A transaction management system based on the entire life cycle of an order

Abstract

The present application relates to the field of foreign-related e-commerce technology, and specifically provides a transaction management system based on the entire life cycle of an order, an order demand management module: used to receive customer order applications and generate structured order information; an order fulfillment processing module: used to determine business scenarios and order configuration rules through structured order information, and formulate an order fulfillment supervision mechanism; an order delivery supervision module: used to perform logistics configuration and generate an order delivery management strategy based on the order fulfillment supervision mechanism; an order transaction management module: based on order fulfillment rules and order status, delivery management strategies, and corporate tax management rules, supports order splitting and associated transaction rule execution to perform order transaction management. The present invention not only focuses on the fulfillment and delivery of the factory, but also manages the fulfillment and delivery of customer contracts from a global end-to-end perspective, and assists users in quickly processing and maintaining orders.

Description

Technical Field

[0001] The present invention relates to the technical field of foreign-related e-commerce, and in particular to a transaction management system based on the entire life cycle of an order. Background Art

[0002] At present, with the global development of TOB manufacturing, international trade and import and export business are increasing, which brings greater challenges to the order management system (OMS). In the process of processing cross-border order transactions, the traditional OMS system has problems such as the order delivery business being separated from the transaction data, and being unable to support the full-process order transaction processing of OTC (Order To Cash) and the compliance of international trade; at the same time, the existing OMS system cannot quickly adapt and apply to business scenarios in different industries, such as the clean management of order requirements, the splitting and merging of orders in multiple fulfillment modes, or the lack of flexible configuration and multi-scenario adaptation of functional applications with industry characteristics, and cannot meet these complex business needs. In addition, the existing OMS system is also difficult to fully support issues such as customs compliance business involving import and export customs clearance business of different supply centers.

[0003] Therefore, providing a full life cycle order transaction management method and system to support transaction information and customs clearance services from customer contract signing to customer payment is a technical problem that needs to be solved urgently. Summary of the invention

[0004] The present invention provides a transaction management system based on the entire life cycle of an order, so as to solve the situation in the above-mentioned background technology.

[0005] A transaction management system based on the entire life cycle of an order, including:

[0006] Order demand management module: used to receive customer order applications and generate structured order information;

[0007] Order fulfillment processing module: used to determine business scenarios and order configuration rules through structured order information, and formulate order fulfillment supervision mechanism;

[0008] Order delivery supervision module: used to configure logistics and generate order delivery management strategies based on the order fulfillment supervision mechanism;

[0009] Order transaction management module: According to the order delivery management strategy, set order fulfillment rules, and conduct order status supervision and delivery management.

[0010] Order fulfillment rules and order status, delivery management strategies and corporate tax management policies support the implementation of order splitting and related transaction policies, and conduct order transaction management.

[0011] Preferably, the order demand management module includes:

[0012] Channel access unit: used to configure structure converters for different customers and integrate customer contracts;

[0013] Each structural converter corresponds to a customer channel;

[0014] Order terms modeling unit: used to generate a knowledge graph of order terms through integrated customer contract information and determine the order structure framework;

[0015] Customer behavior determination unit: used to obtain customer personalized needs, implant order structured framework, and generate order structured processing model;

[0016] Order structuring processing unit: The order structuring processing model is processed through visualization tools to generate a visual customer order management mechanism and structured order information.

[0017] Preferably, the order fulfillment processing module includes:

[0018] Differentiated configuration unit: used to determine the order scenario based on the structured order information, and configure the order fulfillment channel differently according to the order scenario;

[0019] Order generation management unit: used to configure order scenarios and rules through the order fulfillment channel to determine the optimal supply center for order products;

[0020] Order plan setting unit: used to determine the contract type and customer priority according to the structured order information, and formulate the full-cycle execution plan of the order based on the contract type and customer priority;

[0021] Order delivery tracking unit: used to determine the corresponding order fulfillment supervision mechanism according to the full cycle execution plan of the order; among them,

[0022] The order fulfillment supervision mechanism includes the order abnormality insight mechanism and the order execution management mechanism; among them,

[0023] The order execution management mechanism includes order digital authentication, order execution supervision and order execution processing.

[0024] Preferably, the order anomaly insight mechanism includes the following execution steps:

[0025] Build a node supervision model based on business processes and obtain order fulfillment data of different order nodes in real time;

[0026] Business processes are built based on the Six Sigma model;

[0027] The node supervision model consists of a definition layer, an analysis layer, an improvement layer, and a control layer. The definition layer is configured with an associated calculation model based on an abnormal matching mechanism, the analysis layer is configured with a risk marking script based on abnormal data, the improvement layer is configured with a strategy matching algorithm based on risk optimization, and the control layer is configured with order full-cycle improvement permissions;

[0028] The key computational model is configured with a curated amino acid database based on order characteristics;

[0029] The analysis layer is configured with a loss calculation function based on abnormal data analysis;

[0030] Through the node supervision model, the order fulfillment process is monitored for abnormalities, and the analysis and optimization decisions of order abnormality data are supported.

[0031] Preferably, the order execution management mechanism includes the following execution steps:

[0032] Collect fulfillment data of customer orders and build an initial knowledge graph of order fulfillment based on the full-cycle execution plan;

[0033] Through the initial knowledge graph, data association information of different order nodes is obtained;

[0034] Using data association information and the preset risk prediction model, a risk prediction model is constructed to compare with the initial knowledge graph;

[0035] Input real-time fulfillment data into the risk prediction model, compare data changes, and determine order risk factors.

[0036] Preferably, the order digital authentication mechanism includes the following generation steps:

[0037] In response to the order anomaly insight mechanism and order execution prediction mechanism, determine the risk parameters of each order node;

[0038] Determine the risk level of each supply node through risk parameters, and determine the encryption level in reverse order based on the risk level;

[0039] According to the encryption level, the preset number of keys is called and the risk parameters are integrated to generate multiple fusion encryption codes for each order node, and generate multiple digital order authentication mechanisms for the corresponding order nodes. (This part does not affect the protection scope of the patent and is not recommended to be deleted. It is just that the more comprehensive and more technical aspects of the patent, the better.)

[0040] Preferably, the order generation management unit is also configured with a concurrent processing mechanism, a database optimization mechanism, a privacy protection mechanism and a business expansion mechanism.

[0041] Preferably, the full-cycle execution plan includes the following execution steps:

[0042] Obtain the supply data of each supply node of the full-cycle execution plan and upload it to the system backend for storage;

[0043] According to the execution rules of the full-cycle execution plan, the supply data of each supply node is judged whether it is passed. The execution rules of the full-cycle execution plan are the supply management rules formulated for each supply node;

[0044] If approved, order execution optimization will be determined according to supply management rules;

[0045] Compare and analyze the supply data of each supply node with the data after order execution optimization and judgment to obtain project execution supervision information;

[0046] Implement full-cycle execution plan based on project execution supervision information and structured customer information.

[0047] Preferably, the order delivery supervision module includes:

[0048] Plan implementation unit: obtains the order execution process and supply nodes, and determines the real-time node status of each supply node;

[0049] Real-time node status includes: shipping node status, packaging node status, logistics node status and warehousing node status;

[0050] Customs clearance setting unit: used to determine the import and export entities and order amounts according to the real-time node status, and generate customs clearance strategies based on customs clearance rules;

[0051] Data integration unit: used to integrate shipment data and corresponding order shipment management strategies based on customs clearance strategies and customer-personalized shipping document templates.

[0052] Preferably, the order transaction management module includes:

[0053] Transaction management unit: used to obtain the customer's transaction path, determine the path nodes, and generate the node management mechanism of the path nodes;

[0054] Order splitting unit: used to determine the transaction amount of each path node according to the node management mechanism;

[0055] Transaction progress determination unit: used to calculate the transaction progress according to the order status and transaction path, determine the corresponding transaction progress, and manage the order transaction according to the transaction progress.

[0056] The beneficial effects of the present invention are:

[0057] Adopting the industry's advanced 4A architecture methodology, starting from the business capabilities, business scenarios and processes of order management, convergence outputs business activities from customer order placement to customer receipt and payment, and then corresponds to application functions, to achieve a system design method that integrates different business scenarios, scenarios into processes, and processes into IT;

[0058] Regarding the positioning and value of order management, order management is not only concerned with the fulfillment and delivery of the factory, but also with the overall end-to-end management of the fulfillment and delivery of customer contracts. On the one hand, it is necessary to align with the company's business objectives and provide data support and a visual platform for the company's order collection and collection. On the other hand, it automatically distributes orders to production companies and supports smooth transactions and customs compliance between related companies. In the era of internationalization, related transactions between companies are not only financial separation of business and independent completion, but also support business and financial integration and consistency of accounts and actuals through the integration of tax rules in the order management system, which safeguards the company's trade compliance and customs compliance.

[0059] Build support for operational data analysis, display and analyze order data through visualization tools and reports. At the same time, monitor key indicators such as order status, sales data, inventory status, etc. in real time, discover and solve problems in a timely manner, and improve decision-making efficiency and business insight.

[0060] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0061] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0063] Figure 1 A system composition diagram of a transaction management system based on the entire life cycle of an order in an embodiment of the present invention

[0064] Figure 2 It is a structural diagram of the loading platform actually implemented by the system in the embodiment of the present invention;

[0065] Figure 3 It is an implementation flow chart of the full-process cycle plan in an embodiment of the present invention. DETAILED DESCRIPTION

[0066] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0067] As attached Figure 1 As shown, this application proposes a transaction management system based on the entire life cycle of an order, including:

[0068] Order demand management module: used to receive customer order applications and generate structured order information;

[0069] Order fulfillment processing module: used to determine business scenarios and order configuration rules through structured order information, and formulate order fulfillment supervision mechanism;

[0070] Order delivery supervision module: used to configure logistics and generate order delivery management strategies based on the order fulfillment supervision mechanism;

[0071] Order transaction management module: According to the order delivery management strategy, set order fulfillment rules, and conduct order status supervision and delivery management.

[0072] During the specific implementation of this application, the order transaction management module will generate a delivery management strategy based on the order fulfillment rules, and adapt the enterprise tax management mechanism. Through these strategies, rules and mechanisms, order splitting and related transactions will be executed to achieve comprehensive order transaction management.

[0073] The principle of the above technical solution is:

[0074] This application is a transaction management system based on the entire life cycle of an order, which is used to support transaction information and customs clearance services in all links from customer contract signing to customer payment during cross-border trade;

[0075] The system of this application executes the full cycle management process of order processing, as shown in the attached Figure 2As shown, the client and the transaction end will be connected through the data link to realize data monitoring of the whole process. The customer's order application is processed through CIR (contract information demand management, integrating customer contract / PO demand information from the sales system / sales official website platform and other sales channels, and structuring the information terms (customer information, product information, terms information, etc.) into the system), generating structured processing of customer orders, collecting customer's special needs behavior habits, obtaining customer registration information, and structuring the contract terms. In the order fulfillment processing module. Through ORM (order fulfillment management, through the formulation of fulfillment plans, connecting customer needs and supply resources, directing the allocation of supply chain resources and orderly and smooth operation, and integrating customer transaction data, product cost data and tax transaction rules, etc., to ensure the consistency of physical flow, information flow and financial flow.) to process orders and generate order fulfillment supervision mechanisms, that is, full-cycle planning management and generation management of orders. The order delivery supervision module is used to supervise and manage orders, visualize delivery management and abnormal order information, and supervise the overall order process based on OCT (order delivery management, accepting order fulfillment plans and transaction data, directing the preparation of warehousing and logistics resources and supporting import and export customs clearance information). At the same time, through IOA (intelligent operation management, integrating data from various middle platforms, supporting the full process visualization of business data, abnormal reminders, output of operation reports and business analysis and decision-making), top-level decision analysis is realized and the back-end system is connected. The back-end system includes but is not limited to: Sales system (sales opportunity point management, contract signing and review systems, etc., commonly used systems such as CRM.CMS, etc.), ERP system (Enterprise Resource Planning, etc.), PDM system (product data management system, carrying basic product data such as BOM, coding, etc.), WMS system (Warehouse Management System, etc.) and TMS system (Transportation Management System). The order transaction management module is used to realize related amount management, pre-order management and transaction splitting and transaction completion status processing through the OTM mechanism (order transaction management, by integrating terms information, tax rules, transaction amount, cost information and other data, completing the advance processing of order transactions including related transactions, supporting the accuracy of transaction data and trade compliance).

[0076] Through the improvement of the above optimization ideas, the OMS system can better support the entire process of multi-factory global order transactions, improve transaction efficiency, data security and business flexibility. At the same time, the construction of this application system is based on the popular 4A architecture methodology and active order management concept in the industry, strengthens key order capabilities, introduces order cleaning, order distribution, related transactions and order visualization concepts, which can better meet complex business needs and improve system performance.

[0077] The beneficial effects of the above technical solution are:

[0078] Adopting the industry's advanced 4A architecture methodology, starting from the business capabilities, business scenarios and processes of order management, convergence outputs business activities from customer order placement to customer receipt and payment, and then corresponds to application functions, to achieve a system design method that integrates different business scenarios, scenarios into processes, and processes into IT;

[0079] The new definition of the positioning and value of order management, order management is not only concerned with the fulfillment and delivery of the factory, but also to manage the fulfillment and delivery of customer contracts from the global end-to-end. On the one hand, it is necessary to align with the company's business goals and provide data support and a visual platform for the company's order collection and collection. On the other hand, it automatically distributes orders to production companies and supports smooth transactions and customs compliance between related companies. In the era of internationalization, related transactions between companies are not only financial separation of business and independent completion, but also support business and financial integration and consistency of accounts and reality through the integration of tax rules in the order management system, which escorts the company's trade compliance and customs compliance.

[0080] Build support for operational data analysis, display and analyze order data through visualization tools and reports. At the same time, monitor key indicators such as order status, sales data, inventory status, etc. in real time, discover and solve problems in a timely manner, and improve decision-making efficiency and business insight.

[0081] Specifically, the order demand management module includes:

[0082] Channel access unit:

[0083] It is used to configure the structure converters of different customers and integrate customer contracts of different channels;

[0084] Each structural converter corresponds to a customer channel;

[0085] Order terms modeling unit: used to generate a knowledge graph of order terms through integrated customer contract information and determine the order structure framework;

[0086] Customer behavior determination unit: used to obtain customer personalized needs, implant order structured framework, and generate order structured processing model;

[0087] Order structuring processing unit: The order structuring processing model is processed through visualization tools to generate a visual customer order management mechanism and structured order information.

[0088] The principle and beneficial effects of the above technical solution are:

[0089] In terms of order management, this application innovatively configures a structure converter based on different customers. The structure converter corresponds to the unique channel of this customer and can assist each customer in building a unique order channel to supervise and manage the orders. Because of its uniqueness, the structure converter has the only transmission of order data and the only access of the customer, so the customer can be supervised individually to better ensure the completion of the customer's order. Moreover, it can also help customers convert order data and set up order supervision procedures without the need for order authentication, thereby reducing the risk of order data leakage.

[0090] In terms of demand management, the channel access unit supports various access methods through an interface converter, and automatically integrates customer contracts / POs. The order terms modeling unit models and represents information such as entities, relationships, and attributes in order terms by constructing a knowledge graph related to order terms. Using the reasoning and analysis capabilities of the knowledge graph, the order terms are deeply structured to extract potential semantic information and logical relationships. The customer behavior determination unit structures the customer's special needs and characteristics into the system. After the customer order is entered into the system, it is automatically loaded and passed to the corresponding supply link. The order structuring processing unit is used to store and manage the structured order terms data for subsequent data analysis and business processing. At the same time, data visualization tools can be used to display and analyze data to improve decision-making efficiency and business insight.

[0091] Specifically, the order fulfillment processing module includes:

[0092] Differentiated configuration unit: used to determine the order scenario based on the structured order information, and configure the order fulfillment channel differently according to the order scenario;

[0093] Order generation management unit: used to configure order scenarios and rules through the order fulfillment channel to determine the optimal supply center for order products;

[0094] Order plan setting unit: used to determine the contract type and customer priority according to the structured order information, and formulate the full-cycle execution plan of the order based on the contract type and customer priority;

[0095] Order delivery tracking unit: used to determine the corresponding order fulfillment supervision mechanism according to the full cycle execution plan of the order; among them,

[0096] The order fulfillment supervision mechanism includes the order abnormality insight mechanism and the order execution management mechanism; among them,

[0097] The order execution management mechanism includes order digital authentication, order execution supervision and order execution processing.

[0098] The principle and beneficial effects of the above technical solution are:

[0099] This application uses differentiated order fulfillment models based on different scenarios. Based on the business scenario characteristics of different industries and different customers, the corresponding business models are configured differently to fulfill orders more smoothly and efficiently; according to the business scenarios and related rule configurations, the orders are quickly and accurately allocated to the corresponding supply centers (factories) and the corresponding responsible persons. That is, based on the contract type, customer priority and the results of supply and demand matching, the order supply plan and order plan (demand plan / commitment plan) are formulated. The formulation of the order plan is an important part of the order execution process, which involves multiple aspects such as order priority, delivery date, inventory, etc. In order to ensure the timely delivery of orders and track delivery status information,

[0100] The beneficial effects of the above technical solution are:

[0101] This application integrates various business data such as planning, manufacturing, and procurement, so that orders can be tracked and monitored for exceptions during the delivery process. When abnormal delivery situations are detected, the corresponding processing mechanism is used to optimize the handling of order exceptions.

[0102] Specifically, the order anomaly insight mechanism includes the following execution steps:

[0103] Build a node supervision model based on business processes and obtain order fulfillment data of different order nodes in real time;

[0104] Business processes are built based on the Six Sigma model;

[0105] The node supervision model consists of a definition layer, an analysis layer, an improvement layer, and a control layer. The definition layer is configured with an associated calculation model based on an abnormal matching mechanism, the analysis layer is configured with a risk marking script based on abnormal data, the improvement layer is configured with a strategy matching algorithm based on risk optimization, and the control layer is configured with order full-cycle improvement permissions;

[0106] The key computational model is configured with a curated amino acid database based on order characteristics;

[0107] The analysis layer is configured with a loss calculation function based on abnormal data analysis;

[0108] Through the node supervision model, the order fulfillment process is monitored for abnormalities, and the analysis and optimization decisions of order abnormality data are supported.

[0109] The principle of the above technical solution is:

[0110] This application obtains order fulfillment data of different order nodes by constructing a node supervision model based on business processes. In the model, the Six Sigma model is used to build business processes, making the model efficient and accurate, and effectively monitoring business processes. In terms of business supervision, the Six Sigma model is mainly used to define different characteristics of orders, measure order data, analyze orders, improve orders, and control orders from multiple angles to achieve accurate and efficient detection of orders. In terms of fulfillment, whether there are business processes that do not meet the fulfillment requirements.

[0111] In the specific implementation process, the node supervision model is divided into four levels: definition layer, analysis layer, improvement layer and control layer. The task of the definition layer is to set the model structure and parameters, the analysis layer is responsible for processing data and identifying risks, the improvement layer adjusts the strategy according to the risk results, and the control layer is responsible for the actual operation control. The definition layer is equipped with an association calculation model based on the abnormal matching mechanism. This model can automatically find anomalies from the data and match them, so that we can find and solve abnormal problems in the first place. The analysis layer is equipped with a risk marking script based on abnormal data. This script can perform risk assessment based on the characteristics of abnormal data, so as to develop targeted risk response strategies for us. The improvement layer is equipped with a strategy matching algorithm based on risk optimization. This algorithm automatically selects the optimal strategy for optimization based on the effectiveness and cost-effectiveness of the strategy. The control layer has the authority to improve the entire order cycle and can effectively manage and control the operation of the entire model.

[0112] In addition, we have equipped the key calculation models with a management database based on order features. The management database can identify and assign values ​​to order features, making the model more intelligent and better able to adapt to various complex business environments. At the same time, the loss calculation function based on abnormal data analysis can more accurately determine the order risk corresponding to the abnormal data, thereby judging the possible risks of the order. Through the order abnormality insight mechanism, abnormal monitoring of the order fulfillment process is achieved, and abnormal data can be analyzed and optimized decisions can be provided, which improves the efficiency and quality of order fulfillment and reduces operating costs.

[0113] Specifically, the order execution management mechanism includes the following execution steps:

[0114] Collect fulfillment data of customer orders and build an initial knowledge graph of order fulfillment based on the full-cycle execution plan;

[0115] Through the initial knowledge graph, data association information of different order nodes is obtained;

[0116] Using data association information and the preset risk prediction model, a risk prediction model is constructed to compare with the initial knowledge graph;

[0117] Input real-time fulfillment data into the risk prediction model, compare data changes, and determine abnormal order risk factors.

[0118] The principle of the above technical solution is:

[0119] This application can track and manage the entire life cycle of an order, thereby ensuring the smooth execution and processing of the order at each stage. By automatically collecting and recording the customer's order information and building an initial knowledge graph for order fulfillment based on the order execution plan. This process can effectively integrate the various parts of the order to form a complete and orderly knowledge graph to determine whether there are any abnormalities in the fulfillment of the order or whether there is no fulfillment during the fulfillment process. Then, through the data association information in the knowledge graph, the correlation of the fulfillment data of different nodes of the order is determined, and combined with the preset risk prediction model, a one-way screening risk prediction model is constructed.

[0120] The one-way screening risk prediction model can predict the risk of a single data based on different performance data, thereby determining whether the performance data at each moment presents a risk and performing risk avoidance. The beneficial effects of the above technical solution are:

[0121] This application can perform one-way detection on the fulfillment data at each moment, but the one-way detection is a risk prediction model built based on the correlation between different order nodes, so it can determine whether each one-way data has risks in the overall model, and it can also determine whether there are risks in the real-time fulfillment data itself.

[0122] Specifically, the order digital authentication mechanism includes the following generation steps:

[0123] In response to the order anomaly insight mechanism and order execution prediction mechanism, determine the risk parameters of each order node;

[0124] Determine the risk level of each supply node through risk parameters, and determine the encryption level in reverse order based on the risk level;

[0125] According to the encryption level, the preset number of keys is called and the risk parameters are integrated to generate multiple fused encryption codes for each order node and generate a multiple order digital order authentication mechanism for the corresponding order node.

[0126] The principle of the above technical solution is:

[0127] This mechanism analyzes the risk parameters of each link of the order, so that it can encrypt the order in a targeted manner and improve the security and privacy of the data.

[0128] When generating the multi-fusion encryption code for each order node, the risk parameters of each order node will first be determined based on the results of the order anomaly insight mechanism and the order execution prediction mechanism. These parameters will be used for subsequent risk level classification and encryption level determination.

[0129] Through these risk parameters, we further determine the risk level of each supply node. In this process, we will take into account different factors, such as supplier credibility, market fluctuations, etc., to assign a suitable risk level to each supply node. This level will directly affect the encryption level we determine later.

[0130] Based on the encryption level and risk parameters, the preset number of keys is called. These keys will be the main encryption tools we use throughout the transaction process, and their security and strength directly affect the security of our data.

[0131] Finally, we deeply integrate these keys, risk parameters and information of each order node to generate a multi-fusion encryption code for each order node. This code will contain multiple levels of information, making the data more secure and private during transmission and storage.

[0132] The beneficial effects of the above technical solution are:

[0133] The multiple fusion encryption coding mechanism of this application can effectively help us manage the entire life cycle of orders and ensure the security and privacy of data. At the same time, because it integrates multiple factors, it also has high flexibility and scalability in practical applications.

[0134] Specifically, the order generation management unit is also configured with a concurrent processing mechanism, a database optimization mechanism, a privacy protection mechanism and a business expansion mechanism.

[0135] The principle of the above technical solution is:

[0136] The order generation management unit is the core part of the transaction management system. It is responsible for receiving various order information submitted by users and storing it in the database. At the same time, it classifies, reviews, and counts the orders to achieve intelligent management of orders.

[0137] The concurrent processing mechanism can be implemented by adopting multi-threading, locking mechanism and other technical means. When multiple users submit orders at the same time, the system will automatically split the order into several subtasks and assign them to different threads for processing. After processing its own subtask, each thread can try to obtain the lock mechanism to ensure that other threads will not modify or overwrite the submitted order.

[0138] The database optimization mechanism can be achieved by using indexing, caching, paging and other technical means. Indexing can help quickly locate the data records that need to be queried, and caching can cache hot data in memory to reduce the time to access the database. Paging can spread a large amount of data across multiple pages to increase the speed of data loading.

[0139] The privacy protection mechanism can be implemented by adopting technical means such as SSL / TLS protocol, symmetric encryption algorithm and asymmetric encryption algorithm. SSL / TLS protocol can encrypt and decrypt data to ensure the confidentiality and integrity of data; symmetric encryption algorithm and asymmetric encryption algorithm can realize the encrypted transmission of user information and prevent data leakage.

[0140] Business expansion mechanisms can be achieved through regular updates, adding new API interfaces, integrating third-party services, etc. New features and services can be launched in a timely manner according to user needs and market changes, such as adding product evaluation, recommendation, return and other functions to attract more users to use and purchase.

[0141] The beneficial effects of the above technical solution are:

[0142] By adopting technical means such as concurrent processing mechanism, database optimization mechanism, privacy protection mechanism and business expansion mechanism, intelligent management and efficient processing of the entire life cycle of orders are achieved, improving users' shopping experience and satisfaction.

[0143] Concurrent processing mechanism There may be concurrency when placing an order. The backend server needs to be able to handle concurrent requests to ensure the correctness and reliability of order processing.

[0144] The database optimization mechanism can optimize the database when order information needs to be stored in the database to improve storage and query efficiency.

[0145] The privacy protection mechanism ensures the security and privacy of data during the process of user order placement and back-end order processing, avoiding data leakage and attacks.

[0146] The business expansion mechanism can be expanded as the business scale continues to expand, and the back-end server needs to be scalable to meet the growing business needs.

[0147] Specifically, the full-cycle execution plan includes the following execution steps:

[0148] Obtain the supply data of each supply node of the full-cycle execution plan and upload it to the system backend for storage;

[0149] According to the execution rules of the full-cycle execution plan, the supply data of each supply node is judged whether it is passed. The execution rules of the full-cycle execution plan are the supply management rules formulated for each supply node;

[0150] If approved, order execution optimization will be determined according to supply management rules;

[0151] Compare and analyze the supply data of each supply node with the data after order execution optimization and judgment to obtain project execution supervision information;

[0152] Implement full-cycle execution plan based on project execution supervision information and structured customer information.

[0153] The principle of the above technical solution is:

[0154] As attached Figure 3 As shown, this application obtains the supply data of each supply node of the full-cycle execution plan and uploads it to the system background for storage. According to the actual supply situation of each supply node, subsequent order data analysis and optimization are carried out. Data sources include but are not limited to: warehouse management system, logistics company's transportation records, etc.

[0155] This application judges the supply data of each supply node according to the execution rules of the full-cycle execution plan to determine whether it passes the execution rules of the full-cycle execution plan. In this way, it is judged whether the supply node does not meet the target node of the full-cycle execution plan, as well as the abnormal node that does not meet the requirements. The execution rules of the full-cycle execution plan of this application have established unified supply management standards for each supply node, including but not limited to delivery time, quality standards, and prices, to ensure the accuracy of the supply chain.

[0156] If the supply data passes the judgment of the full-cycle execution plan execution rules, then it is necessary to optimize the order execution according to these rules to improve the efficiency and quality of order execution. It can also determine how to optimize, allocate, and adjust the order priority.

[0157] By comparing and analyzing the supply data of each supply node with the data after order execution optimization and judgment, we can obtain project execution supervision information, timely discover and solve abnormal problems in orders, and prevent the spread of abnormal problems.

[0158] Implement the full-cycle execution plan based on project execution supervision information and structured customer information. Apply the data and logic of the transaction management system to actual business to achieve real-time monitoring and management of the entire life cycle of orders.

[0159] The beneficial effects of the above technical solution are:

[0160] The present application can realize accurate control over the entire life cycle of an order, effectively improve the efficiency and quality of transactions, and reduce transaction costs. At the same time, the system design of the present invention is simple and clear, easy to operate and maintain, has good scalability and adaptability, and is suitable for enterprises of various sizes and types.

[0161] Preferably, the order delivery supervision module includes:

[0162] Plan implementation unit: obtains the order execution process and supply nodes, and determines the real-time node status of each supply node;

[0163] Real-time node status includes: shipping node status, packaging node status, logistics node status and warehousing node status;

[0164] Customs clearance setting unit: used to determine the import and export entities and order amounts according to the real-time node status, and generate customs clearance strategies based on customs clearance rules;

[0165] Data integration unit: used to integrate shipment data and corresponding order shipment management strategies based on customs clearance strategies and customer-personalized shipping document templates.

[0166] The principle and beneficial effects of the above technical solution are:

[0167] During the implementation of the full-cycle execution plan of this application, the plan implementation unit needs to take into account multiple aspects such as shipping plans, sorting and packaging, and order distribution, undertake the order fulfillment plan, refine the preparation of logistics resources based on the different status of the order, and direct the action plans of warehousing and logistics carriers; the customs clearance setting unit specifies the import and export entities, import and export amounts, etc. for orders involving imports and exports; the data integration unit customizes the shipping document template according to the needs of the enterprise, obtains order data from the order system through integration with the order system, and automatically generates shipping documents. Shipping documents can be archived and queried through the system, and shipping documents within a specific time period can also be queried through the system for business analysis and optimization.

[0168] Specifically, the order transaction management module includes:

[0169] Transaction management unit: used to obtain the customer's transaction path, determine the path nodes, and generate the node management mechanism of the path nodes;

[0170] Order splitting unit: used to determine the transaction amount of each path node according to the node management mechanism;

[0171] Transaction progress determination unit: used to calculate the transaction progress according to the order status and transaction path, determine the corresponding transaction progress, and manage the order transaction according to the transaction progress.

[0172] The principle and beneficial effects of the above technical solution are:

[0173] In the process of order management, the transaction management unit of this application splits the sales amount based on the splitting rules, and automatically splits the sales amount of each order from the contract entry system. At the same time, based on the different status of the order, it automatically generates the transaction amount and import and export amount between the affiliated companies, and generates a customs clearance plan; the order splitting unit is based on the tax-related transaction pricing rules, including the definition of the related transaction path, pricing model, etc., to generate the amount of the related sales order corresponding to each affiliated company, and perform specific business splitting of the order; the transaction progress determination unit completes the generation of the advance order of the affiliated company in advance based on the related transaction path and pricing rules, and at the same time, according to the company's specific business scenarios and the status of the order, pushes the advance order to the corresponding ERP account set, generates an ERP order, to support financial invoicing and collection, and determine the transaction progress.

[0174] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A transaction management system based on the entire life cycle of an order, characterized in that: include: Order demand management module: used to receive customer order applications and generate structured order information; Order fulfillment processing module: used to determine business scenarios and order configuration rules through structured order information, and formulate order fulfillment supervision mechanism; Order delivery supervision module: used to configure logistics and generate order delivery management strategies based on the order fulfillment supervision mechanism; Order transaction management module: according to the order delivery management strategy, set the order fulfillment rules, conduct order status supervision and delivery management; The order fulfillment processing module includes: Differentiated configuration unit: used to determine the order scenario based on the structured order information, and configure the order fulfillment channel differently according to the order scenario; Order generation management unit: used to configure order scenarios and rules through the order fulfillment channel to determine the optimal supply center for order products; Order plan setting unit: used to determine the contract type and customer priority according to the structured order information, and formulate the full-cycle execution plan of the order based on the contract type and customer priority; Order delivery tracking unit: used to determine the corresponding order fulfillment supervision mechanism according to the full cycle execution plan of the order; among them, The order fulfillment supervision mechanism includes the order abnormality insight mechanism and the order execution management mechanism; among them, The order execution management mechanism includes order digital authentication, order execution supervision and order execution processing; The order anomaly insight mechanism includes the following execution steps: Build a node supervision model based on business processes and obtain order fulfillment data of different order nodes in real time; Business processes are built based on the Six Sigma model; The node supervision model consists of a definition layer, an analysis layer, an improvement layer, and a control layer. The definition layer is configured with an associated calculation model based on an abnormal matching mechanism, the analysis layer is configured with a risk marking script based on abnormal data, the improvement layer is configured with a strategy matching algorithm based on risk optimization, and the control layer is configured with order full-cycle improvement permissions; The key computing model is configured with a management database based on order characteristics; The analysis layer is configured with a loss calculation function based on abnormal data analysis; Through the node supervision model, the order fulfillment process is monitored for abnormalities, and the analysis and optimization of order abnormality data are supported; The order execution management mechanism includes the following execution steps: Collect fulfillment data of customer orders and build an initial knowledge graph of order fulfillment based on the full-cycle execution plan; Through the initial knowledge graph, data association information of different order nodes is obtained; Using data association information and the preset risk prediction model, a one-way screening risk prediction model is constructed to compare with the initial knowledge graph; Input the real-time fulfillment data into the one-way screening risk prediction model, compare the data changes, and determine the order risk factors; The order digital authentication includes the following generation steps: In response to the order anomaly insight mechanism and order execution prediction mechanism, determine the risk parameters of each order node; Determine the risk level of each supply node through risk parameters, and determine the encryption level in reverse order based on the risk level; According to the encryption level, the preset number of keys is called and the risk parameters are integrated to generate multiple fused encryption codes for each order node and generate a multiple order digital order authentication mechanism for the corresponding order node.

2. A transaction management system based on the entire life cycle of an order as claimed in claim 1, characterized in that: The order demand management module includes: Channel access unit: used to configure structure converters for different customers and integrate customer contracts; Each structural converter corresponds to a customer channel; Order terms modeling unit: used to generate a knowledge graph of order terms through integrated customer contract information and determine the order structure framework; Customer behavior determination unit: used to obtain customer personalized needs, implant order structured framework, and generate order structured processing model; Order structuring processing unit: The order structuring processing model is processed through visualization tools to generate a visual customer order management mechanism and structured order information.

3. A transaction management system based on the entire life cycle of an order as claimed in claim 1, characterized in that: The order generation management unit is also configured with a concurrent processing mechanism, a database optimization mechanism, a privacy protection mechanism and a business expansion mechanism.

4. A transaction management system based on the entire life cycle of an order as claimed in claim 1, characterized in that: The full cycle execution plan includes the following execution steps: Obtain the supply data of each supply node of the full-cycle execution plan and upload it to the system backend for storage; According to the execution rules of the full-cycle execution plan, the supply data of each supply node is judged whether it is passed. The execution rules of the full-cycle execution plan are the supply management rules formulated for each supply node; If approved, order execution optimization will be determined according to supply management rules; Compare and analyze the supply data of each supply node with the data after order execution optimization and judgment to obtain project execution supervision information; Implement full-cycle execution plan based on project execution supervision information and structured customer information.

5. A transaction management system based on the entire life cycle of an order as claimed in claim 1, characterized in that: The order delivery supervision module includes: Plan implementation unit: obtains the order execution process and supply nodes, and determines the real-time node status of each supply node; Real-time node status includes: shipping node status, packaging node status, logistics node status and warehousing node status; Customs clearance setting unit: used to determine the import and export entities and order amounts according to the real-time node status, and generate customs clearance strategies based on customs clearance rules; Data integration unit: used to integrate shipment data and corresponding order shipment management strategies based on customs clearance strategies and customer-personalized shipping document templates.

6. A transaction management system based on the entire life cycle of an order as claimed in claim 1, characterized in that: The order transaction management module includes: Transaction management unit: used to obtain the customer's transaction path, determine the path nodes, and generate the node management mechanism of the path nodes; Order splitting unit: used to determine the transaction amount of each path node according to the node management mechanism; Transaction progress determination unit: used to calculate the transaction progress according to the order status and transaction path, determine the corresponding transaction progress, and manage the order transaction according to the transaction progress.

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