Methods and systems for processing logistics order data

Abstract

The present invention relates to the technical field of data processing, and discloses a method and system for processing logistics order data. The method for processing logistics order data comprises: receiving first logistics order data; performing data parsing on the first logistics order data based on a preset data parsing function to obtain logistics order parsing data; performing verification processing on the logistics order parsing data based on a preset data verification algorithm to obtain a verification processing result; performing qualification judgment on the verification processing result to obtain second logistics order data that has been verified to be qualified, and classifying and processing the second logistics order data that has been verified to be qualified to obtain second logistics order data that has been classified and processed; the present invention provides a comprehensive set of security encryption processing procedures for logistics order status update information, which not only ensures the security of information but also maintains the integrity of information.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a method and system for processing logistics order data. Background Art

[0002] With the rapid development of e-commerce, the order processing volume of the logistics industry has increased dramatically. The effective processing of logistics order data has become the key to improving logistics efficiency, reducing logistics costs, and ensuring customer satisfaction. The processing of logistics order data includes multiple links such as order reception, analysis, verification, classification, logistics resource allocation, and order status monitoring. Each link has a direct impact on the overall efficiency and quality of logistics services. At present, in order to cope with the massive amount of order data, most logistics companies have adopted information technology to realize the automated processing of order data.

[0003] At present, some logistics companies manage logistics order data by establishing a database-based order processing system. These systems usually include modules such as data reception, basic data verification, simple resource allocation, and status monitoring. In these existing technical solutions, although a certain degree of automated processing can be achieved, they mainly rely on predefined processes and fixed rules for order processing, lacking in-depth analysis and personalized processing of order data characteristics. The main technical defects of the existing technology are its low processing efficiency and lack of flexibility. First, the existing technology is usually unable to effectively analyze and fully verify the logistics order data, resulting in delays in the processing of erroneous order data or non-compliant order data, affecting logistics efficiency. Secondly, the existing technology lacks flexibility and intelligence in the allocation of logistics resources, and often cannot optimize the allocation according to the order data characteristics and real-time logistics resource status, which easily causes unbalanced resource allocation during peak periods, affecting delivery speed and service quality. Finally, due to the lack of effective order status monitoring and dynamic adjustment mechanism, it is difficult for the existing technology to quickly respond to problems arising in the logistics execution process, and it is impossible to ensure the timeliness and accuracy of order processing.

[0004] Therefore, there is an urgent need for a logistics order data processing method and system to solve the above-mentioned problems. Summary of the invention

[0005] The present invention provides a method and system for processing logistics order data, which are used to solve the problem of how to improve the processing efficiency of logistics order data and the intelligent level of allocation of logistics resources.

[0006] A first aspect of the present invention provides a method for processing logistics order data, the method for processing logistics order data comprising:

[0007] Receive first logistics order data; wherein the first logistics order data at least includes order number information, logistics company information, recipient information, sender information and item information;

[0008] Based on a preset data analysis function, the first logistics order data is analyzed to obtain logistics order analysis data; based on a preset data verification algorithm, the logistics order analysis data is verified to obtain a verification result;

[0009] Performing qualification judgment on the verification processing result to obtain second logistics order data that has passed the verification, and classifying the second logistics order data that has passed the verification to obtain second logistics order data that has undergone classification processing;

[0010] Based on the classified second logistics order data, determine the processing flow and delivery route of the logistics order, and allocate necessary logistics resources to generate third logistics order data; wherein the necessary logistics resources at least include transportation tools, delivery personnel and logistics center resources;

[0011] The third logistics order data is sent to a corresponding logistics execution system, and the order processing status of the third logistics order data by the logistics execution system is monitored to obtain an order status feedback result, and the allocation of logistics resources is adjusted according to the order status feedback result.

[0012] Optionally, in a first implementation of the first aspect of the present invention, performing data parsing on the first logistics order data based on a preset data parsing function to obtain logistics order parsed data includes:

[0013] Obtaining a preset data parsing function; wherein the preset data parsing function at least includes an order number parsing function, a logistics information parsing function, a consignee and sender information parsing function, and an item information parsing function;

[0014] Based on the order number parsing function, performing a first parsing on the first logistics order data to obtain order number information;

[0015] Based on the logistics information parsing function, performing a second analysis on the first logistics order data to obtain logistics company information;

[0016] Based on the sending and receiving information parsing function, the first logistics order data is subjected to a third parsing to obtain the recipient information and the sender information;

[0017] Based on the item information parsing function, the first logistics order data is subjected to a fourth parsing to obtain item information; wherein the item information at least includes item type, weight, and volume size;

[0018] The order number information, the logistics company information, the recipient information, the sender information, and the item information are formatted and aggregated to obtain logistics order parsing data.

[0019] Optionally, in a second implementation of the first aspect of the present invention, the verification processing of the logistics order parsing data based on a preset data verification algorithm to obtain a verification processing result includes:

[0020] The logistics order parsing data is classified to obtain first logistics data and second logistics data; the first logistics data at least includes basic information data of the logistics order; the second logistics data at least includes item data; the first logistics data and the second logistics data are used to manage and verify the logistics order parsing data;

[0021] Establishing a first logistics data verification framework between the first logistics data and the preset target logistics order basic information data based on a preset first logistics data verification algorithm;

[0022] Establishing a second logistics data verification framework between the second logistics data and the preset target item data based on a preset second logistics data verification algorithm;

[0023] A multi-level data verification framework for logistics order parsing data is constructed according to the first logistics data verification framework and the second logistics data verification framework; wherein the data verification framework is constructed based on a preset data verification algorithm; the preset data verification algorithm at least includes a preset first logistics data verification algorithm and a preset second logistics data verification algorithm;

[0024] By constructing a data verification framework of the obtained multi-level logistics order parsing data, the logistics order parsing data is verified and processed to obtain a verification processing result.

[0025] Optionally, in a third implementation of the first aspect of the present invention, classifying the verified qualified second logistics order data to obtain the classified second logistics order data includes:

[0026] Based on a preset first classification rule base, the item types in the second logistics order data are classified to obtain a first classification result; wherein the first classification result at least includes fragile items, liquid items, electronic products, and daily necessities;

[0027] Based on a preset second classification rule base, the logistics order destination areas in the second logistics order data are divided to obtain a second classification result;

[0028] Based on the first classification result and the second classification result, the priorities of the logistics orders are sorted to obtain the second logistics order data after classification.

[0029] Optionally, in a fourth implementation of the first aspect of the present invention, the third logistics order data includes at least logistics order processing flow information, delivery route information, logistics resource allocation information and item estimated arrival time information.

[0030] Optionally, in a fifth implementation of the first aspect of the present invention, after the step of obtaining the order status feedback result, the following steps are included:

[0031] Based on the preset information segmentation rules, the order status feedback result is segmented to obtain a first information segment, a second information segment, and a third information segment; wherein the first information segment at least includes basic identification information of the logistics order; the second information segment at least includes status update information of the logistics order; and the third information segment at least includes sensitive information of the logistics order;

[0032] Using a dedicated encryption protocol that has been preset and stored in a database, encrypt the obtained first information segment to generate a first encryption result;

[0033] Extracting features from the first encryption result to obtain a key feature field, and querying a database for a parameter value corresponding to the key feature field; wherein the parameter value is used to describe encryption standards including different security levels;

[0034] Determine a corresponding encryption strategy based on the parameter value, and encrypt the second information segment based on the encryption strategy to obtain a second encryption result;

[0035] Based on a preset symmetric key mechanism, symmetric encryption is performed on the second encryption result to generate a corresponding security key;

[0036] Performing final encryption processing on the third information segment using the security key to obtain a third encryption result; wherein the third encryption result is used to ensure the security and integrity of the entire logistics order status update feedback information;

[0037] According to the preset data integration protocol, the first encryption result, the second encryption result and the third encryption result are integrated to form a comprehensive encrypted order status feedback result.

[0038] A second aspect of the present invention provides a system for processing logistics order data, the system for processing logistics order data comprising:

[0039] A receiving module, used to receive first logistics order data; wherein the first logistics order data at least includes order number information, logistics company information, recipient information, sender information and item information;

[0040] A processing module, configured to perform data analysis on the first logistics order data based on a preset data analysis function to obtain logistics order analysis data; and perform verification processing on the logistics order analysis data based on a preset data verification algorithm to obtain a verification processing result;

[0041] A classification module is used to make a qualification judgment on the verification processing result to obtain the second logistics order data that has passed the verification, and to classify the second logistics order data that has passed the verification to obtain the second logistics order data after the classification processing;

[0042] A generation module is used to determine the processing flow and delivery route of the logistics order based on the second logistics order data after classification, and allocate necessary logistics resources to generate third logistics order data; wherein the necessary logistics resources at least include transportation tools, delivery personnel and logistics center resources;

[0043] The monitoring module is used to send the third logistics order data to the corresponding logistics execution system, and monitor the order processing status of the third logistics order data by the logistics execution system, obtain the order status feedback result, and adjust the allocation of logistics resources according to the order status feedback result.

[0044] The third aspect of the present invention provides a logistics order data processing device, comprising: a memory and at least one processor, wherein the memory stores instructions; the at least one processor calls the instructions in the memory so that the logistics order data processing device executes the above-mentioned logistics order data processing method.

[0045] A fourth aspect of the present invention provides a computer-readable storage medium, in which instructions are stored, and when the computer-readable storage medium is run on a computer, the computer executes the above-mentioned method for processing logistics order data.

[0046] In the technical solution provided by the present invention, the beneficial effects are as follows: the present invention provides a method and system for processing logistics order data, by receiving first logistics order data; based on a preset data parsing function, performing data parsing on the first logistics order data to obtain logistics order parsing data; based on a preset data verification algorithm, performing verification processing on the logistics order parsing data to obtain a verification processing result; performing qualification judgment on the verification processing result to obtain a second logistics order data that is verified to be qualified, and classifying and processing the second logistics order data that is verified to be qualified to obtain the second logistics order data after classification processing; based on the second logistics order data after classification processing, determining the processing flow and distribution route of the logistics order, and allocating necessary logistics resources to generate third logistics order data; sending the third logistics order data to the corresponding logistics execution system, and monitoring the order processing status of the third logistics order data by the logistics execution system, obtaining an order status feedback result, and adjusting the allocation of logistics resources according to the order status feedback result. The present invention significantly improves the processing efficiency of logistics order data and the intelligent level of logistics resource allocation by introducing advanced data processing technology and intelligent algorithms. First, by deeply analyzing and comprehensively verifying the logistics order data based on the preset data parsing function and data verification algorithm, it is possible to quickly and accurately identify and process erroneous or non-compliant order data, greatly improving the accuracy and efficiency of logistics order processing. Secondly, the present invention realizes a resource allocation plan optimized according to order characteristics and real-time logistics resource status through classified processing and intelligent analysis of order data, effectively improving the utilization rate of logistics resources and shortening delivery time. Finally, with the help of dynamic order status monitoring and feedback mechanism, the present invention can adjust the allocation of logistics resources in a timely manner to ensure the efficiency and reliability of logistics services. The present invention provides an efficient, intelligent and flexible order data processing solution for the modern logistics industry, which helps logistics companies to further improve their service quality and market competitiveness. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 A schematic diagram of an embodiment of a method for processing logistics order data in an embodiment of the present invention;

[0048] Figure 2 The figure is a schematic diagram of an embodiment of a system for processing logistics order data in an embodiment of the present invention. DETAILED DESCRIPTION

[0049] An embodiment of the present invention provides a method and system for processing logistics order data. The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "including" or "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0050] For ease of understanding, the specific process of the embodiment of the present invention is described below. Figure 1 An embodiment of a method for processing logistics order data in an embodiment of the present invention includes:

[0051] Step 101, receiving first logistics order data; wherein the first logistics order data at least includes order number information, logistics company information, recipient information, sender information and item information;

[0052] It is understandable that the execution subject of the present invention may be a logistics order data processing system, or a terminal or a server, which is not limited here. The embodiment of the present invention is described by taking the server as the execution subject as an example.

[0053] Specifically, step 101: receiving first logistics order data

[0054] Data reception preparation:

[0055] Establish a data receiving system for receiving first logistics order data to ensure that the system is capable of receiving, storing and processing large amounts of order data.

[0056] Determine the data receiving format and ensure that necessary information such as order number information, logistics company information, recipient information, sender information and item information are transmitted in the specified format.

[0057] Receive order data:

[0058] The order data from the first logistics is imported into the system through the logistics management system or interface.

[0059] Ensure the completeness and accuracy of order data, including order number, logistics company information, recipient information, sender information and item information without omissions or errors.

[0060] Data processing and storage:

[0061] The received order data is processed in real time to extract key information such as order number, logistics company information, recipient information, sender information and item information.

[0062] The processed order data is stored in the database for query and tracking during subsequent logistics transportation.

[0063] Step 102: Based on a preset data analysis function, the first logistics order data is analyzed to obtain logistics order analysis data; based on a preset data verification algorithm, the logistics order analysis data is verified to obtain a verification result;

[0064] Specifically, step 102: data analysis and verification processing

[0065] Data analysis:

[0066] Design and implement a preset data parsing function to parse the first logistics order data, extract various information in the order data such as order number, logistics company information, recipient information, sender information and item information, and convert them into a processable data structure.

[0067] Ensure that the data parsing function can correctly parse various order data formats and accurately extract the required information, such as matching different forms of data through regular expressions.

[0068] Logistics order analysis data processing:

[0069] Combined with the data output by the parsing function, the logistics order parsing data is generated, and the extracted order number, logistics company information, recipient information, sender information and item information are converted into a unified data format to facilitate subsequent processing and analysis.

[0070] The parsed data is stored in the data storage system to ensure the reliability and accessibility of the data.

[0071] Data verification process:

[0072] Develop a data verification algorithm to verify the logistics order parsing data based on pre-set verification rules and verification conditions, and check the integrity, accuracy and consistency of the order data.

[0073] The parsed data is verified one by one according to each verification rule in the verification algorithm, for example, whether the recipient information contains valid phone number and address information.

[0074] Verification processing results are generated:

[0075] A verification report is generated based on the results of the data verification process, which clearly identifies the data that meets the standards and the abnormal data that needs to be corrected, and is provided to the relevant departments or systems for further processing and decision-making.

[0076] The specific location and error type of the original erroneous data are marked in the verification processing results to facilitate data correction and error location.

[0077] Step 103: performing qualification judgment on the verification processing result to obtain the second logistics order data that has passed the verification, and classifying the second logistics order data that has passed the verification to obtain the second logistics order data after classification;

[0078] Specifically, step 103: Verification result qualification judgment and classification processing

[0079] Eligibility judgment:

[0080] The verification results are judged for eligibility, and technical means such as consistency verification and logical verification are used to confirm whether the data meets specific standards and specifications.

[0081] By performing a qualification judgment, it is determined whether the second logistics order data meets the verification criteria and can enter the next classification processing stage.

[0082] Second logistics order data classification processing:

[0083] The verified qualified second logistics order data will be classified and processed for subsequent management and analysis.

[0084] According to order attributes, logistics methods, regions and other characteristics, the second logistics order data is divided into different categories, such as express service orders, freight orders, same-city delivery orders, etc.

[0085] Second logistics order data processing after classification:

[0086] The classified second logistics order data is further processed, such as marking classification information, updating order status, setting delivery priority, etc.

[0087] Create an index or association relationship for each category of order data to facilitate subsequent query and management operations.

[0088] Step 104: Based on the classified second logistics order data, determine the processing flow and delivery route of the logistics order, allocate necessary logistics resources, and generate third logistics order data; wherein the necessary logistics resources at least include transportation tools, delivery personnel, and logistics center resources;

[0089] Specifically, step 104: logistics order processing process planning and resource allocation

[0090] Determine the processing flow and delivery route:

[0091] According to the attributes and requirements of the second logistics order data after classification, formulate the processing flow and distribution route of the logistics order, including order processing sequence, distribution route planning, distribution node setting, etc.

[0092] Use logistics planning software or algorithms to optimize delivery routes to reduce transportation costs and shorten delivery times.

[0093] Allocate necessary logistics resources:

[0094] Make necessary logistics resource allocation based on the generated third-party logistics order data.

[0095] Allocate transportation tools, such as trucks, airplanes, ships, etc., and make reasonable choices based on order characteristics and destinations.

[0096] Assign delivery personnel and arrange an appropriate number of delivery personnel to carry out delivery tasks based on the order quantity, delivery range and time requirements.

[0097] Allocate logistics center resources, including storage facilities, loading and unloading equipment, etc., to support centralized management and scheduling of orders.

[0098] Generate third-party logistics order data:

[0099] Combined with the processing flow planning and resource allocation results, third-party logistics order data is generated, including order information, delivery routes, delivery personnel information, etc.

[0100] The third-party logistics order data is stored in the logistics management system to ensure the integrity and traceability of the order data.

[0101] Carry out logistics and distribution tasks:

[0102] Arrange delivery tasks and start the logistics delivery process based on third-party logistics order data.

[0103] Monitor the logistics and delivery process, track the order status and delivery progress in real time, and ensure that the delivery task is completed on time and achieves the expected results.

[0104] Step 105: Send the third logistics order data to the corresponding logistics execution system, monitor the order processing status of the third logistics order data by the logistics execution system, obtain the order status feedback result, and adjust the allocation of logistics resources according to the order status feedback result.

[0105] Specifically, step 105: Logistics execution system monitoring and resource allocation adjustment

[0106] Send third-party logistics order data to the logistics execution system:

[0107] The generated third-party logistics order data is sent to the logistics execution system to ensure that the order information is accurately transmitted to the actual execution link.

[0108] Use logistics interfaces or data integration tools to quickly transfer and synchronize order data.

[0109] Monitor the order processing status of the logistics execution system:

[0110] Real-time monitoring of the processing status of third-party logistics order data by the logistics execution system, including the progress of each stage such as order receipt, sorting, loading, and distribution.

[0111] Utilize the monitoring function or data analysis tools of the logistics management system to track and analyze the order processing status.

[0112] Obtaining order status feedback results:

[0113] According to the monitoring results, the order status feedback results of the logistics execution system on the third-party logistics order data are obtained, including whether the order has been processed, processing progress, abnormal situations and other information.

[0114] Compare order status feedback results with expected targets to identify problems and bottlenecks in the order processing process.

[0115] Adjust resource allocation based on order status feedback results:

[0116] Based on order status feedback results and monitoring data, the allocation of logistics resources is adjusted to optimize the logistics execution process and improve efficiency.

[0117] Adjust the scheduling of transportation tools, reallocate the tasks of delivery personnel, optimize the utilization of logistics center resources, and other operations to better meet the actual needs of order processing.

[0118] Another embodiment of the method for processing logistics order data in the embodiment of the present invention includes:

[0119] The step of performing data parsing on the first logistics order data based on a preset data parsing function to obtain logistics order parsed data includes:

[0120] Obtaining a preset data parsing function; wherein the preset data parsing function at least includes an order number parsing function, a logistics information parsing function, a consignee and sender information parsing function, and an item information parsing function;

[0121] Based on the order number parsing function, performing a first parsing on the first logistics order data to obtain order number information;

[0122] Based on the logistics information parsing function, performing a second analysis on the first logistics order data to obtain logistics company information;

[0123] Based on the sending and receiving information parsing function, the first logistics order data is subjected to a third parsing to obtain the recipient information and the sender information;

[0124] Based on the item information parsing function, the first logistics order data is subjected to a fourth parsing to obtain item information; wherein the item information at least includes item type, weight, and volume size;

[0125] The order number information, the logistics company information, the recipient information, the sender information, and the item information are formatted and aggregated to obtain logistics order parsing data.

[0126] Specific, important term explanation:

[0127] Data parsing function: A programmatic method for extracting structured information from raw data. It converts data formats according to predetermined rules for different data contents, such as order numbers, logistics information, etc.

[0128] Logistics order data: refers to the data containing order details generated during the logistics management process, usually including order number, logistics company information, sender and consignee information, and item information.

[0129] Formatting: Converting data into a format that is easier to read and analyze, usually including adjusting the data structure, standardizing data representation, etc.

[0130] Aggregation processing: The process of combining multiple data items into one data set to facilitate unified management and analysis of the data.

[0131] Application scenarios:

[0132] This technical solution is mainly applicable to logistics management systems, especially in situations where large-scale logistics order data is processed. By efficiently and accurately parsing the original order data and converting it into structured information, this technical solution can provide data support for logistics companies, including order tracking, cargo management, customer service, and data analysis. In addition, this method is also widely used in scenarios such as e-commerce platforms and supply chain management systems that require accurate processing of logistics information.

[0133] Further refinement of the technical solution:

[0134] Design of preset data parsing functions: First, design a set of data parsing function libraries, including functions for parsing order numbers, logistics information, consignor and sender information, and item information. The parsing function can process logistics order data of different formats and sources and extract key information.

[0135] Logistics order data analysis process:

[0136] Process the logistics order data through the order number parsing function to extract the unique identifier of each order, that is, the order number information;

[0137] Apply the logistics information parsing function to further parse the data and obtain detailed information about the logistics service provider;

[0138] Use the sender and receiver information parsing function to extract the sender and receiver's relevant information from the data, including name, address, etc.

[0139] Finally, the item information parsing function is used to identify the detailed specifications of the items in the order, such as type, weight, and size.

[0140] Data processing and aggregation: All key information obtained from the above analysis (order number, logistics company information, consignee and sender information, item information) is formatted to ensure data consistency and accuracy. Then, this information is aggregated and integrated into a structured logistics order analysis data set for subsequent storage, query and analysis.

[0141] Beneficial effects of the technical solution derivation:

[0142] Improve data processing efficiency: Through automated data parsing functions, key information can be quickly and accurately extracted, which greatly reduces the time and error rate of manual processing and improves the efficiency and quality of data processing.

[0143] Enhanced data availability: Converting disorganized raw data into structured information greatly enhances data availability, provides reliable data support for logistics management systems, helps optimize logistics processes, and improves customer service.

[0144] Facilitate data analysis and decision-making: Formatted and aggregated logistics order data provides a solid foundation for advanced data analysis and business intelligence decision-making, supporting logistics companies to make faster and more accurate strategic adjustments in the fiercely competitive market.

[0145] Enhance the adaptability and scalability of the system: The preset data analysis function library can be flexibly adjusted and expanded according to the needs of different scenarios, ensuring that the system can adapt to logistics order data processing in various complex situations and meet the needs of future business development.

[0146] Another embodiment of the method for processing logistics order data in the embodiment of the present invention includes: performing verification processing on the logistics order parsed data based on a preset data verification algorithm to obtain a verification processing result, including:

[0147] The logistics order parsing data is classified to obtain first logistics data and second logistics data; the first logistics data at least includes basic information data of the logistics order; the second logistics data at least includes item data; the first logistics data and the second logistics data are used to manage and verify the logistics order parsing data;

[0148] Establishing a first logistics data verification framework between the first logistics data and the preset target logistics order basic information data based on a preset first logistics data verification algorithm;

[0149] Establishing a second logistics data verification framework between the second logistics data and the preset target item data based on a preset second logistics data verification algorithm;

[0150] A multi-level data verification framework for logistics order parsing data is constructed according to the first logistics data verification framework and the second logistics data verification framework; wherein the data verification framework is constructed based on a preset data verification algorithm; the preset data verification algorithm at least includes a preset first logistics data verification algorithm and a preset second logistics data verification algorithm;

[0151] By constructing a data verification framework of the obtained multi-level logistics order parsing data, the logistics order parsing data is verified and processed to obtain a verification processing result.

[0152] Specific, important term explanation:

[0153] Data Validation Algorithm: A programmed method for checking and verifying the accuracy and completeness of data. It identifies inconsistencies or errors in the data by comparing it to expected results.

[0154] Logistics order basic information data: covers the basic elements of logistics orders, including order number, logistics company information, sender and consignee information, etc.

[0155] Item data: refers to the item details included in the logistics order, such as item type, weight, volume, etc.

[0156] Data Validation Architecture: A systematic validation framework for processing and checking different types of data. It ensures the accuracy and consistency of data based on pre-defined validation rules.

[0157] Application scenarios:

[0158] This technical solution is applicable to the verification and processing of logistics order data in logistics management systems. By accurately verifying the parsed order data, the correctness and integrity of the data are ensured, thereby optimizing the logistics process and improving the quality and efficiency of logistics services. This technical solution is particularly important for e-commerce platforms, logistics service providers and supply chain management systems that need to process a large number of orders and pursue high data accuracy.

[0159] Further refinement of the technical solution:

[0160] Data classification and initialization: The logistics order parsing data is divided into two categories: first logistics data (basic order information) and second logistics data (item details). This step facilitates subsequent targeted verification processing.

[0161] Build data validation architecture:

[0162] For the first logistics data (such as order number, logistics company information, consignee and sender information, etc.), the preset first logistics data verification algorithm is used to establish a verification framework with the target logistics order basic information data. This framework is designed to check the accuracy and completeness of the basic order information.

[0163] For the second logistics data (such as item type, weight, volume size, etc.), a preset second logistics data verification algorithm is used to establish a verification architecture with the target item data to ensure the correctness of the item information.

[0164] Multi-level data verification processing: Based on the first logistics and second logistics data verification architecture established above, a multi-level data verification system is constructed. This system runs according to the preset data verification algorithm and performs detailed verification processing on the logistics order analysis data layer by layer.

[0165] Verification and processing result acquisition: Through a multi-level data verification architecture, all logistics order analysis data is fully verified and processed. In the verification process, inconsistent or erroneous data are identified and marked. Finally, according to the verification results of the system, a corrected and highly reliable logistics order data is obtained.

[0166] Beneficial effects of the technical solution derivation:

[0167] Improve data accuracy: By accurately verifying logistics order data, data errors and inconsistencies can be effectively reduced, ensuring the accurate transmission of logistics information.

[0168] Enhanced logistics management efficiency: Verified and accurate data reduces delays and increased costs caused by data errors in the logistics process, and improves the efficiency of the entire logistics system.

[0169] Improve customer satisfaction: Ensure the accuracy and timeliness of logistics order information, be able to process order requirements in a timely and accurate manner, and improve customer satisfaction with logistics services.

[0170] Strengthen data management capabilities: This technical solution provides a systematic data verification architecture that can be used to monitor and improve logistics data management processes and enhance the company's capabilities in data processing and analysis.

[0171] Another embodiment of the method for processing logistics order data in the embodiment of the present invention includes: classifying and processing the verified qualified second logistics order data to obtain the classified second logistics order data, including:

[0172] Based on a preset first classification rule base, the item types in the second logistics order data are classified to obtain a first classification result; wherein the first classification result at least includes fragile items, liquid items, electronic products, and daily necessities;

[0173] Based on a preset second classification rule base, the logistics order destination areas in the second logistics order data are divided to obtain a second classification result;

[0174] Based on the first classification result and the second classification result, the priorities of the logistics orders are sorted to obtain the second logistics order data after classification.

[0175] Specific, important term explanation:

[0176] Second logistics order data: logistics order data that meets the requirements after preliminary verification, mainly including item details and order destination information.

[0177] Classification rule base: A set of preset rules used to logically classify data according to specific attributes (such as item type, destination area, etc.).

[0178] First classification result: the result after classification based on item type. Each category represents a specific item attribute (such as fragile items, liquid items, etc.).

[0179] Second classification result: Based on the classification processing results of the logistics order destination area, the orders are grouped according to different destination areas.

[0180] Application scenarios:

[0181] This technical solution is mainly applicable to logistics management systems, especially in logistics order management and scheduling decision-making. By classifying and processing logistics order data in detail, it is possible to optimize the allocation and scheduling of logistics resources, improve logistics efficiency and service quality. For example, in the fields of e-commerce, express delivery, warehousing and logistics, the refined management of logistics orders can significantly improve order processing speed and customer satisfaction.

[0182] Further refinement of the technical solution:

[0183] Classification and processing of logistics order data:

[0184] The second logistics order data obtained through preliminary screening is processed according to the preset first classification rule base. The item types are subdivided, such as the items are divided into fragile items, liquid items, electronic products, daily necessities, etc., to obtain the first classification result.

[0185] Next, based on the second classification rule base, the destination areas in the second logistics order data are classified, for example, divided into domestic areas and international areas, to obtain a second classification result.

[0186] Logistics order priority sorting:

[0187] Combining the first classification result with the second classification result, the logistics orders are further prioritized. For example, the orders may be prioritized according to the type of item and the urgency of the destination, ensuring that critical goods and long-distance orders are processed first.

[0188] Application of classified data:

[0189] The classified and processed second-level logistics order data will facilitate the logistics management system to carry out more targeted resource allocation and scheduling strategy formulation, such as setting up special packaging processes for fragile goods and arranging specific logistics routes for international orders.

[0190] Beneficial effects of the technical solution derivation:

[0191] Improve logistics processing efficiency: Through detailed classification processing, logistics order management is more efficient, and the most appropriate logistics plan can be adopted for different categories of goods and different destinations.

[0192] Optimize resource allocation: The classification results enable logistics resources (such as transportation tools, packaging materials, etc.) to be more reasonably allocated according to the specific circumstances of the order, thereby improving resource utilization.

[0193] Improve customer satisfaction: Through prioritization and targeted logistics solutions, urgent and high-value orders are given priority, improving customer service experience.

[0194] Enhance the flexibility and responsiveness of the logistics system: The classification results for various types of goods and destinations improve the logistics system's ability to respond to emergencies and enhance the system's flexibility in adapting to changing logistics needs.

[0195] Another embodiment of the method for processing logistics order data in the embodiment of the present invention includes: the third logistics order data at least includes logistics order processing flow information, delivery route information, logistics resource allocation information and item estimated arrival time information.

[0196] Another embodiment of the method for processing logistics order data in the embodiment of the present invention includes: after the step of obtaining the order status feedback result, it includes:

[0197] Based on the preset information segmentation rules, the order status feedback result is segmented to obtain a first information segment, a second information segment, and a third information segment; wherein the first information segment at least includes basic identification information of the logistics order; the second information segment at least includes status update information of the logistics order; and the third information segment at least includes sensitive information of the logistics order;

[0198] Using a dedicated encryption protocol that has been preset and stored in a database, encrypt the obtained first information segment to generate a first encryption result;

[0199] Extracting features from the first encryption result to obtain a key feature field, and querying a database for a parameter value corresponding to the key feature field; wherein the parameter value is used to describe encryption standards including different security levels;

[0200] Determine a corresponding encryption strategy based on the parameter value, and encrypt the second information segment based on the encryption strategy to obtain a second encryption result;

[0201] Based on a preset symmetric key mechanism, symmetric encryption is performed on the second encryption result to generate a corresponding security key;

[0202] Performing final encryption processing on the third information segment using the security key to obtain a third encryption result; wherein the third encryption result is used to ensure the security and integrity of the entire logistics order status update feedback information;

[0203] According to the preset data integration protocol, the first encryption result, the second encryption result and the third encryption result are integrated to form a comprehensive encrypted order status feedback result.

[0204] Specific, important term explanation:

[0205] Information segmentation rules: A set of predefined rules used to segment complex information into different information segments for specific processing or management.

[0206] Encryption Protocol: A set of standardized encryption methods and processes to ensure the security and integrity of data during transmission.

[0207] Symmetric key mechanism: An encryption algorithm that uses the same secret key for encryption and decryption, which supports confidential data transmission.

[0208] Security key: specific encryption information used to encrypt and decrypt data to ensure data security.

[0209] Application scenarios:

[0210] This technical solution is suitable for logistics management systems that require high security, especially in the processing and transmission of logistics order status update feedback information. It can be widely used in e-commerce platforms, cross-border logistics companies, sensitive goods transportation and other fields to protect logistics order information security, avoid sensitive information leakage, and enhance customer trust.

[0211] Further refinement of the technical solution:

[0212] Order status feedback information encryption processing:

[0213] First, according to the preset information segmentation rules, the order status feedback results are decomposed into three information segments: the first information segment contains the basic identification information of the logistics order; the second information segment contains the status update information of the logistics order; the third information segment involves sensitive information of the logistics order.

[0214] Multi-level encryption process:

[0215] The first information segment is encrypted using a dedicated encryption protocol pre-set in the database to generate a first encryption result.

[0216] Feature extraction is performed on the first encryption result, and a parameter value corresponding to the feature field is queried in the database, and the value determines encryption standards of different security levels.

[0217] The corresponding encryption strategy is determined according to the obtained parameter value, and then the second information segment is encrypted to obtain a second encryption result.

[0218] The preset symmetric key mechanism is used to further perform symmetric encryption on the second encryption result to generate a security key.

[0219] The third information segment is finally encrypted using this security key to ensure the security and integrity of the information.

[0220] Data integration of comprehensive encryption results:

[0221] According to the preset data integration protocol, the first, second and third encryption results are integrated to form a comprehensive encrypted order status feedback result. This result is not only highly secure, but also maintains the integrity of the information.

[0222] Beneficial effects of the technical solution derivation:

[0223] Improve information security: Through layer-by-layer encryption, the information security of logistics order status updates is effectively protected, reducing the risk of information leakage.

[0224] Enhance customer trust: A high-security information processing mechanism can enhance customer trust in the logistics platform, which is particularly important for the logistics management of sensitive items.

[0225] Optimize resource allocation: The classification results enable logistics resources (such as transportation tools, packaging materials, etc.) to be more reasonably allocated according to the specific circumstances of the order, thereby improving resource utilization.

[0226] Improve data management efficiency: Through standardized information segmentation and encryption processes, data management is more orderly and processing efficiency is improved.

[0227] The above describes the method for processing logistics order data in the embodiment of the present invention. The following describes the system for processing logistics order data in the embodiment of the present invention. Figure 2 An embodiment of a system for processing logistics order data in an embodiment of the present invention includes:

[0228] A receiving module, used to receive first logistics order data; wherein the first logistics order data at least includes order number information, logistics company information, recipient information, sender information and item information;

[0229] A processing module, configured to perform data analysis on the first logistics order data based on a preset data analysis function to obtain logistics order analysis data; and perform verification processing on the logistics order analysis data based on a preset data verification algorithm to obtain a verification processing result;

[0230] A classification module is used to make a qualification judgment on the verification processing result to obtain the second logistics order data that has passed the verification, and to classify the second logistics order data that has passed the verification to obtain the second logistics order data after the classification processing;

[0231] A generation module is used to determine the processing flow and delivery route of the logistics order based on the second logistics order data after classification, and allocate necessary logistics resources to generate third logistics order data; wherein the necessary logistics resources at least include transportation tools, delivery personnel and logistics center resources;

[0232] The monitoring module is used to send the third logistics order data to the corresponding logistics execution system, and monitor the order processing status of the third logistics order data by the logistics execution system, obtain the order status feedback result, and adjust the allocation of logistics resources according to the order status feedback result.

[0233] The present invention also provides a logistics order data processing device, which includes a memory and a processor, wherein computer-readable instructions are stored in the memory, and when the computer-readable instructions are executed by the processor, the processor executes the steps of the logistics order data processing method in the above-mentioned embodiments.

[0234] The present invention also provides a computer-readable storage medium, which may be a non-volatile computer-readable storage medium or a volatile computer-readable storage medium. Instructions are stored in the computer-readable storage medium. When the instructions are executed on a computer, the computer executes the steps of the method for processing logistics order data.

[0235] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0236] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art or the whole or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk and other media that can store program code.

[0237] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for processing logistics order data, characterized in that: The following steps are involved: Receive first logistics order data; wherein the first logistics order data at least includes order number information, logistics company information, recipient information, sender information and item information; Based on a preset data analysis function, the first logistics order data is analyzed to obtain logistics order analysis data; based on a preset data verification algorithm, the logistics order analysis data is verified to obtain a verification result; Performing qualification judgment on the verification processing result to obtain second logistics order data that has passed the verification, and classifying the second logistics order data that has passed the verification to obtain second logistics order data that has undergone classification processing; Based on the classified second logistics order data, determine the processing flow and delivery route of the logistics order, and allocate necessary logistics resources to generate third logistics order data; wherein the necessary logistics resources at least include transportation tools, delivery personnel and logistics center resources; Sending the third logistics order data to a corresponding logistics execution system, monitoring the order processing status of the third logistics order data by the logistics execution system, obtaining an order status feedback result, and adjusting the allocation of logistics resources according to the order status feedback result; wherein, based on the preset data parsing function, performing data parsing on the first logistics order data to obtain logistics order parsing data comprises: obtaining a preset data parsing function; wherein the preset data parsing function at least comprises an order number parsing function, a logistics information parsing function, a consignee and sender information parsing function, and an item information parsing function; based on the order number parsing function, performing a first parsing on the first logistics order data to obtain order number information; based on the logistics information parsing function, performing a second parsing on the first logistics order data to obtain logistics company information; based on the consignee and sender information parsing function, performing a third parsing on the first logistics order data to obtain consignee information and sender information; based on the item information parsing function, performing a fourth parsing on the first logistics order data to obtain item information; wherein the item information at least comprises item type, weight, and volume size; formatting and collectively processing the order number information, the logistics company information, the consignee information, the sender information, and the item information respectively to obtain logistics order parsing data; Wherein, based on the preset data verification algorithm, the logistics order parsing data is verified and processed to obtain the verification processing result, including: classifying the logistics order parsing data to obtain the first logistics data and the second logistics data; the first logistics data at least includes the logistics order basic information data; the second logistics data at least includes the item data; the first logistics data and the second logistics data are used to manage and verify the logistics order parsing data; based on the preset first logistics data verification algorithm, a first logistics data verification framework is established between the first logistics data and the preset target logistics order basic information data; based on the preset second logistics data verification algorithm, a second logistics data verification framework is established between the second logistics data and the preset target item data; according to the first logistics data verification framework and the second logistics data verification framework, a multi-level data verification framework for logistics order parsing data is constructed; wherein, the data verification framework is constructed based on the preset data verification algorithm; the preset data verification algorithm at least includes the preset first logistics data verification algorithm and the preset second logistics data verification algorithm; by constructing the obtained multi-level data verification framework for logistics order parsing data, the logistics order parsing data is verified and processed to obtain the verification processing result; Among them, the second logistics order data that has been verified to be qualified is classified and processed to obtain the second logistics order data after classification, including: based on a preset first classification rule base, the item types in the second logistics order data are divided to obtain a first classification result; wherein the first classification result at least includes fragile items, liquid items, electronic products, and daily necessities; based on a preset second classification rule base, the logistics order destination areas in the second logistics order data are divided to obtain a second classification result; based on the first classification result and the second classification result, the priorities of the logistics orders are sorted to obtain the second logistics order data after classification.

2. The method for processing logistics order data according to claim 1, characterized in that: The third logistics order data at least includes logistics order processing flow information, delivery route information, logistics resource allocation information and item estimated arrival time information.

3. The method for processing logistics order data according to claim 1, characterized in that: After getting the order status feedback result, the steps include: Based on the preset information segmentation rules, the order status feedback result is segmented to obtain a first information segment, a second information segment, and a third information segment; wherein the first information segment at least includes basic identification information of the logistics order; the second information segment at least includes status update information of the logistics order; and the third information segment at least includes sensitive information of the logistics order; Using a dedicated encryption protocol that has been preset and stored in a database, encrypt the obtained first information segment to generate a first encryption result; Extracting features from the first encryption result to obtain a key feature field, and querying a database for a parameter value corresponding to the key feature field; wherein the parameter value is used to describe encryption standards including different security levels; Determine a corresponding encryption strategy based on the parameter value, and encrypt the second information segment based on the encryption strategy to obtain a second encryption result; Based on a preset symmetric key mechanism, symmetric encryption is performed on the second encryption result to generate a corresponding security key; Performing final encryption processing on the third information segment using the security key to obtain a third encryption result; wherein the third encryption result is used to ensure the security and integrity of the entire logistics order status update feedback information; According to the preset data integration protocol, the first encryption result, the second encryption result and the third encryption result are integrated to form a comprehensive encrypted order status feedback result.

4. A logistics order data processing system, characterized in that: The logistics order data processing system includes: A receiving module, used to receive first logistics order data; wherein the first logistics order data at least includes order number information, logistics company information, recipient information, sender information and item information; A processing module, configured to perform data analysis on the first logistics order data based on a preset data analysis function to obtain logistics order analysis data; and perform verification processing on the logistics order analysis data based on a preset data verification algorithm to obtain a verification processing result; A classification module is used to make a qualification judgment on the verification processing result to obtain the second logistics order data that has passed the verification, and to classify the second logistics order data that has passed the verification to obtain the second logistics order data after the classification processing; A generation module is used to determine the processing flow and delivery route of the logistics order based on the second logistics order data after classification, and allocate necessary logistics resources to generate third logistics order data; wherein the necessary logistics resources at least include transportation tools, delivery personnel and logistics center resources; A monitoring module, used for sending the third logistics order data to a corresponding logistics execution system, and monitoring the order processing status of the third logistics order data by the logistics execution system, obtaining an order status feedback result, and adjusting the allocation of logistics resources according to the order status feedback result; wherein, based on the preset data parsing function, performing data parsing on the first logistics order data to obtain logistics order parsing data comprises: obtaining a preset data parsing function; wherein the preset data parsing function at least comprises an order number parsing function, a logistics information parsing function, a consignee and sender information parsing function, and an item information parsing function; based on the order number parsing function, performing a first parsing on the first logistics order data to obtain order number information; based on the logistics information parsing function, performing a second parsing on the first logistics order data to obtain logistics company information; based on the consignee and sender information parsing function, performing a third parsing on the first logistics order data to obtain consignee information and sender information; based on the item information parsing function, performing a fourth parsing on the first logistics order data to obtain item information; wherein the item information at least comprises item type, weight, and volume size; formatting and collectively processing the order number information, the logistics company information, the consignee information, the sender information, and the item information respectively to obtain logistics order parsing data; Wherein, based on the preset data verification algorithm, the logistics order parsing data is verified and processed to obtain the verification processing result, including: classifying the logistics order parsing data to obtain the first logistics data and the second logistics data; the first logistics data at least includes the logistics order basic information data; the second logistics data at least includes the item data; the first logistics data and the second logistics data are used to manage and verify the logistics order parsing data; based on the preset first logistics data verification algorithm, a first logistics data verification framework is established between the first logistics data and the preset target logistics order basic information data; based on the preset second logistics data verification algorithm, a second logistics data verification framework is established between the second logistics data and the preset target item data; according to the first logistics data verification framework and the second logistics data verification framework, a multi-level data verification framework for logistics order parsing data is constructed; wherein, the data verification framework is constructed based on the preset data verification algorithm; the preset data verification algorithm at least includes the preset first logistics data verification algorithm and the preset second logistics data verification algorithm; by constructing the obtained multi-level data verification framework for logistics order parsing data, the logistics order parsing data is verified and processed to obtain the verification processing result; Among them, the second logistics order data that has been verified to be qualified is classified and processed to obtain the second logistics order data after classification, including: based on a preset first classification rule base, the item types in the second logistics order data are divided to obtain a first classification result; wherein the first classification result at least includes fragile items, liquid items, electronic products, and daily necessities; based on a preset second classification rule base, the logistics order destination areas in the second logistics order data are divided to obtain a second classification result; based on the first classification result and the second classification result, the priorities of the logistics orders are sorted to obtain the second logistics order data after classification.

5. A logistics order data processing device, characterized in that: The logistics order data processing device includes: a memory and at least one processor, wherein instructions are stored in the memory; The at least one processor calls the instructions in the memory so that the logistics order data processing device executes the logistics order data processing method as described in any one of claims 1-3.

6. A computer-readable storage medium having instructions stored thereon, characterized in that: When the instruction is executed by the processor, the method for processing logistics order data as described in any one of claims 1-3 is implemented.

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