Data processing method for electronic commerce and electronic device

Abstract

The application discloses an e-commerce data processing method and an electronic device. The method comprises the following steps: obtaining first customer information and response information responding to prompt information, wherein the response information has a target direction of commodity consumption demand; determining at least one target commodity category template from a plurality of preset commodity category templates based on at least the first customer information and / or the response information; and determining intended commodity information corresponding to the first customer information based on at least the target commodity category template, wherein the intended commodity information comprises information of a commodity indicated by the target direction. The data processing method can configure intended commodity information suitable for a user according to the user's demand, simplify unnecessary commodity display, and facilitate the user to accurately and quickly select intended commodities based on the intended commodity information, thereby significantly improving the user's consumption experience.

Description

Technical Field

[0001] This application relates to the field of e-commerce, and in particular to a data processing method and electronic device for e-commerce. Background Technology

[0002] E-commerce plays an increasingly important role in the market economy, especially in the commodity trading e-commerce market, which is profoundly impacting consumers' daily lives. These e-commerce markets take various forms, primarily including traditional search platform e-commerce, social e-commerce, and content e-commerce. All existing commodity trading e-commerce markets share a common characteristic: they are product-oriented. This means the e-commerce market, acting as a seller's agent, establishes and develops the market centered on the product, unilaterally reflecting the seller's will in allocating and managing market commodity resources. In the establishment and development of these product-oriented e-commerce markets, consumers are in a subordinate position, especially in the allocation and management of market commodity resources. Consumers cannot directly exert the market influence and important role that buyers should have to ensure that the allocation of market commodity resources better meets the actual consumption needs of each individual consumer. For example, traditional search platform e-commerce typically concentrates extremely rich commodity resources, which is essentially beneficial to the overall consumption needs of all consumers. However, consumption is always carried out decentralized by individual consumers. Since the commodity consumption needs of individual users are not entirely the same as the overall consumption needs of all consumers, an overly complex commodity resource can actually interfere with the user's consumption experience. Summary of the Invention

[0003] The purpose of this application is to provide a data processing method and electronic device for e-commerce. This method can configure the user's intended product information according to the user's product consumption needs, simplify unnecessary product display, and facilitate the user to accurately and quickly select intended products based on the intended product information.

[0004] An embodiment of this application provides a data processing method for e-commerce, applied to a server, comprising:

[0005] Obtain first customer information and response information in response to prompt information, wherein the response information has a target orientation of product consumption demand;

[0006] Based at least on the first customer information and / or the response information, at least one target product category template is determined from a plurality of preset product category templates;

[0007] Based at least on the target product category template, intended product information corresponding to the first customer information is determined, wherein the intended product information includes information about the product indicated by the target.

[0008] Optionally, determining at least one target product category template from a plurality of preset product category templates, based at least on the first customer information and / or the response information, includes:

[0009] The second template library and the first template library corresponding to the first customer information are retrieved, wherein the first template library includes basic product category information and the second template library includes multiple product category templates;

[0010] Based on the first customer information and / or the response information, at least one pre-use product category template is determined from the second template library;

[0011] Based on the basic product category information and / or the pre-used product category template, at least one target product category template is formed.

[0012] Optionally, determining at least one target product category template from a plurality of preset product category templates, based at least on the first customer information and / or the response information, includes:

[0013] Retrieve the second template library, wherein the second template library includes multiple product category templates;

[0014] Based on the first customer information, at least one pre-use product category template is determined from the second template library; or, based on a preset selection mode, at least one pre-use product category template is determined from the second template library.

[0015] The pre-used product category template is determined as the target product category template.

[0016] Optionally, the method further includes:

[0017] Obtain active input information pointing to the target;

[0018] Based on the active input information and the response information, second customer information is generated;

[0019] Accordingly, determining at least one target product category template from a plurality of preset product category templates based at least on the first customer information and / or the response information includes:

[0020] Based on the first customer information and / or the second customer information, at least one target product category template is determined from a plurality of preset product category templates.

[0021] Optionally, the products corresponding to the product category template have attribute information and / or operating scope; the step of determining the intended product information corresponding to the first customer information based at least on the target product category template includes:

[0022] Based on the target product category template, as well as the product's attribute information and / or operating scope, the intended product information is determined.

[0023] Optionally, determining the intended product information based on the target product category template, and the product's attribute information and / or operating scope includes:

[0024] Based on the operational scope and the first customer information, the products indicated by the target product category template are filtered;

[0025] Based on the filtered products, the intended product information is determined.

[0026] Optionally, determining the intended product information based on the target product category template, and the product's attribute information and / or operating scope includes:

[0027] Obtain user settings information that are restricted to specific products and / or merchants;

[0028] Based on the user settings information, the attribute information of the product category is labeled;

[0029] Based on the attribute information of the labeled product categories, the products indicated in the target product category template are filtered;

[0030] Based on the filtered products, the intended product information is determined.

[0031] Optionally, the method further includes:

[0032] Obtain modification information that modifies the response information;

[0033] Based at least on the modified information, at least one target product category template is re-determined from the plurality of product category templates, so as to update the target product category template;

[0034] The updated target product template is associated with the first customer information.

[0035] This application also provides an e-commerce data processing method applied to a client, including:

[0036] Obtain prompt information representing consumer demand for goods, wherein the prompt information includes prompts indicating the target direction of consumer demand for goods;

[0037] The server responds to the prompt information and generates corresponding response information so that it determines at least one target product category template from a plurality of preset product category templates based at least on the response information and / or the first customer information, wherein the first customer information corresponds to the client.

[0038] Displays intended product information corresponding to the first customer information, wherein the intended product information includes information about the product indicated by the target, and the intended product information is determined at least based on the target product category template.

[0039] This application also provides an electronic device, including a processor and a memory, wherein the memory stores an executable program, and the processor processes the executable program to perform the steps in the data processing method applied to a server as described above.

[0040] This application includes at least the following beneficial effects:

[0041] The data processing method described in this application can establish a customized user market by configuring product resources highly relevant to the user's consumption needs, centered on the user unit. For users, product resources that meet their consumption needs are centralized, unnecessary product displays are simplified, the product consumption process is facilitated, and the user's consumption experience in the e-commerce market is significantly improved. Clearly, a customized user market is fully user-oriented, more user-friendly, and therefore more practical.

[0042] The data processing method described in this application can select and configure product resources highly relevant to user consumption needs on a per-user basis, adapting well to users' spending power, preferences, and habits, and dynamically responding to diverse user needs. This includes adapting to the differentiated needs of different users, as well as the evolving needs of specific users over time. Therefore, the customized / user-oriented e-commerce system is more flexible, continuously and closely anchoring to the consumption needs of each user unit, thereby providing users with comprehensive product consumption services.

[0043] The data processing method described in this application can decompose a centralized supermarket structure into numerous user-end micro-markets, forming a decentralized market structure. While providing users with customized consumption scenarios, the product category system based on these micro-markets, sharing the same roots, still demonstrates strong centralized integration capabilities, maintaining the advantage of abundant product resources and avoiding the fragmentation of product resources that some decentralized e-commerce systems suffer from. It also maintains effective management of the product supply side, ensuring that services to users are not compromised from the source. Therefore, establishing the aforementioned customized / user-oriented e-commerce system can simultaneously combine the advantages of centralized and decentralized e-commerce markets. It can better serve user needs and drive product transactions through personalized user services, thereby better serving the interests of both users and merchants, achieving a win-win result in both economic and social value. The customized / user-oriented e-commerce system represents a significant improvement over product-oriented e-commerce systems.

[0044] The data processing method described in this application can thoughtfully allocate local product resources to users. Determining local resources based on the user is more direct and easier than determining local resources based on geographical area, ensuring a fair result for each user unit. Therefore, it can more effectively promote the development of Online to Offline e-commerce, integrating the advantages of online information with the effects of offline experience. Furthermore, it helps local merchants leverage their deep understanding of local users and convenient location to enhance user services. This will undoubtedly promote the healthy development of the offline physical economy, achieving a mutually reinforcing effect between e-commerce and the physical economy. Attached Figure Description

[0045] Figure 1 This is a flowchart illustrating a data processing method applied to a server according to an embodiment of this application;

[0046] Figure 2 Examples of embodiments of this application Figure 1 A flowchart of one embodiment of step S200;

[0047] Figure 3 Examples of embodiments of this application Figure 1 A flowchart of one embodiment of step S300;

[0048] Figure 4 Examples of embodiments of this application Figure 1 A flowchart of another embodiment of step S300;

[0049] Figure 5 This is a schematic diagram of the structure of one embodiment of the server described in this application;

[0050] Figure 6This is a schematic diagram of the structure of the user resource configuration table in an embodiment of this application;

[0051] Figure 7 This is a schematic diagram of the structure of the business operation geographical range information table in an embodiment of this application;

[0052] Figure 8 This application's embodiment illustrates the operational scope and user relationship.

[0053] Figure 9 A flowchart of the data processing method applied to the client in the embodiments of the application;

[0054] Figure 10 A structural block diagram of the electronic device in the embodiment. Detailed Implementation

[0055] Various embodiments and features of this application are described herein with reference to the accompanying drawings.

[0056] It should be understood that various modifications can be made to the embodiments described herein. Therefore, the above description should not be considered as limiting, but merely as an example of embodiments. Other modifications within the scope and spirit of this application will be apparent to those skilled in the art.

[0057] The accompanying drawings, which are included in and form part of this specification, illustrate embodiments of the present application and, together with the general description of the present application given above and the detailed description of the embodiments given below, serve to explain the principles of the present application.

[0058] These and other features of this application will become apparent from the following description of preferred forms of embodiments given as non-limiting examples, with reference to the accompanying drawings.

[0059] It should also be understood that although this application has been described with reference to some specific examples, those skilled in the art can certainly implement many other equivalent forms of this application.

[0060] The above and other aspects, features and advantages of this application will become more apparent when taken in conjunction with the accompanying drawings and in view of the following detailed description.

[0061] Specific embodiments of this application are described thereafter with reference to the accompanying drawings; however, it should be understood that the claimed embodiments are merely examples of this application, which can be implemented in various ways. Well-known and / or repeated functions and structures are not described in detail to avoid unnecessary or redundant details that could obscure the application. Therefore, the specific structural and functional details claimed herein are not intended to be limiting, but merely serve as the basis and representative basis for the claims to teach those skilled in the art to use this application in a variety of substantially any suitable detailed structures.

[0062] This specification may use the phrases “in one embodiment,” “in another embodiment,” “in yet another embodiment,” or “in other embodiments,” all of which may refer to one or more of the same or different embodiments according to this application.

[0063] This application provides an embodiment of an e-commerce data processing method. This method can be applied to a server on which an e-commerce system is installed, such as... Figure 1 As shown, the method includes the following steps:

[0064] S100, obtain first customer information and response information in response to the prompt information, wherein the response information has a target orientation of commodity consumption demand.

[0065] For example, the first customer information may include basic user characteristics. Basic user characteristics may include basic user information that the e-commerce system uses to identify the user. For example, user information saved when a user registers with the e-commerce system, such as gender, age, shipping address, and user type. The first customer information can be obtained by retrieving the stored first customer information based on the account information associated with the user when logging into the e-commerce system. User types include individual user units and group user units. Group user units are groups of organizations with a unified user account, including but not limited to families with a unified user account. The goods involved include tangible products and intangible services. Furthermore, on the one hand, the first customer information may only include basic user characteristics; on the other hand, it may also include other information, such as additional user characteristics. Additional user characteristics may include specific user information that characterizes a user's consumption needs. For example: personality (e.g., open, conservative), specific life stage (e.g., student, married, pregnant, retired, various professions), spending intention (e.g., frugal, practical, luxurious), and interests (e.g., sports, art, food, travel, technology). Methods for obtaining additional user characteristics include, under the premise of ensuring reasonable and legal application, the system may choose to include some or all of the user's additional characteristics in the information collection scope during the user registration stage and / or when needed thereafter. For example, requiring users to provide information according to a user characteristic collection form, or, under legal and authorized conditions, obtaining the user's actual identity and then retrieving and analyzing the user's relevant characteristics through an authorized third-party database. Other methods are not elaborated here.

[0066] On the one hand, the first customer information may only include basic user characteristics; on the other hand, it may also include other information, such as user consumption behavior information. User consumption behavior information may include user information that reflects the user's existing consumption needs. For example, it may include: products involved in the user's past and current consumption behaviors, such as those they have followed, favorited, or ordered. For instance, by extracting the relevant product categories, a basic range of consumption needs can be established for the user, enabling the system to identify at least one highly relevant target product category template from multiple preset product category templates. Furthermore, user consumption behavior information can be combined with other first customer information and / or response information to prompts to form comprehensive customer information, thereby more comprehensively reflecting user consumption needs and enabling the system to more accurately identify at least one relevant target product category template from multiple preset product category templates. The user consumption behavior information includes user consumption behavior information from a single system as well as user consumption behavior information shared across systems.

[0067] Prompt messages can be information generated by electronic devices such as servers that have the e-commerce system installed, and displayed on the client side during the user's use of the e-commerce system. For example, prompt messages can be displayed in the form of dialog boxes with multiple options, allowing the user to make a selection.

[0068] This prompt can be used to guide users to select a target product category template. In one embodiment, content units in the prompt can be constructed based on multiple preset target product category templates, such as a first target product category template corresponding to a first option unit, a second target product category template corresponding to a second option unit, a third target product category template corresponding to a third option unit, and so on. When displaying the prompt, all these content units are displayed to prompt the user to make a selection. The prompt can be directly targeted at the product category template to obtain a definite range of user product consumption needs; the prompt can also be indirectly provided through selection questions to guide users to express their ideal product consumption needs. For example, a user's level of attention to their own image can reflect their demand level for related categories of goods and services such as clothing, footwear, and cosmetics; a user's level of attention to their own health can reflect their demand level for sports and health category goods and services; whether a user has children and the age of their children can determine their demand for related growth support category products and services, and so on.

[0069] The user responds to the prompt information, forming a response message. This response message can indicate a target consumer need, reflecting the range of goods the user may be interested in or intends to purchase. Continuing with the above embodiments, the prompt information may include a first option unit, a second option unit, a third option unit, etc. The user selects from these option units, thus forming a response message. Servers and other electronic devices can acquire the user's response information.

[0070] S200, at least one target product category template is determined from a plurality of preset product category templates, based at least on the first customer information and / or the response information.

[0071] For example, a product category template is a template used to manage and control product categories and attributes, systematically setting up product resource configurations and presenting user conditions in the user market. It is also a system tool used to analyze user consumption needs and establish connections between users and products. It can provide users with product resource retrieval and guidance services under specific user conditions.

[0072] In one embodiment, product category templates can be constructed based on product consumption demand scenarios. For example, they can be based on one or more basic user characteristics and / or additional user characteristics to set themed product consumption demand scenarios for a user group. Based on a prototype product category table, a series of product category templates with different product consumption demand scenarios can be formed by selecting and modifying various categories and defining corresponding limitations on the attributes of each selected category. The prototype product category table is a product category system that presents all products to the user, allowing the user to customize the configuration and presentation of product resources by controlling product categories and attributes. Product category templates are derived from the prototype product category table, and all product category templates are subsets of the prototype product category table. Suitable product attributes for limitation may include: brand, material, specifications, price level, etc. For example, a themed product consumption demand scenario could be created by combining the gender characteristics of men, the age characteristics of the elderly, and the spending intention characteristics of thriftiness to form a "thrifty uncle" product category template. This themed product consumption demand scenario could be set as: product categories that meet the basic needs of elderly men for clothing, food, housing, and transportation, as well as mid-to-low-priced men's products within the same category. Based on this demand scenario, the prototype product category table can be revised to obtain the "thrifty uncle" product category template. Similarly, other product category templates can be created, such as: family-oriented man, luxury woman, young student, radiant senior, nurturing mother, career man, young lady, intellectual woman, tech enthusiast, local convenience, overseas selection, home services, etc. For some demand scenarios with templates applicable across user characteristics, separate category table templates can be created for different genders and age groups. For example, the overseas selection category can be further divided into templates suitable for young men, middle-aged women, etc. Such a highly targeted product category list also provides a clear direction for identifying user consumption behavior types and supporting merchants in implementing differentiated marketing strategies.

[0073] In some practical applications, the system can also support users to personalize the product category template to obtain an optimized product category table that perfectly matches their individual consumption needs. The product category table is a list of product categories adopted by users that effectively reflects their product consumption needs. It serves as a permanent element in user resource allocation, providing product resource retrieval and guidance services, and is an application form of the target product category template. Revising the product category table includes adding and / or deleting categories, and making personalized limitations on the attributes of each category.

[0074] When displaying category table templates to users, you can group and select category table templates based on user characteristics such as gender and age, essentially presenting multiple category table templates that match user characteristics together. If the number of product category templates becomes large, you can also use hierarchical category management and display them to users.

[0075] In this embodiment, at least one target product category template can be determined from a plurality of preset product category templates, based at least on first customer information and / or response information. This includes automatically determining the target product category template based on the first customer information without requiring user interaction; it also includes a server equipped with an e-commerce system determining at least one target product category template corresponding to the response information from a plurality of product category templates based on the response information; and it includes the server comprehensively considering the first customer information and the response information to accurately determine the target product category template for the user based on both.

[0076] S300, at least based on the target product category template, determine the intended product information corresponding to the first customer information, wherein the intended product information includes information about the product indicated by the target.

[0077] For example, based on a defined target product category template, the desired product information that a user needs or is willing to consume can be identified. For instance, based on the target product category template, information on all products within any category that meets specific attribute limitations can be retrieved. Therefore, based on the target product category template, all desired product information corresponding to the first customer information in the corresponding demand scenario can be determined. Thus, after the target product category template is adopted by the user, a corresponding desired product category table can be obtained. The desired product category table represents the user's product consumption needs, and the product categories within it are associated with the user. In other words, a desired product category table can indicate all desired products corresponding to the first customer information in the corresponding demand scenario. The resulting desired product information can be displayed to the corresponding user, allowing the user to select and purchase the desired products from the product information suitable for them.

[0078] The method for determining the list of intended product categories can be flexibly based on initial customer information and / or the interaction between the system and the user. For example: automatically determining a target product category template based on initial customer information and directly recommending it to the user as part of their intended product category list, without user participation in the determination process; accurately determining a target product category template for the user based on a comprehensive consideration of initial customer information and response information, and recommending it to the user as part of their intended product category list; supporting users to independently select product category templates as part of their intended product category list; and so on.

[0079] The following detailed explanation of the method for determining the intended product category table, using specific embodiments, illustrates this approach. In one embodiment, establishing the intended product category table can be achieved through a set of product category templates. For example, an e-commerce system (hereinafter referred to as "the system") pre-sets a set of product category templates and actively or passively displays them to users. When the system receives a selection instruction from the client, it further sets the selected set of product category templates as the user's intended product category table. Pre-set product category templates can also be based on product consumption demand scenarios. Based on one or more primary customer information, including basic user characteristics and additional user characteristics, a themed product consumption demand scenario is set for a specific user group. The system can pre-set multiple product category table combination templates containing one or more different product category templates, and the system can support user selection to more conveniently and modularly establish the intended product category table. The category tables can be selected from existing product category templates or specifically customized for a given themed product consumption demand scenario. Examples of pre-set product category table combination templates include: mass-market moderate type, superior style type, celebrity luxury type, etc. The "Mass Market Moderate" model is positioned for practical, mass-market users. For example, it can include three different product category tables: the main category table focuses on high-frequency, daily necessities like rice, oil, salt, soy sauce, vinegar, and tea; the second table focuses on services that facilitate daily life; and the third table focuses on products that enhance quality of life. The system allows users to personalize selected category table templates, including adding, removing, and revising categories to obtain a complete set of desired product category tables perfectly tailored to individual user needs.

[0080] In another embodiment, establishing a list of intended product categories can also be quickly implemented through a system-recommended product category template scheme. That is, the system obtains the first customer information, and based on this information, further determines at least one target product category template from a set of preset product category templates. Then, based on the target product category template, the user's list of intended product categories is determined. As a basic system application or as an initial system setting, the system can select at least one product category template and / or a combination of product category templates as needed, and set them in the user resource configuration table as the intended product category list recommended to the user, such as... Figure 6As shown. The timing of recommendations can be flexibly set at any suitable time before or after the user's first use, and the recommendation process can include interactive steps such as user confirmation and re-selection as needed. By directly recommending suitable product categories to users, the user-oriented e-commerce system can be more easily applied. One application scenario for initial setup is as follows: the system can define several pre-set product category templates based on the first customer information, including gender, age, user type, etc., which can be obtained directly or indirectly through user registration information. After user registration, the system can select several basic product category templates based on the first customer information and pre-set them in the user resource configuration table as the user's initial intended product category table, allowing the user to gain an initial consumption experience with user-oriented e-commerce. For example, for an individual user whose registration information indicates they are a middle-aged woman, the system can select product category templates closely related to the consumption needs of middle-aged women, such as: luxury women, local convenience, home services, etc., and pre-set them in the user resource configuration table as the user's initial intended product category table. Under the premise of ensuring reasonable and legal application, the system can also choose to include some or all of the user's additional characteristics in the information collection scope during the user registration stage, thereby expanding the types of product category templates that can be selected for use. Further methods for obtaining user characteristics include requiring users to provide feedback based on a user characteristic collection form, or, under legal and authorized conditions, obtaining the user's actual identity and then retrieving and analyzing relevant user characteristics through an authorized third-party database. Other methods are not detailed here. During user operation, the system can also support users in further managing the recommended and pre-set intended product category tables, including operations such as revision, replacement, addition, deletion, etc. These operations are not detailed here.

[0081] The user resource configuration table is a control document for managing user resource configuration elements. The intended product category table is a key user resource configuration element. A single user resource configuration table can contain one or more intended product category tables to support users in obtaining various combinations of different types of product resources. For example, product resources with different consumption needs or frequencies can be categorized into different category tables. When a configuration table contains multiple category tables, the user can designate one of them as the primary category table. When the user creates a user marketplace and calls this configuration table, the primary category table can be used first to configure product resources. Within the same configuration table, users can switch between different category tables to present different types of product resource combinations in the user marketplace. When a user needs to set multiple delivery addresses, and the user's consumption needs and surrounding product resources differ at each delivery address, a separate user resource configuration table can be created for each delivery address. Each user resource configuration table can contain different intended product category tables. The user can designate one of these user resource configuration tables as the primary configuration table, such as the one corresponding to the user's permanent address or a frequently used configuration table. The main configuration table can be called first when creating a user marketplace. Different configuration tables can be switched between each other, and the intended product category tables can also be copied between them.

[0082] In another embodiment, the creation of the intended product category table can also be implemented by combining self-selection and system-recommended pre-set templates. The timing and process of self-selection and system recommendation can be flexibly set according to the needs of the system application. System recommendation can be set after user registration and before first use, by setting the selected pre-set template in the user resource configuration table as the user's initial intended product category table, such as... Figure 6 As shown, this guides users to begin their consumption experience and further independently select product categories. System recommendations can also be made during the user's application of the system. For example, once a newly designed template is deployed, or after user characteristics change, the system can recommend suitable templates to relevant users to supplement and improve the user's independently selected product category combinations. Independent selection can be made according to the user's wishes during the application of the system, including independently selecting preset templates to create, replace, or add desired product category lists in the user resource configuration table. Therefore, by combining independent selection and system recommendations, users can timely and comprehensively grasp product resources highly relevant to their consumption needs.

[0083] The data processing method in this application embodiment can configure the user's desired product information according to the user's needs, simplify unnecessary product display, and facilitate the user to accurately and quickly select desired products based on the desired product information, thus significantly improving the user's consumption experience.

[0084] In one embodiment of this application, the step of determining at least one target product category template from a plurality of preset product category templates is based at least on the first customer information and / or the response information, such as... Figure 2 As shown, it includes the following steps:

[0085] S210, retrieve the second template library and the first template library corresponding to the first customer information, wherein the first template library includes basic product category information and the second template library includes multiple product category templates;

[0086] For example, the server stores basic product category information in a first template library corresponding to the first customer information, which can be represented by a basic product category table. The server can also select multiple product category templates applicable to the current customer based on the first customer information and store them in a second template library. When in use, one or more product category templates can be called from the second template library according to needs.

[0087] In one embodiment, a user logging into an e-commerce system on a server can retrieve basic product category information from a first template library, generate basic product information, and then display the products indicated in the basic product information. This provides basic product resource retrieval and guidance services for both registered and unregistered users.

[0088] S220, based on the first customer information and / or the response information, determine at least one pre-used product category template from the second template library;

[0089] For example, the server may recommend at least one pre-used product category template to the user from the second template library based on the first customer information and / or the response information. Alternatively, it may select at least one pre-used product category template from the second template library based on the response information.

[0090] S230, based on the basic product category information and / or the pre-used product category template, form at least one target product category template.

[0091] For example, users can try out the pre-use product category template to gain a product consumption experience in a specific consumption scenario. Once a user decides to use the pre-use product category template, it becomes the target product category table and can be stored by the server in the first template library as a permanent intended product category table, providing users with product resource retrieval and guidance services in specific consumption scenarios. Alternatively, users can retain the basic product category information / table as a reference for the overall product resource situation, or they can choose not to retain the basic product category information / table and only retain the intended product category table.

[0092] For example, as a basic system application or as initial system settings, the system pre-configures basic product category information. This information can appear in the form of a basic product category table, allowing users to gain a general understanding and initial consumer experience of the product resources operated by the e-commerce system before configuring and managing market product resources themselves. The basic product category table can support the presentation of the overall structure of product resources on the client side and help users determine the full range of product resource selections, enabling users to fully understand the product resources. Users can further select pre-configured product category templates and / or product category table combination templates to create new intended product category tables as a supplement to the basic product category table, so as to more specifically reflect the user's product consumption needs, that is, to independently configure product resources highly related to their own consumption needs. Users can also delete the basic product category table after selecting at least one pre-configured product category template.

[0093] In one embodiment of this application, determining at least one target product category template from a plurality of preset product category templates based at least on the first customer information and / or the response information includes:

[0094] Retrieve the second template library, wherein the second template library includes multiple product category templates;

[0095] Based on the first customer information, at least one pre-use product category template is determined from the second template library; or, based on a preset selection mode, at least one pre-use product category template is determined from the second template library.

[0096] The pre-used product category template is determined as the target product category template.

[0097] For example, the server can select multiple product category templates applicable to the current customer based on the first customer information and store them in a second template library. When needed, one or more product category templates can be retrieved from the second template library. The server can determine at least one pre-used product category template from the second template library based solely on the first customer information, and then determine the pre-used product category template as the target product category template. That is, the server selects from the second template library and determines the pre-used product category template based solely on the obtained first customer information, without needing to further parse the response information to determine the target product category template. Users can then make purchases based on the pre-used product category template to obtain a product consumption experience in a specific consumption scenario. Users can further select the pre-used product category template as the target product category template based on their experience. This includes using the target product category template as a permanent intention product category table, conveniently providing users with product resource retrieval and guidance services in specific consumption scenarios.

[0098] For example, instead of analyzing the first customer information and / or response information, at least one pre-used product category template can be determined from a second template library based on a preset selection mode; then, a target product category template can be determined based on the pre-used product category template. This preset selection mode can be a mode pre-set by the server, which can support the user in determining the corresponding target product category template based on this preset selection mode. For example, the user can select any product category template from the second template library as a pre-used product category template, and can directly implement the product consumption experience, or directly or after the product consumption experience, determine the pre-used product category template as the target product category template. This includes using the target product category template as a permanent intention product category table, conveniently providing users with product resource retrieval and guidance services in specific consumption scenarios.

[0099] Of course, the preset selection mode can be adjusted according to the actual usage scenario, thereby meeting the needs of different users in various usage scenarios.

[0100] In one embodiment of this application, the method further includes the following steps:

[0101] Obtain active input information pointing to the target;

[0102] Based on the active input information and the response information, second customer information is generated;

[0103] Accordingly, determining at least one target product category template from a plurality of preset product category templates based at least on the first customer information and / or the response information includes:

[0104] Based on the first customer information and / or the second customer information, at least one target product category template is determined from a plurality of preset product category templates.

[0105] For example, a user can proactively input targeted information on the client side, which may request the e-commerce system on the server to modify the target product category template associated with them. For instance, a user's target product category template during their youth might be the first product category template. As they age and enter middle age, their basic and additional characteristics may change. The user can proactively input information into the e-commerce system, requesting an adjustment to their associated target product category template, thereby adjusting the associated intended product information. Based on the proactive input and response information, the server generates second customer information. Then, based on the first and / or second customer information, the server determines at least one target product category template from a set of preset product category templates. That is, the server can generate a new target product category template based on the user's basic information and / or their current desire to modify the target product category template.

[0106] For example, in one embodiment, a user requests further refinement of multiple existing target product category templates by inputting this active input information. The server then generates second customer information based on this active input information and the obtained response information. The server can then recommend multiple target product category templates suitable for the user based on the second customer information, thereby refining the corresponding intended product information. In another embodiment, the user may also request to reselect a product category template and / or other additional request information. The server can then regenerate prompt information and request a new response from the customer to regenerate response information. The server then generates second customer information based on the obtained active input information and response information. Furthermore, based on the first customer information and / or the second customer information, the server determines at least one target product category template from a set of preset product category templates.

[0107] In one embodiment of this application, the product category template corresponds to products with attribute information and / or operating scope; the step of determining the intended product information corresponding to the first customer information based at least on the target product category template includes:

[0108] Based on the target product category template, as well as the product's attribute information and / or operating scope, the intended product information is determined.

[0109] For example, the products corresponding to the product category template have attribute information and / or operating scope. Attribute information may include at least one of the following: name, brand, material, specifications, price level, target audience, sales volume, and user rating. The operating geographical scope of a product is a special product attribute. The operating scope attribute is the target market geographical range set by the merchant for the products they sell; it indicates the geographical range within which the merchant can deliver goods and effectively fulfill services as agreed. The operating scope can be represented by administrative region names or circular areas. Combined with... Figure 7 and Figure 8 The operating scope can be an administrative region, such as the entire country, one or more provinces, or it can be defined as multiple related lower-level administrative regions under each province, or multiple related lower-level administrative regions under each level of administrative region. All users corresponding to the delivery addresses covered by the operating scope are potential users of the corresponding merchants. In this embodiment, the intended product information can be determined based on the target product category template, the product's attribute information, and / or the operating scope. This ensures that the generated intended product information meets both the user's needs and the merchant's operating scope.

[0110] The scope of operation is described below with reference to specific embodiments. In one specific embodiment, combined with... Figure 7 and Figure 8 One way to express the scope of operations is through a geographical information table. Besides using administrative regions, the scope can also be represented by a circular area centered on the merchant's operating address. In this case, the geographical information table can include the merchant's operating address information. Combined with the business operation coverage radius entered by the merchant in the table, the circular area can be determined. Users whose delivery addresses are covered by the circular area defined by the merchant's operating address and business operation coverage radius are all potential users of that merchant. This circular area is particularly suitable for small and micro-sized local merchants to define their business operation scope. It is important to note that only if the merchant's products also fall within the potential users' category selection and attribute limitations can those products be included in the potential users' product resource range.

[0111] Once a merchant has determined their operating scope, this scope becomes the default geographical area for all their products. Merchants can also set additional operating scopes for one or more product categories, or for one or more specific products. For example, a merchant whose primary operating scope is City A can also individually set City B as the operating scope for products that are profitable in City B. In this way, a single product category or item may have more than one operating scope.

[0112] Merchants can also define target user groups for one or more categories of goods, or for one or more products. Target user groups can be characterized based on the consumption demand scenarios of the themed products and / or the basic and / or additional characteristics of users who define these consumption demand scenarios. For example, for infant and toddler products, the target user group can be defined by the consumption demand scenarios of "nurturing mothers" themed products.

[0113] If a merchant has multiple operating addresses, they can also set up an equal number of business operation geographic range information tables, each associated with the goods sold at the corresponding address.

[0114] In one embodiment of this application, the scope of operation can be set by the merchant. The scope of operation can also be regulated through platform authorization. For example, through a qualification review process, based on certain merchant qualification standards, the merchant is authorized to operate their goods and services within a specific scope. For instance, if Merchant A has the qualification of a first-tier distributor of Brand B and is capable of delivering goods and effectively fulfilling services to users nationwide as agreed, then Merchant A's Brand B operation scope can be granted nationwide.

[0115] In one embodiment of this application, the system can also collect and provide feedback on the potential customer statistics and potential competitor statistics of each category in the corresponding geographical area, based on the merchant's operating scope and the categories of goods sold by the merchant, to help the merchant flexibly formulate market strategies, including expanding the operating scope to obtain an ideal number of potential customers, and also changing the operating scope to avoid overly fierce market competition.

[0116] In one embodiment of this application, the intended product information is determined based on the target product category template, the product's attribute information, and / or operating scope, such as... Figure 3 As shown, it includes:

[0117] S310, Based on the operating scope and the first customer information, filter the products indicated in the target product category template;

[0118] S320, Based on the filtered products, determine the intended product information.

[0119] For example, a product category template essentially manages and controls product categories and attributes, systematically setting the user conditions for product resource allocation and presentation in the user market. Determining the product category template defines the specific scope of product resources; categories and attribute conditions play a limiting role at different levels. When the target product category template is invoked, the corresponding product resources are substantially clarified. That is, all product resources within the consumption scenario defined by the user characteristics are determined, and the system will present users with products within the operational scope. The user's consumption process will not be disturbed by products outside the operational scope.

[0120] In one embodiment of this application, the intended product information is determined based on the target product category template, the product's attribute information, and / or operating scope, such as... Figure 4 As shown, it includes:

[0121] S330, obtain user settings information that restricts products and / or merchants;

[0122] S340, Based on the user settings information, the attribute information of the product is labeled;

[0123] S350, Based on the labeled attribute information of the goods, filter the goods indicated by the target goods category template;

[0124] S360, based on the filtered products, determine the intended product information.

[0125] For example, in real-world e-commerce system scenarios, users may have their own opinions or preferences regarding certain products and / or merchants. For instance, a user might strongly like or strongly dislike a particular product or merchant. It's also possible that some products and / or merchants are considered taboo by the user. To cater to user preferences, user settings regarding product and / or merchant preferences can be obtained. Based on these settings, product attribute information can be labeled. Specific labeling methods can include writing identifiers to attribute information or adding new content to the attribute information. The server then filters products indicated in the target product category template based on the labeled product attribute information. This results in the filtered product category template, along with the identified intended product information, better meeting user needs.

[0126] In one embodiment of this application, the method further includes:

[0127] Obtain modification information that modifies the response information;

[0128] Based at least on the modified information, at least one target product category template is re-determined from the plurality of product category templates, so as to update the target product category template;

[0129] The updated target product template is associated with the first customer information.

[0130] For example, a user's product consumption needs are not static; previous response information can be modified. The user can send modification information to the server, and the server receives this information, re-determines at least one target product category template from multiple product category templates, and updates the target product category template. The updated target product category template adapts to the user's current needs. For instance, by modifying the information, the user changes the associated target product category template from "youthful student" to "successful man," satisfying the user's evolving needs. Furthermore, the server can associate the updated target product template with the first customer information, allowing the user to obtain the intended product information corresponding to the updated target product template within a specific time period without needing to modify the response information again. For example, after updating the target product category template, when the user logs into the e-commerce system again, they can obtain the products corresponding to the updated intended product information without needing to modify the response information again.

[0131] Based on the same inventive concept, this application also provides an e-commerce data processing method, applied to a client-side connection between the client and a server, such as... Figure 9 As shown, it includes:

[0132] S10, Obtain prompt information representing the demand for goods consumption, wherein the prompt information includes prompts indicating the target direction of the demand for goods consumption;

[0133] S20, respond to the prompt information and generate corresponding response information, so that the server determines at least one target product category template from a plurality of preset product category templates based at least on the response information and / or the first customer information, wherein the first customer information corresponds to the client;

[0134] S30, display the intended product information corresponding to the first customer information, wherein the intended product information includes information about the product indicated by the target, and the intended product information is determined at least based on the target product category template.

[0135] For example, the first customer information may include basic user characteristics. Basic user characteristics may include basic user information that the e-commerce system uses to identify the user. For example, user information saved when a user registers with the e-commerce system, such as gender, age, shipping address, and user type. The first customer information can be obtained by retrieving the stored first customer information based on the account information associated with the user when logging into the e-commerce system. User types include individual user units and group user units. Group user units are groups of organizations with a unified user account, including but not limited to families with a unified user account. The goods involved include tangible products and intangible services. Furthermore, on the one hand, the first customer information may only include basic user characteristics; on the other hand, it may also include other information, such as additional user characteristics. Additional user characteristics may include specific user information that can characterize a user's consumption needs. For example: personality (e.g., open, conservative), specific life stage (e.g., student, married, pregnant, retired, various professions), spending intention (e.g., frugal, practical, luxurious), and hobbies (e.g., sports, art, food, travel, technology). Methods for obtaining additional user characteristics include, under the premise of ensuring reasonable and legal application, the system may choose to include some or all of the user's additional characteristics in the information collection scope during the user registration stage and / or when needed thereafter. For example, requiring users to provide information according to a user characteristic collection form, or, under legal and authorized conditions, obtaining the user's actual identity and then retrieving and analyzing the user's relevant characteristics through an authorized third-party database. Other methods are not elaborated here.

[0136] On the one hand, the first customer information may only include basic user characteristics; on the other hand, it may also include other information, such as user consumption behavior information. User consumption behavior information may include user information that reflects the user's existing consumption needs. For example, it may include: products involved in the user's past and current consumption behaviors, such as those they have followed, favorited, or ordered. For instance, by extracting the relevant product categories, a basic range of consumption needs can be established for the user, enabling the system to identify at least one highly relevant target product category template from multiple preset product category templates. Furthermore, user consumption behavior information can be combined with other first customer information and / or response information to prompts to form comprehensive customer information, thereby more comprehensively reflecting user consumption needs and enabling the system to more accurately identify at least one relevant target product category template from multiple preset product category templates. The user consumption behavior information includes user consumption behavior information from a single system as well as user consumption behavior information shared across systems.

[0137] The prompt message can be generated by electronic devices such as servers that have the e-commerce system installed, during the user's use of the e-commerce system. The client receives the prompt message and displays it. For example, the prompt message can be displayed in the form of a dialog box with multiple options, allowing the user to make a selection.

[0138] This prompt message can be used to guide the user to select a target product category template. In one embodiment, content units in the prompt message can be constructed based on multiple preset target product category templates, such as a first target product category template corresponding to a first option unit, a second target product category template corresponding to a second option unit, a third target product category template corresponding to a third option unit, and so on. When displaying this prompt message, both the first and second content units are displayed to prompt the user to make a selection.

[0139] The user responds to the prompt message, and the client generates a response message based on the response. The response message can indicate a specific consumer need. It can reflect the product or product category that the user may want to buy or is interested in; for example, the user may need to buy men's clothing or business supplies; the user may also be interested in women's clothing, food, etc. Continuing with the above embodiments, the prompt message may include a first option unit, a second option unit, a third option unit, etc. The user selects from the option units in the prompt message, thereby generating a response message. Servers and other electronic devices can obtain the user's response message.

[0140] For example, a product category template is a template built for users with different characteristics, and the product categories in the adopted product category template are associated with that user. Different types of users may use different product category templates.

[0141] In one embodiment, a product category template can be constructed based on product consumption demand scenarios. For example, it can be based on one or more user characteristics to set themed product consumption demand scenarios for specific user groups. Then, based on a prototype product category table, product category templates with different product consumption demand scenarios are formed by selecting and discarding categories and imposing corresponding limitations on the attributes of each selected category. Specifically, the product categories and attributes in the prototype product category table can be revised and adjusted based on one or more factors, including basic user characteristics, additional user characteristics, and themed product consumption demand scenarios, to form the product category template.

[0142] For example, based on a defined target product category template, the user's desired or intended product information can be determined. For instance, based on each product indicated in the target product category template, relevant information for the indicated products is obtained to form intended product information. The client then displays the intended product information corresponding to the initial customer information.

[0143] Intended product information includes information about the products that the consumer's desired goods or services are indicated. This may include information on various types of goods, as well as information on different brands and models of the same type of goods. This intended product information can be displayed to relevant users, allowing them to choose and purchase the goods that best suit their needs.

[0144] Based on the same inventive concept, embodiments of this application also provide an electronic device, such as... Figure 5 and Figure 10 As shown, it includes a processor and a memory, wherein the memory stores an executable program, and the processor processes the executable program to perform the following steps:

[0145] Obtain first customer information and response information in response to prompt information, wherein the response information has a target orientation of product consumption demand;

[0146] Based at least on the first customer information and / or the response information, at least one target product category template is determined from a plurality of preset product category templates;

[0147] Based at least on the target product category template, intended product information corresponding to the first customer information is determined, wherein the intended product information includes information about the product indicated by the target.

[0148] The electronic device in this application embodiment can be a server, and the server may include multiple devices as shown in the appendix. Figure 5 The virtual modules shown cooperate with each other to implement the steps implemented by the server in this embodiment.

[0149] In one embodiment of this application, the processor processes the executable program to perform the following steps:

[0150] The second template library and the first template library corresponding to the first customer information are retrieved, wherein the first template library includes basic product category information and the second template library includes multiple product category templates;

[0151] Based on the first customer information and / or the response information, at least one pre-use product category template is determined from the second template library;

[0152] Based on the basic product category information and / or the pre-used product category template, at least one target product category template is formed.

[0153] In one embodiment of this application, the processor processes the executable program to perform the following steps:

[0154] Retrieve the second template library, wherein the second template library includes multiple product category templates;

[0155] Based on the first customer information, at least one pre-use product category template is determined from the second template library; or, based on a preset selection mode, at least one pre-use product category template is determined from the second template library.

[0156] The pre-used product category template is determined as the target product category template.

[0157] In one embodiment of this application, the processor processes the executable program to perform the following steps:

[0158] Obtain active input information pointing to the target;

[0159] Based on the active input information and the response information, second customer information is generated;

[0160] Accordingly, determining at least one target product category template from a plurality of preset product category templates based at least on the first customer information and / or the response information includes:

[0161] Based on the first customer information and / or the second customer information, at least one target product category template is determined from a plurality of preset product category templates.

[0162] In one embodiment of this application, the product category template corresponds to a product with attribute information and / or operating scope, and the processor processes the executable program to perform the following steps:

[0163] Based on the target product category template, as well as the product's attribute information and / or operating scope, the intended product information is determined.

[0164] In one embodiment of this application, the processor processes the executable program to perform the following steps:

[0165] Based on the operational scope and the first customer information, the products indicated by the target product category template are filtered;

[0166] Based on the filtered products, the intended product information is determined.

[0167] In one embodiment of this application, the processor processes the executable program to perform the following steps:

[0168] Obtain user settings information that are restricted to specific products and / or merchants;

[0169] Based on the user settings information, the attribute information of the product is labeled;

[0170] Based on the labeled attribute information of the products, the products indicated in the target product category template are filtered;

[0171] Based on the filtered products, the intended product information is determined.

[0172] In one embodiment of this application, the processor processes the executable program to perform the following steps:

[0173] Obtain modification information that modifies the response information;

[0174] Based at least on the modified information, at least one target product category template is re-determined from the plurality of product category templates, so as to update the target product category template;

[0175] The updated target product template is associated with the first customer information.

[0176] The above embodiments are merely exemplary embodiments of this application and are not intended to limit this application. The scope of protection of this application is defined by the claims. Those skilled in the art can make various modifications or equivalent substitutions to this application within its substance and scope of protection, and such modifications or equivalent substitutions should also be considered to fall within the scope of protection of this application.

Claims

1. A data processing method for e-commerce, characterized in that, Applied to servers, including: Obtain first customer information and response information in response to prompt information, wherein the response information has a target orientation of product consumption demand; Based at least on the first customer information and / or the response information, at least one target product category template is determined from a plurality of preset product category templates; wherein, the plurality of product category templates are pre-constructed based on product consumption demand scenarios, and each product category template is a subset formed by selecting and limiting product attributes from the prototype product category table; The target product category template is stored as the intended product category table corresponding to the first customer information; the intended product category table is a product category table adopted by the user, which can reflect the user's product consumption needs and serve as a permanent element of user resource allocation to provide product resource retrieval and indication services; Based at least on the target product category template, determine the intended product information corresponding to the first customer information, wherein the intended product information includes information about the product indicated by the target; The step of determining at least one target product category template from a plurality of preset product category templates, based at least on the first customer information and / or the response information, includes: The second template library and the first template library corresponding to the first customer information are retrieved, wherein the first template library includes basic product category information and the second template library includes multiple product category templates; Based on the first customer information and / or the response information, at least one pre-use product category template is determined from the second template library; Based on the basic product category information and / or the pre-used product category template, at least one target product category template is formed; or, The step of determining at least one target product category template from a plurality of preset product category templates, based at least on the first customer information and / or the response information, includes: Retrieve the second template library, wherein the second template library includes multiple product category templates; Based on the first customer information, at least one pre-use product category template is determined from the second template library; or, based on a preset selection mode, at least one pre-use product category template is determined from the second template library. The pre-used product category template is determined as the target product category template.

2. The method according to claim 1, characterized in that, The method further includes: Obtain active input information pointing to the target; Based on the active input information and the response information, second customer information is generated; Accordingly, determining at least one target product category template from a plurality of preset product category templates based at least on the first customer information and / or the response information includes: Based on the first customer information and / or the second customer information, at least one target product category template is determined from a plurality of preset product category templates.

3. The method according to claim 1, characterized in that, The products corresponding to the product category template have attribute information and / or operating scope; the step of determining the intended product information corresponding to the first customer information based at least on the target product category template includes: Based on the target product category template, as well as the product's attribute information and / or operating scope, the intended product information is determined.

4. The method according to claim 3, characterized in that, The step of determining the intended product information based on the target product category template, as well as the product's attribute information and / or operating scope, includes: Based on the operational scope and the first customer information, the products indicated by the target product category template are filtered; Based on the filtered products, the intended product information is determined.

5. The method according to claim 3, characterized in that, The step of determining the intended product information based on the target product category template, as well as the product's attribute information and / or operating scope, includes: Obtain user settings information that are restricted to specific products and / or merchants; Based on the user settings information, the attribute information of the product category is labeled; Based on the attribute information of the labeled product category, the products indicated in the target product category template are filtered; Based on the filtered products, the intended product information is determined.

6. The method according to claim 1, characterized in that, The method further includes: Obtain modification information that modifies the response information; Based at least on the modified information, at least one target product category template is re-determined from the plurality of product category templates, so as to update the target product category template; Associate the updated target product category template with the first customer information.

7. A data processing method for e-commerce, characterized in that, Applied to the client side, including: Obtain prompt information representing consumer demand for goods, wherein the prompt information includes prompts indicating the target direction of consumer demand for goods; The server responds to the prompt information and generates corresponding response information, enabling it to determine at least one target product category template from a plurality of preset product category templates based at least on the response information and / or the first customer information. The target product category template is then stored as an intended product category table corresponding to the first customer information. The first customer information corresponds to the client. The plurality of product category templates are pre-constructed based on product consumption demand scenarios, and each product category template is a subset formed by selecting and limiting product attributes from the prototype product category table. The intended product category table is a product category table adopted by the user, reflecting the user's product consumption needs, and permanently providing product resource retrieval and guidance services as a user resource allocation element. Display intended product information corresponding to the first customer information, wherein the intended product information includes information about the product indicated by the target, and the intended product information is determined at least based on the target product category template; The step of determining at least one target product category template from a plurality of preset product category templates, based at least on the first customer information and / or the response information, includes: The second template library and the first template library corresponding to the first customer information are retrieved, wherein the first template library includes basic product category information and the second template library includes multiple product category templates; Based on the first customer information and / or the response information, at least one pre-use product category template is determined from the second template library; Based on the basic product category information and / or the pre-used product category template, at least one target product category template is formed; or, The step of determining at least one target product category template from a plurality of preset product category templates, based at least on the first customer information and / or the response information, includes: Retrieve the second template library, wherein the second template library includes multiple product category templates; Based on the first customer information, at least one pre-use product category template is determined from the second template library; or, based on a preset selection mode, at least one pre-use product category template is determined from the second template library. The pre-used product category template is determined as the target product category template.

8. An electronic device, characterized in that, It includes a processor and a memory, wherein the memory stores an executable program, and the processor processes the executable program to implement the e-commerce data processing method as described in any one of claims 1 to 7.

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