Product posting management method, system, device, storage medium and program product

Abstract

The application discloses a commodity publishing management method, system, device, storage medium and program product, relates to the field of logistics management, and comprises the following steps: acquiring commodity information and target platform rules; utilizing a preset classification identification model to perform semantic matching on the commodity, generating a candidate classification for a user to select and determine a target classification; identifying and filling corresponding classification attribute fields according to a platform attribute white list and the commodity information; calling a claim template display field according to platform rules; assisting the user to complete commodity claiming and generating data; and associating the commodity to a corresponding site sub-store for publishing based on the data, so that the technical problems of high artificial dependence, weak cross-platform adaptation and low multi-store management efficiency of the prior art can be effectively solved, and the overall efficiency and standardization of cross-border commodity large-scale publishing are improved.

Description

Technical Field

[0001] This application relates to the field of logistics management technology, and in particular to product listing management methods, systems, equipment, storage media and program products. Background Technology

[0002] With the widespread adoption of multi-platform and multi-site operation models in cross-border e-commerce, the number of product SKUs (Stock Keeping Units) is rapidly increasing, leading to ever-increasing demands for automation and cross-platform adaptability in bulk product listings. Existing traditional listing solutions rely heavily on manual operation, have low levels of automation, and suffer from numerous technical shortcomings.

[0003] In the process of product classification and attribute listing, it mainly relies on manual selection of categories and manual parameter filling, which is cumbersome, inefficient, and prone to problems such as mismatch of categories and missing attributes. This can easily lead to abnormal product display and damage to search ranking. At the same time, it cannot adapt to the listing requirements of automatic classification and matching across multiple languages ​​and platforms.

[0004] In the product claiming and listing scenario, the field specifications of various e-commerce platforms are different. Existing systems lack reusable cross-platform claiming templates and differentiated configuration capabilities, and most of them use rigid mandatory field validation, which has poor adaptability and flexibility, and is prone to causing the listing process to be interrupted.

[0005] In terms of global multi-store listing management, traditional systems have independent data for each site's stores, making it impossible to achieve unified listing, automatic field synchronization, and inventory sharing. This results in a large amount of repetitive maintenance work, difficulty in ensuring the consistency of product data across multiple stores, and low efficiency in global listing.

[0006] In summary, existing listing technologies suffer from high reliance on manual labor, insufficient intelligence, and weak cross-platform adaptability, making it difficult to meet the demands of large-scale, efficient cross-border listings with a massive number of SKUs. Therefore, a new platform listing management method is urgently needed to address these technical issues and improve the efficiency and standardization of cross-border product listings.

[0007] The above content is only used to help understand the technical solution of this application and does not represent an admission that the above content is prior art. Summary of the Invention

[0008] The main purpose of this application is to provide a product listing management method, system, device and storage medium, which aims to solve the technical problems of existing cross-border product listing solutions, such as high dependence on manual labor, poor cross-platform adaptability and flexibility, low efficiency of multi-store collaborative management, and inability to achieve intelligent and large-scale batch listing.

[0009] To achieve the above objectives, this application proposes a product listing management method, which includes: Obtain product information for the products to be listed and platform rule information for the target listing platform; Using a preset classification and recognition model, the product information is semantically matched and recognized to obtain candidate categories, and the target category of the product to be published is determined from the candidate categories based on the user's selection. Based on the preset platform attribute whitelist and the product information, identify and fill in the category attribute field corresponding to the target category; Based on the platform rules information, the corresponding platform's preset claim template is invoked to display the category attribute fields, thereby completing the product claim operation and generating the corresponding product claim data; Based on the product claim data, the products to be published are associated with the corresponding site sub-stores for publication.

[0010] In one embodiment, the step of performing semantic matching and recognition on the product information using a preset classification and recognition model to obtain candidate classifications includes: Extract key information from the product information, including one or more of the product name, brand, and keywords; The key information is semantically aligned and converted into a high-dimensional semantic vector using the preset classification and recognition model. Calculate the similarity score between the high-dimensional semantic vector and each preset classification label vector in the pre-constructed platform classification system vector space; The preset category labels are sorted according to the similarity scores, and one or more category labels with the highest scores are selected as candidate categories.

[0011] In one embodiment, the step of identifying and filling the category attribute field corresponding to the target category based on a preset platform attribute whitelist and the product information includes: Multimodal feature extraction is performed on the product information to obtain text features and image text features; Based on the text features and the image text features, semantic parsing and matching are performed on the attribute fields in the preset platform attribute whitelist to generate corresponding attribute field values; The attribute field values ​​are filled into the category attribute field corresponding to the target category.

[0012] In one embodiment, the step of calling the corresponding platform's preset claim template according to the platform rule information, displaying the category attribute field to complete the product claim operation, and generating the corresponding product claim data includes: Identify the target e-commerce platform identifier based on the platform rule information; Call the preset claim template corresponding to the target e-commerce platform identifier; Load and display the category attribute fields in the preset claim template; Receive user input or confirmation for the displayed category attribute fields; Product claim data is generated based on the category attribute fields entered or confirmed by the user.

[0013] In one embodiment, the step of associating the product to be published with the corresponding site sub-store based on the product claim data includes: Receive the target site and corresponding sub-store selected by the user; The product name, product description, category, brand, specifications, image, weight, size, shipping days, and price fields in the product claim data are synchronized to the selected sub-store. Configure an inventory sharing mechanism for each sub-store, so that multiple sub-stores can share the same inventory data; Based on the synchronized product fields and inventory configuration, the products to be published are associated with the corresponding site sub-stores to complete the listing.

[0014] In one embodiment, after the step of associating the product to be published with the corresponding site sub-store based on the target category and product claim data, the following steps are included: Add the listed products from the sub-stores to the preset list of products being sold by other sellers; According to a preset time frequency, the price information of competing products of the corresponding products is obtained from the preset follow-up monitoring list; Based on the competitor's price information, determine whether there is any copycat selling. When a seller detects that their product is being copied, the selling price of the corresponding product is adjusted based on preset automatic price adjustment rules.

[0015] Furthermore, to achieve the above objectives, this application also proposes a product listing management system, which includes: The acquisition module is used to acquire product information of the product to be listed and platform rule information of the target listing platform; The classification module is used to perform semantic matching and recognition on the product information through a preset classification recognition model to obtain candidate classifications, and to determine the target classification of the product to be published from the candidate classifications based on the user's selection. The fill module is used to identify and fill the category attribute field corresponding to the target category based on a preset platform attribute whitelist and the product information; The claim module is used to call the corresponding platform's preset claim template according to the platform rule information, display the category attribute fields, complete the product claim operation, and generate the corresponding product claim data. The listing module is used to associate the products to be listed with the corresponding site sub-stores based on the product claim data.

[0016] In addition, to achieve the above objectives, this application also proposes a product listing management device, the device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the product listing management method as described above.

[0017] In addition, to achieve the above objectives, this application also proposes a storage medium, which is a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the steps of the product listing management method described above.

[0018] In addition, to achieve the above objectives, this application also provides a computer program product, which includes a computer program that, when executed by a processor, implements the steps of the product listing management method described above.

[0019] This application proposes a product listing management method, system, device, storage medium, and program product. The method includes: acquiring product information of the product to be listed and platform rule information of the target listing platform; performing semantic matching and recognition on the product information through a preset classification recognition model to obtain candidate categories, and determining the target category of the product to be listed from the candidate categories based on user selection; identifying and filling the category attribute fields corresponding to the target category based on a preset platform attribute whitelist and the product information; calling the preset claim template of the corresponding platform according to the platform rule information to display the category attribute fields to complete the product claim operation and generate corresponding product claim data; and listing the product to be listed by associating it with the corresponding site sub-store based on the product claim data. This method achieves product classification and attribute filling through a classification and recognition model, reducing reliance on manual operations, avoiding human error, and improving the intelligence and accuracy of product listing. By adapting to differentiated platform rules through the claim template, rigid field validation is eliminated, effectively improving the flexibility of cross-platform listing adaptation. Based on product claim data, unified listing and data synchronization are achieved across multiple site sub-stores, enabling collaborative management of multiple stores, reducing repetitive maintenance work, and ensuring data consistency. It effectively solves the technical problems of high reliance on manual operations, weak cross-platform adaptation, and low efficiency of multi-store management in existing solutions, improving the overall efficiency and standardization of large-scale cross-border product listing. Attached Figure Description

[0020] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0021] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0022] Figure 1 A flowchart illustrating the first embodiment of the product listing management method for this application; Figure 2 A flowchart illustrating Embodiment 2 of the product listing management method for this application; Figure 3 This is a schematic diagram of the module structure of the product listing management system according to an embodiment of this application; Figure 4 This is a schematic diagram of the device structure of the hardware operating environment involved in the product listing management method in this application embodiment.

[0023] The purpose, features, and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0024] It should be understood that the specific embodiments described herein are merely illustrative of the technical solutions of this application and are not intended to limit this application.

[0025] To better understand the technical solution of this application, a detailed description will be provided below in conjunction with the accompanying drawings and specific implementation methods.

[0026] The main solution of this application embodiment is as follows: Obtain product information of the product to be listed and platform rule information of the target listing platform; perform semantic matching and recognition on the product information using a preset classification recognition model to obtain candidate categories, and determine the target category of the product to be listed from the candidate categories based on user selection; identify and fill the category attribute fields corresponding to the target category based on a preset platform attribute whitelist and the product information; call the preset claim template of the corresponding platform according to the platform rule information to display the category attribute fields, thereby completing the product claim operation and generating corresponding product claim data; based on the product claim data, associate the product to be listed with the corresponding site sub-store for listing.

[0027] In this embodiment, for ease of description, the product listing management system will be used as the execution subject for the following description.

[0028] Existing cross-border product listing solutions suffer from high reliance on manual labor, low levels of intelligence, poor flexibility in cross-platform field adaptation, and independent data from multiple stores, making collaborative management difficult and unable to meet the operational needs of large-scale batch listing of massive products.

[0029] This application provides a product listing management method, system, device, storage medium, and program product. Through an intelligent model for automatic classification and matching, platform-differentiated template claiming, and a unified listing linkage across multiple stores, it effectively reduces manual operation costs, improves cross-platform listing adaptability, realizes multi-site store data synchronization and collaborative management, ensures listing data consistency, and significantly improves the efficiency and standardization of large-scale cross-border product listing.

[0030] It should be noted that the executing entity in this embodiment can be a computing service device with data processing, network communication, and program execution functions, such as a tablet computer, personal computer, or mobile phone, or an electronic device capable of performing the above functions. The following description uses a personal computer as an example to illustrate this embodiment and the subsequent embodiments.

[0031] Based on this, the embodiments of this application provide a product listing management method, referring to... Figure 1 , Figure 1 This is a flowchart illustrating the first embodiment of the product publication management method of this application.

[0032] In this embodiment, the product listing management method includes steps S10 to S50: Step S10: Obtain product information of the product to be published and platform rule information of the target publishing platform; It should be noted that the product information includes, but is not limited to, the product name, brand, keywords, product description, specifications, images, dimensions, weight, price, inventory, and delivery days of the listed product.

[0033] Platform rules information includes, but is not limited to, the target publishing platform's classification system rules, attribute field configuration rules, claim field display rules, field mandatory validation rules, and template adaptation rules.

[0034] In this embodiment, complete product information of the product to be published is read from the product database, and the corresponding platform rule information is retrieved according to the target publishing platform selected by the user, so as to provide basic data support for subsequent product classification and identification, attribute field filling, platform product claiming and multi-store publishing process.

[0035] Step S20: Using a preset classification recognition model, semantic matching and recognition are performed on the product information to obtain candidate categories, and the target category of the product to be published is determined from the candidate categories based on the user's selection. It should be noted that the classification and recognition model is trained in advance using historical product data from cross-border platforms and corresponding standard classification labels. The structure of the classification and recognition model includes at least an input layer, a semantic encoding layer, a feature mapping layer, and a classification output layer.

[0036] Understandably, in the current cross-border product listing scenario, the main reliance is on manual browsing and comparison of platform categories for classification and matching. This manual operation is tedious, subjective, and involves a long category search path. Furthermore, it is susceptible to classification mismatches due to differences in personnel experience. Therefore, step S20 avoids and solves the problems of time-consuming and error-prone traditional manual category search, thereby improving the efficiency of product listing. This is especially suitable for cross-border sellers with a large number of SKUs.

[0037] In one feasible embodiment, step S20 may include steps S21 to S24: Step S21: Extract key information from the product information, including one or more of the following: product name, brand, and keywords; In this embodiment, text content with classification representation capabilities is parsed and filtered from the acquired product information, invalid and redundant fields are removed, and only the product name, brand, and core keywords are retained as key input information for subsequent model recognition.

[0038] Step S22: The key information is semantically aligned and converted into a high-dimensional semantic vector using the preset classification and recognition model; In this embodiment, the key information input is segmented and semantically normalized by a preset classification and recognition model to achieve semantic alignment of multilingual texts (such as Chinese and English), and the discrete text feature mapping is converted into a high-dimensional semantic vector with a unified dimension.

[0039] Step S23: Calculate the similarity score between the high-dimensional semantic vector and each preset classification label vector in the pre-constructed platform classification system vector space; In this embodiment, all category tags of each target publishing platform are pre-mapped and constructed into a platform classification system vector space. Then, cosine similarity or Euclidean distance algorithms are used to calculate the similarity score between the high-dimensional semantic vector of the product to be published and each category tag vector.

[0040] Step S24: Sort the preset category labels according to the similarity scores, and select one or more category labels with the highest scores as candidate categories.

[0041] In this embodiment, all platform category tags are prioritized according to their similarity scores from high to low. A preset filtering threshold is set, and one or more category tags that rank highly and meet the threshold conditions are selected to generate a candidate category set for users to choose from.

[0042] Through the above steps, intelligent semantic matching of product information to the platform's classification system is achieved, eliminating the need for manual step-by-step traversal and searching of categories, significantly reducing manual operation costs, while improving the accuracy and efficiency of product classification matching, and adapting to the needs of automatic classification and listing of massive SKUs across multiple platforms and languages.

[0043] Step S30: Based on the preset platform attribute whitelist and the product information, identify and fill in the category attribute field corresponding to the target category; It should be noted that the platform attribute whitelist is a set of compliant attribute fields that are pre-configured according to the category specifications and attribute requirements of each target publishing platform. It is used to filter and limit the valid attribute fields that are allowed to be displayed and filled in under the current target category, and to filter out invalid and non-compliant attribute parameters.

[0044] The category attribute fields include, but are not limited to, platform standard attribute fields such as color, material, and target audience.

[0045] Understandably, existing technologies rely heavily on manual matching and filling of category attribute fields according to platform rules, lacking a standardized attribute filtering mechanism. This easily leads to issues such as missing, incorrect, or excessive invalid fields, resulting in non-compliant product attributes and abnormal display. Therefore, step S30 avoids the shortcomings of manual parameter filling, such as high arbitrariness, low attribute matching accuracy, and poor field compliance. This enables multimodal automatic attribute recognition and accurate filling based on platform standard rules, ensuring the compliance and accuracy of product attribute fields and effectively improving the efficiency of product attribute configuration and the publication approval rate.

[0046] In one feasible embodiment, step S30 may include steps S31 to S33: Step S31: Perform multimodal feature extraction on the product information to obtain text features and image text features; In this embodiment, a "whether to automatically identify category attributes" control switch is configured in the category header, and the switch is in the off state by default; when the switch is detected to be in the checked on state, multimodal data parsing is performed on the acquired product information, and the text features corresponding to the product name and product description, as well as the image text features corresponding to the product image, are extracted and integrated to form multimodal feature data for attribute recognition.

[0047] Step S32: Based on the text features and the image text features, perform semantic parsing and matching on the attribute fields in the preset platform attribute whitelist to generate corresponding attribute field values; In this embodiment, it is supported to independently configure an automatically identifiable attribute field whitelist according to different target publishing platform dimensions. Based on the configured platform attribute whitelist, multimodal semantic parsing is performed by combining extracted text features and image text features to match various classification attribute fields such as color, material, and applicable audience in the platform attribute whitelist and generate corresponding attribute field fill values.

[0048] Step S33: Fill the attribute field value into the classification attribute field corresponding to the target classification.

[0049] In this embodiment, the matched attribute field values ​​are filled into the category attribute positions corresponding to the current target category, and the complete recognition and filling results are displayed to support operators to preview the filled content online and make manual corrections and adjustments according to the actual product situation, so as to finally confirm the compliant and accurate attribute filling data.

[0050] For example, the system identifies and fills in the product's image and text information to obtain attribute results such as black, pure cotton material, and suitable for adults. Operators can preview the automatic filling results. If there are recognition errors, they can manually modify the attribute field values ​​such as color, material, and applicable people. After correction, they can confirm and save to obtain accurate and compliant classification attribute filling data.

[0051] Through the above steps, the automatic attribute recognition function can be selectively enabled by the switch control. Combined with multimodal information, cross-platform attribute intelligent filling is completed, and a preview manual correction mechanism is provided. This enables semi-automatic filling of product attribute fields, reduces operational burden, and avoids products being unable to be displayed or search results being reduced due to missing attributes.

[0052] Step S40: According to the platform rule information, call the preset claim template of the corresponding platform, display the category attribute field to complete the product claim operation and generate the corresponding product claim data; It should be noted that the preset claim template is a dedicated template built independently for the listing field specifications and configuration requirements of each cross-border e-commerce platform. Different platforms have different field combinations and configuration rules, which can realize differentiated adaptation and rapid reuse of product claims across multiple platforms.

[0053] Understandably, existing technologies cannot adapt to different e-commerce platforms with differentiated fields, lack reusable platform-specific claim templates, and generally adopt rigid mandatory field validation mechanisms, resulting in poor adaptability, a large amount of repetitive configuration work, and a high risk of causing delays in the claim process and low listing efficiency. Therefore, step S40 avoids the problems of poor cross-platform face compatibility, unreusable templates, and rigid processes, thereby enabling multi-platform differentiated field display, rapid template reuse, and flexible claim submission, significantly improving the adaptability and operational efficiency of cross-border product claim and listing.

[0054] In one feasible embodiment, step S40 may include steps S41 to S45: Step S41: Identify the target e-commerce platform identifier based on the platform rule information; In this embodiment, the platform rule information of the target listing platform is parsed, the corresponding platform unique identifier is extracted, the target e-commerce platform corresponding to the product to be listed is identified, and the field specifications and claim configuration requirements of different platforms are distinguished to provide a basis for subsequent matching and claiming templates.

[0055] Step S42: Invoke the preset claim template corresponding to the target e-commerce platform identifier; In this embodiment, the system supports creating and saving exclusive claim templates according to different e-commerce platform dimensions. Each platform template is independent and does not interfere with each other. Based on the identified target e-commerce platform identifier, the system retrieves the pre-stored corresponding platform claim template, realizing one-click matching and reuse of templates without the need for repeated manual configuration of fields.

[0056] Step S43: Load and display the category attribute fields in the preset claim template; In this embodiment, a pre-defined claim template is loaded and displayed differently on the claim page according to the field rules of the corresponding platform. Specific required and displayed fields are adapted for different platforms; for example, the UPC field is displayed and adapted for the Amazon platform, while the brand field is highlighted for the Lazada platform, achieving differentiated and accurate display of fields across multiple platforms. Simultaneously, default values ​​are automatically selected for pre-defined fixed fields within the template; for example, the "Is it a new product?" field is selected as "yes" by default, achieving automatic pre-setting of field parameters.

[0057] Step S44: Receive user input or confirmation from the user regarding the displayed category attribute fields; In this embodiment, no mandatory fields are set for any category attribute fields displayed on the claim page, thus removing rigid filling restrictions. Users can independently supplement or modify the field content according to the actual situation of the product, or directly confirm the default field values ​​of the system. The operation can be completed without filling in all fields, improving the flexibility of the claim operation.

[0058] Step S45: Generate product claim data based on the category attribute fields entered or confirmed by the user.

[0059] In this embodiment, the content of the category attribute fields modified or confirmed by the user is collected, all valid field information is integrated, and standardized and packaged to generate product claim data adapted to the current target platform. The product claim data includes, but is not limited to, the following: Through the above steps, we can achieve differentiated field display across multiple platforms, reuse of platform-specific templates, configuration of default field values, and flexible submission verification. This solves the problems of weak cross-platform adaptability, cumbersome operation, and rigid process in traditional product claiming, and effectively improves the flexibility and reusability of cross-border product claiming and listing.

[0060] Step S50: Based on the product claim data, associate the product to be published with the corresponding site sub-store and complete the publication.

[0061] Understandably, existing cross-border listing solutions suffer from several drawbacks. Firstly, the data of each sub-store on each site is independent, making unified posting impossible. Product fields require manual configuration for each store, resulting in heavy maintenance workload, poor data consistency, isolated inventory across stores, and redundant inventory management operations. Secondly, site-specific product editing is disconnected from global product data, hindering effective data linkage and flexible channel configuration. Therefore, step S50 addresses these shortcomings of traditional multi-store listings, such as cumbersome operations, inconsistent field synchronization, redundant inventory management, and poor data linkage. It enables unified listing across multiple site sub-stores, automatic synchronization of all fields, and cross-store inventory sharing. Furthermore, it supports manual editing and synchronization of product data, write-back of key fields, and flexible configuration of logistics channels, significantly improving the collaboration and operational efficiency of multi-store cross-border listings.

[0062] In one feasible embodiment, step S50 may include steps S51 to S54: Step S51: Receive the target site and corresponding sub-store selected by the user; In this embodiment, product publishing operations are supported between linked sites and sub-stores. The system receives the user's selected listing site and corresponding sub-store, while configuring a unique selection restriction rule that allows only a single sub-store to be selected for listing on the same target site, avoiding duplicate listings and data chaos caused by multiple stores on the same site. The system also inherits the backend currency configuration of the selected sub-store, with the default currency being USD or RMB, to adapt to the transaction settlement specifications of the corresponding site.

[0063] Step S52: Synchronize the product name, product description, category, brand, specifications, image, weight, size, delivery days and price fields in the product claim data to the selected sub-store; In this embodiment, based on the generated standardized product claim data, all core fields such as product name, product description, category, brand, specifications, image, weight, size, delivery days, and price are extracted and synchronized to the user's selected site sub-store. This eliminates the need for manual entry and configuration of each field, ensuring that the content of product fields listed in each sub-store is consistent and standardized.

[0064] Step S53: Configure an inventory sharing mechanism for each sub-store so that multiple sub-stores can share the same inventory data; In this embodiment, for scenarios involving joint listings by multiple sub-stores, a unified cross-store inventory sharing mechanism is configured to bind multiple associated sub-stores to the same inventory data source, enabling real-time synchronization and interoperability of inventory data across multiple stores. This eliminates the traditional single-store independent inventory configuration mode, saves on repetitive setup and verification of inventory operations, and avoids the problem of inconsistent inventory data.

[0065] Step S54: Based on the synchronized product fields and inventory configuration, the product to be published is associated with the corresponding site sub-store to complete the publication.

[0066] In this embodiment, after completing the automatic synchronization of all product fields and cross-store inventory sharing configuration, a unique association is established between the products to be listed and the selected site sub-stores, and batch listing is completed. After listing, users can manually synchronize and edit online products and site products; independent modification of site products will not affect the original global product base data, and the modified key fields such as category, brand, image, and shipping time can be written back and synchronized to the global product data. At the same time, users can flexibly edit and update the logistics channel configuration corresponding to the products according to the site operation needs, adapting to the differentiated operation needs of multiple sites.

[0067] Furthermore, if the target platform already has the corresponding product, this embodiment supports users exporting the existing product's Excel file for easy data backup and organization. Users can select the "Import Products" function above the listing list in the ERP (Enterprise Resource Planning) system to complete the product data import operation. After successful import, the product offer information will be automatically synchronized to the corresponding platform within 24 hours. Simultaneously, the system is configured with data overwrite update rules; product data modified on the platform will be overwritten by the ERP system data. Users can retain platform-side modifications by re-importing product data in advance. After a product listing is submitted, it needs to be queued for processing. The listing results are usually displayed after 15 to 20 minutes. The system continuously tracks and updates the listing status through a timed query mechanism to ensure real-time awareness of the listing progress, thereby achieving efficient flow and version control of product information and ensuring master data consistency.

[0068] Through the above steps, standardized listing of products across multiple sub-stores is achieved, along with automatic synchronization of all fields and cross-store inventory sharing. It also includes the ability to manually edit data, automatically write back fields, and configure logistics channels, solving the technical pain points of cumbersome operation and maintenance, data fragmentation, and redundant management in traditional multi-store listings. This effectively improves the intelligence and flexibility of cross-border multi-store product listings.

[0069] The above-described embodiments involve obtaining product information of the product to be published and platform rule information of the target publishing platform; using a preset classification recognition model, semantic matching and recognition of the product information are performed to obtain candidate categories, and the target category of the product to be published is determined from the candidate categories based on user selection; based on a preset platform attribute whitelist and the product information, the classification attribute fields corresponding to the target category are identified and filled; according to the platform rule information, the preset claim template of the corresponding platform is called to display the classification attribute fields to complete the product claim operation and generate corresponding product claim data; based on the product claim data, the product to be published is associated with the corresponding site sub-store for listing. This method achieves product classification and attribute filling through a classification and recognition model, reducing reliance on manual operations, avoiding human error, and improving the intelligence and accuracy of product listing. By adapting to differentiated platform rules through the claim template, rigid field validation is eliminated, effectively improving the flexibility of cross-platform listing adaptation. Based on product claim data, unified listing and data synchronization are achieved across multiple site sub-stores, enabling collaborative management of multiple stores, reducing repetitive maintenance work, and ensuring data consistency. It effectively solves the technical problems of high reliance on manual operations, weak cross-platform adaptation, and low efficiency of multi-store management in existing solutions, improving the overall efficiency and standardization of large-scale cross-border product listing.

[0070] Based on the first embodiment of this application, in the second embodiment of this application, the content that is the same as or similar to that in Embodiment 1 above can be referred to the above description, and will not be repeated hereafter. Based on this, please refer to... Figure 2 After step S50, the product listing management method further includes steps S501 to S504: Step S501: Add the listed products from the sub-store to the preset list of products being monitored for counterfeiting. In this embodiment, since existing cross-border stores lack a systematic monitoring mechanism for follow-selling after product listing, manual inspection of each site's products is required regularly to check for follow-selling behavior. This results in incomplete monitoring coverage, poor timeliness, and high labor costs, and is prone to problems such as low-price follow-selling that seizes links and affects product sales and ranking. Therefore, this embodiment supports the collection and addition of products for sale after listing in each sub-store to a preset follow-selling monitoring list to achieve unified management of all products for sale.

[0071] Step S502: Obtain competitor price information for the corresponding product from the preset follow-up monitoring list according to a preset time frequency; In this embodiment, a fixed timed data collection frequency is configured, preferably once per hour, to traverse all products on sale in the follow-up monitoring list, and crawl key data such as the platform bidding price and product store information corresponding to each product. This achieves automated price collection around the clock, eliminating the need for manual querying of competitor prices and ensuring the timeliness and continuity of price data updates.

[0072] Step S503: Based on the competitor's price information, determine whether there is any situation where the product is being copied. In this embodiment, the real-time captured competitor price information is compared and verified with the selling price and product link information of the store's products to identify whether there is any copycat behavior by other merchants listing the same product or distributing it at a lower price. The number of copycat products of the current product is counted and displayed in the copycat details column. If the number of copycat products is greater than 0, it is determined that the current product is being copied, thus completing the accurate identification of the copycat status.

[0073] Step S504: When a situation of being copied is detected, the selling price of the corresponding product is adjusted based on the preset automatic price adjustment rules.

[0074] In this embodiment, the system supports users to pre-configure automatic price adjustment rules, allowing for customized settings of competitor price reduction fluctuation ratios and corresponding price adjustment ratios for the store's products. For example, a configurable rule could be: when a competitor's price is detected to be X% lower than the store's product price, an automatic price reduction of Y% for the store's product is triggered. When low-price copying behavior is detected and matches the aforementioned preset automatic price adjustment rules, the system intelligently fine-tunes the product price in the corresponding sub-store and updates the product's selling price in real time, effectively avoiding malicious low-price competition and ensuring the product's market competitiveness and the store's profit margin.

[0075] The above-described method adds listed sub-store products to a pre-defined follow-selling monitoring list; retrieves competitor price information for the corresponding products from the pre-defined follow-selling monitoring list at a pre-defined time frequency; determines whether follow-selling exists based on the competitor price information; and adjusts the selling price of the corresponding products based on pre-defined automatic price adjustment rules when follow-selling is detected. This achieves fully automated follow-selling monitoring, timed competitor capture, intelligent follow-selling judgment, and automatic price adjustment for listed products, constructing a full-process management system from product listing to after-sales price risk control. This completely solves the problems of lagging follow-selling monitoring, untimely price adjustments, and weak risk control capabilities in traditional manual monitoring, effectively improving the operational risk control capabilities and market competitiveness of cross-border store products.

[0076] It should be noted that the above examples are only for understanding this application and do not constitute a limitation on the product listing management method of this application. Any simple modifications based on this technical concept are within the protection scope of this application.

[0077] This application also provides a product listing management system; please refer to [link / reference]. Figure 3 The product listing management system includes: The acquisition module 10 is used to acquire product information of the product to be published and platform rule information of the target publishing platform; The classification module 20 is used to perform semantic matching and recognition on the product information through a preset classification recognition model to obtain candidate classifications, and to determine the target classification of the product to be published from the candidate classifications based on the user's selection. The filling module 30 is used to identify and fill the category attribute field corresponding to the target category based on a preset platform attribute whitelist and the product information; The claim module 40 is used to call the corresponding platform's preset claim template according to the platform rule information, display the category attribute field, complete the product claim operation, and generate the corresponding product claim data. The listing module 50 is used to associate the product to be listed with the corresponding site sub-store and complete the listing based on the product claim data.

[0078] The product listing management system provided in this application, employing the product listing management method described in the above embodiments, can solve the technical problems of existing cross-border product listing solutions, such as high reliance on manual labor, poor cross-platform adaptability and flexibility, low efficiency of multi-store collaborative management, and inability to achieve intelligent and large-scale batch listing. Compared with the prior art, the beneficial effects of the product listing management system provided in this application are the same as those of the product listing management method provided in the above embodiments, and other technical features in the product listing management system are the same as those disclosed in the methods of the above embodiments, and will not be repeated here.

[0079] This application provides a product listing management device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, which are executed by the at least one processor to enable the at least one processor to perform the product listing management method in Embodiment 1 above.

[0080] The following is for reference. Figure 4 The diagram illustrates a structural schematic of a product listing management device suitable for implementing embodiments of this application. The product listing management device in these embodiments may include, but is not limited to, mobile terminals such as mobile phones, laptops, digital radio receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Description), PMPs (Portable Media Players), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 4 The product listing management device shown is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of this application.

[0081] like Figure 4As shown, the product listing management device may include a processing unit 1001 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 1002 or a program loaded from a storage device 1003 into a random access memory (RAM) 1004. The RAM 1004 also stores various programs and data required for the operation of the product listing management device. The processing unit 1001, ROM 1002, and RAM 1004 are interconnected via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, a touchscreen, touchpad, keyboard, mouse, image sensor, microphone, accelerometer, gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), speaker, vibrator, etc.; storage devices 1003 including, for example, magnetic tape, hard disk, etc.; and communication devices 1009. Communication device 1009 allows the product listing management device to communicate wirelessly or wiredly with other devices to exchange data. Although the figures show product listing management devices with various systems, it should be understood that implementation or possession of all the systems shown is not required. More or fewer systems may be implemented alternatively.

[0082] Specifically, according to the embodiments disclosed in this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments disclosed in this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device, or installed from storage device 1003, or installed from ROM 1002. When the computer program is executed by processing device 1001, it performs the functions defined in the methods of the embodiments disclosed in this application.

[0083] The product listing management device provided in this application, employing the product listing management method described in the above embodiments, can solve the technical problems of existing cross-border product listing solutions, such as high reliance on manual labor, poor cross-platform adaptability and flexibility, low efficiency of multi-store collaborative management, and inability to achieve intelligent and large-scale batch listing. Compared with the prior art, the beneficial effects of the product listing management device provided in this application are the same as those of the product listing management method provided in the above embodiments, and other technical features of this product listing management device are the same as those disclosed in the previous embodiment method, and will not be repeated here.

[0084] It should be understood that the various parts disclosed in this application can be implemented using hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples.

[0085] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0086] This application provides a computer-readable storage medium having computer-readable program instructions (i.e., a computer program) stored thereon, which are used to execute the product listing management method in the above embodiments.

[0087] The computer-readable storage medium provided in this application may be, for example, a USB flash drive, but is not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems or devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system or device. The program code contained on the computer-readable storage medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0088] The aforementioned computer-readable storage medium may be included in the product listing management device; or it may exist independently and not be assembled into the product listing management device.

[0089] The aforementioned computer-readable storage medium carries one or more programs. When these programs are executed by the product listing management device, the product listing management device performs the following actions: acquires product information of the product to be listed and platform rule information of the target listing platform; performs semantic matching and recognition on the product information using a preset classification recognition model to obtain candidate categories, and determines the target category of the product to be listed from the candidate categories based on user selection; identifies and fills in the category attribute fields corresponding to the target category based on a preset platform attribute whitelist and the product information; calls the preset claim template of the corresponding platform according to the platform rule information, displays the category attribute fields to complete the product claim operation, and generates corresponding product claim data; and associates the product to be listed with the corresponding site sub-store and completes the listing based on the product claim data.

[0090] Computer program code for performing the operations of this application can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a Local Area Network (LAN) or a Wide Area Network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0091] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0092] The modules described in the embodiments of this application can be implemented in software or hardware. The names of the modules do not necessarily limit the functionality of the unit itself.

[0093] The readable storage medium provided in this application is a computer-readable storage medium that stores computer-readable program instructions (i.e., computer programs) for executing the above-described product listing management method. This solves the technical problems of existing cross-border product listing solutions, such as high reliance on manual labor, poor cross-platform adaptability, low efficiency in multi-store collaborative management, and inability to achieve intelligent, large-scale batch listing. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as those of the product listing management method provided in the above embodiments, and will not be repeated here.

[0094] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the commodity listing management method described above.

[0095] The computer program product provided in this application can solve the technical problems of existing cross-border commodity listing solutions, such as high reliance on manual labor, poor cross-platform adaptability and flexibility, low efficiency of multi-store collaborative management, and inability to achieve intelligent and large-scale batch listing. Compared with the prior art, the beneficial effects of the computer program product provided in this application are the same as the beneficial effects of the commodity listing management method provided in the above embodiments, and will not be repeated here.

[0096] The above description is only a part of the embodiments of this application and does not limit the patent scope of this application. All equivalent structural transformations made under the technical concept of this application and using the contents of the specification and drawings of this application, or direct / indirect applications in other related technical fields, are included in the patent protection scope of this application.

Claims

1. A method for managing product listings, characterized in that, The product listing management method includes: Obtain product information for the products to be listed and platform rule information for the target listing platform; Using a preset classification and recognition model, the product information is semantically matched and recognized to obtain candidate categories, and the target category of the product to be published is determined from the candidate categories based on the user's selection. Based on the preset platform attribute whitelist and the product information, identify and fill in the category attribute field corresponding to the target category; Based on the platform rules information, the corresponding platform's preset claim template is invoked to display the category attribute fields, thereby completing the product claim operation and generating the corresponding product claim data; Based on the product claim data, the products to be published are associated with the corresponding site sub-stores and the listing is completed.

2. The product listing management method as described in claim 1, characterized in that, The step of performing semantic matching and recognition on the product information using a preset classification and recognition model to obtain candidate categories includes: Extract key information from the product information, including one or more of the product name, brand, and keywords; The key information is semantically aligned and converted into a high-dimensional semantic vector using the preset classification and recognition model. Calculate the similarity score between the high-dimensional semantic vector and each preset classification label vector in the pre-constructed platform classification system vector space; The preset category labels are sorted according to the similarity scores, and one or more category labels with the highest scores are selected as candidate categories.

3. The product listing management method as described in claim 1, characterized in that, The step of identifying and filling the category attribute field corresponding to the target category based on the preset platform attribute whitelist and the product information includes: Multimodal feature extraction is performed on the product information to obtain text features and image text features; Based on the text features and the image text features, semantic parsing and matching are performed on the attribute fields in the preset platform attribute whitelist to generate corresponding attribute field values; The attribute field values ​​are filled into the category attribute field corresponding to the target category.

4. The product listing management method as described in claim 1, characterized in that, The steps of calling the corresponding platform's preset claim template according to the platform rule information, displaying the category attribute fields to complete the product claim operation, and generating the corresponding product claim data include: Identify the target e-commerce platform identifier based on the platform rule information; Call the preset claim template corresponding to the target e-commerce platform identifier; Load and display the category attribute fields in the preset claim template; Receive user input or confirmation for the displayed category attribute fields; Product claim data is generated based on the category attribute fields entered or confirmed by the user.

5. The product listing management method as described in claim 1, characterized in that, The step of associating the product to be listed with the corresponding site sub-store and completing the listing based on the product claim data includes: Receive the target site and corresponding sub-store selected by the user; The product name, product description, category, brand, specifications, image, weight, size, shipping days, and price fields in the product claim data are synchronized to the selected sub-store. Configure an inventory sharing mechanism for each sub-store, so that multiple sub-stores can share the same inventory data; Based on the synchronized product fields and inventory configuration, the products to be published are associated with the corresponding site sub-stores to complete the listing.

6. The product listing management method as described in claim 5, characterized in that, After the step of associating the product to be listed with the corresponding site sub-store based on the product claim data and completing the listing, the following steps are included: Add the listed products from the sub-stores to the preset list of products being sold by other sellers; According to a preset time frequency, the price information of competing products of the corresponding products is obtained from the preset follow-up monitoring list; Based on the competitor's price information, determine whether there is any copycat selling. When a seller detects that their product is being copied, the selling price of the corresponding product is adjusted based on preset automatic price adjustment rules.

7. A product listing management system, characterized in that, The product listing management system includes: The acquisition module is used to acquire product information of the product to be listed and platform rule information of the target listing platform; The classification module is used to perform semantic matching and recognition on the product information through a preset classification recognition model to obtain candidate classifications, and to determine the target classification of the product to be published from the candidate classifications based on the user's selection. The fill module is used to identify and fill the category attribute field corresponding to the target category based on a preset platform attribute whitelist and the product information; The claim module is used to call the corresponding platform's preset claim template according to the platform rule information, display the category attribute fields, complete the product claim operation, and generate the corresponding product claim data. The listing module is used to associate the products to be listed with the corresponding site sub-stores and complete the listing based on the product claim data.

8. A product listing management device, characterized in that, The device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the product listing management method as described in any one of claims 1 to 6.

9. A storage medium, characterized in that, The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, it implements the steps of the commodity listing management method as described in any one of claims 1 to 6.

10. A computer program product, characterized in that, The computer program product includes a computer program that, when executed by a processor, implements the steps of the product listing management method as described in any one of claims 1 to 6.

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