CN108898466B - Catalog type product pushing method and system based on B2C platform - Google Patents
Catalog type product pushing method and system based on B2C platform Download PDFInfo
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- CN108898466B CN108898466B CN201810738649.1A CN201810738649A CN108898466B CN 108898466 B CN108898466 B CN 108898466B CN 201810738649 A CN201810738649 A CN 201810738649A CN 108898466 B CN108898466 B CN 108898466B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
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Abstract
The invention discloses a catalog type product pushing method and a catalog type product pushing system based on a B2C platform, wherein a brand new pushing mode is adopted, a user can quickly and accurately obtain a product which is needed most by the user, the interference of other products is avoided, the goods ratio is N in the true sense, the user can quickly know the distinguishing points of different suppliers to the same product, and can quickly distinguish the products according to the characteristic parameters of the products of the same supplier to know the advantages and the defects of the products, so that the selling mode that the supplier blows and cries by oneself is eliminated, and the loss of economic benefits caused by misleading of the user is avoided.
Description
Technical Field
The invention relates to the technical field of B2C, in particular to a directory-type product pushing method and system based on a B2C platform.
Background
Various online shopping systems are enriched on the network, the online shopping system of B2C (Business to Customer, i.e. enterprise to user) is a commercial information system with interactive function, at present, many online shopping systems of B2C still do not manage the commodity information well, including the commodity information is not clear, the commodity display is disordered, the user will have a plurality of different search results when searching, it is difficult to find the product meeting the self-demand from the search results, these factors will produce bad guiding function to the purchase scheme made by the user, and the interest of the user in online shopping is reduced.
Disclosure of Invention
The invention aims to provide a product pushing method and a product pushing system based on a B2C platform, each sold product has a unique product code by a self-specific classification mode, and a user can check catalog type commodities completely according to guidance during purchase, so that the user can purchase a psychographic product, and the user can purchase the most needed commodity more conveniently and quickly.
In order to achieve the above object, the present invention discloses a catalog type product pushing method based on B2C platform, which is characterized by comprising: acquiring keywords selected by an intelligent terminal; selecting at least one product from a product database as a product representative according to the keywords, and extracting parameters of the surface feature product represented by the product as commonalities parameters to generate a commonalities list; sending the commonality list to an intelligent terminal to display the product commonality parameters represented by the products; after a product representative selected by the intelligent terminal is obtained, a characteristic list is generated for the selected product according to the characteristic parameters of the product, and the characteristic list is sent to the intelligent terminal to display the specific product parameters represented by the product.
Preferably, the common parameters are surface characteristics of the product, including the length, width, height and shape of the product, and the characteristic parameters are internal characteristics of the product, including production materials and production processes of the product; the commonality parameters and the characteristic parameters are combined such that each product generates a unique product code in the product database.
As a preselection, a method of selecting not less than one product from a product database as a product representative based on the keyword includes: acquiring parameter information of all products in a product database; and matching the parameter information with the keyword information, and selecting the product which is most matched with the parameter information in the product database as a product representative.
Preferably, a specific parameter in the product commonality parameters is selected as a classification basis to generate a commonality list, wherein the commonality list comprises: product number, product picture, product name and product price interval.
Preferably, a product representative selected by the intelligent terminal is obtained, and a characteristic list is generated by the selected product representative according to the characteristic parameters of the product and is transmitted to the intelligent terminal again; the characteristic list comprises product codes, product pictures, product prices, product evaluations, minimum product purchase quantities and product purchase links.
Preferably, after sending the characteristic list to the intelligent terminal to display the product characteristic parameters represented by the product, the method further includes: acquiring purchase quantity information and user information transmitted by an intelligent terminal; and combining the purchase quantity information with the user information to generate order data, and processing the order data.
Preferably, when the purchase quantity is smaller than a preset minimum purchase quantity, selecting other product information meeting the purchase quantity to generate a purchase list; sending the purchase list to an intelligent terminal to display the purchase list; and processing after receiving the feedback information of the intelligent terminal.
Preferably, after the order data processing, the method further includes: acquiring product evaluation information of the intelligent terminal; and matching the product evaluation information to the corresponding product according to the order data.
The invention also discloses a catalog type product pushing system based on the B2C platform, which comprises an intelligent terminal and a server side, wherein the server side selects at least one product from a product database as a product representative according to the keywords, and extracts the parameters of the surface feature products represented by the product as common parameters to generate a common list; sending the commonality list to an intelligent terminal to display the product commonality parameters represented by the products; after a product representative selected by the intelligent terminal is obtained, a characteristic list is generated according to the characteristic parameters of the product, the characteristic list is sent to the intelligent terminal to display the specific product parameters represented by the product, and the intelligent terminal is used for obtaining the input information and product selection of a user.
Preferably, the server judges the common parameters as the surface characteristics of the product, including the length, width, height and shape of the product, and judges the characteristic parameters as the internal characteristics, including the production material and production process of the product; the commonality parameters and the characteristic parameters are combined to generate a unique product code in the product database for each product.
Preferably, the method for the server to select not less than one product from the product database as the product representative comprises the following steps: acquiring parameter information of all products in a product database; and matching the parameter information with the keyword information, and selecting the product which is most matched with the parameter information in the product database as a product representative.
Preferably, the server selects a specific parameter of the product commonality parameters as a classification basis to generate a commonality list, and the commonality list sent to the intelligent terminal includes: product number, product picture, product name and product price interval.
Preferably, after the server side sends the commonality list to the intelligent terminal to display the product parameters of the product representatives, the server side obtains the product representatives selected by the intelligent terminal, generates a characteristic list of the selected products according to the characteristic parameters of the products and transmits the characteristic list to the intelligent terminal again; the characteristic list comprises product codes, product pictures, product prices, product evaluations, minimum product purchase quantities and product purchase links.
Preferably, after the server sends the characteristic list to the intelligent terminal to display the product characteristic parameters represented by the product, the method further includes: acquiring purchase quantity information and user information transmitted by an intelligent terminal; and combining the purchase quantity information with the user information to generate order data, and processing the order data.
Preferably, when the purchase quantity fed back by the intelligent terminal is received by the server and is smaller than a preset minimum purchase quantity, the server selects other product information meeting the purchase quantity to generate a purchase list; sending the purchase list to an intelligent terminal to display the purchase list; and processing after receiving the feedback information of the intelligent terminal.
Preferably, after the server finishes processing the order data, the method further includes: the server side obtains product evaluation information of the intelligent terminal; and matching the evaluation information of the product to the corresponding product by combining the order data.
The invention has the advantages that: the invention adopts a unique classification mechanism to classify all products according to the common parameters and the characteristic parameters, so that each product has a unique product code; various information of the product is obtained at the intelligent terminal and is clear at a glance, wherein the information comprises the name of the product, performance parameters, price information provided by a supplier, the minimum purchase quantity, delivery time, a delivery place and a transportation channel; even if the quantity requirement of the user is lower than the minimum purchasing quantity required by a supplier, the product can be obtained through other purchasing channels, and the user can be ensured to quickly obtain the product required by the user; and finally, a feedback mechanism is also arranged, so that the purchased user can evaluate the purchased commodities, actual reference is provided for the user in the future, and meanwhile, precious opinions are provided for the supplier to improve the product of the supplier.
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FIG. 1 is a diagram of the method steps of the present invention;
fig. 2 is a system connection diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described below with reference to specific embodiments, and it is to be noted that the embodiments are only examples of practical applications of the present invention and do not represent that the scope of the present invention is limited thereto.
Example (b):
the invention provides a catalog type product pushing method based on a B2C platform, which aims at pushing products for LED lamps and comprises the following steps:
s1: acquiring keywords selected by an intelligent terminal;
in this step, a user establishes a connection with a server through an intelligent terminal, and then selects an LED lamp to be purchased on the server, for example, the user wants to purchase an LED lamp with a 12w white light source of 1 meter in length, the user selects "lamp" item at the intelligent terminal by using input during screening, and the keyword fed back to the product database is "lamp" at this time.
S2, selecting at least one product from the product database as a product representative according to the keywords recorded in the step S1; in this embodiment, first, parameter information of all products in a product database is obtained; and matching the parameter information with the keyword information, and selecting the product which is most matched with the parameter information in the product database as a product representative.
S3, extracting the surface feature product parameters represented by the product as common parameters to generate a common list;
in this embodiment, the common parameters of the product include length, width, height, product shape, and the like, and in the LED lamp industry, the common parameters of the product include length, shape, inner diameter, product number, outer diameter, and the like of the lamp; the method includes the steps that a certain common parameter is used as a classification basis to classify all products, for example, the lengths of the LED lamps are used as the classification basis, when a common list is generated, all the LED lamps with the same length are arranged in the same common list, then the LED lamps are correspondingly arranged in the common list according to other common parameters of the LED lamps, and the content displayed in a table area is different, so that the identity and the difference of all the products can be visually known, and specific schematic diagrams can be seen in tables 1 and 2.
TABLE 1
1 meter long LED lamp
TABLE 2
2 m long LED lamp
The various information of the product can be intuitively known from the generated commonality list, meanwhile, the difference between various products can be intuitively compared, and taking table 1 as an example, a user wants to buy an LED lamp, and the LED lamp with the length of 1M is also classified into various types according to the commonality list: the shapes of the lamps are different, the sizes of products are different, and the prices are different; this comparison makes it clear, even if not understood by those in the LED light fixture industry, that the differences between these products are, the greatest differences between L2-U01 and L2-U02 are in the difference in outside diameter; the greatest difference between L2-U01 and L2-V01 is that the external shapes are not the same; table 1 differs from table 2 in that the LED fixtures are different in length; through the form of the common list, the users are helped to better distinguish and screen the products, and then the satisfactory products are selected.
Of course, the above listed table represents only one specific application of the present application, and if other classification criteria are adopted, the same or similar common table as the present application shall be obtained, all belonging to the protection scope of the present application!
S4: the commonality list is sent to the intelligent terminal to display the product parameters represented by the products, so that the user can conveniently look up the product information on the intelligent terminal, distinguish the differences among various products, know the distinguishing points of the products with different prices, and avoid the occurrence of the situation that the user suffers from business cheating due to disordered market price and willful pricing.
S5: after the product representative selected by the intelligent terminal is obtained, a characteristic list is generated for the selected product according to the characteristic parameters of the product, and the characteristic list is sent to the intelligent terminal to display the specific product parameters represented by the product.
In this embodiment, after a user selects a product in the commonality list, a characteristic list is generated by combining characteristic parameters such as production materials and production processes of the product, and for an LED lamp, the characteristic parameters include production materials, production processes, light-emitting colors, and the like of the lamp, and then the characteristic parameters are combined with product codes, product pictures, product prices, product evaluations, minimum product purchase quantities, and product purchase links to generate a characteristic list which is pushed to the intelligent terminal for display; it is specifically stated that the product code mentioned here is a unique code produced by combining the product number in the commonality list with the characteristic parameters of the product itself, and each product has a unique code in the product database, and the specific schematic diagram can be referred to table 3.
TABLE 3
Various detailed data of the product can be clearly obtained from the characteristic list, each item of parameter information of the product can be obtained by combining the common list and the characteristic list, and the parameter information of all links from the generated material to the final finished product can be known.
S6: acquiring purchase quantity information and user information transmitted by an intelligent terminal; and combining the purchase quantity information with the user information to generate order data, and processing the order data.
In the embodiment, after a user selects a satisfied product on an intelligent terminal, a product purchasing link column in a characteristic list is clicked to book the product, if the user logs in advance, login information of the user is pulled, order data is generated by combining purchase quantity information of the user, and then the order data is processed; if the user does not log in, the user is required to input personal information when product reservation is carried out, and therefore order data is generated by combining purchase quantity information for processing.
When the purchase quantity is smaller than the preset minimum purchase quantity, automatically selecting other product information meeting the purchase quantity to generate a second group purchase list; sending the second group of purchase lists to the intelligent terminal to display the second group of purchase lists; and processing after receiving feedback information of the intelligent terminal, wherein the feedback information comprises the actual quantity of the purchase, the unit price of the product, the total price of the product and personal information of the user. The personal information of the user includes a user name, a contact address and a user address.
After the above steps are completed, a step S7 is further included: acquiring product evaluation information of the intelligent terminal; the product evaluation information corresponds to each product, and the evaluation information of the products is put into a product user evaluation column in a recommendation list, so that a subsequent user can fully know the product use experience of the user in advance, and the user is further helped to know the products during shopping.
As another optional embodiment of the invention, when the user enters the keyword, the user can also directly enter the keyword, for example, the user wants to purchase a 12w white light source LED lamp with the length of 1 meter, and the user enters the keyword in a search bar: the keyword finally fed back to the product database by the 12w white LED lamp 1 meter is the 1 meter long 12w white LED lamp, and the user directly obtains the feature list at the intelligent terminal at the moment.
In order to match the method, the invention also discloses a catalog type product pushing system based on the B2C platform, the system comprises an intelligent terminal and a server side, the server side selects at least one product from a product database as a product representative according to the keywords, and extracts the parameters of the surface characteristic product represented by the product as common parameters to generate a common list; sending the commonality list to the intelligent terminal to display the product commonality parameters represented by the products; after a product representative selected by the intelligent terminal is obtained, generating a characteristic list of the selected product according to characteristic parameters of the product, sending the characteristic list to the intelligent terminal to display specific product parameters represented by the product, wherein the intelligent terminal is used for obtaining input information and product selection of a user; the commonality parameters and the characteristic parameters are combined to generate a unique product code in the product database for each product.
Referring to fig. 2, in this embodiment, the server includes a product database unit, a matching unit and a processing unit, information classification is performed on products in advance, all product information is entered into the product database unit, after a keyword transmitted by the intelligent terminal is received, the matching unit extracts characteristic information for the keyword, then the keyword is matched with the product information in the product database unit, a product parameter representing product performance represented by the product is extracted, a recommendation list is generated, and the recommendation list is transmitted to the intelligent terminal for display; the intelligent terminal device comprises an electronic device which can establish network connection with a server side, such as a smart phone, a computer, a tablet computer, a personal digital assistant and the like.
When a common list is generated and pushed, the server selects a specific parameter in the product common parameters as a classification basis to generate the common list, and then the common list is transmitted to the intelligent terminal, wherein the common list comprises: product name, product appearance, product picture, product number, product size, product price interval and other information.
After the server side sends the commonality list to the intelligent terminal to display the product parameters of the product representatives, the server side obtains the product representatives selected by the intelligent terminal, and the selected products generate a characteristic list according to the characteristic parameters of the products and are transmitted to the intelligent terminal again; the characteristic list comprises a product name, a product code, a product picture, a product price, a product evaluation, a minimum purchase quantity of the product and a product purchase link.
After the server side sends the characteristic list to the intelligent terminal to display the characteristic parameters of the products represented by the products, the server side obtains purchase quantity information and user information transmitted by the intelligent terminal; combining the purchase quantity information with the user information to generate order data, and processing the order data by a processing unit of the server side; when the server receives that the purchase quantity fed back by the intelligent terminal is smaller than the preset minimum purchase quantity, the server selects other product information meeting the purchase quantity to generate a purchase list; sending the purchase list to the intelligent terminal for display; and the user operates on the intelligent terminal, and the processing unit processes the order information after the server receives the feedback information of the intelligent terminal, wherein the processing mode is to distribute the product in time according to the order information.
After the server end completes the processing of the order data, the method further comprises the following steps: the server side obtains product evaluation information of the intelligent terminal; and matching the evaluation information of the product to the corresponding product by combining the order data. Therefore, subsequent users can fully know the product use experience of the users in advance, and the users are further helped to know the products during shopping.
The working process of the invention is as follows: the method comprises the steps that a user adopts an intelligent terminal such as an intelligent mobile phone, a computer and a tablet personal computer to be connected with a server, the server obtains data information of the intelligent terminal, the user selects keywords on the intelligent terminal according to a product catalog, a matching unit of the server extracts characteristic information aiming at the product information keywords, then the characteristic information is matched with product information in a product database unit, at least one product is selected from the product database unit to serve as a product representative, product parameters representing product performances of the product representative are extracted to generate a common list, and then the common list is transmitted to the intelligent terminal to be displayed. When a user selects a product to be purchased, the product is selected on the intelligent terminal, after the server receives the product selected by the user, the server transmits the characteristic parameter production characteristic list of the product to the intelligent terminal again, after the user selects for the second time, the purchase quantity is input, the processing unit combines the personal information of the user to generate order data, and then the product is distributed in time according to the order data; and if the purchase quantity of the user does not accord with the preset minimum purchase quantity, the processing unit selects products meeting the requirements according to the submitted purchase quantity to generate a second group of recommendation lists, the second group of recommendation lists are transmitted to the intelligent terminal to be displayed, the user performs reservation according to the second group of recommendation lists, then order data are generated by combining the personal information of the user, and the products are delivered in time according to the order data.
In this embodiment, the server is further provided with a customization unit, when a user does not find a product of the user's mind set after searching, the customization unit can enter the customization unit to customize the LED lamp, specific parameters of the LED lamp are all entered in the customization unit, after the customization unit obtains the customization demand information of the user, a product with the highest matching degree with the customization demand information is searched from the product database unit, and a corresponding supplier is contacted to quote the customization demand of the user, after the user customizes, the customized product of the user can be recorded in the product database unit, and if a subsequent user needs the customized product, detailed data of the customized product can be obtained after the subsequent user needs to contact the user.
The invention has the advantages that:
1) the product characteristics are classified according to different rules, and each product is endowed with a unique product code, so that each product can be accurately classified;
2) all commodity information is clear at a glance, and a user can accurately acquire a required product according to the requirement of the user, so that the interference of other products during retrieval is avoided;
3) the server is internally provided with a customization unit, so that the user can customize service if not retrieving a satisfactory product, and the actual requirements of the user can be met.
The above disclosure is only for a few specific embodiments of the present invention, but the present invention is not limited thereto, and any variations that can be made by those skilled in the art are intended to fall within the scope of the present invention.
Claims (10)
1. A catalog type product pushing method based on a B2C platform is characterized by comprising the following steps: acquiring keywords selected by an intelligent terminal; selecting at least one product from a product database as a product representative according to the keywords, and extracting parameters of the surface feature product represented by the product as commonalities parameters to generate a commonalities list; sending the commonality list to an intelligent terminal to display the product commonality parameters represented by the products; after a product representative selected by the intelligent terminal is obtained, generating a characteristic list for the selected product according to the characteristic parameters of the product, and sending the characteristic list to the intelligent terminal to display the specific product parameters represented by the product;
the common parameters are surface characteristics of the product, including the length, width, height and shape of the product, and the characteristic parameters are internal characteristics of the product, including production materials and production processes of the product; combining the commonality parameters and the characteristic parameters such that each product generates a unique product code in the product database;
selecting a specific parameter from the product commonality parameters as a classification basis to generate a commonality list, wherein the commonality list comprises: product number, product picture, product name and product price interval;
acquiring a product representative selected by the intelligent terminal, generating a characteristic list of the selected product according to the characteristic parameters of the product, and transmitting the characteristic list to the intelligent terminal again; the characteristic list comprises product codes, product pictures, product prices, product evaluations, minimum product purchase quantities and product purchase links.
2. The B2C platform-based catalog product pushing method as claimed in claim 1, wherein: the method for selecting not less than one product from the product database as a product representative according to the keywords comprises the following steps: acquiring parameter information of all products in a product database; and matching the parameter information with the keyword information, and selecting the product which is most matched with the parameter information in the product database as a product representative.
3. The directorywise product pushing method based on the B2C platform, wherein after sending the property list to an intelligent terminal to display the product property parameters represented by the product, the method further comprises: acquiring purchase quantity information and user information transmitted by an intelligent terminal; and combining the purchase quantity information with the user information to generate order data, and processing the order data.
4. The B2C platform-based catalog product pushing method as claimed in claim 3, wherein: when the purchase quantity is smaller than the preset minimum purchase quantity, selecting other product information meeting the purchase quantity to generate a purchase list; sending the purchase list to an intelligent terminal to display the purchase list; and processing after receiving the feedback information of the intelligent terminal.
5. The B2C platform-based catalog product pushing method according to claim 3, wherein after said order data processing, further comprising: acquiring product evaluation information of the intelligent terminal; and matching the product evaluation information to the corresponding product by combining the order data.
6. The catalog type product pushing system based on the B2C platform is characterized by comprising an intelligent terminal and a server side, wherein the server side selects at least one product from a product database as a product representative according to keywords, and extracts parameters of surface feature products represented by the product as commonalities parameters to generate a commonalities list; sending the commonality list to an intelligent terminal to display the product commonality parameters represented by the products; after a product representative selected by the intelligent terminal is obtained, generating a characteristic list of the selected product according to characteristic parameters of the product, and sending the characteristic list to the intelligent terminal to display specific product parameters represented by the product, wherein the intelligent terminal is used for obtaining input information and product selection of a user;
the server judges the common parameters as the surface characteristics of the product, including the length, width, height and shape of the product, and judges the characteristic parameters as the internal characteristics, including the production material and production process of the product; combining the commonality parameters and the characteristic parameters to generate a unique product code in the product database for each product;
the server selects a specific parameter in the product commonality parameters as a classification basis to generate a commonality list, and the commonality list sent to the intelligent terminal comprises the following steps: product number, product picture, product name and product price interval;
after the commonality list is transmitted to the intelligent terminal to display the product parameters of the product representatives, the server side obtains the product representatives selected by the intelligent terminal, generates a characteristic list of the selected products according to the characteristic parameters of the products and transmits the characteristic list to the intelligent terminal again; the characteristic list comprises product codes, product pictures, product prices, product evaluations, minimum product purchase quantities and product purchase links.
7. The B2C platform-based catalog product pushing system according to claim 6, wherein the method for the server side to select not less than one product from the product database as the product representative comprises: acquiring parameter information of all products in a product database; and matching the parameter information with the keyword information, and selecting the product which is most matched with the parameter information in the product database as a product representative.
8. The B2C platform-based catalog product push system of claim 6, wherein after said server sends said property list to a smart terminal to display the product property parameters represented by said product, further comprising: acquiring purchase quantity information and user information transmitted by an intelligent terminal; and combining the purchase quantity information with the user information to generate order data, and processing the order data.
9. The B2C platform-based catalog product pushing system of claim 8, wherein when the purchase quantity fed back by the server-side receiving intelligent terminal is less than a preset minimum purchase quantity, the server-side selects other product information satisfying the purchase quantity to generate a purchase list; sending the purchase list to an intelligent terminal to display the purchase list; and processing after receiving the feedback information of the intelligent terminal.
10. The directory product pushing system based on B2C platform of claim 8, further comprising, after the server side completes processing the order data: the server side obtains product evaluation information of the intelligent terminal; and matching the product evaluation information to the corresponding product by combining the order data.
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