Product process tracking method and system for physical commodity order management

Abstract

The present invention relates to the related field of information technology. Disclosed are a product process tracking method and system for physical commodity order management. The method comprises: uploading customer project activity information to a data center; sending a physical commodity list to the data center; a supply side responding to a physical commodity purchasing request and obtaining physical commodity information; importing physical commodity outbound and inbound receipts; taking the physical commodity list as an initial process tracking node, setting a continuous process tracking vector, and generating a product process tracking chain; and after responding to the physical commodity purchasing request, the supply side uploading the customer project activity information and the physical commodity list, and a client refreshing the physical commodity information in real time. The technical problems of low data accuracy and reliability, untimely information updating, insufficient process transparency, and low management efficiency in existing physical commodity order management are solved, and the technical effects of ensuring data accuracy and reliability, realizing real-time order information updating, synchronously performing process tracking, and improving management efficiency are achieved.

Description

Product process tracking method and system for physical order management TECHNICAL FIELD

[0001] The present application relates to the field of information technology, and particularly relates to a product process tracking method and system for physical order management. BACKGROUND

[0002] With the rapid development of e-commerce and logistics industry, the number and complexity of physical orders are increasing. The process from order generation to delivery involves multiple links and multiple participants, including suppliers, manufacturers, logistics companies and end customers. In this process, how to ensure the accuracy, real-time and transparency of order information is an important challenge for physical order management. At present, traditional order management systems are mainly used for physical order management. The traditional system relies on manual operation, and due to the error-prone nature of manual operation, the accuracy and reliability of order data are low. When order data cannot be accurately recorded, the system cannot reflect the latest status of the order in real time, so it cannot update the relevant information in time. Due to the delay in information updating and the inability to clearly display and track each link and step in the order processing process, the process transparency is insufficient, which makes it difficult for relevant personnel to fully understand the progress and status of order processing.

[0003] At present, in the related art, the physical order management has the technical problems of low data accuracy and reliability, which further leads to delayed information updating and insufficient process transparency, and finally leads to low management efficiency. TECHNICAL PROBLEM

[0004] The existing physical order management has the technical problems of low data accuracy and reliability, delayed information updating, insufficient process transparency and low management efficiency TECHNICAL SOLUTION

[0005] The present application provides a product process tracking method and system for physical order management, which adopts digital order management, builds a product process tracking chain, and updates order information in real time. Through automatic data entry, the accuracy and reliability of data are ensured, and the real-time updating of order information and the synchronization of process tracking are realized, thereby improving the management efficiency.

[0006] The present application provides a product process tracking method for physical order management, which comprises:

[0007] The client's customer project activity information is uploaded to the data center, and the customer project activity information includes product basic information, settlement data information and customer interaction records;

[0008] sending the list of physical goods of the supply end to a data center, and initiating a physical goods procurement request by the client;

[0009]

[0010] based on the physical goods warehouse management page, importing a physical goods warehouse-in / out form, the physical goods warehouse-in / out form including a physical goods warehouse-in form corresponding to at least one physical goods warehouse-in record, a physical goods warehouse-out form corresponding to at least one physical goods warehouse-out record, and a physical goods transaction form corresponding to at least one physical goods transaction record;

[0011]

[0012] based on the product flow tracking chain, uploading the client project activity information and the list of physical goods to the product flow tracking chain after the supply end responds to the physical goods procurement request, and synchronously and real-timely refreshing the physical goods information at the client end.

[0013] In a possible implementation, the list of physical goods is taken as an initial flow tracking node, a continuous flow tracking vector is set based on the physical goods warehouse-in / out form, a product flow tracking chain is generated, and the following processing is performed:

[0014] performing deep content analysis on the list of physical goods of a previous time sequence node and the list of physical goods of a current time sequence node, and extracting a synchronous refreshing correlation feature;

[0015] taking the synchronous refreshing correlation feature as a row of a matrix, taking a continuous flow tracking vector corresponding to the list of physical goods of the previous time sequence node as a column of the matrix, and determining a product flow matrix data set, wherein the product flow matrix data set includes a flow variation index, a dynamic correlation weight, and a state transition probability;

[0016] based on the product flow matrix data set, constructing the product flow tracking chain.

[0017] In a possible implementation, based on the product flow matrix data set, the product flow tracking chain is constructed, and the following processing is performed:

[0018] based on the continuous flow tracking vector, taking the flow variation index in the product flow matrix data set as an original node, analyzing the correlation of the original node through the state transition probability in the product flow matrix data set, and generating a continuous flow tracking path; ​​

[0019] Based on the continuous flow tracking path, the dynamic correlation weight in the product flow matrix dataset is synchronized according to the time sequence characteristics, and a plurality of flow tracking chain sub-nodes are determined;

[0020] The product flow tracking chain is constructed through the plurality of flow tracking chain sub-nodes.

[0021] In a possible implementation, the real commodity warehouse-in / out single includes a real commodity warehouse-in single corresponding to at least one real commodity warehouse-in record, and the following processing is performed:

[0022] Based on the customer return demand issued by the client, a real commodity return list is generated;

[0023] The supply end responds to the customer return demand, and opens the real commodity warehouse-in management page by the supply end;

[0024] After opening the real commodity warehouse-in management page, based on the real commodity return list, the return real commodity is selected, and a real commodity return single including at least one real commodity return record is generated;

[0025] Based on the real commodity return single, the real commodity warehouse-in single is updated and managed.

[0026] In a possible implementation, the real commodity warehouse-in / out single includes a real commodity transaction single corresponding to at least one real commodity transaction record, and the following processing is performed:

[0027] The supply end responds to the customer return demand and issues commodity activity information;

[0028] After opening the real commodity warehouse-in management page, based on the commodity activity information, the activity difference real commodity is selected, and a real commodity difference transaction single including at least one real commodity activity difference transaction record is generated;

[0029] Based on the real commodity difference transaction single, the real commodity transaction single is updated and managed.

[0030] In a possible implementation, based on the customer project activity information and the real commodity list, real commodity information is obtained, and the following processing is performed:

[0031] Based on the real commodity transaction operation of the plurality of flow tracking chain sub-nodes, in combination with the specifications and models in the real commodity information, the key nodes of the real commodity life cycle module are configured, wherein the data center and the real commodity life cycle module are interactively connected;

[0032] Based on the timestamp information corresponding to the key nodes of the physical commodity life cycle module, a plurality of physical commodity inventory tables with warehouse location identifiers are counted;

[0033] The plurality of physical commodity inventory tables are uploaded to the data center for inventory optimization management.

[0034] In a possible implementation, based on the physical commodity return order, the physical commodity warehouse-in order is updated and managed, and the following processing is performed:

[0035] Based on the first physical commodity return record in the physical commodity return order, a first physical commodity failure rate is obtained by analyzing the physical commodity life cycle module;

[0036] Based on the first physical commodity failure rate, a plurality of physical commodity failure rates are obtained by traversing the physical commodity return order, and each physical commodity return record in the physical commodity return order is associated and mapped with the plurality of physical commodity failure rates;

[0037] Through the association and mapping result, the failure phenomenon in the physical commodity return order is fused and analyzed to obtain a fusion analysis result, and the fusion analysis result is sent to the supply end.

[0038] The application also provides a product process tracking system for physical order management, comprising:

[0039] A customer project activity information upload module is configured to upload customer project activity information of a client to a data center, wherein the customer project activity information includes product basic information, settlement data information, and customer interaction records;

[0040] A physical commodity list sending module is configured to send a physical commodity list of a supply end to the data center, and initiate a physical commodity procurement request by the client;

[0041] A physical commodity information obtaining module is configured to obtain physical commodity information based on the customer project activity information and the physical commodity list in response to the physical commodity procurement request by the supply end, including opening a physical commodity warehouse-in management page by the supply end;

[0042] A physical commodity warehouse-in and warehouse-out order import module is configured to import a physical commodity warehouse-in and warehouse-out order based on the physical commodity warehouse-in management page, wherein the physical commodity warehouse-in and warehouse-out order includes a physical commodity warehouse-in order corresponding to at least one physical commodity warehouse-in record, a physical commodity warehouse-out order corresponding to at least one physical commodity warehouse-out record, and a physical commodity transaction order corresponding to at least one physical commodity transaction record;

[0043] A product process tracking chain generation module, the product process tracking chain generation module is used to use the physical commodity list as an initial process tracking node, set a continuous process tracking vector based on the physical commodity entry and exit order, and generate a product process tracking chain;

[0044] A synchronous real-time refresh module is used to upload the customer project activity information and the physical commodity list to the product process tracking chain based on the product process tracking chain after the supplier responds to the physical commodity purchase request, and to synchronously refresh the physical commodity information on the client in real time.

[0045] The product process tracking method and system for physical order management proposed in this application first uploads the client's customer project activity information to the data center. The customer project activity information includes basic product information, settlement data information and customer interaction records. Then, the physical commodity list of the supply side is sent to the data center. The client initiates a physical commodity purchase request, and the supply side responds to the physical commodity purchase request and obtains physical commodity information based on the customer project activity information and the physical commodity list, including opening the physical commodity warehousing management page by the supply side, importing the physical commodity entry and exit list based on the physical commodity warehousing management page, and the physical commodity entry and exit list includes at least one physical commodity entry record corresponding to the physical commodity entry record. The physical commodity list is used as the initial process tracking node, and a continuous process tracking vector is set based on the physical commodity in and out order to generate a product process tracking chain. Based on the product process tracking chain, after the supplier responds to the physical commodity purchase request, the customer project activity information and the physical commodity list are uploaded to the product process tracking chain, and the physical commodity information is synchronously refreshed in real time on the client, thereby achieving the technical effect of ensuring data accuracy and reliability through automated data entry, and then realizing real-time update of order information and synchronous process tracking, thereby improving management efficiency. Beneficial effects

[0046] The technical effect of ensuring data accuracy and reliability through automated data entry, and then realizing real-time updating of order information and synchronous process tracking, thereby improving management efficiency, is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings of the embodiments of the present application will be briefly introduced below. In the present application, flowcharts are used to illustrate the operations performed by the system according to the embodiments of the present application. It should be understood that the foregoing or the following operations are not necessarily performed in sequence. On the contrary, various steps can be processed in reverse order or simultaneously according to the needs. Meanwhile, other operations can be added to these processes, or one or more steps can be removed from these processes.

[0048] FIG. 1 is a flowchart of a product process tracking method for physical order management provided by an embodiment of the present application;

[0049] FIG. 2 is a structural diagram of a product process tracking system for physical order management provided by an embodiment of the present application. DETAILED DESCRIPTION

[0050] The foregoing description is only a summary of the technical solutions of the present application. In order to more clearly understand the technical means of the present application, the embodiments of the present application can be implemented according to the content of the description, and in order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the following specific embodiments of the present application are described.

[0051] In order to make the purposes, technical solutions and advantages of the present application more clear, the present application will be further described in detail below with reference to the drawings, and the described embodiments should not be regarded as limiting the present application. All other embodiments obtained by those skilled in the art without making creative efforts fall within the scope of protection of the present application.

[0052] In the following description, "some embodiments" are described, which describe a subset of all possible embodiments, but it can be understood that "some embodiments" can be the same subset or different subsets of all possible embodiments, and can be combined with each other without conflict. The term "first\second" is only to distinguish similar objects, and does not represent a specific order of the objects. The terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or server including a series of steps or units does not have to be limited to those steps or units clearly listed, but can include other steps or modules not clearly listed or inherent to these processes, methods, products or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as understood by those skilled in the art in the technical field of the present application. The terms used herein are only for the purpose of describing the embodiments of the present application.

[0053] The embodiments of the present application provide a product process tracking method for physical order management, as shown in FIG. 1, the method comprises:

[0054] Step S100, uploading the client's customer project activity information to the data center, the customer project activity information including product basic information, settlement data information and customer interaction records. Specifically, the client is an interface or application program used by the user to interact with the system, allowing the user to input customer project activity information, initiate procurement requests and view real-time updated commodity information. The data center is a centralized data storage and processing center that receives data from the client and the supply end, stores and processes the data. The client provides a user interface that allows users to input or select product basic information (such as product name, specifications, quantity, etc.), settlement data information (such as price, discount, payment method, etc.), and customer interaction records (such as chat records, feedback, etc.). After the user inputs or selects the customer project activity information, the client performs preliminary data verification, such as checking whether the product quantity is positive and the price is legal, etc. After verification, the client formats the user input customer project activity information according to the preset format, converting it into a format that the computer can understand and process. The formatted data is packaged into one or more data packets, each containing specific information types and structures. The client sends the data packets from the client to the data center through a secure network channel (such as HTTPS, VPN, etc.).

[0055] Step S200, sending the supply end's physical commodity list to the data center, and initiating a physical commodity procurement request by the client. Specifically, the supply end is the party that provides physical commodities and is responsible for managing inventory and responding to procurement requests. The supply end maintains commodity information in its inventory system, including commodity name, specifications, quantity, price, etc. When commodity inventory changes (such as warehousing, warehousing, price adjustment, etc.), the supply end's inventory system automatically updates commodity information. The supply end extracts the latest commodity information from the inventory system and generates a complete physical commodity list. The physical commodity list is a list of all physical commodities available for sale provided by the supply end. The supply end sends the physical commodity list to the data center through API calls, data synchronization mechanisms or other secure channels. After the data center receives the physical commodity list sent by the supply end, it integrates the physical commodity list with existing data to ensure the latest and consistency of the data. The client sends a request to the data center to obtain the physical commodity list periodically or in real time. After the data center receives the client's request, it sends the latest physical commodity list to the client. After the client receives the data, it displays the physical commodity list on the user interface for the user to browse and select. Based on the displayed physical commodity list, the user selects the commodities to be procured and inputs the procurement quantity, delivery address, etc. The client organizes these information into a physical commodity procurement request and sends it to the data center.

[0056] At step S300, the supply end responds to the real commodity procurement request, and acquires real commodity information based on the customer project activity information and the real commodity list. Specifically, the supply end receives a real commodity procurement request from the data center through its internal system, and the real commodity procurement request contains an abstract of the customer project activity information (such as project name, order number, customer requirements, etc.). The supply end accesses the data center to acquire the customer project activity information related to the real commodity procurement request, and analyzes the customer project activity information to determine the specific requirements of the customer for the commodity, such as specifications, quantity, quality requirements, etc. The supply end screens the required commodities from its own system or database based on the real commodity procurement request, the customer project activity information, and the real commodity list, and based on the screening result, arranges the real commodity information that meets the customer's requirements, including commodity ID, name, specifications, quantity, price, inventory location, etc. If necessary, the supply end can open a real commodity warehouse management page, which displays the warehouse records and current inventory status of all commodities. The supply end can view the detailed inventory status of the commodities through the real commodity warehouse management page.

[0057] In a possible implementation, based on the customer project activity information and the list of physical goods, physical goods information is obtained, and step S300 further includes step S310, based on physical goods transaction operations of a plurality of process tracking chain sub-nodes, and in combination with specifications in the physical goods information, key nodes of a physical goods life cycle module are configured, wherein the data center is interactively connected with the physical goods life cycle module. Specifically, the supply end maintains a plurality of process tracking chain sub-nodes, which record the entire transaction operation process of physical goods from warehousing, storage, and delivery to the final delivery to the customer. The supply end associates specific physical goods with corresponding nodes in the process tracking chain according to the specifications in the physical goods information. Based on the process tracking information and the specifications of the physical goods, the key nodes of the physical goods life cycle module are configured. The physical goods life cycle module is a module specially used for analyzing the performance of physical goods in the entire life cycle, and the key nodes include warehousing inspection, storage condition change, and delivery audit, etc., each of which is marked with timestamp information. Step S320, based on the timestamp information corresponding to the key nodes of the physical goods life cycle module, a plurality of physical goods inventory tables with warehouse location identifiers are counted. Specifically, according to the timestamp information of the key nodes in the physical goods life cycle module, the state and flow of the physical goods in different warehouse locations are analyzed, and based on the timestamp information and the warehouse location identifier, a plurality of physical goods inventory tables are generated, which record the quantity and state of the physical goods in each warehouse location at each time point. Step S330, the plurality of physical goods inventory tables are uploaded to the data center for inventory optimization management. Specifically, the supply end uploads the generated plurality of physical goods inventory tables to the data center, and the data center, based on the received physical goods inventory tables, in combination with the customer project activity information and market demand prediction, performs inventory optimization management, including adjusting the inventory of different warehouses, optimizing the storage and deployment strategy of physical goods, etc., to ensure that the inventory level meets the customer demand and avoids excessive inventory backlog. This implementation can more efficiently manage inventory and improve inventory turnover rate, thereby achieving the technical effects of improving the overall efficiency and response speed of the supply chain.

[0058] At step S400, based on the real commodity warehousing management page, import the real commodity warehousing and delivery order, which includes at least one real commodity warehousing record corresponding to the real commodity warehousing order, at least one real commodity delivery record corresponding to the real commodity delivery order, and at least one real commodity transaction record corresponding to the real commodity transaction order. Specifically, the supply end logs in and accesses the real commodity warehousing management page, and according to the actual real commodity warehousing, delivery and transaction, prepares the corresponding real commodity warehousing and delivery order file in advance. The real commodity warehousing and delivery order file can be an electronic document (such as an Excel table, a PDF file, etc.) or a paper document. After confirming that each record (including commodity information, quantity, timestamp, etc. Key fields) of the real commodity warehousing and delivery order is accurate, the real commodity warehousing and delivery order file is uploaded to the designated location of the supply end system through file uploading, API interface docking, etc. The supply end system checks the data format, integrity and consistency with other system data, and verifies the imported real commodity warehousing and delivery order data. If the format of the imported real commodity warehousing and delivery order data is inconsistent with the internal data format of the system, data conversion is performed to make the data correctly stored and processed. After the real commodity warehousing and delivery order is imported, an import report is generated to show the details of the records that have been successfully imported, failed to import or need to be corrected. The operator confirms the accuracy and integrity of the data import according to the import report, and handles the records that have failed to import or need to be corrected, such as re-uploading the file or re-importing after correcting the data. According to the imported real commodity warehousing order and real commodity delivery order, the inventory status is automatically updated to ensure the real-time and accuracy of the inventory data, and according to the imported real commodity transaction order, the order status of the corresponding real commodity is updated, such as order completed, partial delivery, etc.

[0059] In a possible implementation, the physical commodity warehouse-in and warehouse-out single includes at least one physical commodity warehouse-in record corresponding physical commodity warehouse-in single, and step S400 further includes step S410 of generating a physical commodity return list based on the client return demand issued by the client. Specifically, the supply end receives the client return demand from the client, including return reason, return commodity list, return quantity, and the like, and automatically generates a physical commodity return list based on the received client return demand, the physical commodity return list recording the information of the physical commodity to be returned, including physical commodity name, specification, quantity, and the like. Step S420, the supply end responds to the client return demand and opens the physical commodity warehouse-in management page by the supply end; step S430, after opening the physical commodity warehouse-in management page, based on the physical commodity return list, the return physical commodity is selected, and the physical commodity return single including at least one physical commodity return record is generated. Specifically, the supply end confirms the received client return demand, checks the accuracy and integrity of the physical commodity return list, and opens the physical commodity warehouse-in management page to prepare for return processing. In the physical commodity warehouse-in management page, the operator locates the corresponding return physical commodity according to the physical commodity return list through functions such as screening and searching. Based on the located return physical commodity, the physical commodity return single is automatically generated according to a preset algorithm, and the physical commodity return single records the information of the return physical commodity, the return quantity, the return time, and the like. Step S440, based on the physical commodity return single, the physical commodity warehouse-in single is updated and managed. Specifically, the generated physical commodity return single is audited in a way of automatic system or manual operation by the operator to ensure the accuracy and compliance of the return information. After the audit is passed, the corresponding physical commodity warehouse-in single is updated according to the information of the physical commodity return single, including updating the inventory state, recording the return time, and the like. The updated physical commodity warehouse-in single reflects the actual inventory situation after the return. This implementation updates and manages the physical commodity warehouse-in single according to the client return demand, so that the supply end can master the inventory change in real time, reduces the errors and delays in the return processing, and achieves the technical effect of improving the overall operation efficiency.

[0060] In another possible implementation, based on the physical commodity return order, the physical commodity warehouse-in order is updated and managed, and step S440 further includes step S441. Based on the first physical commodity return record in the physical commodity return order, a first physical commodity failure rate is obtained by analyzing the physical commodity life cycle module. Specifically, first, the first physical commodity return record is read from the physical commodity return order, and the first physical commodity return record contains detailed information of the returned physical commodity, such as the name of the physical commodity, the specification, the return reason, etc. The physical commodity life cycle module is called, and the physical commodity life cycle module contains performance data, failure records, maintenance history, etc. of the physical commodity in the entire life cycle. In the physical commodity life cycle module, first, the relevant data of the physical commodity in the module is located according to the physical commodity information (such as the name of the commodity, the model, etc.) in the first physical commodity return record, and then these data are analyzed and processed by using methods such as statistics based on historical failure data, analysis based on failure mode, or prediction based on machine learning, to obtain the first physical commodity failure rate, which reflects the probability of problems occurring in the use of the first physical commodity. Step S442, based on the first physical commodity failure rate, a plurality of physical commodity failure rates are obtained by traversing the physical commodity return order, and each physical commodity return record in the physical commodity return order is associated and mapped with the plurality of physical commodity failure rates. Specifically, after obtaining the first physical commodity failure rate of the first physical commodity return record, the entire physical commodity return order is traversed, and each physical commodity return record is analyzed. For each physical commodity return record, key information such as the unique identifier of the physical commodity (such as the commodity ID), the return date, the return reason, etc. is extracted, the physical commodity life cycle module is called, and the failure rate of the physical commodity is queried and obtained according to the unique identifier of the physical commodity in each physical commodity return record. Once the failure rate data is obtained, an association mapping relationship is created by creating a data structure (such as a hash table or a dictionary) in the memory, which binds the unique identifier of the physical commodity return record with the corresponding failure rate, thereby obtaining a plurality of physical commodity failure rates and an association mapping relationship between the plurality of physical commodity failure rates and the corresponding physical commodity return records. Step S443, the failure phenomenon in the physical commodity return order is analyzed by using the association mapping result, a fusion analysis result is obtained, and the fusion analysis result is sent to the supply end. Specifically, first, the failure description in the physical commodity return record is extracted and classified, including identifying the type, severity, frequency, etc. of the failure, and then the failure description of each physical commodity return record is matched with the corresponding physical commodity failure rate by using the association mapping result, the qualitative failure description is combined with the quantitative failure rate data, and a comprehensive and accurate analysis basis is formed.After the matching is completed, fusion analysis is performed by using methods such as data mining, statistical analysis, and machine learning, and the failure phenomenon is analyzed in depth from multiple angles. For example, the commonalities and differences of the failure phenomenon are found out through clustering analysis, and the relationship between the failure rate and different factors is explored through regression analysis. Through fusion analysis, the analysis results about the failure phenomenon of the returned goods are obtained, including the main types of failure, the main causes, the influence range, and potential improvement measures, etc. The fusion analysis results are sent to the supply end in an appropriate form (such as a report, a chart, etc.), and the supply end adjusts and optimizes the product quality, the production process, the after-sales service, etc. according to the fusion analysis results. Through this implementation mode, the supply end not only handles the customer return demand, but also deeply analyzes the failure condition of the returned physical goods, and achieves the technical effect of providing strong support for improving the product quality and the customer service level.

[0061] In another possible implementation, the physical commodity warehouse-in / out management sheet includes a physical commodity transaction sheet corresponding to at least one physical commodity transaction record, and step S400 further includes step S450 of issuing commodity activity information in response to the customer return demand. Specifically, when the customer initiates the customer return demand, the supplier receives the customer return demand and starts processing the return flow according to the information in the customer return demand, such as the returned commodity, quantity, etc. At the same time, the supplier publishes commodity activity information, including discounts, full price reductions, gifts, etc., according to business strategies and market conditions, to attract customers to purchase or process the returned physical commodity. Step S460, after opening the physical commodity warehouse-in management page, based on the commodity activity information, selecting activity balance physical commodities, and generating a physical commodity balance transaction sheet including at least one physical commodity activity balance transaction record. Specifically, the supplier opens the physical commodity warehouse-in management page to prepare for return processing, analyzes which physical commodities participate in the activity and the impact of the activity on inventory and transaction records according to the currently published commodity activity information, selects balance physical commodities generated due to the commodity activity based on the commodity activity information, and the balance is derived from the sales increment during the commodity activity, the return reduction, or other inventory changes related to the commodity activity. According to the selected balance physical commodities, a physical commodity balance transaction sheet is automatically generated based on a preset algorithm, which records the inventory balance generated due to the commodity activity, including physical commodity name, quantity, balance type (such as increase or decrease), etc. Step S470, based on the physical commodity balance transaction sheet, updating and managing the physical commodity transaction sheet. Specifically, read the generated physical commodity balance transaction sheet, update the original physical commodity transaction sheet according to the information in the physical commodity balance transaction sheet, including adjusting the transaction quantity, updating the transaction state, recording the balance transaction information, etc., at the same time, synchronously updating the inventory state, adjusting the inventory quantity of the corresponding physical commodity according to the information in the physical commodity balance transaction sheet, ensuring that the inventory data can reflect the actual inventory situation in real time, avoiding the situation of over-selling or overstocking. This implementation ensures that the inventory and transaction records of the supplier can remain accurate and consistent in the case of customer return and commodity activity at the same time, achieving the technical effects of improving the operation efficiency of the supplier, optimizing the inventory structure, and providing better shopping experience for customers.

[0062] Step S500, taking the physical commodity list as an initial process tracking node, setting a continuous process tracking vector based on the physical commodity warehouse in-out list, generating a product process tracking chain. Specifically, read the physical commodity list, which contains all the information of the physical commodities to be tracked, such as physical commodity ID, name, specification, etc. For each physical commodity in the physical commodity list, an initial process tracking node is created in the process tracking system, which records the basic information and initial state (such as warehouse-in state) of the physical commodity. Read the physical commodity warehouse-in-out list, which records the movement of the physical commodity in the warehouse, including warehouse-in, warehouse-out, transaction, etc. Analyze each record in the physical commodity warehouse-in-out list and extract key information, such as operation type (warehouse-in / warehouse-out), operation time, operator, physical commodity ID, quantity, etc. For each record in the physical commodity warehouse-in-out list, a new process tracking vector is created in the process tracking system according to the corresponding operation type and physical commodity ID, which contains the key information of physical commodity ID, operation type, operation time, etc. and points to the next related process node (if any). For example, if it is a warehouse-in record, the process tracking vector points to the initial process tracking node of the physical commodity; if it is a warehouse-out record, the process tracking vector points to the next node after warehouse-out (which may be another warehouse or a customer). By connecting all the process tracking vectors, a continuous product process tracking chain is generated, which shows the entire flow process of the physical commodity from warehouse-in to warehouse-out, including each flow node and each operation vector. By querying the product process tracking chain, the state, location and historical operation record of the physical commodity at any time point can be known.

[0063] In a possible implementation, step S500 further includes step S510 of performing deep content analysis on the physical commodity list of the previous timing node and the physical commodity list of the current timing node to extract the synchronous refresh correlation feature. Specifically, the physical commodity lists of the previous timing node (e.g., the previous inventory check or statistical period) and the current timing node are obtained. These physical commodity lists contain the physical commodity information of each timing node, such as quantity, type, state, and the like. Deep content analysis is performed on the commodity lists of the two timing nodes, including detailed comparison and analysis of the quantity change, type increase or decrease, state transition, and the like of the physical commodities. Through deep content analysis, the synchronous refresh correlation feature between the two timing nodes is extracted, which refers to the features with synchronous changes or mutual correlations in the physical commodity lists of the two timing nodes, including the quantity, type, state, or other related attributes of the physical commodities, and a consistent, mutually influencing mode presented between the two timing nodes, for example, the quantity of a certain physical commodity increases simultaneously in the two timing nodes, and this state change is closely related to market demand, promotion activities, or supply chain adjustment, and the like. Therefore, the quantity increase feature is regarded as a synchronous refresh correlation feature. In step S520, the synchronous refresh correlation feature is taken as a row of a matrix, and the continuous process tracking vector corresponding to the physical commodity list of the previous timing node is taken as a column of the matrix, to determine the product process matrix dataset, wherein the product process matrix dataset includes the process variation index, the dynamic correlation weight, and the state transition probability. Specifically, the synchronous refresh correlation feature is a feature with synchronous changes or mutual correlations identified in the physical commodity lists of the two timing nodes, reflecting the key change mode of the physical commodities at different time points, and the continuous process tracking vector represents the flow and change path of the physical commodities in the previous timing node, capturing the dynamic behavior of the physical commodities in the process. Next, a matrix is constructed, the synchronous refresh correlation feature is taken as a row of the matrix, and the continuous process tracking vector corresponding to the physical commodity list of the previous timing node is taken as a column of the matrix, to integrate different dimensions of information into a unified structure. In the process of filling the matrix, the correlation degree or weight between each synchronous refresh correlation feature and each continuous process tracking vector is calculated through statistical correlation analysis, machine learning feature matching algorithm, and the like. Through calculation of the correlation degree or weight, the dynamic correlation relationship between different features and vectors is quantified in the matrix.Finally, the obtained product flow matrix dataset not only includes the original synchronous refresh correlation features and continuous flow tracking vector information, but also contains derived information such as process change indicators, dynamic correlation weights, and state transition probabilities. The process change indicators are used to measure the degree of change in the quantity and state of physical commodities in the process; the dynamic correlation weights reflect the correlation strength between the synchronous refresh correlation features and the continuous flow tracking vector; and the state transition probabilities describe the possibility of the transfer of physical commodities between different states. In step S530, the product flow tracking chain is constructed based on the product flow matrix dataset. Specifically, according to the information in the product flow matrix dataset, the flow and change of products between different time sequence nodes are tracked, and based on the tracking results of the matrix data, a detailed product flow tracking chain is constructed. The product flow tracking chain not only contains the flow path of physical commodities, but also reflects the change process and key nodes of physical commodities in different states. In addition, the product flow tracking chain can be optimized and visualized to make it easier to understand and use. For example, the product flow tracking chain can be displayed in the form of charts or animations to help users more intuitively understand the process changes of products. This implementation deeply analyzes the flow and change of products between different time sequence nodes by extracting synchronous refresh correlation features and constructing matrices, and achieves the technical effect of constructing an accurate and detailed product flow tracking chain.

[0064] In another possible implementation, step S530 further includes step S531 of generating a continuous process tracking path by analyzing the relevance of the original nodes in the product process matrix dataset based on the continuous process tracking vector and the state transition probability in the product process matrix dataset. Specifically, process change indicators are read from the product process matrix dataset, and the process change indicators are taken as the original nodes, which represent the key change points of the physical commodity in the process. The state transition probability information in the product process matrix dataset is read, and a probability analysis algorithm such as Markov chain analysis is used to evaluate the relevance between the original nodes. According to the size and direction of the state transition probability, the possible transfer path between the original nodes is determined. Based on the analysis result of the state transition probability, one or more continuous process tracking paths are constructed, which represent the possible flow process of the physical commodity from the initial state to the final state. In step S532, the dynamic correlation weight in the product process matrix dataset is processed in synchronization according to the time sequence characteristics based on the continuous process tracking path, and a plurality of process tracking chain sub-nodes are determined. Specifically, the dynamic correlation weight data in the product process matrix dataset is read, and the time sequence characteristics of the dynamic correlation weight data such as trend, periodicity, etc. are analyzed. According to the time sequence analysis result, time sequence interpolation, smoothing processing or standardization, etc. are performed, and necessary synchronization or calibration processing is performed on the dynamic correlation weight to ensure that the weight at different time points can correctly reflect the dynamic change of the process. Based on the synchronized dynamic correlation weight, the key intermediate states or sub-processes in the process are identified, and these key intermediate states or sub-processes are taken as the process tracking chain sub-nodes. In step S533, the product process tracking chain is constructed through the plurality of process tracking chain sub-nodes. Specifically, the continuous process tracking path generated in step S531 and the process tracking chain sub-nodes determined in step S532 are integrated by inserting the process tracking chain sub-nodes into the appropriate position in the continuous process tracking path, to form a complete product process tracking chain, which clearly shows the flow path, key change points and their correlation in the process of the physical commodity. This implementation adopts a systematic approach to extract key information from the continuous process tracking vector, taking the process change indicators as the original nodes and analyzing the relevance through the state transition probability. This systematic analysis helps to fully grasp the overall structure and dynamic change of the product process, and achieves the technical effect of providing accurate and comprehensive process tracking information.

[0065] Step S600, based on the product process tracking chain, after the supply end responds to the physical commodity procurement request, upload the customer project activity information and the physical commodity list to the product process tracking chain, and synchronize real-time refresh the physical commodity information at the client end. Specifically, when the supply end responds to the physical commodity procurement request, immediately start the interaction process with the product process tracking chain, the supply end sorts and uploads the customer project activity information to the product process tracking chain, by including the customer project activity information in the product process tracking chain, ensure that the supply process is consistent with the customer project demand, at the same time, the supply end uploads the physical commodity list to the product process tracking chain, the physical commodity list records the detailed information of the physical commodity to be supplied, such as commodity name, specification, quantity, production date, etc., which is an important basis for product traceability, used for tracking and positioning goods. The client end monitors the update of the product process tracking chain in real time through regular polling or real-time pushing mechanism, as soon as the supply end uploads the customer project activity information and the physical commodity list, the client end receives these update information immediately, and automatically triggers the operation of synchronizing real-time refresh, through synchronizing real-time refresh, the user of the client end can immediately see the latest order status and physical commodity information, the user can real-time master the procurement progress, commodity status and other information, and make timely decision and adjustment. The embodiment of the application adopts digital order management, builds product process tracking chain, and updates order information in real time, etc. Technical means, through automatic data entry, ensure the accuracy and reliability of the data, and then realize real-time updating of the order information and synchronous process tracking, thereby improving the management efficiency.

[0066] In the foregoing, the product process tracking method for physical order management according to the embodiment of the application is described in detail with reference to FIG. 1. Next, the product process tracking system for physical order management according to the embodiment of the application will be described with reference to FIG. 2.

[0067] The product process tracking system for physical order management according to the embodiment of the application is used to solve the technical problem that the existing physical order management has low data accuracy and reliability, which further leads to untimely information updating and insufficient process transparency, and finally leads to low management efficiency, so as to achieve the technical effect of improving the management efficiency by automatic data entry, ensuring the accuracy and reliability of the data, and then realizing real-time updating of the order information and synchronous process tracking. The product process tracking system for physical order management includes a customer project activity information uploading module 10, a physical commodity list sending module 20, a physical commodity information obtaining module 30, a physical commodity warehouse in-out list importing module 40, a product process tracking chain generating module 50, and a synchronous real-time refresh module 60.

[0068] The client project activity information uploading module 10 is configured to upload the client project activity information of the client to the data center, the client project activity information including product basic information, settlement data information and client interaction records;

[0069] The real commodity list sending module 20 is configured to send the real commodity list of the supply end to the data center, and the real commodity purchase request is initiated by the client;

[0070] The real commodity information obtaining module 30 is configured to obtain the real commodity information based on the client project activity information and the real commodity list in response to the real commodity purchase request of the supply end, including opening the real commodity warehouse management page by the supply end;

[0071] The real commodity warehouse entry and exit order importing module 40 is configured to import the real commodity warehouse entry and exit order based on the real commodity warehouse management page, the real commodity warehouse entry and exit order including at least one real commodity warehouse entry order corresponding to the real commodity warehouse entry record, at least one real commodity warehouse exit order corresponding to the real commodity warehouse exit record, and at least one real commodity transaction order corresponding to the real commodity transaction record;

[0072] The product process tracking chain generation module 50 is configured to generate the product process tracking chain based on the real commodity warehouse entry and exit order by taking the real commodity list as an initial process tracking node and setting a continuous process tracking vector;

[0073] The synchronous real-time refreshing module 60 is configured to upload the client project activity information and the real commodity list to the product process tracking chain after the supply end responds to the real commodity purchase request based on the product process tracking chain, and to perform synchronous real-time refreshing on the real commodity information at the client end.

[0074] In the following, the specific configuration of the product process tracking chain generation module 50 will be described in detail. As described above, the product process tracking chain generation module 50 can further include a synchronous refreshing association feature extraction unit configured to perform deep content analysis on the real commodity list of the previous time sequence node and the real commodity list of the current time sequence node to extract synchronous refreshing association features, a product process matrix data set determination unit configured to determine a product process matrix data set by taking the synchronous refreshing association features as rows of a matrix and taking the continuous process tracking vector corresponding to the real commodity list of the previous time sequence node as columns of the matrix, wherein the product process matrix data set includes process variation indicators, dynamic association weights and state transition probabilities, and a product process tracking chain construction unit configured to construct the product process tracking chain based on the product process matrix data set.

[0075] The product flow tracking chain construction unit can further include a continuous flow tracking path generation subunit configured to, based on the continuous flow tracking vector, take a flow variation index in the product flow matrix dataset as an original node, analyze the correlation of the original node based on a state transition probability in the product flow matrix dataset, and generate a continuous flow tracking path; a flow tracking chain subnode determination subunit configured to, based on the continuous flow tracking path, synchronize processing of dynamic correlation weights in the product flow matrix dataset according to time sequence characteristics, and determine a plurality of flow tracking chain subnodes; and a product flow tracking chain construction subunit configured to construct the product flow tracking chain through the plurality of flow tracking chain subnodes.

[0076] In the following, the specific configuration of the physical commodity warehouse-in / out order import module 40 will be described in detail. As described above, the physical commodity warehouse-in / out order includes at least one physical commodity warehouse-in order corresponding to a physical commodity warehouse-in record, and the physical commodity warehouse-in / out order import module 40 can further include a physical commodity return list generation unit configured to generate a physical commodity return list based on the customer return demand issued by the client; a customer return demand response unit configured to, in response to the customer return demand, open the physical commodity warehouse-in management page by the supply end; a physical commodity return order generation unit configured to, after opening the physical commodity warehouse-in management page, select return physical commodities based on the physical commodity return list, and generate a physical commodity return order including at least one physical commodity return record; and a physical commodity warehouse-in order update unit configured to update and manage the physical commodity warehouse-in order based on the physical commodity return order.

[0077] In the following, the specific configuration of the physical commodity warehouse-in / out order import module 40 will be described in detail. As described above, the physical commodity warehouse-in / out order includes at least one physical commodity warehouse-in order corresponding to a physical commodity warehouse-in record, and the physical commodity warehouse-in / out order import module 40 can further include a physical commodity return list generation unit configured to generate a physical commodity return list based on the customer return demand issued by the client; a customer return demand response unit configured to, in response to the customer return demand, open the physical commodity warehouse-in management page by the supply end; a physical commodity return order generation unit configured to, after opening the physical commodity warehouse-in management page, select return physical commodities based on the physical commodity return list, and generate a physical commodity return order including at least one physical commodity return record; and a physical commodity warehouse-in order update unit configured to update and manage the physical commodity warehouse-in order based on the physical commodity return order.

[0078] In the following, the specific configuration of the real commodity information acquisition module 30 will be described in detail. As described above, based on the customer project activity information and the real commodity list, the real commodity information is acquired, and the real commodity information acquisition module 30 can further include: a key node configuration unit for configuring the key nodes of the real commodity life cycle module based on the real commodity transaction operations of the plurality of process tracking chain sub-nodes in combination with the specifications in the real commodity information, wherein the data center is interactively connected with the real commodity life cycle module; a real commodity inventory table statistics unit for statistically obtaining a plurality of real commodity inventory tables with warehouse location identifiers based on the timestamp information corresponding to the key nodes of the real commodity life cycle module; and a warehouse capacity optimization management unit for uploading the plurality of real commodity inventory tables to the data center for warehouse capacity optimization management.

[0079] The real commodity warehouse-in order update unit can further include: a first real commodity failure rate acquisition sub-unit for obtaining a first real commodity failure rate through the real commodity life cycle module based on a first real commodity return record in the real commodity return order; an association mapping sub-unit for obtaining a plurality of real commodity failure rates by traversing the real commodity return order based on the first real commodity failure rate, and associating and mapping each real commodity return record in the real commodity return order with the plurality of real commodity failure rates; and a fusion analysis sub-unit for obtaining a fusion analysis result by fusion analysis of the failure phenomena in the real commodity return order based on the association mapping result, and sending the fusion analysis result to the supply end.

[0080] The product process tracking system for real order management provided in the embodiments of the present application can execute the product process tracking method for real order management provided in any of the embodiments of the present application, and has the corresponding function modules and beneficial effects of the execution method.

[0081] Although the present application makes various references to certain modules in the system according to the embodiments of the present application, however, any number of different modules can be used and run on the user terminal and / or server, and each unit and module is only divided according to the functional logic, but is not limited to the above division, as long as the corresponding functions can be realized; in addition, the specific names of each functional unit are only for the convenience of mutual differentiation, and do not limit the protection scope of the present application.

[0082] The foregoing DETAILED DESCRIPTION, including the above section titled "Detailed Description," is not to be taken as limiting the scope of the application. Various modifications, combinations, and equivalents can be apparent to those skilled in the art and can be made once the nature of the application is understood. Any modification, combination, or equivalent, which falls within the principles and the scope of the present application, is intended to be included in the present application. In some instances, the actions or steps can be performed in different order from those described herein, and still achieve desirable results. Additionally, the process depicted in the figures can not necessarily require the particular order shown or sequential order to achieve the desired results. In certain implementations, multitasking and parallel processing can be advantageous.

Claims

1. A product process tracking method for physical order management, characterized in that: The method comprises: Upload the client's project activity information to the data center, including basic product information, settlement data information and customer interaction records; The physical commodity list of the supplier is sent to the data center, and the client initiates a purchase request for the physical commodity; The supplier side responds to the physical commodity purchase request and obtains physical commodity information based on the client project activity information and the physical commodity list, including opening a physical commodity warehousing management page by the supplier side; Importing physical commodity inbound and outbound orders based on the physical commodity inbound management page, wherein the physical commodity inbound and outbound orders include a physical commodity inbound order corresponding to at least one physical commodity inbound record, a physical commodity outbound order corresponding to at least one physical commodity outbound record, and a physical commodity transaction order corresponding to at least one physical commodity transaction record; Using the physical commodity list as the initial process tracking node, setting a continuous process tracking vector based on the physical commodity entry and exit orders, and generating a product process tracking chain; Based on the product process tracking chain, after the supplier responds to the physical commodity purchase request, the customer project activity information and the physical commodity list are uploaded to the product process tracking chain, and the physical commodity information is synchronously refreshed in real time on the client.

2. The product process tracking method for physical order management according to claim 1, characterized in that: The physical commodity list is used as an initial process tracking node, and a continuous process tracking vector is set based on the physical commodity entry and exit list to generate a product process tracking chain. The method includes: Perform in-depth content analysis on the physical product list of the previous time series node and the physical product list of the current time series node to extract synchronous refresh correlation features; The synchronous refresh association features are used as rows of a matrix, and the continuous process tracking vectors corresponding to the physical commodity list of the previous time series node are used as columns of the matrix to determine a product process matrix data set, wherein the product process matrix data set includes process change indicators, dynamic association weights, and state transition probabilities; Based on the product process matrix data set, the product process tracking chain is constructed.

3. The product process tracking method for physical order management according to claim 2, characterized in that: Based on the product process matrix data set, the product process tracking chain is constructed, and the method includes: Based on the continuous process tracing vector, the process change index in the product process matrix data set is used as the original node, and the correlation of the original node is analyzed through the state transition probability in the product process matrix data set to generate a continuous process tracing path; Based on the continuous process tracing path, the dynamic association weights in the product process matrix data set are synchronously processed according to time series characteristics to determine multiple process tracing chain nodes; The product process tracking chain is constructed through the multiple process tracking chain sub-nodes.

4. The product process tracking method for physical order management according to claim 1, characterized in that: The physical commodity in-and-out order includes a physical commodity in-warehouse order corresponding to at least one physical commodity in-warehouse record, and the method includes: Generate a physical goods return list based on the customer return request issued by the client; The supplier responds to the customer's return request by opening the physical commodity warehousing management page; After opening the physical commodity warehousing management page, selecting a physical commodity to be returned based on the physical commodity return list, and generating a physical commodity return order including at least one physical commodity return record; Based on the physical commodity return order, the physical commodity receipt order is updated and managed.

5. The product process tracking method for physical order management according to claim 4, characterized in that: The physical commodity in-and-out order includes a physical commodity transaction order corresponding to at least one physical commodity transaction record, and the method includes: The supplier responds to the customer's return request and issues product activity information; After opening the physical commodity warehousing management page, based on the commodity activity information, selecting the activity difference physical commodity, and generating a physical commodity difference transaction order including at least one physical commodity activity difference transaction record; Based on the physical commodity difference transaction sheet, the physical commodity transaction sheet is updated and managed.

6. The product process tracking method for physical order management according to claim 4, characterized in that: Based on the client project activity information and the physical commodity list, obtaining physical commodity information, the method further includes: Based on the physical commodity transaction operations of multiple process tracking chain nodes, combined with the specifications and models in the physical commodity information, key nodes of the physical commodity life cycle module are configured, wherein the data center is interactively connected with the physical commodity life cycle module; Based on the timestamp information corresponding to the key nodes of the physical commodity life cycle module, a plurality of physical commodity inventory tables with warehouse location identifiers are counted; The plurality of physical commodity inventory tables are uploaded to the data center for optimized inventory management.

7. The product process tracking method for physical order management according to claim 6, characterized in that: Based on the physical commodity return order, the physical commodity receipt order is updated and managed, and the method further includes: Based on the first physical commodity return record in the physical commodity return order, obtaining a first physical commodity failure rate through analysis of the physical commodity life cycle module; Based on the first physical commodity failure rate, traverse the physical commodity return form to obtain multiple physical commodity failure rates, and associate and map each physical commodity return record in the physical commodity return form with the multiple physical commodity failure rates; Through the association mapping result, a fusion analysis is performed on the fault phenomenon in the physical commodity return order, a fusion analysis result is obtained, and the fusion analysis result is sent to the supply end.

8. Product process tracking system for physical order management, characterized by: The system is used to implement the product process tracking method for physical order management according to any one of claims 1 to 7, and the system includes: A client project activity information uploading module, which is used to upload the client project activity information of the client to the data center. The client project activity information includes basic product information, settlement data information and customer interaction records; A physical commodity list sending module, which is used to send the physical commodity list from the supplier to the data center, and the client initiates a physical commodity purchase request; a physical commodity information acquisition module, configured for the supplier to respond to the physical commodity purchase request and acquire physical commodity information based on the client project activity information and the physical commodity list, including opening a physical commodity warehousing management page by the supplier; A physical commodity inbound and outbound order import module, which is used to import physical commodity inbound and outbound orders based on the physical commodity inbound management page. The physical commodity inbound and outbound orders include at least one physical commodity inbound order corresponding to a physical commodity inbound record, at least one physical commodity outbound order corresponding to a physical commodity outbound record, and at least one physical commodity transaction order corresponding to a physical commodity transaction record; A product process tracking chain generation module, the product process tracking chain generation module is used to use the physical commodity list as an initial process tracking node, set a continuous process tracking vector based on the physical commodity entry and exit order, and generate a product process tracking chain; A synchronous real-time refresh module is used to upload the customer project activity information and the physical commodity list to the product process tracking chain based on the product process tracking chain after the supplier responds to the physical commodity purchase request, and to synchronously refresh the physical commodity information on the client in real time.

Images