A method, device, and medium for real-time order processing on a supply chain platform.

Abstract

This application provides a real-time order processing method, device, and medium for a supply chain platform. The method acquires intended order data from a user terminal and generates a corresponding set of order packaging identifiers based on this data. Each packaging identifier in the order packaging identifier set has a preset association relationship. According to supplier supply information matching the intended order data, each packaging identifier in the order packaging identifier set is assigned to a corresponding supply order data. The supply order data includes at least supplier-supplied materials and order transaction data. Upon receiving a real-time order query command, the assigned supply order data is displayed to the corresponding query terminal, allowing for real-time order updates based on terminal operations. This improves the order delivery efficiency of the supply chain platform and enhances the user experience.

Description

Technical Field

[0001] This application relates to the field of computer technology, and in particular to a method, device and medium for real-time order processing for a supply chain platform. Background Technology

[0002] With the advent of the internet age, modern enterprises have adopted supply chain management as a primary management model. Supply chain management aims to optimize the operation of the supply chain while minimizing costs, spanning the entire process from procurement to customer satisfaction. As an integrated business process, the main task of supply chain management is to rationally allocate internal and external resources to meet consumer needs.

[0003] Currently, with increasingly fierce market competition, companies have stricter requirements for order delivery cycles. Existing supply chain platforms, due to disconnects between various nodes in the supply chain, struggle to support high-quality order delivery requirements. The inherent information asymmetry between suppliers and manufacturers further impacts supply chain operational efficiency, resulting in a poor user experience within the supply chain. Summary of the Invention

[0004] This application provides a real-time order processing method, device, and medium for a supply chain platform, which addresses the problems of low efficiency, long order delivery cycles, and poor user experience in current supply chain platforms.

[0005] On one hand, embodiments of this application provide a real-time order processing method for a supply chain platform, the method comprising:

[0006] Obtain intended order data from user terminals;

[0007] Based on the intended order data, a corresponding set of order packaging identifiers is generated; wherein, each packaging identifier in the set of order packaging identifiers has a preset association relationship;

[0008] Based on the supplier supply information matching the intended order data, each of the packaging identifiers in the order packaging identifier set is assigned to the corresponding supply order data; wherein, the supply order data includes at least the supplier-supplied materials and order transaction data;

[0009] Upon receiving a real-time order query instruction, the supply order data assigned with the identification information is displayed to the corresponding query terminal, so as to update the real-time order based on the operation of the query terminal.

[0010] In one implementation of this application, a corresponding set of order encapsulation identifiers is generated based on the intended order data, specifically including:

[0011] Based on the intended order data and the corresponding selected suppliers, determine the order sales process information corresponding to the intended order data and several order sales nodes corresponding to the order sales process information;

[0012] Based on the number of each order sales node and the order flow order, the encapsulation identification information of the corresponding order sales node for the intended order data is determined; the association between each encapsulation identification information is determined based on the number of order sales nodes and the order flow order; each encapsulation identification information includes an expandable encapsulation identification;

[0013] According to the preset classification categories, each of the encapsulation identification information is encapsulated into at least one set of order encapsulation identifications; wherein, the classification category is determined based on the order number marked by the user.

[0014] In one implementation of this application, before allocating each of the encapsulation identifiers in the order encapsulation identifier set to the corresponding supply order data based on the supplier supply information matching the intended order data, the method further includes:

[0015] Based on the order placement time and order purchase object data of the intended order data, determine the supplier announcement information within a preset time period;

[0016] Based on the preset transaction model, determine the order transaction risk value of each pending supplier's supply information in the information published by each supplier;

[0017] The supplier information of the pending orders whose transaction risk value is less than a preset threshold is filtered, and the corresponding order supply time is determined. The supplier information of the pending orders with the shortest order supply time is selected as the supplier information that matches the intended order data.

[0018] In one implementation of this application, based on supplier supply information matching the intended order data, each of the encapsulation identifiers in the order encapsulation identifier set is assigned to the corresponding supply order data, specifically including:

[0019] Determine the corresponding supply order data for the supplier supply information;

[0020] Based on the intended order data and the supply order data, a corresponding association knowledge graph is established; wherein, the association knowledge graph corresponds to the association relationship between the intended order data and the supply order data;

[0021] Based on the associated knowledge graph and the order encapsulation identifier set, the identifier resolution management module generates identifier application information, sends the identifier application information to the secondary identifier resolution node, and obtains the corresponding supply order identifier code from the supply order data of the secondary identifier resolution node; the supply order identifier code includes at least a barcode and a QR code.

[0022] In one implementation of this application, based on the associated knowledge graph and the order encapsulation identifier set, identifier application information is generated through an identifier resolution management module, specifically including:

[0023] Based on the associated knowledge graph, the association between a single intended order in the intended order data and a single supply order in the supply order data is determined;

[0024] Based on the association between a single intention order in the intention order data and a single supply order in the supply order data, and the packaging identifier information of each single intention order in the order packaging identifier set, the binding information of each single supply order is determined; the binding information is used to specify the relationship between the packaging identifier information of the single intention order and the single supply order; the binding information includes at least time relationship, spatial relationship, and contextual relationship;

[0025] The identifier resolution management module generates the identifier application information based on the corresponding binding information of the supply order data, in order to obtain a supply order identifier code that has a preset binding relationship with the encapsulated identifier information of the individual intended order.

[0026] In one implementation of this application, obtaining intended order data from a user terminal specifically includes:

[0027] Based on the order application information of the user terminal, determine whether the user terminal has a corresponding preset purchase contract;

[0028] If so, generate intended order data based on the preset purchase contract;

[0029] Otherwise, an order intention confirmation interface is sent to the user terminal to determine the intention order data based on the user's operation on the user terminal; the intention order data includes at least the intention order content and the intention supplier.

[0030] In one implementation of this application, the method further includes:

[0031] Obtain multiple batches of the intended order data from the user terminal;

[0032] Based on the multiple batches of intended order data, the corresponding order packaging identifier sets are determined respectively, and the order packaging identifier sets are merged to determine the supplier supply information corresponding to the multiple batches of intended order data.

[0033] In one implementation of this application, the method further includes:

[0034] The server connects to the user terminal and supplier terminal through pre-installed Enterprise Resource Planning (ERP), Warehouse Management System (WMS), and Transportation Management System (TMS) interfaces, so as to display the supply order data stored in each connected system based on the encapsulated identification information.

[0035] On the other hand, embodiments of this application also provide a real-time order processing device for a supply chain platform, the device comprising:

[0036] At least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to:

[0037] Obtain intended order data from user terminals;

[0038] Based on the intended order data, a corresponding set of order packaging identifiers is generated; wherein, each packaging identifier in the set of order packaging identifiers has a preset association relationship;

[0039] Based on the supplier supply information matching the intended order data, each of the packaging identifiers in the order packaging identifier set is assigned to the corresponding supply order data; wherein, the supply order data includes at least the supplier-supplied materials and order transaction data;

[0040] Upon receiving a real-time order query instruction, the supply order data assigned with the identification information is displayed to the corresponding query terminal, so as to update the real-time order based on the operation of the query terminal.

[0041] Furthermore, embodiments of this application also provide a non-volatile computer storage medium for real-time order processing in a supply chain platform, storing computer-executable instructions, wherein the computer-executable instructions are configured as follows:

[0042] Obtain intended order data from user terminals;

[0043] Based on the intended order data, a corresponding set of order packaging identifiers is generated; wherein, each packaging identifier in the set of order packaging identifiers has a preset association relationship;

[0044] Based on the supplier supply information matching the intended order data, each of the packaging identifiers in the order packaging identifier set is assigned to the corresponding supply order data; wherein, the supply order data includes at least the supplier-supplied materials and order transaction data;

[0045] Upon receiving a real-time order query instruction, the supply order data assigned with the identification information is displayed to the corresponding query terminal, so as to update the real-time order based on the operation of the query terminal.

[0046] The above technical solution utilizes intended order data and its matching supplier supply information to establish a corresponding set of order encapsulation identifiers and allocate identifier information to the supply order data. This provides suppliers and manufacturers with a real-time order processing method based on an identifier resolution system, eliminating information asymmetry in the supply chain between suppliers, manufacturers, and customers, ensuring supply chain data transparency, and improving supply chain operational efficiency. It also effectively reduces order delivery cycles and enhances the user experience within the supply chain. Attached Figure Description

[0047] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0048] Figure 1 This is a flowchart illustrating a real-time order processing method for a supply chain platform, as described in an embodiment of this application.

[0049] Figure 2 This is a schematic diagram of the structure of a real-time order processing device for a supply chain platform according to an embodiment of this application. Detailed Implementation

[0050] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be clearly and completely described below in conjunction with specific embodiments and corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0051] In today's fiercely competitive market, with increasingly shorter order delivery cycles and higher demands for on-time delivery, inventory management is crucial as production capacity and costs necessitate a robust and effective system. Simultaneously, businesses need to shift towards a new management model based on vertical thinking, horizontally integrating external resources to form strategic alliances with complementary advantages. This creates a community of shared interests to compete in the market, improve service quality, reduce costs, and respond quickly to customer needs.

[0052] In the field of the Industrial Internet, the identifier resolution system is an important component of the Industrial Internet network architecture. It provides basic resources and information interconnection capabilities across fields, industries, and enterprises, and is a key infrastructure for the entire Industrial Internet network to achieve interconnection. The Industrial Internet identifier resolution system assigns a unique identity code to physical and virtual objects through identifier codes (barcodes, QR codes, RFID tags, etc.). This identity code can record and trace the entire lifecycle information of the virtual or physical object.

[0053] As businesses impose increasingly stringent order delivery cycle requirements, current supply chain platforms, due to disconnects between various nodes in the supply chain, struggle to support high-quality order delivery. Inherent information asymmetry between suppliers and manufacturers further impacts supply chain operational efficiency, resulting in a poor user experience within the supply chain.

[0054] Based on this, embodiments of this application provide a real-time order processing method, device, and medium for a supply chain platform to solve the problems of low efficiency, long order delivery cycle, and poor user experience of current supply chain platforms.

[0055] The various embodiments of this application are described in detail below with reference to the accompanying drawings.

[0056] This application provides a real-time order processing method for a supply chain platform, such as... Figure 1 As shown, the method may include steps S101-S104:

[0057] S101, the server obtains the intended order data from the user terminal.

[0058] The user terminal can be the terminal device used by the customer of the supply chain platform. The customer, as the user of the supply chain platform's sales process, purchases or reserves products from suppliers through the supply chain platform. The user terminal can be the customer's mobile phone, tablet, laptop, or other devices; this application does not specifically limit this.

[0059] It should be noted that the server, as the executor of the real-time order processing method used in the supply chain platform, exists only as an example, and the executor is not limited to the server. This application does not make any specific limitation in this regard.

[0060] In this embodiment of the application, the server obtains intended order data from the user terminal, specifically including:

[0061] First, the server determines whether the user terminal has a corresponding pre-set purchase contract based on the order application information on the user terminal.

[0062] If it is determined that there is a corresponding preset purchase contract for the user terminal, then generate the intended order data based on the preset purchase contract.

[0063] Otherwise, an order intention confirmation interface is sent to the user terminal to determine the intended order data based on the user's actions on the user terminal. The intended order data includes at least the intended order details and the intended supplier.

[0064] In other words, this application can determine whether the supply chain platform or its connected database stores a pre-set purchase contract corresponding to the user terminal. A pre-set purchase contract corresponding to the user terminal refers to whether the customer corresponding to that user terminal has already signed a sales purchase contract. If such a contract exists, the application executes the contract to generate intention order data and establishes a sales order. If no contract exists, an optional order intention confirmation interface can be provided to the user terminal, allowing the user to select and generate the corresponding intention order data.

[0065] The aforementioned contracts can be created using the contract center module of the supply chain platform. The contract center module includes procurement contract and sales contract management, and provides functions such as contract term configuration, intelligent contract recognition, contract archiving, and drafting of sales and procurement contracts.

[0066] Furthermore, the same user terminal in this application may contain several batches of intended order data. Therefore, this application performs supplier matching through the following implementation, as detailed below:

[0067] The server retrieves multiple batches of intended order data from user terminals. Based on these multiple batches of intended order data, it determines the corresponding order packaging identifier set for each batch and merges these sets to determine the corresponding supplier supply information for each batch of intended order data.

[0068] In other words, after receiving multiple batches of intended order data, the server can generate multiple sets of order packaging identifiers corresponding to each batch of intended order data; that is, each batch of intended order data has its own set of order packaging identifiers. The server can merge the sets of order packaging identifiers and match the supplier supply information corresponding to the merged set of order packaging identifiers.

[0069] For example, a user terminal has intended order data in batches a, b, and c. Each batch has an order encapsulation identifier set A, B, and C, respectively. The server merges orders of the same type (such as order product type or order object type) in each set and then matches them with supplier supply information. If order m has product x and order n has product y, and product x and product y are of the same type, the server merges them and then matches the merged supplier supply information.

[0070] In addition, this application embodiment also includes a procurement and sales module, a delivery and settlement module, a warehousing module, and an activity-based visual approval flow module. The sales and procurement module includes purchase orders and sales order management, specifically including automatically generating purchase orders based on purchase contracts, generating sales orders based on purchase orders, and configuring sales order rates.

[0071] The delivery center module includes a shipping center, a receiving center, and a pickup center. Specifically, it includes functions for issuing and confirming shipments, importing shipments and verifying receipts and warehousing. It provides basic templates to enable quick material import. The pickup center mainly includes pickup application and pickup list management. Customers can select specific orders and the quantity of goods to initiate a pickup application.

[0072] The settlement center module includes invoice management and reconciliation management functions, specifically including the creation of custom invoice templates and platform invoice collection management; reconciliation management mainly includes settlement statement management, providing printing and download functions.

[0073] The warehousing center module includes functions for basic warehouse information management, inbound management, outbound management, inventory management, inventory report management, reconciliation management, and warehouse area monitoring management. The warehousing center integrates with identifier resolution, obtaining detailed material information by scanning the unique item code, and accordingly allocating and recording material storage location information.

[0074] Process management includes model management, process deployment, process management, process tracking, and My Tasks functionality. My Tasks mainly includes tasks pending signature, tasks on behalf of others, tasks sent, and tasks completed.

[0075] S102, the server generates a corresponding set of order encapsulation identifiers based on the intended order data.

[0076] Among them, the packaging identifier information in the order packaging identifier set has a preset association relationship.

[0077] The encapsulated identification information is generated by the identification resolution management module of the supply chain platform. The identification resolution management module includes identification code management and identification code traceability management. The identification code assigns a unique identity code to orders and materials. Users can obtain relevant information through the identity code, realizing information sharing and full lifecycle management.

[0078] In this embodiment of the application, a corresponding set of order encapsulation identifiers is generated based on the intended order data, specifically including:

[0079] Based on the intended order data and the corresponding selected suppliers, the server determines the order sales process information and several corresponding order sales nodes for the intended order data. Based on the number of each order sales node and the order flow order, it determines the encapsulation identifier information for each order sales node in the intended order data. The relationships between these encapsulation identifiers are determined based on the number of order sales nodes and the order flow order. Each encapsulation identifier includes an expandable encapsulation identifier. According to preset categories, each encapsulation identifier is encapsulated into at least one set of order encapsulation identifiers. The category is determined based on the order number annotated by the user.

[0080] In other words, the server can obtain selected suppliers from intended order data. For example, if the intended order data includes a sales contract, the selected supplier can be obtained using that contract. Alternatively, if the customer independently determines the order, the server can match the corresponding selected supplier based on the generated order using data analysis, load forecasting, transaction simulation, and algorithmic models. Then, the server can determine the order sales process information corresponding to the intended order data, such as payment order creation, payment, order acceptance, collection, shipment, pickup, outbound, receipt, and invoicing. Each order sales process corresponds to several order sales nodes, such as the aforementioned payment order creation node and payment node. The server can generate encapsulated identification information for each order sales node based on the number of order sales nodes and the order flow sequence. For example, the encapsulated identification information for the first order sales node includes identifier 10001, where 10001 represents the first order sales node; the encapsulated identification information for the second order sales node includes identifier 20001. Identifiers can be expanded. For example, an order sales node contains multiple objects such as Material 1, Material 2, etc. The identifier 10001 can be expanded to 10002, 10003, etc. The order flow order corresponds to the order of business in the supply chain for each order sales node.

[0081] Afterwards, the server can encapsulate the above encapsulation identifier information into an order encapsulation identifier set according to the preset category. During encapsulation, the encapsulation can be performed in a way that uses the preset category as one class. For example, if the order is for pens and books, and the order numbers are different, the server will encapsulate the encapsulation identifier information of the two into two order encapsulation identifier sets respectively.

[0082] The above solution enables the mapping of intended order data to a set of order packaging identifiers. Different sets of order packaging identifiers are generated for different order categories, providing each node in the supply chain with a resolvable identifier code. This facilitates streamlined supply chain management, unique order or item location, and information retrieval, enabling information sharing and lifecycle monitoring. It also improves order delivery efficiency and security on the supply chain platform and enhances user experience.

[0083] S103, the server allocates each packaging identifier in the order packaging identifier set to the corresponding supply order data based on the supplier supply information that matches the intended order data.

[0084] The supply order data includes at least the materials supplied by suppliers and order transaction data.

[0085] In this embodiment of the application, before allocating each packaging identifier information in the order packaging identifier set to the corresponding supply order data according to the supplier supply information matching the intended order data, the method further includes:

[0086] The server determines supplier information published within a preset timeframe based on the order placement time and order purchase object data from the intended order data. According to a preset transaction model, it determines the order transaction risk value for each pending supplier's supply information within the published supplier information. Pending supplier supply information with order transaction risk values ​​below a preset threshold is filtered out, and the corresponding order supply time is determined. The pending supplier supply information with the shortest order supply time is selected as the supplier supply information that matches the intended order data.

[0087] In other words, the server can determine the order placement time and the procurement object data of the intended order data based on the identifier in the encapsulated identification information, i.e., the release time of the intended order data and the object to be procured. The server can filter supplier information released within a preset time period based on the release time and the procurement object. The preset transaction model can be a pre-trained risk calculation model capable of calculating the transaction risk value of the suppliers and their supplied products in the supplier's published information. The risk calculation model is trained based on the supplier's historical supply data and evaluation information. Furthermore, the server can filter out pending supplier supply information corresponding to order transaction risk values ​​below a preset threshold and select the pending supplier supply information with the fastest supply time as the supplier supply information. The preset threshold is set by the user according to the actual situation, and this application does not impose specific limitations on it.

[0088] In this embodiment of the application, based on the supplier supply information matching the intended order data, each packaging identifier in the order packaging identifier set is assigned to the corresponding supply order data, specifically including:

[0089] The server determines the corresponding supply order data for the supplier's supply information. Based on the intended order data and the supply order data, a corresponding relational knowledge graph is established. This relational knowledge graph corresponds to the relationship between the intended order data and the supply order data. Based on the relational knowledge graph and the order encapsulation identifier set, the identifier resolution management module generates identifier application information, which is then sent to the secondary identifier resolution node. The server then retrieves the corresponding supply order identifier code from the secondary identifier resolution node. The supply order identifier code includes at least a barcode and a QR code.

[0090] The server can establish a knowledge graph based on the correspondence between supply order data and intention order data, i.e., one intention order corresponds to at least one supply order. The server then uses the knowledge graph and the order encapsulation identifier set to generate the identifier application information on the supply order side, i.e., the identifier for requesting supply order data.

[0091] Specifically, based on the associated knowledge graph and the order encapsulation identifier set, the identifier resolution management module generates identifier application information, including:

[0092] Based on the association knowledge graph, the relationship between individual intended orders in the intended order data and individual supply orders in the supply order data is determined. Based on the relationship between these relationships and the encapsulation identifiers of individual intended orders in the order encapsulation identifier set, the binding information for each individual supply order is determined. The binding information specifies the relationship between the encapsulation identifier of an individual intended order and the individual supply order. The binding information includes at least temporal, spatial, and contextual relationships. Through the identifier resolution management module, identifier application information is generated based on the corresponding binding information in the supply order data to obtain supply order identifier codes that have a pre-defined binding relationship with the encapsulation identifier information of individual intended orders.

[0093] In other words, the orders in the intended order data have an identifier. Based on the association with the supply order, the above binding information can be sent when applying for the identifier, thereby creating a binding association between the supply order identifier and the intended order identifier.

[0094] S104. Upon receiving a real-time order query instruction, the server displays the data of each supply order with assigned identification information to the corresponding query terminal, so as to update the real-time order based on the operation of the query terminal.

[0095] User terminals or supplier terminals, acting as query terminals, send real-time order query instructions to the server. The instructions include at least the identifier code to be queried. Based on the identifier code, the corresponding supply order data can be displayed to the query terminal, and the query terminal can modify the supply order data in the node. The server can update the real-time orders.

[0096] In this embodiment, the server connects to user terminals and supplier terminals through pre-built Enterprise Resource Planning (ERP), Warehouse Management System (WMS), and Transportation Management System (TMS) interfaces, so as to display the supply order data stored in each connected system based on encapsulated identification information.

[0097] In other words, the server can interface with multiple systems such as ERP, WMS, and TMS to achieve integrated digital management of the entire process, from supplier, customer, and warehouse management, to demand release, order placement and acceptance, contract management, and order execution. This enables flexible integration with the supply chain platform and achieves full-process digitalization of business operations.

[0098] The supply chain platform implemented using the aforementioned technical solutions in this application enables transaction matching and platform-based operation: It provides a B2B matching trading platform where buyers and sellers can independently publish supply and demand information and place orders based on the supply chain procurement platform. It leverages platform data analysis, load forecasting, transaction simulation, and algorithm models to achieve precise control over spot transactions. It facilitates centralized procurement, aggregating customer orders and providing services such as order transactions, contract review, logistics warehousing, transportation delivery, and platform settlement for customers, while also aggregating customer resources for suppliers. It offers flexible integration, achieving full-process digitalization of business operations. Through digital management and operation, the platform connects with multiple systems such as ERP, WMS, and TMS, achieving integrated digital management of the entire process from supplier, customer, and warehouse management, demand publishing, order placement and acceptance, contract management, and order execution. Finally, it promotes technological transformation, empowering the development of the industrial chain by aggregating the digital transformation needs of upstream and downstream enterprises through order transactions, and providing intelligent factory transformation solutions. Information traceability, through an identifier resolution system, records and traces the entire lifecycle information of a virtual or physical object. Based on the identification code, it obtains product material information or material purchase and sales order information, uniquely locates and queries orders and items, and realizes information sharing and lifecycle monitoring.

[0099] The above technical solution provides suppliers and manufacturers with a real-time order processing method based on an identifier resolution system, eliminating information asymmetry, ensuring transparency of supply chain data, and improving supply chain operational efficiency. This, in turn, reduces order delivery cycles and enhances user experience.

[0100] Figure 2 A schematic diagram of a real-time order processing device for a supply chain platform, provided as an embodiment of this application, is included. The device comprises:

[0101] At least one processor; and a memory communicatively connected to the at least one processor. The memory stores instructions executable by the at least one processor, which, when executed by the at least one processor, enable the at least one processor to:

[0102] The system acquires intended order data from user terminals. Based on this data, it generates a corresponding set of order packaging identifiers. Each identifier in this set has a pre-defined association. According to supplier supply information matching the intended order data, each identifier in the set is assigned to a corresponding supply order data. This supply order data includes at least supplier-supplied materials and order transaction data. Upon receiving a real-time order query command, the assigned identifiers for each supply order data item are displayed to the corresponding query terminal, allowing for real-time order updates based on terminal actions.

[0103] This application also provides a non-volatile computer storage medium for real-time order processing in a supply chain platform, storing computer-executable instructions, which are configured as follows:

[0104] The system acquires intended order data from user terminals. Based on this data, it generates a corresponding set of order packaging identifiers. Each identifier in this set has a pre-defined association. According to supplier supply information matching the intended order data, each identifier in the set is assigned to a corresponding supply order data. This supply order data includes at least supplier-supplied materials and order transaction data. Upon receiving a real-time order query command, the assigned identifiers for each supply order data item are displayed to the corresponding query terminal, allowing for real-time order updates based on terminal actions.

[0105] The various embodiments in this application are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the device and medium embodiments are basically similar to the method embodiments, so the descriptions are relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0106] The devices, media, and methods provided in this application are one-to-one correspondences. Therefore, the devices and media also have similar beneficial technical effects as their corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the devices and media will not be repeated here.

[0107] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0108] The above description is merely an embodiment of this application and is not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of this application should be included within the scope of the claims of this application.

Claims

1. A real-time order processing method for a supply chain platform, characterized in that, The method includes: Obtain intended order data from user terminals; Based on the intended order data, a corresponding set of order packaging identifiers is generated; wherein, each packaging identifier in the set of order packaging identifiers has a preset association relationship; Based on the supplier supply information matching the intended order data, each of the encapsulation identifiers in the order encapsulation identifier set is assigned to the corresponding supply order data; wherein, the supply order data includes at least supplier-supplied materials and order transaction data; specifically, this includes: determining the supply order data corresponding to the supplier supply information; establishing a corresponding association knowledge graph based on the intended order data and the supply order data; wherein, the association knowledge graph corresponds to the association relationship between the intended order data and the supply order data; based on the association knowledge graph and the order encapsulation identifier set, generating identifier application information through the identifier resolution management module, sending the identifier application information to the secondary identifier resolution node, and obtaining the corresponding supply order identifier code from the secondary identifier resolution node; the supply order identifier code includes at least a barcode or a QR code; Upon receiving a real-time order query instruction, the supply order data assigned with the identification information is displayed to the corresponding query terminal, so as to update the real-time order based on the operation of the query terminal.

2. The method according to claim 1, characterized in that, Based on the intended order data, a corresponding set of order encapsulation identifiers is generated, specifically including: Based on the intended order data and the corresponding selected suppliers, determine the order sales process information corresponding to the intended order data and several order sales nodes corresponding to the order sales process information; Based on the number of each order sales node and the order flow order, the encapsulation identification information of the corresponding order sales node for the intended order data is determined; the association between each encapsulation identification information is determined based on the number of order sales nodes and the order flow order; each encapsulation identification information includes an expandable encapsulation identification; According to the preset classification categories, each of the encapsulation identification information is encapsulated into at least one set of order encapsulation identifications; wherein, the classification category is determined based on the order number marked by the user.

3. The method according to claim 1, characterized in that, Based on the supplier supply information matching the intended order data, the method further includes allocating each of the packaging identifiers in the order packaging identifier set to the corresponding supply order data before proceeding. Based on the order placement time and order purchase object data of the intended order data, determine the supplier announcement information within a preset time period; Based on the preset transaction model, determine the order transaction risk value of each pending supplier's supply information in the information published by each supplier; The supplier information of the pending orders whose transaction risk value is less than a preset threshold is filtered, and the corresponding order supply time is determined. The supplier information of the pending orders with the shortest order supply time is selected as the supplier information that matches the intended order data.

4. The method according to claim 3, characterized in that, Based on the aforementioned knowledge graph and the order encapsulation identifier set, identifier application information is generated through the identifier resolution management module, specifically including: Based on the associated knowledge graph, the association between a single intended order in the intended order data and a single supply order in the supply order data is determined; Based on the association between a single intention order in the intention order data and a single supply order in the supply order data, and the packaging identifier information of each single intention order in the order packaging identifier set, the binding information of each single supply order is determined; the binding information is used to specify the relationship between the packaging identifier information of the single intention order and the single supply order; the binding information includes at least a time relationship, a spatial relationship, or a contextual relationship; The identifier resolution management module generates the identifier application information based on the corresponding binding information of the supply order data, in order to obtain a supply order identifier code that has a preset binding relationship with the encapsulated identifier information of the individual intended order.

5. The method according to claim 1, characterized in that, Obtain intended order data from user terminals, specifically including: Based on the order application information of the user terminal, determine whether the user terminal has a corresponding preset purchase contract; If so, generate intended order data based on the preset purchase contract; Otherwise, an order intention confirmation interface is sent to the user terminal to determine the intention order data based on the user's operation on the user terminal; the intention order data includes at least the intention order content and the intention supplier.

6. The method according to claim 1, characterized in that, The method further includes: Obtain multiple batches of the intended order data from the user terminal; Based on the multiple batches of intended order data, the corresponding order packaging identifier sets are determined respectively, and the order packaging identifier sets are merged to determine the supplier supply information corresponding to the multiple batches of intended order data.

7. The method according to claim 1, characterized in that, The method further includes: The server connects to the user terminal and supplier terminal through pre-installed Enterprise Resource Planning (ERP), Warehouse Management System (WMS), and Transportation Management System (TMS) interfaces, so as to display the supply order data stored in each connected system based on the encapsulated identification information.

8. A real-time order processing device for a supply chain platform, characterized in that, The device includes: At least one processor; and, A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform a real-time order processing method for a supply chain platform as described in any one of claims 1-7.

9. A non-volatile computer storage medium for real-time order processing in a supply chain platform, storing computer-executable instructions, characterized in that, The computer-executable instructions are capable of executing a real-time order processing method for a supply chain platform as described in any one of claims 1-7.

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