;
an e-commerce product classification method comprises the following steps:
s1, analyzing an E-commerce channel; the method comprises the steps that the requirements of various E-commerce channels on E-commerce products are known through analyzing customer requirement information provided by E-commerce and collected by the E-commerce channels;
s2, collecting the E-commerce product information; differentiating the commercial products through the name keywords and the actual function utility;
s3, comparing the fitness of the commodities with the E-commerce channel; the system compares the collected e-commerce channel requirements with e-commerce product information so as to send the e-commerce products to corresponding channels for sale in a classified manner;
s4, pushing the data to corresponding E-commerce channels in a classified manner; matching the E-commerce products with high integrating degree with E-commerce channels, classifying the E-commerce products according to different E-commerce channels, and pushing the E-commerce products to corresponding E-commerce channels;
s5, combining the efficacy complementation products of the system; analyzing the product efficacy of each E-commerce channel, classifying E-commerce products with complementary efficacy into combined commodities for sale, and finishing manual examination to determine whether the products conflict;
s6, the combined commodities are sold on-line and off-line and then classified; and the combined commodities are reclassified according to different online and offline sales modes.
Wherein, the S1 analyzes the E-commerce channel, and comprises the following steps:
s101, collecting browsing records of a client; collecting browsing records of a customer through the supply of an e-commerce channel and network investigation, and knowing the e-commerce products required by the customer in different e-commerce channels;
s102, extracting keywords of browsing records; extracting key words in the name of the e-commerce product required by the customer from the collected customer browsing records for subsequent comparison and use;
s103, analyzing and browsing the functional utility of the product; the product inquiry is provided through a commercial channel to analyze and know the functional utility of the product and the reason of customer demand;
s104, establishing a database; storing the extracted keyword information and the analyzed product function utility into a database, so that the e-commerce products can be conveniently compared and classified;
wherein, the S2 acquires the product information of the commercial product, and the specific steps are as follows:
s201, extracting a product name central word; extracting the central words in the product names, and primarily classifying the products by the key words, and meanwhile, preparing for subsequent comparison;
s202, analyzing the practical efficacy of the product; integrating information provided by merchants and network query results marked by the electronic commerce products, and analyzing the practical efficacy of the products;
wherein, the step S3 of comparing the fitness of the commodity and the e-commerce channel comprises the following steps:
s301, comparing the name keywords; comparing the product central words in the collected e-commerce product information with data in a database in which keywords of the product name required by the customer are stored in an e-commerce channel, and screening out matching items;
s302, comparing the practical effects of the products; comparing the practical efficacy of the E-commerce product obtained by analysis with data in a database of practical efficacy of products required by customers in an E-commerce channel, and screening out matching items;
s303, integrating the two comparison terms; and integrating the matching items obtained by the two comparison to obtain a final comparison result.
In the fourth embodiment, referring to fig. 1 to 6, an e-commerce product classification system is provided; the system comprises an e-commerce channel analysis unit, a data processing unit and a data processing unit, wherein the e-commerce channel analysis unit is used for analyzing an e-commerce channel; the E-commerce product information acquisition unit is used for acquiring E-commerce product information; the comparison and analysis unit is used for selecting corresponding e-commerce channels, e-commerce product combinations in a classified manner, selling the e-commerce products on line and off line and then classifying the e-commerce products; the E-commerce channel analysis unit is used for collecting browsing records of the customers and extracting key information in the browsing records to form a database; the comparison and analysis unit selects corresponding e-commerce channels in a classified manner, compares the information data browsed by the user in the e-commerce channels with the information of e-commerce products to be sold, and matches the products to the corresponding e-commerce channels when the similarity is high;
an e-commerce product classification method comprises the following steps:
s1, analyzing an E-commerce channel; the method comprises the steps that the requirements of various E-commerce channels on E-commerce products are known through analyzing customer requirement information provided by E-commerce and collected by the E-commerce channels;
s2, collecting the E-commerce product information; differentiating the commercial products through the name keywords and the actual function utility;
s3, comparing the fitness of the commodities with the E-commerce channel; the system compares the collected e-commerce channel requirements with e-commerce product information so as to send the e-commerce products to corresponding channels for sale in a classified manner;
s4, pushing the data to corresponding E-commerce channels in a classified manner; matching the E-commerce products with high integrating degree with E-commerce channels, classifying the E-commerce products according to different E-commerce channels, and pushing the E-commerce products to corresponding E-commerce channels;
s5, combining the efficacy complementation products of the system; analyzing the product efficacy of each E-commerce channel, classifying E-commerce products with complementary efficacy into combined commodities for sale, and finishing manual examination to determine whether the products conflict;
s6, the combined commodities are sold on-line and off-line and then classified; and the combined commodities are reclassified according to different online and offline sales modes.
Wherein, the S1 analyzes the E-commerce channel, and comprises the following steps:
s101, collecting browsing records of a client; collecting browsing records of a customer through the supply of an e-commerce channel and network investigation, and knowing the e-commerce products required by the customer in different e-commerce channels;
s102, extracting keywords of browsing records; extracting key words in the name of the e-commerce product required by the customer from the collected customer browsing records for subsequent comparison and use;
s103, analyzing and browsing the functional utility of the product; the product inquiry is provided through a commercial channel to analyze and know the functional utility of the product and the reason of customer demand;
s104, establishing a database; storing the extracted keyword information and the analyzed product function utility into a database, so that the e-commerce products can be conveniently compared and classified;
wherein, the S2 acquires the product information of the commercial product, and the specific steps are as follows:
s201, extracting a product name central word; extracting the central words in the product names, and primarily classifying the products by the key words, and meanwhile, preparing for subsequent comparison;
s202, analyzing the practical efficacy of the product; integrating information provided by merchants and network query results marked by the electronic commerce products, and analyzing the practical efficacy of the products;
wherein, the step S3 of comparing the fitness of the commodity and the e-commerce channel comprises the following steps:
s301, comparing the name keywords; comparing the product central words in the collected e-commerce product information with data in a database in which keywords of the product name required by the customer are stored in an e-commerce channel, and screening out matching items;
s302, comparing the practical effects of the products; comparing the practical efficacy of the E-commerce product obtained by analysis with data in a database of practical efficacy of products required by customers in an E-commerce channel, and screening out matching items;
s303, integrating the two comparison terms; integrating the matching items obtained by the two comparison to obtain a final comparison result;
the S4 classification is pushed to the corresponding E-commerce channels, and the specific steps are as follows:
s401, automatically distributing commodities and channels with high fitting degree; automatically distributing the E-commerce products matched with the E-commerce channels in the comparison result together;
s402, the successfully matched commodities are automatically pushed to corresponding E-commerce channels; and pushing the matched and classified E-commerce products to corresponding E-commerce channels for sale.
In the fifth embodiment, referring to fig. 1 to 7, an e-commerce product classification system is provided; the system comprises an e-commerce channel analysis unit, a data processing unit and a data processing unit, wherein the e-commerce channel analysis unit is used for analyzing an e-commerce channel; the E-commerce product information acquisition unit is used for acquiring E-commerce product information; the comparison and analysis unit is used for selecting corresponding e-commerce channels, e-commerce product combinations in a classified manner, selling the e-commerce products on line and off line and then classifying the e-commerce products; the E-commerce channel analysis unit is used for collecting browsing records of the customers and extracting key information in the browsing records to form a database; the comparison and analysis unit selects corresponding e-commerce channels in a classified manner, compares the information data browsed by the user in the e-commerce channels with the information of e-commerce products to be sold, and matches the products to the corresponding e-commerce channels when the similarity is high;
an e-commerce product classification method comprises the following steps:
s1, analyzing an E-commerce channel; the method comprises the steps that the requirements of various E-commerce channels on E-commerce products are known through analyzing customer requirement information provided by E-commerce and collected by the E-commerce channels;
s2, collecting the E-commerce product information; differentiating the commercial products through the name keywords and the actual function utility;
s3, comparing the fitness of the commodities with the E-commerce channel; the system compares the collected e-commerce channel requirements with e-commerce product information so as to send the e-commerce products to corresponding channels for sale in a classified manner;
s4, pushing the data to corresponding E-commerce channels in a classified manner; matching the E-commerce products with high integrating degree with E-commerce channels, classifying the E-commerce products according to different E-commerce channels, and pushing the E-commerce products to corresponding E-commerce channels;
s5, combining the efficacy complementation products of the system; analyzing the product efficacy of each E-commerce channel, classifying E-commerce products with complementary efficacy into combined commodities for sale, and finishing manual examination to determine whether the products conflict;
s6, the combined commodities are sold on-line and off-line and then classified; and the combined commodities are reclassified according to different online and offline sales modes.
Wherein, the S1 analyzes the E-commerce channel, and comprises the following steps:
s101, collecting browsing records of a client; collecting browsing records of a customer through the supply of an e-commerce channel and network investigation, and knowing the e-commerce products required by the customer in different e-commerce channels;
s102, extracting keywords of browsing records; extracting key words in the name of the e-commerce product required by the customer from the collected customer browsing records for subsequent comparison and use;
s103, analyzing and browsing the functional utility of the product; the product inquiry is provided through a commercial channel to analyze and know the functional utility of the product and the reason of customer demand;
s104, establishing a database; storing the extracted keyword information and the analyzed product function utility into a database, so that the e-commerce products can be conveniently compared and classified;
wherein, the S2 acquires the product information of the commercial product, and the specific steps are as follows:
s201, extracting a product name central word; extracting the central words in the product names, and primarily classifying the products by the key words, and meanwhile, preparing for subsequent comparison;
s202, analyzing the practical efficacy of the product; integrating information provided by merchants and network query results marked by the electronic commerce products, and analyzing the practical efficacy of the products;
wherein, the step S3 of comparing the fitness of the commodity and the e-commerce channel comprises the following steps:
s301, comparing the name keywords; comparing the product central words in the collected e-commerce product information with data in a database in which keywords of the product name required by the customer are stored in an e-commerce channel, and screening out matching items;
s302, comparing the practical effects of the products; comparing the practical efficacy of the E-commerce product obtained by analysis with data in a database of practical efficacy of products required by customers in an E-commerce channel, and screening out matching items;
s303, integrating the two comparison terms; integrating the matching items obtained by the two comparison to obtain a final comparison result;
the S4 classification is pushed to the corresponding E-commerce channels, and the specific steps are as follows:
s401, automatically distributing commodities and channels with high fitting degree; automatically distributing the E-commerce products matched with the E-commerce channels in the comparison result together;
s402, the successfully matched commodities are automatically pushed to corresponding E-commerce channels; the E-commerce products which are matched and classified are pushed to corresponding E-commerce channels so as to be sold;
the S5 system is combined with a product with complementary efficacy, and the specific steps are as follows:
s501, matching efficacy complementary commodities; integrating and matching the practical effects of the E-commerce products which are analyzed and known, and classifying the E-commerce products with complementary effects;
s502, combining complementary commodities; combining the complementary e-commerce products matched in classification to serve as combined commodities for sale;
s503, manually checking the rationality of the combined commodities; in order to eliminate the problem of rejection of similar foods and inhibition of medicines, staff is required to check and ensure the reasonableness of the combined E-commerce products.
In the sixth embodiment, referring to fig. 1 to 8, an e-commerce product classification system is provided; the system comprises an e-commerce channel analysis unit, a data processing unit and a data processing unit, wherein the e-commerce channel analysis unit is used for analyzing an e-commerce channel; the E-commerce product information acquisition unit is used for acquiring E-commerce product information; the comparison and analysis unit is used for selecting corresponding e-commerce channels, e-commerce product combinations in a classified manner, selling the e-commerce products on line and off line and then classifying the e-commerce products; the E-commerce channel analysis unit is used for collecting browsing records of the customers and extracting key information in the browsing records to form a database; the comparison and analysis unit selects corresponding e-commerce channels in a classified manner, compares the information data browsed by the user in the e-commerce channels with the information of e-commerce products to be sold, and matches the products to the corresponding e-commerce channels when the similarity is high;
an e-commerce product classification method comprises the following steps:
s1, analyzing an E-commerce channel; the method comprises the steps that the requirements of various E-commerce channels on E-commerce products are known through analyzing customer requirement information provided by E-commerce and collected by the E-commerce channels;
s2, collecting the E-commerce product information; differentiating the commercial products through the name keywords and the actual function utility;
s3, comparing the fitness of the commodities with the E-commerce channel; the system compares the collected e-commerce channel requirements with e-commerce product information so as to send the e-commerce products to corresponding channels for sale in a classified manner;
s4, pushing the data to corresponding E-commerce channels in a classified manner; matching the E-commerce products with high integrating degree with E-commerce channels, classifying the E-commerce products according to different E-commerce channels, and pushing the E-commerce products to corresponding E-commerce channels;
s5, combining the efficacy complementation products of the system; analyzing the product efficacy of each E-commerce channel, classifying E-commerce products with complementary efficacy into combined commodities for sale, and finishing manual examination to determine whether the products conflict;
s6, the combined commodities are sold on-line and off-line and then classified; and the combined commodities are reclassified according to different online and offline sales modes.
Wherein, the S1 analyzes the E-commerce channel, and comprises the following steps:
s101, collecting browsing records of a client; collecting browsing records of a customer through the supply of an e-commerce channel and network investigation, and knowing the e-commerce products required by the customer in different e-commerce channels;
s102, extracting keywords of browsing records; extracting key words in the name of the e-commerce product required by the customer from the collected customer browsing records for subsequent comparison and use;
s103, analyzing and browsing the functional utility of the product; the product inquiry is provided through a commercial channel to analyze and know the functional utility of the product and the reason of customer demand;
s104, establishing a database; storing the extracted keyword information and the analyzed product function utility into a database, so that the e-commerce products can be conveniently compared and classified;
wherein, the S2 acquires the product information of the commercial product, and the specific steps are as follows:
s201, extracting a product name central word; extracting the central words in the product names, and primarily classifying the products by the key words, and meanwhile, preparing for subsequent comparison;
s202, analyzing the practical efficacy of the product; integrating information provided by merchants and network query results marked by the electronic commerce products, and analyzing the practical efficacy of the products;
wherein, the step S3 of comparing the fitness of the commodity and the e-commerce channel comprises the following steps:
s301, comparing the name keywords; comparing the product central words in the collected e-commerce product information with data in a database in which keywords of the product name required by the customer are stored in an e-commerce channel, and screening out matching items;
s302, comparing the practical effects of the products; comparing the practical efficacy of the E-commerce product obtained by analysis with data in a database of practical efficacy of products required by customers in an E-commerce channel, and screening out matching items;
s303, integrating the two comparison terms; integrating the matching items obtained by the two comparison to obtain a final comparison result;
the S4 classification is pushed to the corresponding E-commerce channels, and the specific steps are as follows:
s401, automatically distributing commodities and channels with high fitting degree; automatically distributing the E-commerce products matched with the E-commerce channels in the comparison result together;
s402, the successfully matched commodities are automatically pushed to corresponding E-commerce channels; the E-commerce products which are matched and classified are pushed to corresponding E-commerce channels so as to be sold;
the S5 system is combined with a product with complementary efficacy, and the specific steps are as follows:
s501, matching efficacy complementary commodities; integrating and matching the practical effects of the E-commerce products which are analyzed and known, and classifying the E-commerce products with complementary effects;
s502, combining complementary commodities; combining the complementary e-commerce products matched in classification to serve as combined commodities for sale;
s503, manually checking the rationality of the combined commodities; in order to eliminate the problems of similar food rejection and medicine restriction, workers are required to check and ensure the rationality of the combined e-commerce product;
the S6 combined commodity online and offline sales reclassification method specifically comprises the following steps:
s601, selling through an online channel; entrust the network marketing work that the enterprise needs oneself to hire people to realize to the professional network marketing service provider in the way of contract originally, the outsourcing service provider of network marketing regards Internet as the platform, on the basis of in-depth analysis enterprise present situation, product characteristic and trade characteristic, customize the personalized high cost performance network marketing scheme for enterprise, the effective implementation of the scheme of overall responsibility, track and monitor the network marketing effect, and provide the result analysis report for enterprise regularly, the network marketing service provider can fully exert its various professional advantages on the aspect of technology, marketing plan, implementation, etc. in this course, go to full extent and finish the predetermined goal in order to obtain the service cost that enterprise pays; the combined e-commerce products meeting the online sales channel need to meet the conditions that the commodities can be shot in full-looking and detail, are small in size and easy to transport and have reasonable price, and the combined commodities meeting the conditions are classified into one category;
s602, selling the products through an offline channel; the combined type off-line selling channel has three main channels, wherein the first channel is a home appliance city and a shop wholesale market, the second channel is a traditional department store, the third channel is a large supermarket, combined type e-commerce products meeting the off-line selling channel are generally home appliances and daily necessities, the shelf life is short, and fruits classify the type of e-commerce products into one type.
The working principle is as follows: the method comprises the steps of analyzing an e-commerce channel, collecting information of e-commerce products, comparing the conformity of commodities with the e-commerce channel, classifying and pushing the e-commerce products, combining products with complementary effects, combining online and offline sales of the commodities, and classifying the e-commerce products through the e-commerce channel, the independent or combined commodities, and the online or offline sales to form an e-commerce product classification system.
The method comprises the steps of analyzing the E-commerce channels, knowing the requirements of each E-commerce channel on E-commerce products by analyzing customer requirement information provided by the E-commerce and collected by the E-commerce channel, and collecting the browsing records of customers; collecting browsing records of a customer through the supply of an e-commerce channel and network investigation, and knowing the e-commerce products required by the customer in different e-commerce channels; then extracting keywords of browsing records; extracting key words in the name of the e-commerce product required by the customer from the collected customer browsing records for subsequent comparison and use; then analyzing and browsing the functional utility of the product; the product inquiry is provided through a commercial channel to analyze and know the functional utility of the product and the reason of customer demand; finally, establishing a database; storing the extracted keyword information and the analyzed product function utility into a database, facilitating comparison and classification of E-commerce products, and performing preliminary and reasonable classification on the E-commerce products by analyzing E-commerce channels; the invention further collects the commercial product information; distinguishing the commercial products through name keywords and actual function utilities, and firstly extracting product name central words; extracting the central words in the product names, and primarily classifying the products by the key words, and meanwhile, preparing for subsequent comparison; then analyzing the practical efficacy of the product; the practical efficacy of the product is analyzed by integrating the information provided by the merchant and the network query result marked by the merchant product, and the information is used for comparing with the information in the database to further complete classification.
The invention further compares the conformity of the commodities to the E-commerce channel; the system compares the collected e-commerce channel requirements with e-commerce product information so as to send the e-commerce products to corresponding channels for sale in a classified manner, and first, name keywords are compared; comparing the product central words in the collected e-commerce product information with data in a database in which keywords of the product name required by the customer are stored in an e-commerce channel, and screening out matching items; then comparing the practical efficacy of the product; comparing the practical efficacy of the E-commerce product obtained by analysis with data in a database of practical efficacy of products required by customers in an E-commerce channel, and screening out matching items; finally, two comparison items are integrated; and matching items obtained by comparing the two items are integrated to obtain a final comparison result, primary classification is basically finished, and better sale is facilitated after the E-commerce products are reasonably classified.
The invention further pushes the classification to the corresponding e-commerce channel; matching the E-commerce products with high fitting degree with E-commerce channels, classifying the E-commerce products according to different E-commerce channels, pushing the E-commerce products to corresponding E-commerce channels, and automatically distributing the commodities with high fitting degree with the channels; automatically distributing the E-commerce products matched with the E-commerce channels in the comparison result together; then, the successfully matched commodities are automatically pushed to corresponding E-commerce channels; the matched and classified e-commerce products are pushed to corresponding e-commerce channels so as to be sold, and benefits are brought to the sale of the e-commerce products while primary classification is completed; the invention further combines the efficacy complementary products; analyzing the product efficacy of each E-commerce channel, classifying E-commerce products with complementary efficacy into combined commodities for sale, manually checking whether the products conflict or not after the products are combined, and firstly matching the products with complementary efficacy; integrating and matching the practical effects of the E-commerce products which are analyzed and known, and classifying the E-commerce products with complementary effects; then combining the complementary commodities; combining the complementary e-commerce products matched in classification to serve as combined commodities for sale; finally, manually checking the rationality of the combined commodity; in order to eliminate the problem of rejection of similar foods and restriction of medicines, workers are required to check to ensure the reasonability of the combined E-commerce products and complete secondary classification.
The invention further classifies the combined commodities for online and offline sales; the combined commodities are reclassified according to different online and offline sales modes, and are firstly sold through online channels; entrust the network marketing work that the enterprise needs oneself to hire people to realize to the professional network marketing service provider in the way of contract originally, the outsourcing service provider of network marketing regards Internet as the platform, on the basis of in-depth analysis enterprise present situation, product characteristic and trade characteristic, customize the personalized high cost performance network marketing scheme for enterprise, the effective implementation of the scheme of overall responsibility, track and monitor the network marketing effect, and provide the result analysis report for enterprise regularly, the network marketing service provider can fully exert its various professional advantages on the aspect of technology, marketing plan, implementation, etc. in this course, go to full extent and finish the predetermined goal in order to obtain the service cost that enterprise pays; the combined e-commerce products meeting the online sales channel need to meet the conditions that the commodities can be shot in full-looking and detail, are small in size and easy to transport and have reasonable price, and the combined commodities meeting the conditions are classified into one category; secondly, selling the products through an off-line channel; the main channels are three, the first is the wholesale market of household electrical appliance cities and shops, the second is the traditional department stores, the third is the large supermarket, the combined electric commercial products meeting the offline sales channel are generally household electrical appliances and daily necessities, the shelf life is short, and fruits classify the electric commercial products into one type to finish the reasonable reclassification of the electric commercial products.
The embodiments of the present invention have been described in detail with reference to the accompanying drawings, but the present invention is not limited to the described embodiments. It will be apparent to those skilled in the art that various changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, and the scope of protection is still within the scope of the invention.
Claims (10)
1. The E-commerce product classification system is characterized by comprising an E-commerce channel analysis unit, a classification unit and a classification unit, wherein the E-commerce channel analysis unit is used for analyzing an E-commerce channel; the E-commerce product information acquisition unit is used for acquiring E-commerce product information; the comparison and analysis unit is used for selecting corresponding e-commerce channels, e-commerce product combinations in a classified manner, selling the e-commerce products on line and off line and then classifying the e-commerce products; the E-commerce channel analysis unit is used for collecting browsing records of the customers and extracting key information in the browsing records to form a database; and the comparison and analysis unit selects corresponding e-commerce channels in a classified manner, compares the information data browsed by the user in the e-commerce channels with the information of the e-commerce products to be sold, and matches the products to the corresponding e-commerce channels when the similarity is high.
2. An e-commerce product classification method is characterized in that: the method comprises the following steps:
s1, analyzing an E-commerce channel; the method comprises the steps that the requirements of various E-commerce channels on E-commerce products are known through analyzing customer requirement information provided by E-commerce and collected by the E-commerce channels;
s2, collecting the E-commerce product information; differentiating the commercial products through the name keywords and the actual function utility;
s3, comparing the fitness of the commodities with the E-commerce channel; the system compares the collected e-commerce channel requirements with e-commerce product information so as to send the e-commerce products to corresponding channels for sale in a classified manner;
s4, pushing the data to corresponding E-commerce channels in a classified manner; matching the E-commerce products with high integrating degree with E-commerce channels, classifying the E-commerce products according to different E-commerce channels, and pushing the E-commerce products to corresponding E-commerce channels;
s5, combining the efficacy complementation products of the system; analyzing the product efficacy of each E-commerce channel, classifying E-commerce products with complementary efficacy into combined commodities for sale, and finishing manual examination to determine whether the products conflict;
s6, the combined commodities are sold on-line and off-line and then classified; and the combined commodities are reclassified according to different online and offline sales modes.
3. The e-commerce product classification method of claim 2, wherein: the S1 analysis method for the E-commerce channel comprises the following specific steps:
s101, collecting browsing records of a client; collecting browsing records of a customer through the supply of an e-commerce channel and network investigation, and knowing the e-commerce products required by the customer in different e-commerce channels;
s102, extracting keywords of browsing records; extracting key words in the name of the e-commerce product required by the customer from the collected customer browsing records for subsequent comparison and use;
s103, analyzing and browsing the functional utility of the product; the product inquiry is provided through a commercial channel to analyze and know the functional utility of the product and the reason of customer demand;
s104, establishing a database; and storing the extracted keyword information and the analyzed product function utility into a database, so that the e-commerce products can be compared and classified conveniently.
4. The e-commerce product classification method of claim 2, wherein: the S2 collects the information of the E-commerce product, and the specific steps are as follows:
s201, extracting a product name central word; extracting the central words in the product names, and primarily classifying the products by the key words, and meanwhile, preparing for subsequent comparison;
s202, analyzing the practical efficacy of the product; and integrating the information provided by the merchant and the network query result marked by the merchant product, and analyzing the practical efficacy of the product.
5. A method for classifying e-commerce products as claimed in claims 2 to 3, wherein: s3, comparing the fitness of the commodity and the E-commerce channel, and the method comprises the following specific steps:
s301, comparing the name keywords; comparing the product central words in the collected e-commerce product information with data in a database in which keywords of the product name required by the customer are stored in an e-commerce channel, and screening out matching items;
s302, comparing the practical effects of the products; comparing the practical efficacy of the E-commerce product obtained by analysis with data in a database of practical efficacy of products required by customers in an E-commerce channel, and screening out matching items;
s303, integrating the two comparison terms; and integrating the matching items obtained by the two comparison to obtain a final comparison result.
6. The e-commerce product classification method of claim 5, wherein: the S4 classification is pushed to the corresponding E-commerce channels, and the specific steps are as follows:
s401, automatically distributing commodities and channels with high fitting degree; automatically distributing the E-commerce products matched with the E-commerce channels in the comparison result together;
s402, the successfully matched commodities are automatically pushed to corresponding E-commerce channels; and pushing the matched and classified E-commerce products to corresponding E-commerce channels for sale.
7. The e-commerce product classification method of claim 6, wherein: the S5 system combined effect complementary product comprises the following specific steps:
s501, matching efficacy complementary commodities; integrating and matching the practical effects of the E-commerce products which are analyzed and known, and classifying the E-commerce products with complementary effects;
s502, combining complementary commodities; combining the complementary e-commerce products matched in classification to serve as combined commodities for sale;
s503, manually checking the rationality of the combined commodities; in order to eliminate the problem of food rejection and medicine restriction, workers are required to check the problem and ensure the reasonability of the combined E-commerce products.
8. The e-commerce product classification method of claim 7, wherein: the step of classifying the combined commodity of S6 for online and offline sales comprises the following steps:
s601, selling through an online channel; entrust the network marketing work that the enterprise needs oneself to hire people to realize to the professional network marketing service provider in the way of contract originally, the outsourcing service provider of network marketing regards Internet as the platform, on the basis of in-depth analysis enterprise present situation, product characteristic and trade characteristic, customize the personalized high cost performance network marketing scheme for enterprise, the effective implementation of the scheme of overall responsibility, track and monitor the network marketing effect, and provide the result analysis report for enterprise regularly, the network marketing service provider can fully exert its various professional advantages on the aspect of technology, marketing plan, implementation, etc. in this course, go to full extent and finish the predetermined goal in order to obtain the service cost that enterprise pays; the combined e-commerce products meeting the online sales channel need to meet the conditions that the commodities can be shot in full-looking and detail, are small in size and easy to transport and have reasonable price, and the combined commodities meeting the conditions are classified into one category;
s602, selling the products through an offline channel; the combined type off-line selling channel has three main channels, wherein the first channel is a home appliance city and a shop wholesale market, the second channel is a traditional department store, the third channel is a large supermarket, combined type e-commerce products meeting the off-line selling channel are generally home appliances and daily necessities, the shelf life is short, and fruits classify the type of e-commerce products into one type.
9. The e-commerce product classification method of claim 7, wherein the S503 manual review of the rationality of the combined commodities is required to ensure that there is no coherence when the combined commodities are food and medicine, so that the manual review is required to ensure personal safety and shopping experience of the purchasing customer.
10. The e-commerce product classification method of claim 8, wherein: and S601, selling the combined E-commerce products through an online channel, and selling the combined E-commerce products through an offline channel, and S602, classifying the combined E-commerce products again, wherein the classification does not represent that the commodities need to be sold through the online channel or the offline channel, and can be changed according to the actual needs of customers.
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