An event-driven cross-border e-commerce supply chain simulation system
Through an event-driven cross-border e-commerce supply chain simulation system, users can customize and build supply chain models, solving the challenges of inventory and cost prediction in cross-border e-commerce. This system achieves accurate simulation results and multi-dimensional data output, supporting financial management and cost optimization in cross-border e-commerce.
Patent Information
- Application Number
- CN202210987116.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-08-17
- Publication Date
- 2025-11-21
- Estimated Expiration
- 2042-08-17
AI Technical Summary
The cross-border e-commerce supply chain is complex and cash flow is tied up for a long time, making costs difficult to control. Existing technologies cannot provide accurate inventory and cost forecasts, which affects cross-border e-commerce sellers' cash management and cost optimization.
Design an event-driven cross-border e-commerce supply chain simulation system, including a model layer, a component layer, and a part layer. Users can customize components and parts, build supply chain models by dragging and dropping and setting attributes, and perform simulations using statistical formulas, providing inventory and cost statistics.
It enables cross-border e-commerce sellers to customize simulation results without needing in-depth technical knowledge, reduces the complexity of individual nodes, provides multiple data output formats, supports accurate inventory and cost forecasting for complex businesses, and helps formulate reasonable operational strategies.
Smart Images

Figure CN115358068B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The application belongs to the technical field of network, and particularly relates to a cross-border e-commerce supply chain simulation system based on event driving. BACKGROUND
[0002] The supply chain refers to a network structure formed by connecting members such as material suppliers, manufacturers, sellers and final consumers in the production and flow process of products. Unlike domestic e-commerce, cross-border e-commerce highlights the complexity of the logistics link and the relatively long logistics cycle due to its cross-border attribute, which further leads to the complexity of the cost, information and other dimensions, which are difficult to control. A typical cross-border e-commerce is that a cross-border seller purchases from a third-party supplier or produces by himself, supplements goods in China, and sends them to a departure warehouse through domestic logistics. In the departure warehouse, warehouse operators collect goods, and when the volume of goods reaches the expected value, the goods are sent to an overseas warehouse through international logistics, and the goods are transported to the destination warehouse. If a buyer places an order on the e-commerce platform, the destination warehouse operator will send the goods to the buyer through foreign express or foreign logistics.
[0003] In the whole process, the cross-border seller will make a sales forecast according to certain rules to make a procurement / production plan. From the plan making to the goods reaching the buyer, there will be a cycle of ten days to several months. The cross-border seller will have a certain amount of capital flow during this period. For the cross-border seller, the capital flow is very important, and he needs to know the capital occupation amount and the capital repayment period in advance. In addition, the cost of each service will be different in different scenarios, and the cross-border e-commerce seller also needs to know the maximum cost, the minimum cost and the average cost in advance.
[0004] In the whole process, unexpected factors such as buyer returns and unqualified goods inspection in the departure warehouse will also occur to a certain extent, and similar exceptions will also have a certain impact on the results of the whole plan. Especially when the cross-border e-commerce cost increases and the profit decreases, the reasonable planning of the cross-border e-commerce supply chain by the cross-border e-commerce seller is particularly important. SUMMARY
[0005] To solve the above-mentioned existing problems, the application provides a cross-border e-commerce supply chain simulation system based on event driving, which can predict the inventory and capital occupation of each logistics node under certain conditions, and supports the cross-border e-commerce seller to define some dimensions that he is more concerned about at a higher level, such as the income of the buyer purchase part, the cost of each commodity from the procurement / production link to the buyer purchase whole process and the final profit of each commodity, so that the cross-border e-commerce seller can reasonably plan the commodity supply chain and develop the most suitable operation strategy.
[0006] The technical scheme adopted by the present application is as follows: The present application is based on an event-driven cross-border e-commerce supply chain simulation system, which comprises a model layer, an assembly layer, an element layer and a statistical layer. The model layer comprises a cross-border supply chain simulation model. The system designs rich elements and assemblies required by a common cross-border e-commerce supply chain. A user generates a required assembly by calling an assembly provided by the system or assembling elements according to his / her own needs. A mutual influence relationship is established through the assembly, and a complete cross-border supply chain simulation model is obtained. The cross-border supply chain simulation model is run, and simulation statistical data can be obtained according to a set statistical formula. The inventory and cost statistics of each logistics node are statistically defaulted, and a user can also write a simulation data statistical formula according to each parameter in the cross-border supply chain simulation model according to his / her own needs.
[0007] Further, the model layer is a link generated by a user according to his / her own business scenario, through series connection of mutual assemblies and establishment of a mutual influence relationship.
[0008] Further, the assembly layer is a device based on element assembly and carrying a business relationship.
[0009] Further, the element layer is a basic unit set that can be used by the cross-border e-commerce supply chain simulation system.
[0010] Further, the present application also comprises a cross-border supply chain simulation model operation step:
[0011] Step one: A user enters a link of a cross-border e-commerce supply chain simulation platform through a browser, enters a cross-border supply chain simulation model building interface, and the cross-border supply chain simulation model building interface mainly comprises three areas: an assembly / element area, a workbench area and an attribute setting area. The assembly / element area provides assemblies or elements required by a user. The workbench area is an area where a user operates a cross-border supply chain simulation model. The attribute setting area is an area where a user sets attributes of an assembly or an element.
[0012] Step two: A user can encapsulate a required assembly according to provided elements. After the required assembly and elements meet the needs, the user drags the assembly or the element to the workbench area, connects them in a certain order according to their mutual influence relationship, and clicks a specific assembly or element to edit or add its attributes in the attribute setting area.
[0013] Step three: After the cross-border supply chain simulation model is built, a simulation formula is set. The present application defaults to take a day as a simulation time interval, i.e., the minimum time interval for simulation running is one day. The present application will default to give a simulation result line chart for the inventory and cost dimensions most concerned by a cross-border e-commerce seller. A user can also customize a simulation formula and a display form of a simulation result.
[0014] Step four: running the cross-border supply chain simulation model until the user desired time, the system interface will show the simulation results, the user can download the simulation results in the form of pictures to the local computer for saving, thus, a complete process is finished, after the simulation is finished, the user can adjust the parameters and simulate again under the new input conditions to compare the running results under multiple conditions.
[0015] The beneficial effects obtained by the application with the above structure are as follows: the cross-border e-commerce supply chain simulation system based on event driving proposed in the scheme realizes binding with the business of the cross-border e-commerce supply chain, enables the user familiar with the business to obtain the result output by the complex algorithm without too deep understanding of the technology, provides the components required for the cross-border e-commerce supply chain simulation by default, and provides sufficient elements, when the existing components cannot meet the business needs of part of the cross-border e-commerce sellers, the elements can be encapsulated to generate the required custom components, and the elements can also be directly used for building the cross-border supply chain simulation model, the scheme can enable the user to build the model by simply dragging the components with business meaning in some simple scenarios to complete the simulation process, and in complex business, the user can build a more complex cross-border e-commerce supply chain simulation model by deeply understanding the system, for the components or elements, the user can edit or increase the attributes according to the own needs, such a design can satisfy the user to customize the simulation data statistical formula, enable the user to simulate in other dimensions in addition to the inventory and cost of each simulation node, in the design idea of event driving, only the attribute setting of the component or element needs to be considered, the influence of the component or element on the previous component or the next component has a specific event processing, the complex business and technical problems are split to reduce the complexity of a single node, in addition to providing the default line chart, other forms of simulation data output forms such as pie chart and column chart are also provided, the user can select the appropriate simulation data output form according to the business needs and the simulation data statistical formula. BRIEF DESCRIPTION OF DRAWINGS
[0016] Figure 1 The cross-border e-commerce supply chain simulation system based on event driving proposed in the scheme is constructed;
[0017] Figure 2 The graphical interface schematic diagram of the cross-border e-commerce supply chain simulation system based on event driving proposed in the scheme. DETAILED DESCRIPTION
[0018] With reference to the accompanying drawings: clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments; based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative labor fall within the scope of the present application.
[0019] As shown in Figure 1 and Figure 2 The event-driven cross-border e-commerce supply chain simulation system provided in the present application includes a model layer, an assembly layer, an element layer and a statistics layer. The model layer includes a cross-border supply chain simulation model.
[0020] The model layer is a link formed by the mutual assembly relationship of users according to their own business scenarios, and the link is generated by forming a mutual influence relationship. The assembly layer is a device that carries a business relationship based on element assembly. The element layer is a set of basic units that can be used by the cross-border e-commerce supply chain simulation system. The statistics layer is the output of the simulation results of the cross-border supply chain simulation model.
[0021] Embodiment one
[0022] In one or more embodiments, an event-driven cross-border e-commerce supply chain simulation system is disclosed. The system provides a batch of assemblies by default, and supports users to customize abstract assemblies according to their own business needs. The user drags the assembly or element to the workbench area by mouse, and then selects the specific assembly or element to set the properties.
[0023] The user drags the basic cross-border e-commerce supply chain required basic assembly to the workbench area in sequence, connects them, and assembles the basic cross-border supply chain simulation model into procurement / production, departure warehouse, cross-border logistics, transfer warehouse, destination warehouse and buyer.
[0024] The user encapsulates the release element in the element to generate an unqualified inspection assembly, and sets its quantity, cost and other properties.
[0025] The user connects the unqualified inspection assembly to the departure warehouse assembly.
[0026] The user sets the formula of the unqualified inspection quantity in the procurement / production quantity, and displays it in the form of a pie chart for simulation data statistics.
[0027] The user runs the cross-border supply chain simulation model to obtain its simulation results, saves the simulation results in the form of a picture, and thus the cross-border supply chain simulation model under the condition is run.
[0028] The user enters the link of the cross-border e-commerce supply chain simulation platform through the browser, enters the simulation model building interface, the user encapsulates according to the provided components, after the required components and components meet the requirements, the mouse drags the components or components to the workbench area, according to the mutual influence relationship, the mouse clicks the specific component or component, and the attribute setting area is edited or increased, the simulation formula is set after the simulation model is built, the simulation time interval is defaulted to be a day, that is, the minimum time interval of simulation operation is one day, the most concerned inventory and cost dimension of cross-border e-commerce sellers, the simulation result line chart is defaulted to be given, the user can customize the simulation formula and the display form of the simulation result, the simulation model is run until the user expects the time, the system interface shows the simulation result, the user can download the simulation result in the form of a picture to the local computer for saving, and thus, a complete process is completed, after the simulation is completed, the user can adjust the parameters and simulate again under new input conditions, and the running results under multiple conditions are compared.
[0029] It should be noted that, in this document, the terms such as first and second are used merely to distinguish one entity or operation from another, and do not necessarily require or imply that these entities or operations exist in any actual relationship or order. Moreover, the terms "include", "contain" or any other variants thereof are intended to cover non-exclusive inclusion, so that the process, method, article or equipment including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or equipment.
[0030] Although the embodiments of the present application have been shown and described, it can be understood by those skilled in the art that various changes, modifications, replacements and variations can be made to the embodiments without departing from the principles and spirits of the present application, and the scope of the present application is defined by the appended claims and their equivalents.
Claims
1. An event-driven cross-border e-commerce supply chain simulation system, characterized in that, The system comprises a model layer, an assembly layer, an element layer and a statistics layer, the model layer comprises a cross-border supply chain simulation model, the model layer is a link generated by users according to their own business scenarios, through mutual assembly relationship in series, forming mutual influence relationship; the element layer is a basic unit set that can be used by the cross-border e-commerce supply chain simulation system; the assembly layer is a device based on element assembly, carrying business relationship, the assembly layer provides basic assembly in typical scenarios by default, and the assembly in special scenarios is encapsulated by elements according to the needs of users, forming an assembly, when the existing assembly cannot meet the business needs of some cross-border e-commerce sellers, the elements are encapsulated to generate the required custom assembly, or the elements are directly used to build the cross-border supply chain simulation model; when setting the properties of the assembly or the element, only the properties of the assembly or the element need to be considered, the influence of the assembly or the element on the previous assembly or the next assembly has specific event processing, and the assembly in the assembly layer must fill in the inventory and cost related input items, and other dimension information is set by the user; the statistics layer is the output of the simulation result, after the simulation is completed, the system defaults to statistics of the inventory and cost information of each node, and the user can customize the statistical data formula and the display form according to the needs and node information, the system provides business assembly in typical cross-border e-commerce supply chain scenarios, and is strongly associated with the cross-border e-commerce supply chain business scenario, and serves the simulation needs in the scenario. 2.The event-driven cross-border e-commerce supply chain simulation system according to claim 1, characterized in that: It also comprises the operation steps of the cross-border supply chain simulation model: Step 1: the user enters the link of the cross-border e-commerce supply chain simulation platform through the browser, enters the cross-border supply chain simulation model building interface, the cross-border supply chain simulation model building interface mainly comprises three areas: assembly / element area, workbench area and property setting area, the assembly / element area provides the assembly or element required by the user, the workbench area is the area where the user operates the cross-border supply chain simulation model, and the property setting area is the area where the user sets the properties of the assembly or element; Step 2: the user encapsulates the required assembly according to the provided elements, drags the assembly or element to the workbench area after the required assembly and element meet the needs, connects them in a certain order according to their mutual influence relationship, and clicks the specific assembly or element to edit or add its properties in the property setting area; Step 3: after the cross-border supply chain simulation model is built, the simulation formula is set, the default simulation time interval is one day, that is, the minimum simulation running time interval is one day, the inventory and cost dimensions that the cross-border e-commerce seller cares most about are given by default, and the user can customize the simulation formula and the display form of the simulation result; Step 4: run the cross-border supply chain simulation model until the user expects, the system interface displays the simulation result, the user downloads the simulation result in the form of a picture to the local computer for saving, thus, a complete process is completed, after the simulation is completed, the user adjusts the parameters and simulates again under new input conditions to compare the running results under multiple conditions.
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