Method for providing article selection reference information and electronic equipment

Abstract

The embodiment of the invention discloses a method for providing article selection reference information and electronic equipment. The method comprises the following steps: receiving an article selection request initiated by a first user for a purchase demand in a first commodity information service system; operation options used for inputting target selection categories / industries are provided, and a plurality of selection solution options are provided for a first user to select; wherein the plurality of article selection solution options are a plurality of article selection thought information defined in advance for article selection requirements related to commodity batch purchase or customization in a target article selection category / industry; according to the input target item category / industry and the selected target item solution, an item selection report is provided, and the item selection report is obtained according to the item supply data in the first item information service system by an artificial intelligence AI large model. And the at least one second commodity information service system is generated by data generated in a commodity selling process oriented to the individual consumer user. According to the embodiment of the invention, a user can be helped to find satisfactory goods sources and make decisions more conveniently and quickly.

Description

Technical Field

[0001] The present application relates to the field of information processing technology, and in particular to a method and electronic device for providing product selection reference information. Background Art

[0002] In e-commerce scenarios related to cross-border trade, buyers usually belong to Class B buyers. Different from Class C buyers (individual consumers or terminal buyers who purchase goods mainly for personal consumption), so-called Class B buyers usually refer to bulk buyers or corporate buyers. They purchase goods in large quantities and may use them for commercial purposes, such as wholesale, resale, etc. Therefore, their shopping patterns and interaction methods on e-commerce platforms will also be different from those of Class C buyers.

[0003] In actual applications, Class B buyers (who are also operators in C-end e-commerce platforms or operators of offline stores) need to continuously innovate products to better attract and retain customers and gain market competitive advantages. In order to achieve the above purpose, in the existing technology, before "purchasing goods" through cross-border e-commerce platforms, Class B buyers usually need to roughly determine the products that may be popular at the moment by checking the "list" data in the C-end e-commerce platform, watching some anchors' "carrying goods" videos on short video platforms, etc., and then search for the same or similar products on the cross-border e-commerce platform. If a suitable product is found, inquire the merchant, etc. Obviously, in the process of selecting products and inquiring, Class B buyers may need to switch back and forth between multiple different platforms due to lack of data, lack of tools, lack of experience, etc., which is very inefficient and difficult to find a satisfactory source of goods. Summary of the invention

[0004] The present application provides a method and electronic device for providing product selection reference information, which can help users find satisfactory sources of goods and make decisions more conveniently and quickly.

[0005] This application provides the following solutions:

[0006] A method for providing product selection reference information, comprising:

[0007] Receiving, in the first commodity information service system, a product selection request initiated by a first user in response to his / her purchasing needs;

[0008] Providing an operation option for inputting a target product selection category / industry, and providing multiple product selection solution options for the first user to select; wherein the multiple product selection solution options are multiple product selection idea information pre-defined for product selection requirements related to bulk purchase or customization of goods in the target product selection category / industry;

[0009] A product selection report is provided based on the input target product selection category / industry and the selected target product selection solution. The product selection report is generated by an artificial intelligence AI big model based on the product supply data in the first product information service system and the data generated by at least one second product information service system in the process of selling products to individual consumer users.

[0010] Wherein, the first commodity information service system is a cross-border commodity information service system;

[0011] When providing the operation options and product selection solution options, multiple target sales country / region options are also provided so that the first user can select the target sales country / region; the product selection solution option is related to the selected target sales country / region.

[0012] Among them, the product selection report provides at least one commodity category related to the target product selection category / industry, and provides corresponding recommended commodities for each commodity category, as well as the supply situation of each commodity category in the first commodity information service system and the relevant statistical data of the sales process in the second commodity information service system. The relevant statistical data include at least one of the following items: average retail unit price, average sales volume, average search volume, competition situation, and matching situation with the current target product selection solution.

[0013] Among them, it also includes:

[0014] After receiving a request to view a detailed report of one of the product categories, the detailed report content corresponding to the product category is displayed, and the detailed report content includes: content summarizing the market performance of the product category during the sales process in the second product information service system, content summarizing the behavioral performance or needs of individual consumers in the process of purchasing products in this product category, and the supply situation of multiple recommended items under the product category in the first product information service system, relevant statistical data during the sales process in the second product information service system, and content related to the estimated interest rate.

[0015] In the detailed report content of the commodity category, relevant statistical data of the sales process of the commodity category in the second commodity information service system are displayed in the form of charts.

[0016] Among them, the detailed report of the product category also includes: product recommendation information that may be top opportunity products under the product category.

[0017] Among them, the recommended products that may be top-tier opportunities are also associated with detailed report content at the product granularity, which includes: a summary of the market performance of the product during the sales process in the second product information service system, the supply situation of the product in the first product information service system, relevant statistical data during the sales process in the second product information service system, and content related to the estimated interest rate.

[0018] A method for providing product selection reference information, comprising:

[0019] Receiving, in the first product information service system, a product selection request submitted by a client, wherein the product selection request carries a target product selection category / industry input by a user and target product selection solution information selected, wherein the target product selection solution information is selected by the user from a plurality of product selection solution options displayed by the client, and the plurality of product selection solution options are a plurality of product selection idea information pre-defined for product selection requirements related to bulk purchase or customization of products in the target product selection category / industry;

[0020] Calling an AI big model according to the target product selection category / industry and the target product selection solution, wherein the AI ​​big model is used to generate a product selection report according to the product supply data in the first product information service system and the data generated by at least one second product information service system in the process of selling products to individual consumer users;

[0021] The product selection report is returned to the client for display so that the user can select products based on the product selection report.

[0022] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of any of the methods described above.

[0023] An electronic device, comprising:

[0024] one or more processors; and

[0025] A memory associated with the one or more processors, the memory being used to store program instructions, wherein the program instructions, when read and executed by the one or more processors, execute the steps of any of the methods described above.

[0026] A computer program product comprises a computer program / computer executable instructions, wherein the computer program / computer executable instructions implement the steps of any of the aforementioned methods when executed by a processor in an electronic device.

[0027] According to the specific embodiments provided in this application, this application discloses the following technical effects:

[0028] Through the embodiments of the present application, in the first commodity information service system with Class B buyers as the main first users, a product selection service can be provided for the first user. After the first user initiates a product selection request, an operation option for inputting a target product selection category / industry can be provided, and multiple product selection solution options can be provided for the first user to select, wherein such product selection solution options can be a variety of product selection idea information pre-defined for product selection needs related to bulk purchase or customization of commodities in the target product selection category / industry. Then, a product selection report can be provided based on the input target product selection category / industry and the selected target product selection solution. The product selection report can be specifically generated by an AI (artificial intelligence) large model based on the commodity supply data in the first commodity information service system and the data generated by at least one second commodity information service system in the process of selling commodities to individual consumer users. In this way, the first user, Class B buyer, can complete the organization and collection of information required in the commodity procurement process through a single operation in the current first commodity information service system. In addition, by pre-defining a variety of product selection solutions for the first user to choose based on the product selection needs related to bulk purchases or customization of commodities, the first user can clarify his or her product selection ideas. Combined with the capabilities of the AI ​​big model, it can help users find satisfactory sources of goods and make decisions more conveniently and quickly.

[0029] Among them, the specific product selection report may include specific recommended product information, and may be the products that can be provided in the current first product information service system. Therefore, the first user can directly place an order or initiate an inquiry to the corresponding second user, etc., and the user no longer needs to jump back and forth between multiple different systems, thereby improving efficiency.

[0030] Of course, any product implementing the present application does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0032] Figure 1 It is a schematic diagram of the system architecture provided by the embodiment of the present application;

[0033] Figure 2 is a flowchart of a client-side method provided in an embodiment of the present application;

[0034] Figure 3is a schematic diagram of a first interface provided in an embodiment of the present application;

[0035] Figure 4 is a schematic diagram of a second interface provided in an embodiment of the present application;

[0036] Figure 5 is a schematic diagram of a third interface provided in an embodiment of the present application;

[0037] Figure 6 is a schematic diagram of a fourth interface provided in an embodiment of the present application;

[0038] Figure 7 is a schematic diagram of a fifth interface provided in an embodiment of the present application;

[0039] Figure 8 is a schematic diagram of a sixth interface provided in an embodiment of the present application;

[0040] Fig. 9 is a flow chart of the server-side method provided in an embodiment of the present application;

[0041] Fig.10 It is a schematic diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0042] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments in the present application belong to the scope of protection of this application.

[0043] In an embodiment of the present application, in order to help Class B buyers find satisfactory sources of goods more efficiently and accurately, the product supply data provided by the B-end e-commerce platform can be combined with the sales-related data in the product information service system for B-end corporate buyer users (referred to as the B-end e-commerce platform) for individual consumer users on the C-end (referred to as the C-end e-commerce platform) to provide Class B buyers on the B-end e-commerce platform (referred to as "first users" in the embodiment of the present application, and suppliers and other merchants are referred to as "second users") with an integrated tool from product selection to procurement. Among them, since the embodiment of the present application provides services to users from the perspective of the B-end e-commerce platform, the commodity supply data in the B-end e-commerce platform belongs to the internal data of the system and can be directly obtained from the relevant database; and the data related to sales to C-type buyers in the C-end e-commerce platform can be obtained in a variety of ways. For example, if the B-end e-commerce platform has an associated C-end e-commerce platform, the associated C-end e-commerce platform can provide the B-end e-commerce platform with relevant data, or the B-end e-commerce platform can also purchase data through some channels to obtain it. Of course, in the process of obtaining relevant data through purchase, the relevant data can be desensitized. For example, the data related to specific user privacy can be desensitized and then applied to the analysis of the embodiment of the present application.

[0044] The content delivered by the above tools can be specifically in the form of data products such as product selection reports. For example, the product selection report may include sales trends in C-end e-commerce platforms (including sales volume, search volume, retail price, consumer evaluation, consumer insight analysis, etc.), cost-profit analysis after comparing the retail price in the C-end e-commerce platform with the wholesale price in the B-end e-commerce platform, service capability, production capability, and supply chain capability analysis of merchants in the B-end e-commerce platform, etc. Class B buyers can complete the organization and collection of all information in one operation.

[0045] Among them, in the process of implementing the above solution, AI (Artificial Intelligence) technology can also be applied to the scenario of generating specific product selection reports, that is, the specific product selection report can be generated by the AI ​​big model. The so-called AI big model refers to a deep learning model containing massive parameters. Due to its large scale, this AI big model can store and process a large amount of information, thereby achieving higher performance in various tasks. Therefore, relying on the powerful natural language text understanding, logical thinking and content generation capabilities of the pre-trained AI big model, the product supply data in the B-end e-commerce platform and the data generated in the sales process to individual consumers in the C-end e-commerce platform can be analyzed and inferred, and the corresponding product selection report can be generated in accordance with the prescribed format.

[0046] Of course, in the specific implementation, due to the large number of products, if the first user inputs the required product selection category or industry and then searches for products in the traditional way, there will usually be a lot of qualified products, which makes it difficult to really help users complete product selection. Therefore, in the embodiment of the present application, the concept of "product selection solution" is also proposed. This product selection solution can be a variety of product selection ideas defined in advance by the platform for product selection needs related to bulk purchases or customization of goods in a specific category / industry. Among them, the above-mentioned product selection solution can be defined manually, or it can also be a variety of product selection solutions generated by a large AI model through data analysis, and so on.

[0047] That is to say, since the application scenarios of the embodiments of the present application are mainly for Class B buyers, Class B buyers usually need to purchase in bulk or customize for the purpose of resale when selecting products, which is completely different from the purchase of goods by individual consumers. Some experienced Class B buyers will have some product selection ideas when purchasing sources, such as new products for resale, seasonal hot-selling products, small profits but quick turnover products, etc., and the supply structure corresponding to these different product selection ideas is also different. However, in the prior art, these product selection ideas usually only exist in the minds of buyers, and the platform can only perceive which products the user has specifically searched for and which products have been ordered. But in fact, these empirical product selection ideas are very helpful for users to find suitable sources of goods. Therefore, in the embodiments of the present application, a variety of product selection ideas can be defined specifically for this product selection demand related to bulk purchase or customization of goods, and each product selection idea corresponds to a product selection solution. For example, it can specifically include a solution for selecting products according to seasonality, or selecting opportunity products with a continuous increase in sales trends, or selecting products with low profits but good sales, etc. By defining a variety of product selection solutions in the system, novice buyers who do not understand cross-border e-commerce knowledge but want to try cross-border procurement can easily use good product selection ideas for procurement and sales.

[0048] Since a variety of different product selection solutions are pre-defined in the system, after the first user initiates a product selection request, the names and other information of these product selection solutions can be provided to the first user for selection. Then, a product selection report for this specific product selection solution can be generated by the AI ​​big model. Of course, the process of generating a product selection report by this AI big model can also be completed in advance in an offline manner. For example, various possible product selection solutions can be enumerated, and the AI ​​big model can generate multiple specific product selection reports based on each product selection solution, as well as B-end supply data and C-end sales data. In this way, when the user selects a certain product selection solution, the pre-generated product selection report can be returned to the user. Of course, since the C-end data and the B-end data are usually changing in real time, even if this product selection report is generated offline, it can be updated according to a certain period, for example, the product selection report is regenerated for each solution every day, and so on.

[0049] By providing the first user with this product selection report, the first user can obtain data related to C-end sales of specific products without having to conduct manual analysis on other C-end platforms and other systems. In addition, the product selection report usually includes information on recommended products. If you are interested in a certain product, you can directly purchase the product on the current B-end platform, or initiate an inquiry to the merchant, etc. In this way, B-type buyers can be guided to intuitively and clearly understand purchasing decision factors such as products, merchants, and profits when purchasing and selling, thereby helping B-type buyers find satisfactory sources of goods and make decisions more conveniently and quickly.

[0050] From the perspective of system architecture, see Figure 1 , it is possible to provide procurement demand management services for Class B buyers in the commodity information service system for Class B buyers. Through this service, Class B buyers can directly create specific procurement requirements in the system and manage the requirements. In addition, after creating the procurement requirements, the system client (which can be a mobile application or a web page of the Web type, etc.) can provide users with a product selection operation portal. After initiating a specific product selection request through this portal, the user can enter the specific category or industry that needs to be selected. In addition, the aforementioned multiple optional product selection solutions can also be provided. After the Class B buyer selects one of the solutions, a corresponding product selection report can be provided. As mentioned above, this product selection report can be generated by the AI ​​big model after analyzing and reasoning based on the specific target category / industry, target solution, and the commodity supply data of the B end and the sales data of the C end. Among them, the AI ​​big model can generate the above-mentioned product selection report after receiving a specific product selection request, or it can also generate corresponding product selection reports for a variety of different product selection solutions in advance in an offline manner, Figure 1Only the former situation is shown, but it is only used for example description and should not be regarded as limiting the scope of protection of the embodiments of the present application.

[0051] The specific solutions provided in the embodiments of the present application are described in detail below.

[0052] Embodiment 1

[0053] First, the first embodiment of the present application provides a method for providing product information from the perspective of the client. Figure 2 , the method may include:

[0054] S201: Receive a product selection request initiated by a first user in response to his / her purchasing needs in a first product information service system.

[0055] The first commodity information service system is a commodity information service system for Class B buyers, that is, the buyer users of the system are mainly Class B buyers, and Class B buyers usually trade with suppliers in bulk or customized ways after generating purchasing needs. In the embodiment of the present application, the first user can directly create a purchasing demand in the first commodity information service system and can also initiate a specific product selection request.

[0056] S202: Provide operation options for inputting a target product selection category / industry, and provide multiple product selection solution options for the first user to select; wherein, the multiple product selection solution options are multiple product selection idea information pre-defined for product selection needs related to bulk purchase or customization of goods in the target product selection category / industry.

[0057] After initiating a product selection request, the user can enter the specific product selection category / industry information required. In addition, multiple product selection solution options can be provided for the first user to choose from. As mentioned above, the specific product selection solution options can be pre-defined by the platform and provided to the first user for selection, so as to help the first user clarify his or her needs or product selection ideas, and then find the appropriate source of supply more accurately.

[0058] It should be noted here that, in specific implementation, since the commodity information system for Class B buyers is usually a cross-border service system, the buyers and sellers may come from multiple different countries. Class B buyers usually have target sales market requirements when purchasing commodities (that is, the country / region to which the specific commodities purchased are usually sold, etc., is usually consistent with the country / region where the buyer is located), and the sales strategies of suppliers in the platform may also be related to specific countries / regions. For example, a supplier may only supply Class B buyers in certain specific countries / regions, etc. This situation will also affect the user's product selection results. Therefore, in specific implementation, for cross-border situations, in addition to allowing the first user to select specific product selection categories / industries and product selection solutions, the first user can also select specific target sales markets, that is, in which specific countries / regions these commodities need to be sold. Correspondingly, specific product selection solutions can also be related to specific countries / regions, that is, different countries / regions can also correspond to a variety of different product selection solutions. Therefore, in specific implementation, the specific interface can be as follows: Figure 3 As shown, the user can select the country / region through the interface and select the desired solution. When multiple solution options are displayed, in addition to displaying the name of each solution, the corresponding explanatory description content can also be displayed to facilitate the user to understand its meaning.

[0059] It should be noted that when displaying product selection solutions, you can also recommend product selection solutions. There can be many specific recommendation bases. For example, you can make recommendations based on the selection of product selection solutions by other first users, or you can also make recommendations based on the current first user's personal preference information, and so on.

[0060] S203: Provide a product selection report based on the input target product selection category / industry and the selected target product selection solution. The product selection report is generated by an artificial intelligence AI big model based on the product supply data in the first product information service system and the data generated by at least one second product information service system in the process of selling products to individual consumer users.

[0061] After the user has selected a specific product selection category / industry and a target product selection solution, a product selection report can be provided to the first user. The product selection report can be generated by the AI ​​big model based on the product supply data in the first product information service system and the data generated by at least one second product information service system in the process of selling products to individual consumer users. Of course, since the specific product selection report is related to the product selection category / industry, the target product selection solution and even the target country / region, the data input into the AI ​​big model includes not only the supply data in the B-end system and the sales data in the C-end system, but also the aforementioned product selection category / industry, target product selection solution and even target country / region information. In addition, it can also include content fields, typesetting methods, etc. required in the product selection report. These typesetting methods can exist in the form of templates, etc. The above information can be constructed as prompt information (Prompt) of the AI ​​big model to guide the AI ​​big model to generate content.

[0062] The content of the specific generated product selection report can be diverse. For example, at least one product category related to the target product selection category / industry can be provided in the product selection report, and corresponding recommended products can be provided for each product category, as well as the supply situation of each product category in the first product information service system and the relevant statistical data of the sales process in the second product information service system. The relevant statistical data include: average retail unit price, average sales volume, average search volume, competition situation, and / or, matching situation with the current target product selection solution.

[0063] For example, in one example, suppose a first user needs a product selection report related to "Pick a ball" and the selected product selection solution is "Seasonal Sales Trend". The specific product selection report can be as follows: Figure 4 As shown, information of multiple categories such as "pickelball training shoes", "pickelball rackets", "pickelball balls", "pickelball women's clothing", "pickelball accessories", and "pickelball auxiliary equipment" can be provided in the product selection report. Among them, the specific categories displayed can be some popular product categories in related categories or industries determined by the AI ​​big model after analyzing and reasoning the C-end data and the B-end data, or the product categories that meet the current first user's preferences, etc. Among them, each product category can respectively display the supply situation in the first product information service system and the relevant statistical data during the sales process in the second product information service system. In addition, it can also include recommendation reason information for specific product categories. This recommendation reason can exist in the form of text, and the specific text content can also be generated by the AI ​​big model.

[0064] For example, for the category of "pickleball training shoes", the specific reason for recommendation can be: "Driven by the surge in popularity of this sport, the pickleball equipment market is experiencing rapid growth." In addition, the average wholesale price of this category in the current first product information service system, the average retail price in the second product information service system, the average sales volume, the average search volume, the competitive advantage, and the matching with the currently selected target selection solution (for example, for seasonal solutions, information about "high spring and summer" can be displayed), etc. For other categories, the specific content displayed can be similar and will not be described in detail here.

[0065] Specifically, after receiving a request to view a detailed report on one of the product categories, the detailed report content corresponding to the product category can also be displayed. The detailed report content may include: content summarizing the market performance of the product category in the sales process of the second product information service system, content summarizing the behavioral performance or needs of individual consumers in the process of purchasing products in this product category (which can be called "consumer insights"), and the supply situation of multiple recommended items under the product category in the first product information service system, relevant statistical data in the sales process of the second product information service system, and content related to the estimated interest rate. For example, click on Figure 4 After the "Pickelball Training Shoes" category is shown, the detailed report content about this category can be shown as follows Figure 5 As shown, it may include interpretation information on market performance, consumer insights, purchasing strategies, etc., to help users understand the situation of this category from multiple aspects.

[0066] In addition, in the detailed report content of a specific commodity category, relevant statistical data of the sales process of the commodity category in the second commodity information service system can also be displayed in the form of charts (including line charts, bar charts, etc.). Figure 6 As shown, it can include information about average sales, average search volume, crowd portraits, consumer comments, etc. Through this form of chart, specific information such as changing trends can be displayed, and various statistical data can be understood more intuitively and completely.

[0067] In addition, the detailed report of the commodity category can also include: recommendation information of commodities that may belong to the top opportunity products under the commodity category. Among them, the so-called top opportunity products can specifically refer to: products with broad market prospects, high profit margins, and may not have been fully developed or are in the process of industry transformation, or products that have the opportunity to become the "Top" products ranked high in the list in terms of sales, etc. Of course, the definition of such a top opportunity product can be input into the AI ​​big model, and the AI ​​big model will select the commodities in the current category that belong to this type of top opportunity product through analysis and comparison of C-end data and B-end data, etc. For example, for the category of "Pickball Training Shoes", the list of top opportunity products provided can be as follows: Figure 7 As shown, information on multiple fields such as wholesale price (supplier price), sales volume, sales volume, evaluation, profit, key differentiating factors, etc. of each product can be displayed.

[0068] Furthermore, the specific recommended products that may be top opportunity products may be further associated with detailed report content at the product granularity, which may include: a summary of the market performance of the product during the sales process in the second product information service system, the supply of the product in the first product information service system, relevant statistical data during the sales process in the second product information service system, and content related to the estimated interest rate. Figure 7 The Expand option for a product shown in Figure 7 After clicking on the down arrow in the figure, the detailed report content can be displayed as follows: Figure 8 As shown, etc.

[0069] In summary, through the embodiments of the present application, in the first commodity information service system with Class B buyers as the main first users, product selection services can be provided for the first users. After the first user initiates a product selection request, an operation option for inputting a target product selection category / industry can be provided, and multiple product selection solution options can be provided for the first user to select, wherein such product selection solution options can be a variety of product selection idea information pre-defined for product selection needs related to bulk purchase or customization of commodities in the target product selection category / industry. Then, a product selection report can be provided based on the input target product selection category / industry and the selected target product selection solution. The product selection report can be specifically generated by an AI (artificial intelligence) large model based on the commodity supply data in the first commodity information service system, and data generated by at least one second commodity information service system in the process of selling commodities to individual consumer users. In this way, the first user, Class B buyer, can complete the organization and collection of information required in the commodity procurement process through a single operation in the current first commodity information service system. In addition, by pre-defining a variety of product selection solutions for the first user to choose based on the product selection needs related to bulk purchases or customization of commodities, the first user can clarify his or her product selection ideas. Combined with the capabilities of the AI ​​big model, it can help users find satisfactory sources of goods and make decisions more conveniently and quickly.

[0070] Among them, the specific product selection report may include specific recommended product information, and may be the products that can be provided in the current first product information service system. Therefore, the first user can directly place an order or initiate an inquiry to the corresponding second user, etc., and the user no longer needs to jump back and forth between multiple different systems, thereby improving efficiency.

[0071] Embodiment 2

[0072] The second embodiment corresponds to the first embodiment and provides a method for providing product selection reference information from the perspective of the server. Fig. 9 , the method may include:

[0073] S901: receiving a product selection request submitted by a client in a first product information service system, wherein the product selection request carries a target product selection category / industry input by a user and target product selection solution information selected, wherein the target product selection solution information is selected by the user from a plurality of product selection solution options displayed by the client, and the plurality of product selection solution options are a plurality of product selection idea information pre-defined for product selection requirements related to bulk purchase or customization of products in the target product selection category / industry;

[0074] S902: Calling an AI big model according to the target product selection category / industry and the target product selection solution, wherein the AI ​​big model is used to generate a product selection report according to the product supply data in the first product information service system and the data generated by at least one second product information service system in the process of selling products to individual consumer users;

[0075] S903: Return the product selection report to the client for display, so that the user can select products based on the product selection report.

[0076] For the contents not described in detail in the second embodiment, please refer to the description of the first embodiment and other parts of this specification, which will not be repeated here.

[0077] It should be noted that the embodiments of the present application may involve the use of user data. In actual applications, user-specific personal data can be used in the scheme described herein within the scope permitted by applicable laws and regulations, subject to the requirements of applicable laws and regulations of the country where the user is located (for example, with the user's explicit consent, effective notification to the user, etc.).

[0078] Corresponding to the first embodiment, the embodiment of the present application further provides a device for providing product selection reference information, which may include:

[0079] A product selection request receiving unit, configured to receive a product selection request initiated by a first user in response to his / her purchasing needs in a first product information service system;

[0080] An option providing unit, configured to provide an operation option for inputting a target product selection category / industry, and provide a plurality of product selection solution options for the first user to select; wherein the plurality of product selection solution options are a plurality of product selection idea information pre-defined for product selection requirements related to bulk purchase or customization of goods in the target product selection category / industry;

[0081] The product selection report display unit is used to provide a product selection report based on the input target product selection category / industry and the selected target product selection solution. The product selection report is generated by the artificial intelligence AI big model based on the product supply data in the first product information service system and the data generated by at least one second product information service system in the process of selling products to individual consumer users.

[0082] Wherein, the first commodity information service system is a cross-border commodity information service system;

[0083] The option providing unit can also be used to: when providing the operation options and product selection solution options, also provide multiple target sales country / region options so that the first user can select the target sales country / region; the product selection solution option is related to the selected target sales country / region.

[0084] Among them, at least one commodity category related to the target product selection category / industry can be provided in the product selection report, and corresponding recommended commodities can be provided for each commodity category, as well as the supply situation of each commodity category in the first commodity information service system and the relevant statistical data of the sales process in the second commodity information service system. The relevant statistical data include at least one of the following items: average retail unit price, average sales volume, average search volume, competition situation, and matching situation with the current target product selection solution.

[0085] In addition, the device may also include:

[0086] A detailed report content display unit is used to display the detailed report content corresponding to one of the commodity categories after receiving a request to view the detailed report of the commodity category, and the detailed report content includes: content summarizing the market performance of the commodity category in the sales process of the second commodity information service system, content summarizing the behavioral performance or needs of individual consumers in the process of purchasing commodities in the commodity category, and the supply situation of multiple recommended items under the commodity category in the first commodity information service system, relevant statistical data in the sales process of the second commodity information service system, and content related to the estimated interest rate.

[0087] In the detailed report content of the commodity category, relevant statistical data of the sales process of the commodity category in the second commodity information service system may be displayed in the form of charts.

[0088] In addition, the detailed report of the product category may also include: product recommendation information that may be top opportunity products under the product category.

[0089] Among them, the recommended products that may be top-tier opportunities are also associated with detailed report content at the product granularity, which includes: a summary of the market performance of the product during the sales process in the second product information service system, the supply situation of the product in the first product information service system, relevant statistical data during the sales process in the second product information service system, and content related to the estimated interest rate.

[0090] Corresponding to the second embodiment, the embodiment of the present application further provides a device for providing product selection reference information, which may include:

[0091] A request receiving unit is used to receive a product selection request submitted by a client in a first product information service system, wherein the product selection request carries a target product selection category / industry input by a user and selected target product selection solution information, wherein the target product selection solution information is selected by the user from a plurality of product selection solution options displayed by the client, and the plurality of product selection solution options are a plurality of product selection idea information pre-defined for product selection requirements related to bulk purchase or customization of products in the target product selection category / industry;

[0092] A product selection report generating unit, configured to call an AI big model according to the target product selection category / industry and the target product selection solution, wherein the AI ​​big model is configured to generate a product selection report according to the product supply data in the first product information service system and the data generated by at least one second product information service system in the process of selling products to individual consumer users;

[0093] The product selection report returning unit is used to return the product selection report to the client for display so that the user can select products based on the product selection report.

[0094] In addition, an embodiment of the present application further provides a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the steps of any one of the methods in the aforementioned method embodiments are implemented.

[0095] And an electronic device, comprising:

[0096] one or more processors; and

[0097] A memory associated with the one or more processors, the memory being used to store program instructions, wherein the program instructions, when read and executed by the one or more processors, execute the steps of the method described in any one of the aforementioned method embodiments.

[0098] A computer program product includes a computer program / computer executable instructions, which, when executed by a processor in an electronic device, implement the steps of the method described in the aforementioned method embodiment.

[0099] in, Fig.10 The electronic device architecture is shown as an example, which may include a processor 1010, a video display adapter 1011, a disk drive 1012, an input / output interface 1013, a network interface 1014, and a memory 1020. The processor 1010, the video display adapter 1011, the disk drive 1012, the input / output interface 1013, the network interface 1014, and the memory 1020 may be communicatively connected via a communication bus 1030.

[0100] Among them, the processor 1010 can be implemented by a general-purpose CPU (Central Processing Unit, processor), a microprocessor, an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), or one or more integrated circuits, etc., to execute relevant programs to implement the technical solution provided in this application.

[0101] The memory 1020 can be implemented in the form of ROM (Read Only Memory), RAM (Random Access Memory), static storage device, dynamic storage device, etc. The memory 1020 can store an operating system 1021 for controlling the operation of the electronic device 1000, and a basic input and output system (BIOS) for controlling the low-level operation of the electronic device 1000. In addition, a web browser 1023, a data storage management system 1024, and a product selection reference information processing system 1025, etc. can also be stored. The above-mentioned product selection reference information processing system 1025 can be an application program that specifically implements the operations of the aforementioned steps in the embodiment of the present application. In short, when the technical solution provided in the present application is implemented by software or firmware, the relevant program code is stored in the memory 1020 and is called and executed by the processor 1010.

[0102] The input / output interface 1013 is used to connect the input / output module to realize information input and output. The input / output module can be configured in the device as a component (not shown in the figure), or it can be externally connected to the device to provide corresponding functions. The input device may include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and the output device may include a display, a speaker, a vibrator, an indicator light, etc.

[0103] The network interface 1014 is used to connect to a communication module (not shown) to realize communication interaction between the device and other devices. The communication module can realize communication through a wired mode (such as USB, network cable, etc.) or a wireless mode (such as mobile network, WIFI, Bluetooth, etc.).

[0104] The bus 1030 comprises a pathway for transmitting information between the various components of the device (eg, the processor 1010, the video display adapter 1011, the disk drive 1012, the input / output interface 1013, the network interface 1014, and the memory 1020).

[0105] It should be noted that, although the above device only shows a processor 1010, a video display adapter 1011, a disk drive 1012, an input / output interface 1013, a network interface 1014, a memory 1020, a bus 1030, etc., in the specific implementation process, the device may also include other components necessary for normal operation. In addition, it can be understood by those skilled in the art that the above device may also only include components necessary for implementing the solution of the present application, and does not necessarily include all the components shown in the figure.

[0106] It can be known from the description of the above implementation methods that those skilled in the art can clearly understand that the present application can be implemented by means of software plus a necessary general hardware platform. Based on such an understanding, the technical solution of the present application can be essentially or partly contributed to the prior art in the form of a software product, which can be stored in a storage medium such as ROM / RAM, a magnetic disk, an optical disk, etc., and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in the various embodiments of the present application or certain parts of the embodiments.

[0107] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can refer to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system or system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can refer to the partial description of the method embodiment. The system and system embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without creative work.

[0108] The above is a detailed introduction to the method and electronic device for providing product selection reference information provided by the present application. This article uses specific examples to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method and its core idea of ​​the present application. At the same time, for those skilled in the art, according to the idea of ​​the present application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting the present application.

Claims

1. A method for providing product selection reference information, characterized in that: include: Receiving, in the first commodity information service system, a product selection request initiated by a first user in response to his / her purchasing needs; Providing an operation option for inputting a target product selection category / industry, and providing multiple product selection solution options for the first user to select; wherein the multiple product selection solution options are multiple product selection idea information pre-defined for product selection requirements related to bulk purchase or customization of goods in the target product selection category / industry; A product selection report is provided based on the input target product selection category / industry and the selected target product selection solution. The product selection report is generated by an artificial intelligence AI big model based on the product supply data in the first product information service system and the data generated by at least one second product information service system in the process of selling products to individual consumer users.

2. The method according to claim 1, characterized in that The first commodity information service system is a cross-border commodity information service system; When providing the operation options and product selection solution options, multiple target sales country / region options are also provided so that the first user can select the target sales country / region; the product selection solution option is related to the selected target sales country / region.

3. The method according to claim 1, characterized in that The product selection report provides at least one commodity category related to the target product selection category / industry, and provides corresponding recommended commodities for each commodity category, as well as the supply situation of each commodity category in the first commodity information service system and the relevant statistical data of the sales process in the second commodity information service system. The relevant statistical data include at least one of the following items: average retail unit price, average sales volume, average search volume, competition situation, and matching situation with the current target product selection solution.

4. The method according to claim 3, characterized in that Also includes: After receiving a request to view a detailed report of one of the product categories, the detailed report content corresponding to the product category is displayed, and the detailed report content includes: content summarizing the market performance of the product category during the sales process in the second product information service system, content summarizing the behavioral performance or needs of individual consumers in the process of purchasing products in this product category, and the supply situation of multiple recommended items under the product category in the first product information service system, relevant statistical data during the sales process in the second product information service system, and content related to the estimated interest rate.

5. The method according to claim 4, characterized in that In the detailed report content of the commodity category, relevant statistical data of the sales process of the commodity category in the second commodity information service system are displayed in the form of charts.

6. The method according to claim 4, characterized in that The detailed report of the product category also includes: product recommendation information that may be top opportunity products under the product category.

7. The method according to claim 6, characterized in that The recommended products that may be top-tier opportunities are also associated with detailed report content at the product granularity, which includes: a summary of the market performance of the product during the sales process in the second product information service system, the supply situation of the product in the first product information service system, relevant statistical data during the sales process in the second product information service system, and content related to the estimated interest rate.

8. A method for providing product selection reference information, characterized in that: include: Receiving, in the first product information service system, a product selection request submitted by a client, wherein the product selection request carries a target product selection category / industry input by a user and target product selection solution information selected, wherein the target product selection solution information is selected by the user from a plurality of product selection solution options displayed by the client, and the plurality of product selection solution options are a plurality of product selection idea information pre-defined for product selection requirements related to bulk purchase or customization of products in the target product selection category / industry; Calling an AI big model according to the target product selection category / industry and the target product selection solution, wherein the AI ​​big model is used to generate a product selection report according to the product supply data in the first product information service system and the data generated by at least one second product information service system in the process of selling products to individual consumer users; The product selection report is returned to the client for display so that the user can select products based on the product selection report.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the method described in any one of claims 1 to 8 are implemented.

10. An electronic device, characterized in that: include: one or more processors; as well as A memory associated with the one or more processors, the memory being used to store program instructions, wherein the program instructions, when read and executed by the one or more processors, execute the steps of the method described in any one of claims 1 to 8.

11. A computer program product comprising a computer program / computer executable instructions, characterized in that: When the computer program / computer executable instructions are executed by a processor in an electronic device, the steps of the method according to any one of claims 1 to 8 are implemented.

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