Information verification method and device based on commodity SKU and medium
Through the automatic code scanning verification method, the Internet of Things and computer vision technology are used to analyze the product SKU information, which solves the problem of low efficiency of manual verification, realizes fast and accurate verification and abnormality monitoring, and improves work efficiency and accuracy.
Patent Information
- Application Number
- CN202510784636.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-12
- Publication Date
- 2025-09-26
AI Technical Summary
Existing product SKU information verification mainly relies on manual processing, which is inefficient and prone to errors, and cannot quickly and accurately monitor the real-time status of product SKUs.
An automatic code scanning verification method is adopted, real-time data decoding is performed through the IoT code scanner, and computer vision technology and algorithms are combined for analysis to conduct verification at the production and business levels, and alarms are pushed in abnormal situations.
It achieves fast and accurate verification of product SKU information, reduces human errors, improves work efficiency, and promptly detects abnormal situations and notifies relevant personnel.
Smart Images
Figure CN120706450A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of code scanning verification, and in particular to a method, device and medium for information verification based on product SKU. Background Art
[0002] Product SKU (Stock Keeping Unit) information is a core data unit in product management, used to uniquely identify product items with specific attributes. Unique identification: SKUs are the smallest inventory unit for a product and are generated based on a combination of product attributes (such as color, size, and specifications). For example, a red M-size T-shirt and a blue L-size T-shirt belong to different SKUs. Furthermore, multi-dimensional attributes, such as brand, model, material, capacity, price, and origin, are included. Any change in any attribute will generate a new SKU.
[0003] In the existing traditional method, manual scanning of product SKU codes is typically performed using handheld scanners for comparison. Any anomalies require manual registration. This is not only inefficient but also significantly wastes manpower and time. Furthermore, manual verification is often inaccurate and subject to errors when acquiring and comparing product SKU information. Furthermore, the generation of anomaly verification results also requires manual recording and organization, making it difficult to accurately and quickly monitor the real-time status of product SKU information. Summary of the Invention
[0004] The embodiments of the present application provide a product SKU-based information verification method, device, and medium for solving the following technical problems: Existing product SKU information is generally manually verified or registered, which can easily lead to low efficiency and a significant waste of manpower costs, and is not conducive to the intelligent verification and monitoring of product SKU information.
[0005] The embodiments of this application adopt the following technical solutions:
[0006] On the one hand, an embodiment of the present application provides a product SKU-based information verification method, including: performing real-time data decoding processing on automatically uploaded product scan code data to obtain specific product SKU information; performing relevant production-level verification processing on the specific product SKU information through the production line product SKU information to obtain first verification result information; performing relevant business-level verification processing on the specific product SKU information based on the verification pass information in the first verification result information to obtain second verification result information; performing product SKU abnormality monitoring processing on both the first verification result information and the second verification result information to determine verification abnormality information; and performing alarm information push processing on the verification abnormality information.
[0007] The embodiment of the present application can process a large number of barcode scanning requests quickly and accurately through automatic barcode scanning verification without relying on manual operation. This can improve work efficiency, save time and human resources. At the same time, automatic barcode scanning verification relies on computer vision technology and algorithms, which can accurately decode and identify barcode information, reducing the possibility of human error. In contrast, manual barcode scanning may be affected by factors such as lack of concentration, fatigue or misreading, resulting in incorrect identification and verification. Automatic barcode scanning verification can also immediately verify the scanned SKU and provide real-time feedback to the user based on the verification results. In this way, the user can immediately know the SKU information and verification results without waiting for manual processing. Automatic barcode scanning verification can set an abnormal alarm mechanism to promptly detect and notify relevant personnel or system administrators of abnormal situations, such as invalid SKUs or insufficient inventory. In this way, appropriate measures can be taken quickly to prevent the wrong goods from entering circulation or problems caused by inventory shortages.
[0008] In a feasible implementation, the automatically uploaded product scan code data is subjected to real-time data decoding processing to obtain specific product SKU information, specifically including: scanning the product to be scanned by an automatic barcode scanner behind the Internet of Things to obtain the product scan code data; uploading the product scan code data to a barcode recognition service interface; converting the product scan code data into graphic data and performing unified format processing to obtain a QR code image; parsing the QR code image through computer vision technology, and associating the parsed attribute data with the corresponding product in a tree structure to obtain the specific product SKU information of the current product.
[0009] In a feasible implementation, the specific product SKU information is verified at the production level through the production line product SKU information to obtain the first verification result information, which specifically includes: querying and obtaining the production line product SKU information of the current product through the commodity inventory system; wherein, the production line product SKU information is the product SKU information stored at the production level; performing hierarchical splitting of the attribute data of the specific product SKU information to obtain a number of actual scanned attribute SKU information; according to the actual scanned attribute SKU information, performing one-to-one comparison and verification on the hierarchical attribute data in the production line product SKU information to obtain the first verification result information of each attribute SKU information; wherein, the first verification result information includes: verification pass information and verification fail information.
[0010] In a feasible implementation, if the first verification result information is the verification failure information, the attribute SKU information corresponding to the verification failure information is marked one by one to obtain several abnormal attribute SKU information; the abnormal attribute SKU information is stored in a tabular form to obtain the first abnormal verification result information.
[0011] In a feasible implementation, based on the verification pass information in the first verification result information, the specific product SKU information is verified at the relevant business level to obtain the second verification result information, specifically including: if the first verification result information is verification pass information, the specific product SKU information is traceable and query processed to obtain the traceability query result information; wherein, the traceability query result information includes: the data storage traceability result of the commodity inventory system and the product inventory traceability result of the offline warehouse; the historical product SKU information corresponding to the current commodity in the traceability query result information is verified item by item with the specific product SKU information to obtain the second verification result information; wherein, the second verification result information includes: traceability verification pass information and traceability verification fail information.
[0012] In a feasible implementation, if the second verification result information is the traceability verification failure information, the distinguishing attribute items between the historical product SKU information and the specific product SKU information are extracted and processed to obtain historical attribute SKU information based on the historical product SKU information and current attribute SKU information based on the specific product SKU information; the historical attribute SKU information and the current attribute SKU information that correspond to each other are stored in a tabular form to obtain the second abnormal verification result information.
[0013] In a feasible implementation, both the first verification result information and the second verification result information are subjected to product SKU abnormality monitoring to determine verification abnormality information, specifically including: performing abnormality monitoring on the product SKU information of the first verification result information, and extracting the first abnormal verification result information when the verification fails; performing abnormality monitoring on the product SKU information of the second verification result information, and extracting the second abnormal verification result information when the verification fails; combining the first abnormal verification result information at the production level and the second abnormal verification result information at the business level to obtain the verification abnormality information.
[0014] In a feasible implementation, the verification exception information is processed as an alarm information push, specifically including: generating alarm information from the verification exception information to obtain abnormal alarm information; semantically parsing the verification exception information to determine the specific abnormal attribute SKU information in the product SKU information; and pushing the specific abnormal attribute SKU information and the abnormal alarm information to the mobile terminal of the staff.
[0015] In the second aspect, an embodiment of the present application also provides an information verification device based on product SKU, the device comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions that can be executed by the at least one processor, so that the at least one processor can execute a product SKU-based information verification method described in any of the above embodiments.
[0016] In a third aspect, an embodiment of the present application further provides a non-volatile computer storage medium, characterized in that the storage medium is a non-volatile computer-readable storage medium, and the non-volatile computer-readable storage medium stores at least one program, each of which includes instructions, and when the instructions are executed by the terminal, the terminal executes a product SKU-based information verification method described in any of the above embodiments.
[0017] This application provides a product SKU-based information verification method, device, and medium. Compared with the existing technology, the embodiments of this application have the following beneficial technical effects:
[0018] 1. Improve efficiency: Automatic code scanning verification can quickly and accurately process a large number of code scanning requests without relying on manual operations. This can improve work efficiency and save time and human resources.
[0019] 2. Reduced Errors: Automated barcode scanning and verification relies on computer vision technology and algorithms to accurately decode and identify barcode information, reducing the possibility of human error. In contrast, manual barcode scanning can be affected by factors such as inattention, fatigue, or misreading, leading to incorrect recognition and verification.
[0020] 3. Real-time feedback: Automatic code scanning and verification can immediately verify the scanned SKU and provide real-time feedback to users based on the verification results. This way, users can immediately obtain SKU information and verification results without having to wait for manual processing.
[0021] 4. Abnormal alarm: Automatic code scanning verification can set up abnormal alarm mechanism to promptly detect and notify relevant personnel or system administrators about abnormal situations, such as invalid SKUs or insufficient inventory. This allows appropriate measures to be taken quickly to prevent problems caused by incorrect products entering circulation or inventory shortages.
[0022] 5. Data Recording and Analysis: Automatic code scanning and verification can record and store scanned data, providing data analysis and reporting functions. This helps monitor and analyze sales data, inventory status, and product circulation, providing valuable information for business decision-making. BRIEF DESCRIPTION OF THE DRAWINGS
[0023] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments described in the present application. For those skilled in the art, other drawings can be obtained based on these drawings without creative work. In the drawings:
[0024] Figure 1 A flowchart of a product SKU-based information verification method provided in an embodiment of the present application;
[0025] Figure 2 A schematic diagram of the structure of a product SKU-based information verification device provided in an embodiment of the present application. DETAILED DESCRIPTION
[0026] In order to enable those skilled in the art to better understand the technical solutions in this application, the following will clearly and completely describe the technical solutions in the embodiments of this application in conjunction with the drawings in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of this application.
[0027] It should be noted that this application provides a product SKU-based information verification method, and the key technologies involved include:
[0028] 1. Image processing and recognition technology: Image processing and recognition technology is required during the scanning process. For example, a camera or barcode scanner is used to capture the product barcode or QR code, and then an image processing algorithm is used to decode and identify it to obtain the product's SKU information.
[0029] 2. Database management and query: The QR code verification process requires interaction with the database to verify whether the SKU exists in the database or product inventory system. This may involve database design, management, and query technology, as well as ensuring data consistency and integrity.
[0030] 3. Anomaly Detection and Handling: During the barcode scanning and verification process, anomalies may occur, such as barcode recognition failure or SKU verification failure. An appropriate anomaly detection mechanism must be designed, such as defining anomaly codes and trigger conditions, as well as an anomaly detection algorithm. Furthermore, anomaly handling must be performed, such as triggering an alarm to notify relevant personnel.
[0031] 4. Abnormal alarms and notifications: When abnormal situations occur, timely alarms need to be issued to notify relevant personnel. This can be achieved through SMS, email, push notifications, etc. Consider the alarm receiving channel, the format and level of detail of the alarm content, and the urgency and priority of the alarm.
[0032] 5. System availability and performance: The system for automatically scanning and verifying product SKUs needs to have high availability and performance to ensure fast and accurate code verification and anomaly alerts in high-concurrency scenarios. Technical considerations include system architecture design, load balancing, and cache optimization.
[0033] The embodiment of the present application provides a method for verifying information based on product SKU, such as Figure 1 As shown, the information verification method based on the product SKU specifically includes steps S101-S105:
[0034] S101: Perform real-time data decoding on the automatically uploaded product scan code data to obtain specific product SKU information.
[0035] Specifically, first, the product to be scanned is scanned by an automatic barcode scanner behind the Internet of Things to obtain the product scanning data; and the product scanning data is uploaded to the barcode recognition service interface.
[0036] Furthermore, the product scanned code data is converted into graphic data and the format is unified to obtain a QR code image.
[0037] Furthermore, the QR code image is parsed and processed through computer vision technology, and the parsed attribute data is associated with the tree structure of the corresponding product to obtain the specific product SKU information of the current product.
[0038] In one embodiment, a networked automatic barcode scanner is first used to upload the scanned data to a barcode recognition service interface. Image processing and computer vision technologies are then used to process and decode the scanned barcode image and extract the SKU encoding information. Specifically, a networked QR code scanner can be used to upload the scanned QR code data to a backend system, which then interprets the QR code data to obtain the specific product SKU information.
[0039] S102: Perform production-level verification on the specific product SKU information using the production line product SKU information to obtain first verification result information.
[0040] Specifically, it is also necessary to query and obtain the SKU information of the current product through the product inventory system. The SKU information of the production line product is the product SKU information stored at the production level.
[0041] Furthermore, the specific product SKU information is subjected to hierarchical splitting of attribute data to obtain a number of actual scanned attribute SKU information.
[0042] Furthermore, based on the actual scanned attribute SKU information, the hierarchical attribute data in the production line product SKU information is compared and verified one by one to obtain the first verification result information of each attribute SKU information. The first verification result information includes: verification pass information and verification fail information.
[0043] Furthermore, if the first verification result information is verification failure information, the attribute SKU information corresponding to the verification failure information is marked one by one to obtain a plurality of abnormal attribute SKU information.
[0044] Furthermore, the abnormal attribute SKU information is stored in a tabular form to obtain first abnormality verification result information.
[0045] In one embodiment, a backend system for automatic barcode scanning manages the barcode SKU database uploaded by the scanner and processes scan verification requests. This backend system is capable of communicating with the scanner, receiving the scanned data, and performing verification. Specifically, the parsed QR code data, which contains specific product SKU information, is compared and verified with the SKUs of products currently in production on the production line, thereby generating first verification result information.
[0046] S103: Based on the verification pass information in the first verification result information, perform business-level verification processing on the specific product SKU information to obtain second verification result information.
[0047] Specifically, if the first verification result information is verification passed, a traceability query is performed on the specific product SKU information to obtain traceability query result information, wherein the traceability query result information includes: the data storage traceability result of the commodity inventory system and the product inventory traceability result of the offline warehouse.
[0048] Furthermore, the historical product SKU information corresponding to the current product in the traceability query result information is verified against the specific product SKU information item by item to obtain second verification result information, wherein the second verification result information includes: traceability verification pass information and traceability verification fail information.
[0049] Furthermore, if the second verification result information is that the traceability verification fails, the distinguishing attribute items between the historical product SKU information and the specific product SKU information are extracted and processed to obtain the historical attribute SKU information based on the historical product SKU information and the current attribute SKU information based on the specific product SKU information.
[0050] Furthermore, the historical attribute SKU information and the current attribute SKU information that correspond to each other are stored in a table to obtain second abnormality verification result information.
[0051] In one embodiment, data collection and preprocessing are performed first. This involves collecting first verification results, including information on passed verification, and specific product SKU information. A traceability query is then performed, using the product inventory system to query historical data for specific product SKUs. Furthermore, the offline warehouse management system is used to query the inventory history of specific product SKUs. Finally, information comparison and analysis is performed, comparing the historical product SKU information obtained from the traceability query with the current product SKU information. This comparison includes, but is not limited to, product attributes, inventory levels, production dates, batch numbers, and more.
[0052] In one embodiment, the comparison results are further verified item by item to determine if any discrepancies exist. Second verification result information is then generated, including both pass and fail statuses. If the verification fails, the distinguishing attribute items between the historical product SKU information and the current product SKU information are extracted. Furthermore, the historical attribute SKU information and the current attribute SKU information must be distinguished. Finally, the historical attribute SKU information and the current attribute SKU information are stored in a table to generate second abnormal verification result information for further analysis or processing.
[0053] S104: Perform product SKU abnormality monitoring on both the first verification result information and the second verification result information to determine verification abnormality information.
[0054] Specifically, it is also necessary to monitor the first verification result information for abnormalities in the product SKU information and extract the first abnormal verification result information when the verification fails.
[0055] Furthermore, the second verification result information is monitored for abnormalities in the product SKU information, and the second abnormal verification result information in which the verification fails is extracted.
[0056] Furthermore, the first abnormality verification result information at the production level and the second abnormality verification result information at the business level are combined to obtain verification abnormality information.
[0057] S105: Push the verification abnormality information to the alarm information.
[0058] Specifically, it is also necessary to verify the abnormal information to generate the alarm information and obtain abnormal alarm information.
[0059] Furthermore, semantic analysis is performed on the verification exception information to determine the specific abnormal attribute SKU information in the product SKU information.
[0060] Furthermore, specific abnormal attribute SKU information and abnormal alarm information are pushed to the staff's mobile terminal.
[0061] In one embodiment, an abnormal alarm mechanism is implemented in the background system to detect and notify abnormal situations. For example, if the scanned SKU is abnormal (failed business-level verification), an alarm can be triggered to notify relevant personnel or systems. The background system can also be integrated with various notification channels (such as text messages, hardware sound and light alarms, or push notifications). For example, if the verification abnormality information of the current product needs to be notified to the production personnel, a text message is sent to the production manager, triggering an alarm to prompt the staff to handle it, so as to ensure that the relevant personnel or systems are notified in time to handle the abnormal situation or alarm.
[0062] In addition, the embodiment of the present application also provides a product SKU-based information verification device, such as Figure 2 As shown, the product SKU-based information verification device 200 specifically includes:
[0063] At least one processor 201. And a memory 202 in communication with the at least one processor 201. The memory 202 stores instructions that can be executed by the at least one processor 201, so that the at least one processor 201 can execute:
[0064] Perform real-time data decoding on automatically uploaded product scan code data to obtain specific product SKU information;
[0065] Perform production-level verification on the specific product SKU information using the production line product SKU information to obtain first verification result information;
[0066] Based on the verification pass information in the first verification result information, perform business-level verification processing on the specific product SKU information to obtain second verification result information;
[0067] Performing product SKU abnormality monitoring on both the first verification result information and the second verification result information to determine verification abnormality information;
[0068] Verify abnormal information and push alarm information for processing.
[0069] This application can process a large number of barcode scanning requests quickly and accurately through automatic barcode scanning verification without relying on manual operation. This can improve work efficiency, save time and human resources. At the same time, automatic barcode scanning verification relies on computer vision technology and algorithms, which can accurately decode and identify barcode information, reducing the possibility of human error. In contrast, manual barcode scanning may be affected by factors such as lack of concentration, fatigue or misreading, resulting in incorrect identification and verification. Automatic barcode scanning verification can also immediately verify the scanned SKU and provide real-time feedback to the user based on the verification results. In this way, users can immediately know the SKU information and verification results without waiting for manual processing. Automatic barcode scanning verification can set up an abnormal alarm mechanism to promptly detect and notify relevant personnel or system administrators about abnormal situations, such as invalid SKUs or insufficient inventory. This allows appropriate measures to be taken quickly to prevent problems caused by incorrect products entering circulation or inventory shortages.
[0070] The various embodiments in this application are described in a progressive manner. Similar portions between the various embodiments can be referred to in conjunction with each other. Each embodiment focuses on the differences between the other embodiments. In particular, the device and medium embodiments are generally similar to the method embodiments, so their descriptions are relatively simple. For relevant portions, refer to the descriptions of the method embodiments.
[0071] The devices and media provided in the embodiments of the present application correspond one-to-one to the methods. Therefore, the devices and media also have similar beneficial technical effects to their corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the devices and media will not be repeated here.
[0072] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.
[0073] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the steps in the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.
[0074] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.
[0075] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.
[0076] In a typical configuration, a computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.
[0077] Memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.
[0078] Computer-readable media includes permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. The information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory computer-readable media (transitory media), such as modulated data signals and carrier waves.
[0079] It should also be noted that the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, commodity, or apparatus that includes a series of elements includes not only those elements but also other elements not explicitly listed, or includes elements inherent to such process, method, commodity, or apparatus. In the absence of further limitations, an element defined by the phrase "comprises a ..." does not exclude the presence of other identical elements in the process, method, commodity, or apparatus that includes the element.
[0080] The foregoing is merely an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application should all be included within the scope of the claims of the present application.
Claims
1. A method for verifying product SKU information, characterized in that: The method comprises: Perform real-time data decoding on automatically uploaded product scan code data to obtain specific product SKU information; Performing a production-level verification process on the specific product SKU information using the production line product SKU information to obtain first verification result information; Performing business-level verification processing on the specific product SKU information based on the verification pass information in the first verification result information to obtain second verification result information; Performing product SKU abnormality monitoring on both the first verification result information and the second verification result information to determine verification abnormality information; The verification abnormality information is processed as an alarm information push.
2. The information verification method based on commodity SKU according to claim 1, characterized in that: Perform real-time data decoding on automatically uploaded product scan code data to obtain specific product SKU information, including: The product to be scanned is scanned by an automatic barcode scanner behind the Internet of Things to obtain the product scanning data; and the product scanning data is uploaded to the barcode recognition service interface; Convert the product scanned code data into graphic data and perform format unification processing to obtain a QR code image; The two-dimensional code image is parsed and processed by computer vision technology, and the parsed attribute data is associated with the corresponding product in a tree structure to obtain the specific product SKU information of the current product.
3. The method for verifying product SKU information according to claim 1, characterized in that: The specific product SKU information is verified at the production level using the production line product SKU information to obtain first verification result information, specifically including: Query and obtain the SKU information of the production line product of the current product through the product inventory system; wherein the SKU information of the production line product is the product SKU information stored in the production level; The specific product SKU information is subjected to hierarchical splitting of attribute data to obtain a number of actual scanned attribute SKU information; According to the actual scanned attribute SKU information, the hierarchical attribute data in the production line product SKU information is compared and verified one by one to obtain the first verification result information of each attribute SKU information; wherein, the first verification result information includes: verification pass information and verification fail information.
4. The method for verifying product SKU information according to claim 3, characterized in that: If the first verification result information is the verification failure information, the attribute SKU information corresponding to the verification failure information is marked one by one to obtain a plurality of abnormal attribute SKU information; The abnormal attribute SKU information is stored in a table to obtain first abnormality verification result information.
5. The method for verifying product SKU information according to claim 1, wherein: According to the verification pass information in the first verification result information, the specific product SKU information is subjected to business-level verification processing to obtain second verification result information, which specifically includes: If the first verification result information is verification passed, a traceability query is performed on the specific product SKU information to obtain traceability query result information; wherein the traceability query result information includes: data storage traceability results of the commodity inventory system and product inventory traceability results of the offline warehouse; The historical product SKU information corresponding to the current product in the traceability query result information is verified item by item with the specific product SKU information to obtain the second verification result information; wherein the second verification result information includes: traceability verification pass information and traceability verification fail information.
6. The method for verifying product SKU information according to claim 5, characterized in that: If the second verification result information is the traceability verification failure information, extracting and processing the distinguishing attribute items between the historical product SKU information and the specific product SKU information to obtain historical attribute SKU information based on the historical product SKU information and current attribute SKU information based on the specific product SKU information; The historical attribute SKU information and the current attribute SKU information that correspond to each other are stored in a tabular form to obtain second abnormality verification result information.
7. The method for verifying product SKU information according to claim 1, characterized in that: Performing product SKU abnormality monitoring on both the first verification result information and the second verification result information to determine verification abnormality information specifically includes: Performing abnormal monitoring on the product SKU information on the first verification result information, and extracting the first abnormal verification result information when the verification fails; Performing abnormal monitoring on the product SKU information for the second verification result information, and extracting the second abnormal verification result information when the verification fails; The first abnormality verification result information at the production level and the second abnormality verification result information at the business level are combined to obtain the verification abnormality information.
8. The method for verifying product SKU information according to claim 1, characterized in that: The verification abnormality information is processed as an alarm information push, specifically including: Performing alarm information generation processing on the verification abnormality information to obtain abnormal alarm information; Perform semantic analysis on the verification exception information to determine the specific abnormal attribute SKU information in the product SKU information; The specific abnormal attribute SKU information and the abnormal alarm information are pushed to the staff's mobile terminal.
9. A product SKU-based information verification device, characterized in that: The device comprises: at least one processor; and, a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, so that the at least one processor can execute the product SKU-based information verification method according to any one of claims 1 to 8.
10. A non-volatile computer storage medium, characterized in that The storage medium is a non-volatile computer-readable storage medium, which stores at least one program. Each of the programs includes instructions, and when the instructions are executed by the terminal, the terminal executes the information verification method based on the product SKU according to any one of claims 1 to 8.