Supply chain intelligent logistics scheduling control device and method

Abstract

The present invention provides a supply chain intelligent logistics scheduling control device for use in the field of data processing systems. The intelligent logistics scheduling control device, through the coordination of an intelligent control server, a supply chain logistics scheduling system, a client collector, an e-commerce end collector, a distribution point collector, and a supply collector, can effectively collect, process, and analyze data information at each end of the supply chain. It effectively collects and predicts data from both the e-commerce end and the client end based on the characteristics of e-commerce customers, and can effectively monitor and compile statistics on supply data and supply logistics. This not only enables intelligent control and feedback compensation of supply chain logistics scheduling, reduces logistics losses, and improves logistics scheduling efficiency, but also effectively allocates supply demand, reduces supply warehousing pressure, and reduces the occurrence of undersupply and oversupply conditions, further achieving intelligent control and precise assurance of supply chain logistics scheduling. The present invention also provides a corresponding method.

Description

Technical Field

[0001] The present application relates to the field of data processing systems, and in particular to a supply chain intelligent logistics scheduling control device and method. Background Art

[0002] A supply chain is a functional network structure centered around a core enterprise, connecting suppliers, manufacturers, distributors, and end users, from supporting parts to intermediate and final products, and ultimately through a sales network that delivers these products to consumers. The business philosophy of supply chain management is to optimize the entire supply chain through collaboration between businesses from the consumer's perspective. Successful supply chain management coordinates and integrates all activities within the supply chain, ultimately creating a seamless, integrated process. Supply chain management is an integrated management philosophy and approach that centers around the core enterprise and plans and controls the flow of logistics, information, business, and capital from suppliers to end users. Supply chain management is implemented through analysis and integration of the value chain. Logistics refers to the entire process of planning, implementing, and managing the movement of raw materials, semi-finished products, finished products, and related information from the point of origin to the point of consumption through transportation, storage, and distribution to meet customer needs.

[0003] When many industries turn their clients to e-commerce, it not only brings economic development and business expansion, but also increases the difficulty of scheduling for supply chain logistics. Due to the variability of customers and customer needs, information such as supply volume, supply demand, and logistics data cannot be effectively predicted, which causes warehousing pressure and causes problems such as insufficient supply and oversupply in the supply chain. Therefore, how to predict and process supply demand based on demand data from the e-commerce side, so as to achieve intelligent regulation of supply chain logistics scheduling and reduce supply warehousing pressure is a problem that needs to be solved at present. Summary of the Invention

[0004] The purpose of this application is to solve the problem of how to solve the difficulty of supply chain logistics scheduling brought by e-commerce clients and reduce warehousing pressure. Compared with the existing technology, it provides a supply chain intelligent logistics scheduling control device, including an intelligent control server, which is equipped with a supply chain logistics scheduling system. The supply chain logistics scheduling system includes a scheduling master control processing unit; the input end of the scheduling master control processing unit is connected to a customer data acquisition unit, an e-commerce data acquisition unit, a logistics data acquisition unit and a supply acquisition unit; the output end of the scheduling master control processing unit is connected to a supply logistics scheduling unit and a supply scheduling feedback unit; the input end of the customer data acquisition unit is connected to a client collector, and the client The input end of the collector is connected to multiple clients, the e-commerce data collection unit is connected to the e-commerce end collector, and the input end of the e-commerce end collector is connected to multiple e-commerce ends; the input end of the logistics data collection unit is connected to the distribution point collector, and the input end of the distribution point collector is connected to multiple distribution points and multiple logistics nodes corresponding to the distribution points. The input end of the supply collection unit is connected to the supply collector, and the input end of the supply collector is connected to the marketing headquarters, the manufacturing headquarters, multiple manufacturing ends and multiple corresponding supply nodes; the output end of the supply logistics scheduling unit is respectively connected to the marketing headquarters and multiple distribution points, and the output end of the supply scheduling feedback unit is respectively connected to the marketing headquarters and the manufacturing headquarters.

[0005] In some embodiments, the client collector is equipped with a client data prediction module, the input end of the client data prediction module is connected to the client demand data module and the client logistics data module, and the output end of the client data prediction module is signal-connected to the client data collection unit.

[0006] In some embodiments, the client demand data module collects data on browsing history, search history, order history, and web page stay history of multiple clients.

[0007] In some embodiments, the client logistics data module collects logistics distribution data, return and exchange logistics data, and previous customer logistics data of multiple clients.

[0008] In some embodiments, the e-commerce collector is equipped with an e-commerce data prediction module, the input end of the e-commerce data prediction module is connected to the customer browsing data module, the distribution data module and the distribution logistics data module, and the output end of the e-commerce data prediction module is connected to the e-commerce data collection unit signal.

[0009] In some embodiments, the customer browsing data module collects product browsing data of multiple clients on multiple e-commerce terminals.

[0010] In some embodiments, the distribution data module collects order data from multiple e-commerce terminals, and the order data includes transaction data, return and exchange data, order inquiry data, and distribution point purchase data.

[0011] In some embodiments, the distribution logistics data module collects logistics data from multiple e-commerce terminals, and the logistics data includes order scheduling data, return and exchange logistics data, and distribution point logistics data.

[0012] In some embodiments, the client demand data module cooperates with the customer browsing data module and the distribution data module, and the distribution logistics data module cooperates with the client logistics data module.

[0013] In some embodiments, the supply logistics scheduling unit includes a supply logistics processing module, the input end of the supply logistics processing module is signal-connected to the scheduling general control processing unit, the output end of the supply logistics processing module is connected to the logistics distribution module, the logistics data synchronization module and the return and exchange logistics scheduling module, and the output ends of the logistics distribution module, the logistics data synchronization module and the return and exchange logistics scheduling module are all connected to the marketing headquarters and multiple distribution points.

[0014] In some embodiments, the logistics and distribution module can uniformly regulate logistics and distribution when the sales burden of a single e-commerce terminal suddenly increases or decreases, reinforce the supply goods of the original distribution path or adjust the conversion target, and regulate the retention or conversion target of the supply goods of the distribution path.

[0015] In some embodiments, the logistics data synchronization module can synchronize the logistics data of multiple distribution points and multiple e-commerce terminals, and can synchronize the logistics distribution data of the marketing headquarters, manufacturing headquarters and manufacturing terminals. The distribution data of the logistics distribution module can be compared and analyzed through the synchronized data to determine the changes in the overall demand for supplied goods and the real-time data update of logistics scheduling control.

[0016] In some embodiments, the return and exchange logistics scheduling module can provide logistics rescue and replenishment to nearby e-commerce terminals or distribution points when the original return and exchange e-commerce terminal is short of stock, and change the logistics destination of the return and exchange through intelligent logistics scheduling.

[0017] In some embodiments, the supply scheduling feedback unit includes a scheduling feedback compensation module, the input end of the scheduling feedback compensation module is connected to the scheduling general control processing unit signal, the output end of the scheduling feedback compensation module is connected to the supply logistics secondment module, the return and exchange logistics agent module and the warehousing control module, and the output ends of the supply logistics secondment module and the return and exchange logistics agent module are connected to the marketing headquarters signal, and the output end of the warehousing control module is connected to the manufacturing headquarters signal.

[0018] In some embodiments, the supply logistics secondment module can second the supply logistics of the marketing headquarters, the manufacturing headquarters, and the manufacturing end to cope with abnormal demand for supply logistics.

[0019] In some embodiments, the return and exchange logistics agent module can act as an agent to regulate the marketing performance and order data of multiple e-commerce terminals and multiple distribution points after the original destination of the return and exchange logistics is changed, thereby reducing the communication volume between multiple e-commerce terminals and multiple distribution points.

[0020] In some embodiments, the warehouse control module can timely control the production scheduling of the manufacturing end to ensure supply and reduce warehouse pressure.

[0021] In some embodiments, the marketing headquarters is connected to the supply node set up at the marketing headquarters, the manufacturing headquarters is connected to the supply node set up at the manufacturing headquarters, the manufacturing end is connected to the supply node set up at the manufacturing end, and the distribution point is connected to the logistics node set up at the distribution point.

[0022] In some embodiments, the output end of the marketing headquarters is connected to the headquarters logistics control device, and the output end of the logistics node set at the distribution point is connected to the distribution logistics control device, and the headquarters logistics control device and the distribution logistics control device cooperate with each other.

[0023] In some embodiments, the marketing headquarters is connected to the manufacturing headquarters through a supply node set at the marketing headquarters and a supply node set at the manufacturing headquarters, and the marketing headquarters is connected to the manufacturing end through a supply node set at the marketing headquarters and a supply node set at the manufacturing end.

[0024] In some embodiments, the marketing headquarters is connected to multiple distribution points through a supply node set up at the marketing headquarters and a logistics node set up at the distribution points. The multiple distribution points are connected to multiple e-commerce terminals through a distribution logistics control device. The multiple e-commerce terminals are connected to multiple clients through an e-commerce platform.

[0025] The present invention also provides a supply chain intelligent logistics scheduling and control method, the method comprising the following steps: an intelligent control server collects data from a client, an e-commerce terminal, a distribution point, and a supply node, wherein the data of the supply node comes from a marketing headquarters, a manufacturing headquarters, and a manufacturing terminal; a scheduling master control processing unit summarizes, processes, analyzes, and compares the collected data; the scheduling master control processing unit determines whether there are abnormalities in the demand data of the client and the e-commerce terminal; if there are abnormalities, the scheduling master control processing unit sends a control instruction to the supply logistics scheduling unit and / or the supply scheduling feedback unit according to the abnormal data, otherwise it continues to collect data; a) when the supply logistics scheduling unit receives the data, the logistics data synchronization module synchronizes the logistics data of the distribution point and the e-commerce terminal, and synchronizes the logistics distribution data of the marketing headquarters, the manufacturing headquarters, and the manufacturing terminal; b) when it is determined that the sales burden of a single e-commerce terminal suddenly increases or decreases, the logistics distribution module uniformly regulates the logistics distribution, reinforces or adjusts the target of the supply goods on the original distribution path, and regulates the retention or target of the supply goods on the distribution path to be distributed; c) When it is determined that the original return and exchange e-commerce end has insufficient inventory, the return and exchange logistics scheduling module will provide logistics rescue and replenishment to nearby e-commerce ends or distribution points, and change the logistics destination of returns and exchanges through intelligent logistics scheduling; d) When it is determined that there is abnormal demand, the supply logistics secondment module will second the supply logistics of the marketing headquarters, manufacturing headquarters and manufacturing end; e) When it is determined that the original destination of return and exchange logistics has changed, the return and exchange logistics agent module will act as an agent to regulate the marketing performance and order data of the e-commerce end and distribution point to reduce the amount of communication between the e-commerce end and the distribution point; f) When the supply scheduling feedback unit responds, the warehousing control module will control the production scheduling of the manufacturing end to ensure supply and reduce warehousing pressure. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] The foregoing and further features of the present invention will become apparent from the following description of preferred embodiments provided by way of example only and taken in conjunction with the accompanying drawings, in which:

[0027] Figure 1 A schematic diagram of a supply chain intelligent logistics scheduling control device according to an embodiment of the present invention is shown;

[0028] Figure 2 It shows a control flow chart of a supply chain logistics scheduling system according to an embodiment of the present invention;

[0029] Figure 3 A topological diagram showing the role of the intelligent control server in the supply chain according to an embodiment of the present invention is shown;

[0030] Figure 4 shows an overall topology diagram of a supply chain according to an embodiment of the present invention;

[0031] Figure 5 A schematic diagram of a client collector according to an embodiment of the present invention is shown;

[0032] Figure 6 A schematic diagram of an e-commerce collector according to an embodiment of the present invention is shown;

[0033] Figure 7 and Figure 8 A diagram showing the coordination between a client collector and an e-commerce collector according to an embodiment of the present invention is shown;

[0034] Figure 9 and Figure 10 It shows a logic diagram of the operation of a supply chain logistics scheduling unit according to an embodiment of the present invention;

[0035] Figure 11 and Figure 12 It shows a logic diagram of the supply scheduling feedback unit according to an embodiment of the present invention;

[0036] Figure 13 A flow chart of a supply chain intelligent logistics scheduling control method according to an embodiment of the present invention is shown;

[0037] Figure 14 It shows the overall control logic diagram of the supply chain logistics scheduling system according to an embodiment of the present invention;

[0038] Figure 15 A diagram showing the coordination among the marketing headquarters, manufacturing headquarters, manufacturing end, and distribution points, as well as the coordination among the distribution points, e-commerce end, and client end according to an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0039] The embodiments will be combined with the drawings for the purpose of clearly and completely describing the technical solution of the present application and are not intended to limit the present invention. It is understood by those skilled in the art that all variations within the scope of the claims are included in the scope of protection requested by the present application.

[0040] In the following claims and the foregoing description of the present invention, unless the context requires otherwise due to expressive language or necessary implication, the word "comprise" or variations such as "include" or "comprising" are used in an inclusive manner, that is, specifying the presence of the recited features but not excluding the presence or addition of additional features in various embodiments of the present invention. In addition, unless otherwise specified, the dimensions and proportions in the drawings do not represent the actual dimensions and proportions of the device.

[0041] Figure 1 A supply chain intelligent logistics scheduling control device according to an embodiment of the present invention is shown. Figure 2 The control flow chart of the supply chain logistics scheduling system according to an embodiment of the present invention is shown. Figure 1 and Figure 2 The supply chain intelligent logistics scheduling control device includes an intelligent control server, the intelligent control server is equipped with a supply chain logistics scheduling system, and the supply chain logistics scheduling system includes a scheduling master control processing unit 500;

[0042] The input end of the scheduling control processing unit 500 is connected to the customer data collection unit 100, the e-commerce data collection unit 200, the logistics data collection unit 300 and the supply collection unit 400; the output end of the scheduling control processing unit 500 is connected to the supply logistics scheduling unit 600 and the supply scheduling feedback unit 700.

[0043] The input end of the customer data collection unit 100 is connected to a client collector 110, and the input end of the client collector 110 is connected to multiple clients 102. The e-commerce data collection unit 200 is connected to an e-commerce terminal collector 210, and the input end of the e-commerce terminal collector 210 is connected to multiple e-commerce terminals 202. The data collected by the client collector 110 is customer-oriented data, while the data collected by the e-commerce terminal collector 210 is e-commerce-oriented data. One e-commerce terminal 202 corresponds to multiple clients 102, and one client 102 may also correspond to multiple e-commerce terminals 202. Some clients 102 may not be associated with any e-commerce terminal 202. For example, a customer may purchase or select the same product on different e-commerce terminals 202. Some customers do not use an e-commerce terminal 202 for shopping at all.

[0044] The input end of the logistics data collection unit 300 is connected to a distribution point collector 310. The input end of the distribution point collector 310 is connected to multiple distribution points 302 and multiple logistics nodes 304 corresponding to the distribution points 302. The input end of the supply collection unit 400 is connected to a supply collector 410. The input end of the supply collector 410 is connected to the marketing headquarters 802, the manufacturing headquarters 902, multiple manufacturing terminals 912, as well as the supply nodes 804 located at the marketing headquarters 802, the supply nodes 904 located at the manufacturing headquarters 902, and the supply nodes 914 located at the manufacturing terminals 912. The data collected by the distribution point collector 310 is distribution point-oriented. A distribution point 302 may correspond to one or more e-commerce terminals 202. An e-commerce terminal 202 may also correspond to one or more distribution points 302. The distribution point and the e-commerce terminal may be the same entity or different entities. For example, one distribution point may have its own e-commerce platform, while another distribution point may sell on a comprehensive shopping website or a shopping website that allows franchisees to join.

[0045] The output end of the supply logistics scheduling unit 600 is connected to the marketing headquarters 802 and multiple distribution points 302 respectively, and the output end of the supply scheduling feedback unit 700 is connected to the marketing headquarters 802 and the manufacturing headquarters 902 respectively.

[0046] Through the cooperation of the intelligent control server, the supply chain logistics scheduling system, the client collector 110, the e-commerce end collector 210, the distribution point collector 310 and the supply collector 410, the data information of each end of the supply chain can be effectively collected, processed and analyzed, and the data of the e-commerce end 202 and the client 102 can be effectively collected and predicted according to the characteristics of e-commerce customers. The supply data and supply logistics can be effectively monitored and counted, which can not only realize the intelligent control and feedback compensation of the supply chain logistics scheduling, reduce logistics losses, and improve the efficiency of logistics scheduling, but also effectively allocate supply demand, reduce supply warehousing pressure, and reduce the occurrence of supply shortages and supply surpluses, further realizing the intelligent control and precise guarantee of supply chain logistics scheduling.

[0047] Figure 3 A topological diagram showing the role of an intelligent control server in a supply chain according to an embodiment of the present invention is shown. Figure 4 Schematic diagram of the overall supply chain topology according to an embodiment of the present invention. Figure 4 , the product components provided by the supply node 914 of the manufacturing end 912 are transported to the supply node 904 of the manufacturing headquarters 902, and are integrated and assembled at the manufacturing headquarters 902 to form the final product. The final product is supplied to the supply node 804 of the marketing headquarters 802 through the supply node 904 of the manufacturing headquarters 902. The marketing headquarters 802 performs scheduling control and can sell the final product directly or transport it to various distribution points 302 for sale. The distribution point 302 has its own logistics node 304, which can sell the final product through or without the e-commerce end 202. The client 102 can also make reservations, purchases, returns, exchanges, etc. directly through the distribution point 302 or the marketing headquarters 802 without going through the e-commerce end 202. Figure 3 The client collector 110, e-commerce collector 210, distribution point collector 310, and supply collector 410 aggregate data from the client 102, e-commerce 202, distribution point 302, and supply node data from the marketing headquarters 802, manufacturing headquarters 902, and manufacturing end 912, respectively, into the intelligent control server. The intelligent control server aggregates, processes, analyzes, and compares the data, identifies any demand anomalies, and then sends instructions, ultimately providing feedback to the distribution point 302 and marketing headquarters 802, or to the marketing headquarters 802 and manufacturing headquarters 902.

[0048] Figure 5A schematic diagram of a client collector 110 according to an embodiment of the present invention is shown. Client collector 110 is equipped with a client data prediction module 132. The input of client data prediction module 132 is connected to client demand data module 112 and client logistics data module 122. The output of client data prediction module 132 is signal-connected to client data collection unit 100.

[0049] The client collector 110 can perform demand analysis and logistics monitoring on the acquired customer-related data. It can not only predict the supply demand according to the customer demand points, ensure the warehousing guarantee of the supply chain logistics scheduling, reduce the warehousing pressure, provide effective data reference for the manufacturing end 912 and the manufacturing headquarters 902, reduce their preparation pressure and preparation cost, but also accurately control the logistics scheduling by monitoring the logistics status of the client 102, and collect the feedback data of the client 102 on the acceptance of the supplied goods, increase the accuracy of the demand analysis, and further feedback to the manufacturing end 912 and the manufacturing headquarters 902 to ensure the stability of the supply chain and reduce supply risks.

[0050] Figure 6 The figure shows a schematic diagram of an e-commerce collector 210 according to an embodiment of the present invention. The e-commerce collector 210 is equipped with an e-commerce data prediction module 232. The input of the e-commerce data prediction module 232 is connected to the customer browsing data module 212, the distribution data module 214, and the distribution logistics data module 222. The output of the e-commerce data prediction module 232 is signal-connected to the e-commerce data collection unit 200.

[0051] The e-commerce terminal collector 210 can collect and analyze the distribution data of the e-commerce terminal 202 and the customer access data, and predict and analyze the customer demand and customer demand targets based on data comparison, further reducing the warehousing pressure of the supply chain and realizing timely feedback and regulation of the warehousing volume. It can also perform statistical analysis on the distribution logistics data, and then realize accurate logistics scheduling and logistics coordination of each distribution point 302 and the e-commerce terminal 202 based on the distribution data, realize personalized scheduling of the supply chain on demand, further reduce the warehousing pressure, and improve the sustainability of the supply chain.

[0052] Figure 7 and Figure 8The diagram shows the coordination between the client collector 110 and the e-commerce collector 210 according to an embodiment of the present invention. The client demand data module 112 cooperates with the customer browsing data module 212 and the distribution data module 214, and the distribution logistics data module 222 cooperates with the client logistics data module 122. Through the data exchange and data comparison between the client collector 110 and the e-commerce collector 210, the data forecast of integrated sales and purchase is effectively realized, further improving the accuracy of the forecast results, thereby realizing the precise scheduling and precise feedback of the supply logistics by the supply chain logistics scheduling system, which not only improves the flexibility of the supply logistics, but also effectively reduces the manufacturing pressure and warehousing pressure on the manufacturing end, fully realizing the purpose of supply chain integration, improving the coordination between sales and purchase, and promoting the stability and sustainability of the supply chain.

[0053] According to an embodiment of the present invention, during the operation of the supply chain, the client demand data module 112 collects data on the browsing history, search history, order history and web page stay history of the client 102, and the client logistics data module 122 collects the logistics distribution data, return and exchange logistics data and previous customer logistics data of the client 102. The client demand data module 112 and the client logistics data module 122 process and transform the collected data and transmit it to the client data prediction module 132.

[0054] The customer browsing data module 212 collects the product browsing data of the e-commerce terminal 202 from the client 102, the distribution data module 214 collects the order data of the e-commerce terminal 202, and the order data includes transaction data, return and exchange data, order inquiry data and distribution point purchase data. The distribution logistics data module 222 collects the logistics data of the e-commerce terminal, and the logistics data includes order delivery data, return and exchange logistics data and distribution point logistics data. The customer browsing data module 212, the distribution data module 214 and the distribution logistics data module 222 process and transform the collected data and transmit them to the e-commerce data prediction module 232.

[0055] The client demand data module 112, the customer browsing data module 212 and the distribution data module 214 exchange data, the client logistics data module 122 and the distribution logistics data module 222 exchange data, and verify and summarize their respective data, and then each transmits the verified and summarized data to the corresponding client data prediction module 132 and the e-commerce data prediction module 232. The client data prediction module 132 and the e-commerce data prediction module 232 summarize and analyze the data they receive, perform predictive analysis on customer demand trends, customer demand status and client logistics data, perform predictive analysis on the sales data of the e-commerce end 202, the supply data and order status data of the distribution point 302 of the e-commerce end 202, and then transmit these predictive analysis data to the scheduling general control processing unit 500.

[0056] Figure 9 and Figure 10 The following is a logic diagram of the operation of the supply logistics scheduling unit 600 according to an embodiment of the present invention. The supply logistics scheduling unit 600 includes a supply logistics processing module 612. The input end of the supply logistics processing module 612 is signal-connected to the scheduling control processing unit 500. The output end of the supply logistics processing module 612 is connected to the logistics distribution module 632, the logistics data synchronization module 634, and the return and exchange logistics scheduling module 636. The output ends of the logistics distribution module 632, the logistics data synchronization module 634, and the return and exchange logistics scheduling module 636 are all connected to the marketing headquarters 802 and multiple distribution points 302. The supply logistics scheduling unit 600 can uniformly schedule and control the overall supply chain logistics. According to the scheduling instructions from the collection end and the scheduling control processing unit 500, it can generate a rapid response to achieve intelligent scheduling of supply chain logistics, making the logistics scheduling adaptable, fully meeting the sales channels of the current e-commerce market and satisfying customer needs for variability, and realizing the mutual cooperation between various distribution points and various e-commerce terminals, achieving the effect of unified regulation and multi-faceted scheduling.

[0057] Figure 11 and Figure 12The following figure illustrates the logic diagram of the supply scheduling feedback unit 700 according to an embodiment of the present invention. The supply scheduling feedback unit 700 includes a scheduling feedback compensation module 712. The input of the scheduling feedback compensation module 712 is signal-connected to the scheduling control unit 500. The output of the scheduling feedback compensation module 712 is connected to the supply logistics secondment module 732, the return logistics agent module 734, and the warehousing control module 736. The outputs of the supply logistics secondment module 732 and the return logistics agent module 734 are both signal-connected to the marketing headquarters 802, while the output of the warehousing control module 736 is signal-connected to the manufacturing headquarters 902. Based on the feedback data from the collector and the scheduling instructions from the scheduling control unit 500, the supply scheduling feedback unit 700 can provide accurate feedback on supply logistics and warehousing, meeting the overall control requirements of the manufacturing headquarters. This allows for adjustments to the supply chain's logistics guarantees from the source of supply, effectively providing back-end support for logistics scheduling while ensuring warehousing capacity and reducing warehousing pressure, thereby ensuring the availability of logistics scheduling.

[0058] According to an embodiment of the present invention, supply collector 410 utilizes supply node 804 of marketing headquarters 802, supply node 904 of manufacturing headquarters 902, and supply node 914 of manufacturing end 912 to collect supply data, warehousing data, and supply logistics data from marketing headquarters 802, manufacturing headquarters 902, and manufacturing end 912, and transmits the data to scheduling control processing unit 500. Distribution point collector 310 collects data from distribution points 302 and logistics nodes 304, including but not limited to distribution order data, marketing headquarters dispatch data, logistics delivery data, and delivery logistics data, and aggregates and transforms the data before transmitting it to scheduling control processing unit 500. The scheduling control processing unit 500 aggregates, processes, analyzes, and compares data from the client collector 110, the e-commerce collector 210, the supply collector 410, and the distribution point collector 310. It also identifies anomalies in the demand data from the client 102 and the e-commerce terminal 202. If no anomalies are detected, the supply chain logistics data remains unchanged. If an anomaly is detected, control instructions are transmitted to the supply logistics scheduling unit 600 and / or the supply scheduling feedback unit 700 based on the anomaly data. These anomalies include, but are not limited to, insufficient supply, increased or decreased burden on individual sales points, logistics updates, and insufficient e-commerce inventory during returns and exchanges.

[0059] The supply logistics processing module 612 of the supply logistics scheduling unit 600 receives control instructions, analyzes them, and transmits the data to the logistics distribution module 632, the logistics data synchronization module 634, and the return logistics scheduling module 636. The logistics distribution module 632 can uniformly regulate logistics distribution when the sales burden of a single e-commerce terminal 202 suddenly increases or decreases, providing reinforcements or redirecting the supply of goods along the original distribution route, and regulating the retention or redirection of goods along the pending distribution route. When the supply logistics scheduling unit 600 receives data, the logistics data synchronization module 634 can synchronize logistics data from multiple distribution points 302 and multiple e-commerce terminals 202. It can also synchronize logistics distribution data from the marketing headquarters 802, the manufacturing headquarters 902, and the manufacturing terminal 912. The synchronized data can be used to compare and analyze the distribution data of the logistics distribution module 932, facilitating the determination of changes in the overall demand for supply goods and real-time data updates for logistics scheduling control. The return and exchange logistics scheduling module 636 can provide logistics rescue and replenishment to the nearby e-commerce terminal 202 or distribution point 302 when the original return and exchange e-commerce terminal is short of stock. It can change the logistics destination of the return and exchange through intelligent logistics scheduling, achieve effective and timely customer service, improve the shopping experience of e-commerce customers, and meet supply needs.

[0060] The scheduling feedback compensation module 712 of the supply scheduling feedback unit 700 receives the control instructions, analyzes them, and transmits the data to the supply logistics secondment module 732, the return logistics agent module 734, and the warehousing control module 736. The supply logistics secondment module 732 can second the supply logistics of the marketing headquarters 802, the manufacturing headquarters 902, and the manufacturing end 912, effectively meeting abnormal supply logistics needs. The return logistics agent module 734 can act as an agent to regulate the marketing performance and order data of the e-commerce terminal 202 and the distribution point 302 after the original destination of the return logistics is changed. While improving the service quality for the client 102, it also reduces the communication volume between each e-commerce terminal 202 and each distribution point 302, reduces conflicts, improves delivery efficiency and service quality, meets the directness of secondment or order conversion, and fully enhances the coordination enthusiasm between each distribution point 302 and each e-commerce terminal 202. The warehousing control module 736 can timely control the production scheduling of the manufacturing end 912 when the supply scheduling feedback unit 700 responds, ensuring the supply volume and reducing the storage pressure. Through the cooperation of the intelligent control server, the supply chain logistics scheduling system, the client collector 110, the e-commerce end collector 210, the distribution point collector 310 and the supply collector 410, it is possible to effectively collect, process and analyze data information from each end of the supply chain, effectively collect and predict data from the e-commerce end 202 and the client 102 based on the characteristics of e-commerce customers, and effectively realize the monitoring and statistics of supply data and supply logistics. It can not only realize the intelligent control and feedback compensation of the supply chain logistics scheduling, reduce logistics losses and improve the efficiency of logistics scheduling, but also effectively allocate the supply demand, reduce the pressure on the supply warehousing, and reduce the occurrence of insufficient and excessive supply, further realizing the intelligent control and precise guarantee of supply chain logistics scheduling.

[0061] Figure 13A flow chart of a supply chain intelligent logistics scheduling and control method according to an embodiment of the present invention is shown. In this non-limiting example, the intelligent control server collects data from the client 102, the e-commerce terminal 202, the distribution point 302, and the supply nodes 804, 904, and 914 through various collectors 110, 210, 310, and 410. The data from the supply nodes 804, 904, and 914 comes from the marketing headquarters 802, the manufacturing headquarters 902, and the manufacturing terminal 912. The scheduling control processing unit 500 aggregates, processes, analyzes, and compares the collected data, and determines whether there are any anomalies in the demand data from the client 102 and the e-commerce terminal 202. These anomalies include, but are not limited to, insufficient supply, increased or decreased burden on individual sales points, logistics updates, and insufficient inventory on the e-commerce terminal 202 during returns and exchanges. If an anomaly is present, the scheduling control processing unit 500 sends a control instruction to the supply logistics scheduling unit 600 and / or the supply scheduling feedback unit 700 based on the anomaly data. Otherwise, data collection continues. When the supply logistics processing module 612 of the supply logistics scheduling unit 600 receives a control instruction, it analyzes the instruction and transmits the data to the logistics distribution module 632, the logistics data synchronization module 634, and the return logistics scheduling module 636. When the supply logistics scheduling unit 600 receives data, the logistics data synchronization module 634 synchronizes the logistics data of the distribution point 302 and the e-commerce terminal 202, and synchronizes the logistics distribution data of the marketing headquarters 802, the manufacturing headquarters 902, and the manufacturing terminal 912. When the logistics distribution module 632 receives the data and determines that the sales burden of a single e-commerce terminal 202 has suddenly increased or decreased, it will coordinate and control logistics distribution, including replenishing or rerouting the supply goods on the original distribution route, and regulating or rerouting the supply goods on the pending distribution route. When the original return / exchange e-commerce terminal 202 is determined to be insufficiently stocked, the return / exchange logistics scheduling module 636 receives the data and performs logistics rescue and replenishment on nearby e-commerce terminals 202 or distribution points 302, changing the return / exchange logistics destination through intelligent logistics scheduling. When the scheduling feedback compensation module 712 of the supply scheduling feedback unit 700 receives a control instruction, it analyzes the instruction and transmits the data to the supply logistics secondment module 732, the return / exchange logistics proxy module 734, and the warehousing control module 736. When abnormal demand is determined, the supply logistics secondment module 732 receives the data and secondments the supply logistics of the marketing headquarters 802, the manufacturing headquarters 902, and the manufacturing terminal 912. When the original return / exchange logistics destination is determined to have changed, the return / exchange logistics proxy module 734 receives the data and performs proxy management of the marketing performance and order data of the e-commerce terminal 202 and distribution point 302, thereby reducing the communication volume between the e-commerce terminal 202 and the distribution point 302.The warehouse control module 736 can receive data when the supply scheduling feedback unit 700 responds, and it controls the production scheduling of the manufacturing end 912 to ensure the supply volume and reduce the warehouse pressure.

[0062] Figure 14 The overall control logic diagram of the supply chain logistics scheduling system according to an embodiment of the present invention is shown, which integrates Figure 1 、 5 , 6, 9 and 11, where the direction of the arrows shows the direction of data flow (including instructions). Figure 15 This diagram illustrates the coordination between the marketing headquarters, manufacturing headquarters, and manufacturing terminals, as well as the coordination between the distribution points, e-commerce terminals, and customer terminals, according to an embodiment of the present invention. Marketing headquarters 802 is connected to supply node 804 located at the marketing headquarters; manufacturing headquarters 902 is connected to supply node 904 located at the manufacturing headquarters; manufacturing terminal 912 is connected to supply node 914 located at the manufacturing terminal; and distribution point 302 is connected to logistics node 304 located at the distribution point. The coordinated interaction of supply nodes 804, 904, and 914 with logistics node 304 effectively achieves unified control of the entire supply chain, reduces the difficulty of controlling the supply chain logistics scheduling system, and fully ensures the stability of supply chain logistics scheduling.

[0063] Figure 15 The diagram further illustrates that marketing headquarters 802 is connected to manufacturing headquarters 902 via supply node 804 located there and supply node 904 located there. Marketing headquarters 802 is also connected to manufacturing end 912 via supply node 804 located there and supply node 914 located there. The configuration of supply nodes 804, 904, and 914 effectively enables multi-party coordination and mutual supply transfers between manufacturing end 912, manufacturing headquarters 902, and marketing headquarters 802. Furthermore, the configuration effectively coordinates data collection and logistics scheduling feedback control within the supply chain logistics scheduling system, significantly reducing warehousing pressure, ensuring work arrangements at the manufacturing end, reducing supply difficulties, and providing guarantees for supply logistics.

[0064] Figure 15It is further shown that the output end of the marketing headquarters 802 is also connected to the headquarters logistics control device 806, and the output end of the logistics node 304 set at the distribution point 302 is also connected to the distribution logistics control device 306, and the headquarters logistics control device 806 and the distribution logistics control device 306 cooperate with each other. The cooperation between the headquarters logistics control device 806 and the distribution logistics control device 306 realizes the precise control of logistics scheduling and data feedback. In the event of returns, insufficient goods, excessive goods, and abnormal demand, it can realize the precise regulation of each logistics distribution, realize the on-demand allocation, adaptive scheduling and risk emergency response of supply chain logistics, thereby ensuring the stability of the supply chain and improving customer satisfaction. In some embodiments, the headquarters logistics control device 806 and the distribution logistics control device 306 can be expressed as Figure 3 The modules in each unit are equipped with interconnected channels.

[0065] Figure 15 The diagram further illustrates that marketing headquarters 802 is connected to distribution points 302 via supply nodes 804 located there and logistics nodes 304 located there. Distribution points 302 are connected to e-commerce terminals 202 via distribution logistics control devices 306. E-commerce terminals 202 are connected to clients 102 via e-commerce platforms. The collaboration between marketing headquarters 802, distribution points 302, and e-commerce terminals 202 enables data collection for both integrated marketing and diversified distribution. Furthermore, in conjunction with data collection and control by clients 102, this effectively enables the supply chain to adapt to the changing needs of e-commerce terminals 202, thereby effectively achieving intelligent control of supply logistics and enabling diversified development of the supply chain.

[0066] The above description is only the best embodiment adopted by this application in combination with current practical needs, but the scope of protection of this application is not limited to this. The present disclosure can be implemented in other specific forms without departing from the spirit or basic characteristics of the present disclosure. The scope of the present invention is defined by the appended claims rather than the foregoing description; therefore, all changes made within the meaning and scope of equivalents of the claims should be included in the present invention.

Claims

1. A supply chain intelligent logistics scheduling control device, comprising an intelligent control server, wherein the intelligent control server is equipped with a supply chain logistics scheduling system, and the supply chain logistics scheduling system includes a scheduling master control processing unit (500); The input end of the scheduling control processing unit (500) is connected to the customer data collection unit (100), the e-commerce data collection unit (200), the logistics data collection unit (300) and the supply collection unit (400); the output end of the scheduling control processing unit (500) is connected to the supply logistics scheduling unit (600) and the supply scheduling feedback unit (700); The input end of the customer data collection unit (100) is connected to a client collector (110), the input end of the client collector (110) is connected to a plurality of clients (102), the e-commerce data collection unit (200) is connected to an e-commerce terminal collector (210), the input end of the e-commerce terminal collector (210) is connected to a plurality of e-commerce terminals (202); The input end of the logistics data collection unit (300) is connected to a distribution point collector (310), the input end of the distribution point collector (310) is connected to multiple distribution points (302) and multiple logistics nodes (304) corresponding to the distribution points; the input end of the supply collection unit (400) is connected to a supply collector (410), the input end of the supply collector (410) is connected to a marketing headquarters (802), a manufacturing headquarters (902), multiple manufacturing terminals (912) and multiple corresponding supply nodes (804, 904, 914); The output end of the supply logistics scheduling unit (600) is connected to the marketing headquarters (802) and the plurality of distribution points (302), and the output end of the supply scheduling feedback unit (700) is connected to the marketing headquarters (802) and the manufacturing headquarters (902). in, The supply logistics scheduling unit (600) includes a supply logistics processing module (612), the input end of the supply logistics processing module (612) is connected to the scheduling control processing unit (500) by signal, the output end of the supply logistics processing module (612) is connected to the logistics distribution module (632), the logistics data synchronization module (634) and the return logistics scheduling module (636), and the output ends of the logistics distribution module (632), the logistics data synchronization module (634) and the return logistics scheduling module (636) are all connected to the marketing headquarters (802) and the multiple distribution centers (802). The points (302) are connected, wherein: the logistics distribution module (632) can uniformly regulate the logistics distribution when the sales burden of a single e-commerce terminal (202) suddenly increases or decreases, and can reinforce or adjust the supply targets of the original distribution path, and regulate the retention or conversion targets of the supply targets of the waiting distribution path; the return and exchange logistics scheduling module (636) can, when the original return and exchange e-commerce terminal is short of stock, provide logistics rescue and replenishment to the nearby e-commerce terminal (202) or distribution point (302), and change the logistics destination of the return and exchange through intelligent logistics scheduling. The supply scheduling feedback unit (700) includes a scheduling feedback compensation module (712), the input end of the scheduling feedback compensation module (712) is connected to the scheduling master control processing unit (500) by signal, the output end of the scheduling feedback compensation module (712) is connected to the supply logistics secondment module (732), the return logistics agent module (734) and the warehousing control module (736), and the output end of the supply logistics secondment module (732) and the return logistics agent module (734) is connected to the marketing headquarters (802) by signal, and the output end of the warehousing control module (736) is connected to the manufacturing headquarters (902) by signal, wherein: the supply The logistics secondment module (732) can second the supply logistics of the marketing headquarters (802), the manufacturing headquarters (902) and the manufacturing end (912), so as to cope with abnormal demand for supply logistics; the return and exchange logistics agent module (734) can act as an agent to regulate the marketing performance and order data of the multiple e-commerce ends (202) and the multiple distribution points (302) after the original destination of the return and exchange logistics is changed, thereby reducing the amount of communication between the multiple e-commerce ends (202) and the multiple distribution points (302); the warehousing regulation module (736) can timely control the production scheduling of the manufacturing end (912), ensure the supply volume, and reduce the warehousing pressure.

2. The supply chain intelligent logistics scheduling control device according to claim 1, wherein: The client collector (110) is equipped with a client data prediction module (132), the input end of the client data prediction module (132) is connected to the client demand data module (112) and the client logistics data module (122), and the output end of the client data prediction module (132) is connected to the client data collection unit (100) by signal.

3. The supply chain intelligent logistics scheduling control device according to claim 2, wherein: The client demand data module (112) collects data on browsing records, search records, order records, and web page stay records of the multiple clients (102).

4. The supply chain intelligent logistics scheduling control device according to claim 2, wherein: The client logistics data module (122) collects the logistics distribution data, return and exchange logistics data and previous customer logistics data of the multiple clients (102).

5. The supply chain intelligent logistics scheduling control device according to claim 2, wherein: The e-commerce terminal collector (210) is equipped with an e-commerce data prediction module (232), the input end of the e-commerce data prediction module (232) is connected to the customer browsing data module (212), the distribution data module (214) and the distribution logistics data module (222), and the output end of the e-commerce data prediction module (232) is connected to the e-commerce data collection unit (200) for signal connection.

6. The supply chain intelligent logistics scheduling control device according to claim 5, wherein: The customer browsing data module (212) collects the commodity browsing data of the multiple clients (102) on the multiple e-commerce terminals (202).

7. The supply chain intelligent logistics scheduling control device according to claim 5, wherein: The distribution data module (214) collects order data from the multiple e-commerce terminals (202), wherein the order data includes transaction data, return and exchange data, order inquiry data, and distribution point purchase data.

8. The supply chain intelligent logistics scheduling control device according to claim 5, wherein: The distribution logistics data module (222) collects logistics data of the multiple e-commerce terminals (202), and the logistics data includes order delivery data, return and exchange logistics data and distribution point logistics data.

9. The supply chain intelligent logistics scheduling control device according to claim 5, wherein: The client demand data module (112) cooperates with the customer browsing data module (212) and the distribution data module (214), and the distribution logistics data module (222) cooperates with the client logistics data module (122).

10. The supply chain intelligent logistics scheduling control device according to claim 1, wherein: The logistics data synchronization module (634) is capable of synchronizing the logistics data of the multiple distribution points (302) and the multiple e-commerce terminals (202), and is capable of synchronizing the logistics delivery data of the marketing headquarters (802), the manufacturing headquarters (902) and the manufacturing terminal (912). The delivery data of the logistics delivery module (632) is compared and analyzed through the synchronized data, thereby determining the changes in the overall demand for the supplied goods and the real-time data update of the logistics scheduling control.

11. The supply chain intelligent logistics scheduling control device according to claim 1, wherein: The marketing headquarters (802) is connected to the supply node (804) set up at the marketing headquarters (802), the manufacturing headquarters (902) is connected to the supply node (904) set up at the manufacturing headquarters (902), the manufacturing end (912) is connected to the supply node (914) set up at the manufacturing end (912), and the distribution point (302) is connected to the logistics node (304) set up at the distribution point (302).

12. The supply chain intelligent logistics scheduling control device according to claim 1, wherein: The output end of the marketing headquarters (802) is connected to a headquarters logistics control device (806), and the output end of the logistics node (304) set at the multiple distribution points (302) is connected to a distribution logistics control device (306), and the headquarters logistics control device (806) and the distribution logistics control device (306) cooperate with each other.

13. The supply chain intelligent logistics scheduling control device according to claim 1, wherein: The marketing headquarters (802) is connected to the manufacturing headquarters (902) via a supply node (804) provided at the marketing headquarters (802) and a supply node (904) provided at the manufacturing headquarters (902), and the marketing headquarters (802) is connected to the manufacturing end (912) via a supply node (804) provided at the marketing headquarters (802) and a supply node (914) provided at the manufacturing end (912).

14. The supply chain intelligent logistics scheduling control device according to claim 12, wherein: The marketing headquarters (802) is connected to the multiple distribution points (302) via a supply node (804) provided at the marketing headquarters (802) and a logistics node (304) provided at the multiple distribution points (302); the multiple distribution points (302) are connected to the multiple e-commerce terminals (202) via the distribution logistics control device (306); and the multiple e-commerce terminals (202) are connected to the multiple clients (102) via the e-commerce platform (208).

15. A supply chain intelligent logistics scheduling control method, the method comprising the following steps: The intelligent control server collects data from the client (102), the e-commerce terminal (202), the distribution point (302) and the supply node (804, 904, 914), wherein the data of the supply node (804, 904, 914) comes from the marketing headquarters (802), the manufacturing headquarters (902) and the manufacturing terminal (912); The dispatching master control processing unit (500) summarizes, processes, analyzes and compares the collected data; The scheduling control processing unit (500) determines whether there is any abnormality in the demand data of the client (102) and the e-commerce terminal (202); If an abnormality exists, the scheduling master control processing unit (500) sends a control instruction to the supply logistics scheduling unit (600) and / or the supply scheduling feedback unit (700) according to the abnormal data; otherwise, data collection continues; a) When the supply logistics scheduling unit (600) receives the data, the logistics data synchronization module (634) synchronizes the logistics data of the distribution point (302) and the e-commerce terminal (202), and synchronizes the logistics distribution data of the marketing headquarters (802), the manufacturing headquarters (902) and the manufacturing terminal (912). b) When it is determined that the sales burden of a single e-commerce terminal (202) suddenly increases or decreases, the logistics distribution module (632) uniformly regulates the logistics distribution, adjusts the supply of goods on the original distribution path to reinforce or change the target, and regulates the retention or change of the supply of goods on the remaining distribution path; c) When it is determined that the original return and exchange e-commerce terminal is short of stock, the return and exchange logistics scheduling module (636) provides logistics assistance and replenishment to the nearby e-commerce terminal (202) or distribution point (302), and changes the logistics destination of the return and exchange through intelligent logistics scheduling; d) When it is determined that there is an abnormal demand, the supply logistics secondment module (732) secondments the supply logistics of the marketing headquarters (802), the manufacturing headquarters (902) and the manufacturing end (912); e) when it is determined that the original destination of the return logistics has changed, the return logistics agent module (734) performs agent regulation on the marketing performance and order data of the e-commerce terminal (202) and the distribution point (302) to reduce the communication volume between the e-commerce terminal (202) and the distribution point (302); f) When the supply scheduling feedback unit (700) responds, the storage control module (736) controls the production scheduling of the manufacturing end (912) to ensure the supply volume and reduce storage pressure.

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