Logistics network income analysis method, device and equipment

Abstract

The invention discloses a revenue analysis method, device and equipment for a logistics network, the method is applied to the technical field of logistics, and the method comprises the steps: obtaining the weekly settlement average weight supplementary collection amount of the logistics network in real time from an advance payment system, and obtaining the parcel collection amount data of a sign-in main table of the logistics network on that day; calculating the ratio of the weekly-settled average weight supplementary collection amount to the parcel collection amount data, and obtaining the single-ticket allocation amount of the logistics network; dynamically merging the single-ticket apportioned amount to a freight discount item, and performing multi-dimensional summary analysis to obtain cost accounting results in different business scenes; determining the rebate amount of the logistics network according to the rebate strategy of the logistics network; and calling an advance payment system interface to synchronize the weekly settlement average weight rebate amount and the rebate amount of the logistics network in real time, and embedding the cost accounting result and the rebate amount of the logistics network into a cost module, so that the full-link cost income is visualized. According to the invention, the cost accounting precision is improved, and the full-link cost income visualization is realized.

Description

Technical Field

[0001] The present invention relates to the field of computer technology, and in particular to a method, device and equipment for analyzing the profitability of a logistics network. Background Art

[0002] The existing revenue analysis system has the following technical flaws: Static data processing: Traditional systems fail to consider the impact of dynamic changes in the weekly average weight (the average weight of goods settled each week) on cost allocation, resulting in insufficient cost accounting accuracy. A single rebate strategy: The system lacks a comprehensive calculation model for incremental rebates (rewards based on business volume growth) and convection incremental rebates (rewards based on two-way cargo flow balance), making it unable to adapt to complex business scenarios. Data silos: The data between the prepayment system, settlement system, and revenue analysis system is fragmented, making it difficult to achieve real-time data interaction and dynamic adjustment. Insufficient visualization: The existing system interface cannot intuitively display multi-dimensional revenue data (single-ticket revenue, hierarchical summary), affecting decision-making efficiency. Summary of the Invention

[0003] The present invention provides a profit analysis method, device and equipment for logistics outlets, which can dynamically merge the allocation results into freight discount items, support multi-dimensional summary analysis by outlets, product structure, weight structure, etc., improve the cost accounting accuracy, and realize the visualization of full-link cost and benefit.

[0004] In one aspect, the present invention provides a method for analyzing the profitability of a logistics network, the method comprising: Obtain the weekly average weighted supplementary collection amount of the logistics outlet in real time from the prepayment system and obtain the collection volume data of the logistics outlet on the same day's receipt master table; Calculate the ratio of the weekly average weight supplementary amount to the collection volume data to obtain the per-ticket apportionment amount of the logistics network; Dynamically merge the single-ticket apportionment amount into the freight discount item, and conduct multi-dimensional summary analysis to obtain cost accounting results under different business scenarios; Determine the rebate amount of the logistics network according to the rebate strategy of the logistics network; The prepayment system interface is called to synchronize the weekly average weighted supplementary amount and the rebate amount of the logistics outlet in real time, and the cost accounting result and the rebate amount of the logistics outlet are embedded in the cost module to visualize the cost and benefit of the entire link.

[0005] In an exemplary embodiment, the single-ticket apportionment amount is dynamically merged into the freight discount item, and a multi-dimensional summary analysis is performed to obtain cost accounting results under different business scenarios, including: Dynamically merge the single-ticket apportionment amount into the freight discount item of the express parcels in the logistics network, and conduct a multi-dimensional hierarchical summary analysis of the express parcels according to network level, product type, weight range, and cargo flow direction; Based on the multi-dimensional hierarchical summary analysis results, the cost accounting results of the express parcel in different business scenarios are obtained; the product type represents the weight type of the express parcel, and the weight type includes standard, lightweight or heavy.

[0006] In an exemplary embodiment, after determining the rebate amount of the logistics network according to the rebate policy of the logistics network, the method further includes: Determine the outlet-level rebate amount for the express parcel based on the rebate policy of the logistics outlet, and determine the customer-level rebate amount for the express parcel based on the customer rebate policy; Determining a rebate amount for the express parcel based on the outlet-level rebate amount and the customer-level rebate amount for the express parcel; The rebate amount is dynamically allocated through a proportional allocation algorithm.

[0007] In an exemplary embodiment, after determining the rebate amount of the logistics network according to the rebate policy of the logistics network, the method further includes: The rebate amount is broken down to the individual ticket level based on the rebate volume of the logistics outlets, and the rebate source is traced by pickup time or customer type. Dynamically adjust the rebate weight of the logistics network based on the ratio of the collection volume to the delivery volume of the logistics network; The rebate amount of the logistics network is adjusted according to the rebate weight and the rebate strategy.

[0008] In an exemplary embodiment, after adjusting the rebate amount of the logistics network according to the rebate weight and the rebate policy, the method further includes: Periodically obtaining the real-time business volume of the logistics network; If the real-time business volume does not reach the preset threshold, a preset leveling mechanism is triggered, and the rebate amount of the logistics outlet is deducted at a preset ratio; The logistics network point is marked and the processed data of the logistics network point is locked.

[0009] In an exemplary embodiment, after embedding the cost accounting results and the rebate amount of the logistics network into a cost module to visualize the cost benefits of the entire chain, the method further includes: The cost accounting result and the rebate amount of the logistics outlet are sent to the terminal device, so that the terminal device adds an incremental rebate field on the pickup and delivery fee details page and displays the field value corresponding to the incremental rebate field; the pickup and delivery fee details page also displays an interactive filter, and the interactive filter is used to select weekly average weight range, rebate type or cargo flow direction as the filtering condition, and generate a comparative analysis chart corresponding to the filtering condition with one click.

[0010] In an exemplary embodiment, after sending the cost accounting result and the rebate amount of the logistics outlet to the terminal device so that the terminal device adds an incremental rebate field on the pickup and delivery fee details page, the method further includes: Based on preset templates, a weekly profit report is automatically generated, including analysis of logistics outlet rebate trends and marking of abnormal outlets; The revenue report is pushed to the management end; the management end is used to display the revenue report and approve the leveling plan or rebate strategy of the logistics network.

[0011] Another aspect provides a revenue analysis device for a logistics network, the device comprising: The module for acquiring the parcel volume data is used to obtain the weekly average weight supplementary collection amount of the logistics network in real time from the prepayment system and obtain the parcel volume data of the logistics network in the main table of the receipt on the same day; A single-ticket allocation module is used to calculate the ratio of the weekly average weight supplementary amount to the collection volume data to obtain the single-ticket allocation amount of the logistics network; The accounting module is used to dynamically merge the single-ticket apportionment amount into the freight discount item and perform multi-dimensional summary analysis to obtain cost accounting results under different business scenarios; A rebate amount determination module, configured to determine the rebate amount of the logistics network point according to the rebate policy of the logistics network point; The rebate synchronization module is used to call the prepayment system interface to synchronize the weekly average rebate amount and the rebate amount of the logistics outlet in real time, and embed the cost accounting results and the rebate amount of the logistics outlet into the cost module to visualize the cost and benefits of the entire link.

[0012] On the other hand, an electronic device is provided, which includes a processor and a memory, wherein the memory stores at least one instruction or at least one program, and the at least one instruction or at least one program is loaded and executed by the processor to implement the above-mentioned logistics network profit analysis method.

[0013] On the other hand, a computer storage medium is provided, which stores at least one instruction or at least one program, and the at least one instruction or at least one program is loaded and executed by a processor to implement the above-mentioned logistics network profit analysis method.

[0014] Another aspect provides a computer program product or computer program, comprising computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to implement the above-described method for analyzing the profitability of a logistics network.

[0015] The method, device, and equipment for analyzing the profitability of logistics outlets provided by the present invention have the following technical effects: The present invention obtains the weekly average weight supplementary amount of the logistics outlet in real time from the prepayment system and obtains the collection volume data of the main table of the logistics outlet's receipt on the same day; calculates the ratio of the weekly average weight supplementary amount to the collection volume data to obtain the single-ticket apportionment amount of the logistics outlet; dynamically merges the single-ticket apportionment amount into the freight discount item, and performs multi-dimensional summary analysis to obtain the cost accounting results under different business scenarios; determines the rebate amount of the logistics outlet according to the rebate strategy of the logistics outlet; calls the prepayment system interface to synchronize the weekly average weight supplementary amount with the rebate amount of the logistics outlet in real time, and embeds the cost accounting result and the rebate amount of the logistics outlet into the cost module to visualize the cost and benefit of the entire link. The present invention can dynamically merge the apportionment result into the freight discount item, support multi-dimensional summary analysis by outlet, product structure, weight structure, etc., improve the cost accounting accuracy, and realize the visualization of the cost and benefit of the entire link. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions and advantages of the embodiments of this specification or the prior art, the following is a brief introduction to the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0017] Figure 1 This is a schematic diagram of a revenue analysis system for a logistics network provided in an embodiment of this specification; Figure 2 This is a flow chart of a method for analyzing the revenue of a logistics network provided in an embodiment of this specification; Figure 3 This is a flowchart of a method for dynamically allocating the rebate amount provided in an embodiment of this specification; Figure 4 This is a flowchart of a method for adjusting the rebate amount of the logistics outlet provided in an embodiment of this specification; Figure 5 This is a flowchart of a method for triggering a preset leveling mechanism based on the real-time business volume of a logistics network, provided by an embodiment of this specification; Figure 6 This is a schematic diagram of the structure of a revenue analysis device for a logistics network provided in an embodiment of this specification; Figure 7 This is a structural diagram of a server provided in an embodiment of this specification. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of this specification to clearly and completely describe the technical solutions in the embodiments of this specification. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention.

[0019] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way are interchangeable where appropriate so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or server that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0020] See also Figure 1 , Figure 1 This is a schematic diagram of a revenue analysis system for a logistics network provided by an embodiment of this specification. Figure 1 As shown, the profit analysis system of the logistics network may include at least a server 01 and a client 02.

[0021] Specifically, in the embodiments of this specification, the server 01 may include a standalone server, a distributed server, or a server cluster consisting of multiple servers. It may also be a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN (Content Delivery Network), and big data and artificial intelligence platforms. Server 01 may include a network communication unit, a processor, and memory, etc. Specifically, the server 01 can be used to obtain the weekly average weight supplementary collection amount of the logistics outlet in real time from the prepayment system and obtain the collection volume data of the logistics outlet's daily receipt main table; calculate the ratio of the weekly average weight supplementary collection amount to the collection volume data to obtain the single-ticket apportionment amount of the logistics outlet; dynamically merge the single-ticket apportionment amount into the freight discount item, and perform multi-dimensional summary analysis to obtain the cost accounting results under different business scenarios; determine the rebate amount of the logistics outlet based on the rebate policy of the logistics outlet; call the prepayment system interface to synchronize the weekly average weight supplementary collection amount and the rebate amount of the logistics outlet in real time, and embed the cost accounting result and the rebate amount of the logistics outlet into the cost module.

[0022] Specifically, in the embodiments of this specification, the client 02 may include physical devices such as smartphones, desktop computers, tablet computers, laptops, digital assistants, smart wearable devices, smart speakers, in-vehicle terminals, and smart TVs. It may also include software running on physical devices, such as web pages provided by service providers to users, or applications provided by these service providers to users. Specifically, the client 02 may be used to display the cost and benefits of logistics outlets.

[0023] The following describes a method for analyzing the profitability of a logistics network of the present invention. Figure 2 It is a flow chart of a method for analyzing the revenue of a logistics network provided in an embodiment of this specification. This specification provides the method operation steps described in the embodiment or flow chart, but may include more or fewer operation steps based on conventional or non-creative labor. The order of steps listed in the embodiment is only one way of executing the steps among many orders, and does not represent the only order of execution. When the actual system or server product is executed, it can be executed in sequence or in parallel (for example, in a parallel processor or multi-threaded processing environment) according to the method shown in the embodiment or the accompanying drawings. Specifically, Figure 2 As shown, the method may include: S201: Obtain the weekly average weight supplementary collection amount of the logistics network in real time from the prepayment system and obtain the collection volume data of the logistics network in the main table of the receipt on the same day. S203: Calculate the ratio of the weekly average weight supplementary amount to the collection volume data to obtain the single-ticket apportionment amount of the logistics network.

[0024] S205: Dynamically merge the single-ticket apportionment amount into the freight discount item, and perform multi-dimensional summary analysis to obtain cost accounting results under different business scenarios.

[0025] For example, the allocation results can be dynamically merged into the freight discount item, supporting summary analysis by multiple dimensions such as outlets, product structure, and weight structure.

[0026] S207: Determine the rebate amount of the logistics network according to the rebate policy of the logistics network.

[0027] S209: Call the prepayment system interface to synchronize the weekly average weighted supplementary amount and the rebate amount of the logistics outlet in real time, and embed the cost accounting result and the rebate amount of the logistics outlet into the cost module to visualize the cost and benefit of the entire link.

[0028] In the embodiment of this specification, data is dynamically integrated: the average weekly supplementary collection amount at the branch level is obtained in real time through the prepayment system, and combined with the collection volume data in the main table of the day's receipt, the supplementary collection amount is evenly distributed to the freight discount item on a per-ticket basis. In some embodiments, the rebate amount and the number of rebated tickets are determined based on the rebate strategy of the logistics outlet and the customer rebate strategy; the single-ticket apportionment amount is dynamically adjusted based on the ratio of the rebate amount to the rebate ticket volume; and the single-ticket rebate value is generated based on the adjusted apportionment amount.

[0029] In some embodiments, the system automatically identifies abnormal situations of sudden increase or decrease in the volume of parcels collected, triggering a manual review process to avoid cost allocation deviations caused by data fluctuations.

[0030] In some embodiments, the single-ticket apportionment amount is dynamically merged into the freight discount item, and a multi-dimensional summary analysis is performed to obtain cost accounting results under different business scenarios, including: Dynamically merge the single-ticket apportionment amount into the freight discount item of the express parcels in the logistics network, and conduct a multi-dimensional hierarchical summary analysis of the express parcels according to network level, product type, weight range, and cargo flow direction; Based on the multi-dimensional hierarchical summary analysis results, the cost accounting results of the express parcel in different business scenarios are obtained; the product type represents the weight type of the express parcel, and the weight type includes standard, lightweight or heavy.

[0031] In the embodiments of this specification, dynamic layered aggregation can be performed according to the network level, product type (such as standard parts, heavy goods), weight range (such as 0-5kg, 5-10kg) and cargo flow direction (such as within the province, across provinces) to ensure the accuracy of cost accounting in different business scenarios.

[0032] In some embodiments, as Figure 3 As shown, after determining the rebate amount of the logistics network according to the rebate policy of the logistics network, the method further includes: S301: Determine a network-level rebate amount for the express parcel according to the rebate policy of the logistics network, and determine a customer-level rebate amount for the express parcel according to the customer rebate policy; S303: Determine the rebate amount for the express package based on the outlet-level rebate amount and the customer-level rebate amount; S305: Dynamically distribute the rebate amount through a proportional allocation algorithm.

[0033] In the embodiments of this specification, a dual-engine rebate distribution mechanism of "tiered leveling + natural week locking" is proposed to address fairness and efficiency issues under complex rebate policies. Incremental rebate tier calculation: Customer-branch linkage: Based on the actual rebate policies of the branch and its customers, the branch-level and customer-level rebate amounts are calculated separately. The leveling amount is then dynamically allocated to the corresponding tiers through a proportional allocation algorithm to ensure that rebate distribution matches business contribution.

[0034] The prepayment system interface synchronizes weekly average rebate and rebate data in real time. Downstream data integration: Rebate calculation results are seamlessly embedded in the cost module, enabling full-chain cost-benefit visualization.

[0035] Build a closed data flow loop for "prepayment-settlement-revenue," achieving second-level synchronization and full-link connectivity. Standardize weekly average rebate and rebate data, enabling real-time interaction with the revenue analysis system through a unified interface protocol.

[0036] If prepayment data is delayed or missing, the system automatically issues an alert and activates cached data to ensure calculation continuity. Downstream cost module integration: Rebate calculation results are embedded in the cost accounting module in real time, dynamically adjusting total costs on the pickup side and enabling simultaneous visualization of costs and revenue. Historical data backtracking: Comparing historical rebate data and cost trends on a weekly and monthly basis assists in long-term strategy formulation.

[0037] In some embodiments, as Figure 4 As shown, after determining the rebate amount of the logistics network according to the rebate policy of the logistics network, the method further includes: S401: Analyzing the rebate amount to the single-ticket level based on the rebate ticket volume of the logistics outlet, and tracing the rebate source by pickup time or customer type. S403: Dynamically adjust the rebate weight of the logistics network according to the ratio of the collection volume to the delivery volume of the logistics network; S405: Adjust the rebate amount of the logistics network according to the rebate weight and the rebate strategy.

[0038] In the embodiments of this specification, the rebate amount is refined to the single-ticket level based on the number of rebated tickets, and the source of the rebate can be traced according to dimensions such as pickup time and customer type. Two-way balance of incremental rebates: Cargo flow balancing algorithm: By analyzing the two-way balance of cargo flow between pickup and delivery at the outlets (such as the ratio of the volume of shipments from outlet A to outlet B to the reverse volume), the rebate weight is dynamically adjusted to encourage outlets to optimize the cargo flow structure. When the ratio of the pickup cargo flow to the volume of delivery is greater than the preset ratio threshold, the rebate weight of the logistics outlet is increased; when the ratio of the pickup cargo flow to the volume of delivery is less than or equal to the preset ratio threshold, the rebate weight of the logistics outlet is reduced; thereby achieving dynamic adjustment of the weight, and finally adjusting the rebate amount of the logistics outlet according to the rebate weight and the rebate strategy; specifically, the adjusted rebate amount can be calculated according to the rebate weight and the rebate strategy; the product of the rebate weight and the rebate amount of the logistics outlet can also be calculated to obtain the adjusted rebate amount.

[0039] In some embodiments, after adjusting the rebate amount of the logistics network according to the rebate weight and the rebate strategy, Figure 5 As shown, the method further includes: S501: Periodically obtain the real-time business volume of the logistics network; S503: If the real-time business volume does not reach the preset threshold, trigger a preset leveling mechanism to deduct the rebate amount of the logistics outlet at a preset ratio; S505: Mark the logistics network point and lock the processed data of the logistics network point.

[0040] In the embodiments of this specification, the rebate period can be set based on actual circumstances, for example, daily. If the branch's business volume does not reach a preset threshold, the system automatically triggers a leveling mechanism, proportionally reducing the rebate amount to avoid excessive subsidies. In some embodiments, if the real-time business volume reaches a preset threshold, the rebate amount for the logistics branch can be increased by a preset percentage, or the current rebate amount can be maintained.

[0041] Calendar week data stacking and locking: After calculating the rebate amount each day, the system automatically marks the processed data and locks it. Subsequent calculations are based only on the newly added data to avoid duplicate statistics and conflicts.

[0042] In some embodiments, after embedding the cost accounting results and the rebate amount of the logistics network into a cost module to visualize the cost and benefit of the entire chain, the method further includes: The cost accounting result and the rebate amount of the logistics outlet are sent to the terminal device, so that the terminal device adds an incremental rebate field on the pickup and delivery fee details page and displays the field value corresponding to the incremental rebate field; the pickup and delivery fee details page also displays an interactive filter, and the interactive filter is used to select weekly average weight range, rebate type or cargo flow direction as the filtering condition, and generate a comparative analysis chart corresponding to the filtering condition with one click.

[0043] In the examples of this manual, the PC and H5 versions of the app have added a new "Incremental Rebate (yuan / ticket)" column after the pickup and delivery fee field, supporting display and export with three decimal places. WPS reports have restructured the income table structure, splitting the "Basic Information" and "Revenue" modules, adding single-ticket income indicators and hierarchical aggregation logic. The value corresponding to the incremental rebate field can be determined based on cost accounting results and the rebate amount of the logistics outlet.

[0044] A multi-terminal layered visualization framework improves data readability and decision-making efficiency. Enhancements to the PC and H5 platforms include: Dynamic Field Expansion: A new "Incremental Rebate (yuan / ticket)" field has been added to the pickup and delivery fee details page, supporting user-defined display precision (e.g., retaining 2 or 3 decimal places). Interactive Filter: Multiple filter options are available, including "by weekly average weight range," "by rebate type," and "by cargo flow direction," allowing for one-click generation of comparative analysis charts.

[0045] WPS report reconstruction: Structural layered design: The original report is split into two modules: "basic information" (branch code, region) and "income details" (total income, single ticket income, incremental rebate ratio), supporting drilling down to customer-level details layer by layer.

[0046] In some embodiments, after sending the cost accounting result and the rebate amount of the logistics outlet to the terminal device so that the terminal device adds an incremental rebate field on the pickup and delivery fee details page, the method further includes: Based on preset templates, a weekly profit report is automatically generated, including analysis of logistics outlet rebate trends and marking of abnormal outlets; The revenue report is pushed to the management end; the management end is used to display the revenue report and approve the leveling plan or rebate strategy of the logistics network.

[0047] In the examples in this manual, the system automatically generates weekly revenue reports based on preset templates, including trend analysis and outlier annotations, and pushes them directly to the management side. Mobile Adaptation: Real-time mobile viewing and approval functions are enabled through the H5 page, allowing management to approve leveling plans or rebate strategies anytime, anywhere.

[0048] In the embodiments of this specification, this technical solution provides a profit analysis method based on weekly average weight. By obtaining the weekly average weight supplementary collection amount at the branch level from the prepayment system in real time, the apportionment result is dynamically merged into the freight discount item, supporting summary analysis by multiple dimensions such as branch, product structure, and weight structure. According to the branch and customer rebate policies, the leveling amount is dynamically allocated based on the ratio of the rebate amount to the number of rebated tickets, and finally the rebate value for a single ticket is generated. Convection incremental rebate: a two-way cargo flow balance algorithm is used, combined with the leveling amount and the business volume threshold, to dynamically adjust the rebate distribution. Natural week stacking mechanism: the data is locked after the final rebate amount is calculated daily to avoid repeated calculations. Real-time synchronization of weekly average weight supplementary collection and rebate data. Downstream data integration: the rebate calculation results are seamlessly embedded in the cost module to achieve full-link cost-benefit visualization. Cost accounting accuracy: The cost deviation rate caused by weekly average weighting was reduced from 8.5% to 1.2%; rebate allocation efficiency: An average of 100,000 rebate calculations are processed daily, reducing the time required; decision-making response speed: Management approval efficiency is improved through mobile terminals, and the processing cycle of abnormal issues is shortened.

[0049] It can be seen from the technical solutions provided by the above embodiments of this specification that the embodiments of this specification obtain the weekly average weight supplementary amount of the logistics outlet in real time from the prepayment system and obtain the collection volume data of the main table of the logistics outlet on the same day; calculate the ratio of the weekly average weight supplementary amount to the collection volume data to obtain the single-ticket apportionment amount of the logistics outlet; dynamically merge the single-ticket apportionment amount into the freight discount item, and perform multi-dimensional summary analysis to obtain the cost accounting results under different business scenarios; determine the rebate amount of the logistics outlet according to the rebate strategy of the logistics outlet; call the prepayment system interface to synchronize the weekly average weight supplementary amount with the rebate amount of the logistics outlet in real time, and embed the cost accounting result and the rebate amount of the logistics outlet into the cost module to visualize the cost and benefit of the entire link. The present invention can dynamically merge the apportionment results into the freight discount item, support multi-dimensional summary analysis by outlets, product structure, weight structure, etc., improve the cost accounting accuracy, and realize the visualization of the cost and benefit of the entire link.

[0050] The embodiment of this specification also provides a profit analysis device for a logistics network, such as Figure 6 As shown, the device includes: The collection volume data acquisition module 610 is used to obtain the weekly average weight supplementary collection amount of the logistics network in real time from the prepayment system and obtain the collection volume data of the logistics network in the main table of the receipt on the same day; The single-ticket allocation module 620 is used to calculate the ratio of the weekly average weight supplementary amount to the collection volume data to obtain the single-ticket allocation amount of the logistics network; The accounting module 630 is used to dynamically merge the single-ticket apportionment amount into the freight discount item and perform multi-dimensional summary analysis to obtain cost accounting results under different business scenarios; A rebate amount determination module 640 is configured to determine the rebate amount of the logistics network according to the rebate policy of the logistics network; The rebate synchronization module 650 is used to call the prepayment system interface to synchronize the weekly average weighted supplementary amount and the rebate amount of the logistics outlet in real time, and embed the cost accounting results and the rebate amount of the logistics outlet into the cost module to visualize the cost benefits of the entire link.

[0051] In an exemplary embodiment, the accounting module includes: A summary analysis unit, configured to dynamically merge the single-ticket apportionment amount into the freight discount item of the express parcels in the logistics network, and perform a multi-dimensional hierarchical summary analysis of the express parcels according to network level, product type, weight range, and cargo flow direction; The accounting result determination unit is used to obtain the cost accounting results of the express parcel in different business scenarios based on the multi-dimensional hierarchical summary analysis results; the product type represents the weight type of the express parcel, and the weight type includes standard parts, lightweight or heavy.

[0052] In an exemplary embodiment, the apparatus further comprises: A first determination module is configured to determine a network-level rebate amount for the express parcel according to the rebate policy of the logistics network, and to determine a customer-level rebate amount for the express parcel according to the customer rebate policy; A second determining module is configured to determine a rebate amount for the express parcel based on the outlet-level rebate amount and the customer-level rebate amount for the express parcel; The dynamic allocation module is used to dynamically allocate the rebate amount through a proportional allocation algorithm.

[0053] In an exemplary embodiment, the apparatus further comprises: A rebate source determination module is used to break down the rebate amount to the individual ticket level based on the number of rebated tickets at the logistics outlet, and to trace the rebate source by pickup time or customer type. A rebate weight adjustment module, configured to dynamically adjust the rebate weight of the logistics network according to the ratio of the collection volume to the delivery volume of the logistics network; A rebate amount determination module is used to adjust the rebate amount of the logistics network point according to the rebate weight and the rebate strategy.

[0054] In an exemplary embodiment, the apparatus further comprises: A real-time business volume acquisition module, used to periodically acquire the real-time business volume of the logistics network; An amount adjustment module, configured to trigger a preset leveling mechanism if the real-time business volume does not reach a preset threshold, and deduct the rebate amount of the logistics outlet at a preset ratio; The data locking module is used to mark the logistics network point and lock the processed data of the logistics network point.

[0055] In an exemplary embodiment, the apparatus further comprises: The field value display module is used to send the cost accounting results and the rebate amount of the logistics network to the terminal device, so that the terminal device adds an incremental rebate field to the collection and delivery fee details page and displays the field value corresponding to the incremental rebate field; the collection and delivery fee details page also displays an interactive filter, which is used to select weekly average weight range, rebate type or cargo flow direction as the filtering condition, and generate a comparative analysis chart corresponding to the filtering condition with one click.

[0056] In an exemplary embodiment, the apparatus further comprises: The revenue report generation module is used to automatically generate weekly revenue reports based on preset templates, including analysis of logistics outlet rebate trends and annotation of abnormal outlets; The revenue report display module is used to push the revenue report to the management end; the management end is used to display the revenue report and approve the leveling plan or rebate strategy of the logistics network.

[0057] The device and method embodiments in the device embodiments are based on the same inventive concept.

[0058] An embodiment of this specification provides an electronic device, which includes a processor and a memory, wherein the memory stores at least one instruction or at least one program, and the at least one instruction or at least one program is loaded and executed by the processor to implement the profit analysis method of the logistics network provided in the above method embodiment.

[0059] An embodiment of the present invention also provides a computer storage medium, which can be set in a terminal to store at least one instruction or at least one program related to a profit analysis method for a logistics outlet in a method embodiment. The at least one instruction or at least one program is loaded and executed by the processor to implement the profit analysis method for the logistics outlet provided by the above method embodiment.

[0060] Embodiments of the present invention further provide a computer program product or computer program, comprising computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to implement the logistics network revenue analysis method provided in the above-described method embodiment.

[0061] Optionally, in the embodiments of this specification, the storage medium may be located in at least one of the multiple network servers in the computer network. Optionally, in this embodiment, the storage medium may include, but is not limited to, a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard drive, a magnetic disk, or an optical disk, among other media capable of storing program code.

[0062] The memory described in the embodiments of this specification can be used to store software programs and modules, and the processor executes various functional applications and data processing by running the software programs and modules stored in the memory. The memory may mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, application programs required for functions, etc.; the data storage area can store data created according to the use of the device, etc. In addition, the memory may include a high-speed random access memory and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other volatile solid-state storage device. Accordingly, the memory may also include a memory controller to provide the processor with access to the memory.

[0063] The profit analysis method of the logistics network provided in the embodiments of this specification can be executed in a mobile terminal, a computer terminal, a server or a similar computing device. Taking running on a server as an example, Figure 7 This is a hardware structure diagram of a server for a method of analyzing the revenue of a logistics network provided by an embodiment of this specification. Figure 7As shown, the server 700 may vary significantly depending on configuration or performance. It may include one or more central processing units (CPUs) 710 (CPUs 710 may include, but are not limited to, processing devices such as microprocessors (MCUs) or programmable logic devices (FPGAs), memory 730 for storing data, and one or more storage media 720 (e.g., one or more mass storage devices) for storing applications 723 or data 722. The memory 730 and storage media 720 may be either transient or persistent storage. The program stored in the storage medium 720 may include one or more modules, each of which may include a series of instruction operations on the server. Furthermore, the CPU 710 may be configured to communicate with the storage medium 720 to execute the series of instruction operations in the storage medium 720 on the server 700. The server 700 may also include one or more power supplies 760, one or more wired or wireless network interfaces 750, one or more input and output interfaces 740, and / or one or more operating systems 721, such as Windows Server™, Mac OS X™, Unix™, Linux™, FreeBSD™, etc.

[0064] The input / output interface 740 can be used to receive or transmit data via a network. A specific example of the aforementioned network may include a wireless network provided by the communications provider of the server 700. In one embodiment, the input / output interface 740 may include a network interface controller (NIC), which can be connected to other network devices via a base station to enable communication with the Internet. In another embodiment, the input / output interface 740 may be a radio frequency (RF) module for wireless communication with the Internet.

[0065] It can be understood by those skilled in the art that Figure 7 The structure shown is only for illustration and does not limit the structure of the above electronic device. Figure 7 More or fewer components than shown, or with Figure 7 Different configurations shown.

[0066] It can be seen from the embodiments of the profit analysis method, device, electronic device or storage medium of the logistics network provided by the present invention that the present invention obtains the weekly average weight supplementary collection amount of the logistics network in real time from the prepayment system and obtains the collection volume data of the main table of the logistics network for the day of receipt; calculates the ratio of the weekly average weight supplementary collection amount to the collection volume data to obtain the single-ticket apportionment amount of the logistics network; dynamically merges the single-ticket apportionment amount into the freight discount item, and performs multi-dimensional summary analysis to obtain the cost accounting results under different business scenarios; determines the rebate amount of the logistics network according to the rebate strategy of the logistics network; calls the prepayment system interface to synchronize the weekly average weight supplementary collection amount with the rebate amount of the logistics network in real time, and embeds the cost accounting result and the rebate amount of the logistics network into the cost module to visualize the cost and benefit of the entire link. The present invention can dynamically merge the apportionment result into the freight discount item, support multi-dimensional summary analysis by network, product structure, weight structure, etc., improve the cost accounting accuracy, and realize the visualization of the cost and benefit of the entire link.

[0067] It should be noted that the order in which the embodiments of this specification are presented is for illustrative purposes only and does not represent the superiority or inferiority of the embodiments. Furthermore, the foregoing descriptions are of specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in an order different from that in the embodiments and still achieve the desired results. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0068] The various embodiments in this specification are described in a progressive manner. Similar portions between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from the other embodiments. In particular, the device, equipment, and storage medium embodiments are generally similar to the method embodiments, so their descriptions are relatively simplified. For relevant portions, refer to the descriptions of the method embodiments.

[0069] Those skilled in the art will understand that all or part of the steps of implementing the above embodiments may be accomplished by hardware, or by a program instructing the relevant hardware to accomplish the steps. The program may be stored in a computer storage medium, and the above-mentioned storage medium may be a read-only memory, a disk, or an optical disk, etc.

[0070] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for analyzing the profitability of a logistics network, characterized in that: The method comprises: Obtain the weekly average weighted supplementary collection amount of the logistics outlet in real time from the prepayment system and obtain the collection volume data of the logistics outlet on the same day's receipt master table; Calculate the ratio of the weekly average weight supplementary amount to the collection volume data to obtain the per-ticket apportionment amount of the logistics network; Dynamically merge the single-ticket apportionment amount into the freight discount item, and conduct multi-dimensional summary analysis to obtain cost accounting results under different business scenarios; Determining the rebate amount of the logistics outlet according to the rebate strategy of the logistics outlet; The prepayment system interface is called to synchronize the weekly average weighted supplementary amount and the rebate amount of the logistics outlet in real time, and the cost accounting result and the rebate amount of the logistics outlet are embedded in the cost module to visualize the cost and benefit of the entire link.

2. The method according to claim 1, characterized in that The single-ticket apportionment amount is dynamically merged into the freight discount item, and a multi-dimensional summary analysis is performed to obtain cost accounting results under different business scenarios, including: Dynamically merge the single-ticket apportionment amount into the freight discount item of the express parcels in the logistics network, and conduct a multi-dimensional hierarchical summary analysis of the express parcels according to network level, product type, weight range, and cargo flow direction; Based on the multi-dimensional hierarchical summary analysis results, the cost accounting results of the express parcel in different business scenarios are obtained; the product type represents the weight type of the express parcel, and the weight type includes standard, lightweight or heavy.

3. The method according to claim 1, characterized in that After determining the rebate amount of the logistics network according to the rebate policy of the logistics network, the method further includes: Determine the outlet-level rebate amount for the express parcel based on the rebate policy of the logistics outlet, and determine the customer-level rebate amount for the express parcel based on the customer rebate policy; Determining a rebate amount for the express parcel based on the outlet-level rebate amount and the customer-level rebate amount for the express parcel; The rebate amount is dynamically allocated through a proportional allocation algorithm.

4. The method according to claim 3, characterized in that After determining the rebate amount of the logistics network according to the rebate policy of the logistics network, the method further includes: The rebate amount is broken down to the individual ticket level based on the rebate volume at the logistics outlets, and the rebate source is traced by pickup time or customer type. Dynamically adjust the rebate weight of the logistics network based on the ratio of the collection volume to the delivery volume of the logistics network; The rebate amount of the logistics network is adjusted according to the rebate weight and the rebate strategy.

5. The method according to claim 4, characterized in that After adjusting the rebate amount of the logistics network according to the rebate weight and the rebate strategy, the method further includes: Periodically obtaining the real-time business volume of the logistics network; If the real-time business volume does not reach the preset threshold, a preset leveling mechanism is triggered, and the rebate amount of the logistics outlet is deducted at a preset ratio; The logistics network point is marked and the processed data of the logistics network point is locked.

6. The method according to claim 1, wherein After embedding the cost accounting results and the rebate amount of the logistics network into a cost module to visualize the cost and benefit of the entire chain, the method further includes: The cost accounting result and the rebate amount of the logistics outlet are sent to the terminal device, so that the terminal device adds an incremental rebate field on the pickup and delivery fee details page and displays the field value corresponding to the incremental rebate field; the pickup and delivery fee details page also displays an interactive filter, and the interactive filter is used to select weekly average weight range, rebate type or cargo flow direction as the filtering condition, and generate a comparative analysis chart corresponding to the filtering condition with one click.

7. The method according to claim 6, characterized in that After sending the cost accounting result and the rebate amount of the logistics network to the terminal device so that the terminal device adds an incremental rebate field on the pickup and delivery fee details page, the method further includes: Based on preset templates, a weekly profit report is automatically generated, including analysis of logistics outlet rebate trends and marking of abnormal outlets; The revenue report is pushed to the management end; the management end is used to display the revenue report and approve the leveling plan or rebate strategy of the logistics network.

8. A profit analysis device for a logistics network, characterized in that: The device comprises: The module for acquiring the parcel volume data is used to obtain the weekly average weight supplementary collection amount of the logistics network in real time from the prepayment system and obtain the parcel volume data of the logistics network in the main table of the receipt on the same day; A single-ticket allocation module is used to calculate the ratio of the weekly average weight supplementary amount to the collection volume data to obtain the single-ticket allocation amount of the logistics network; The accounting module is used to dynamically merge the single-ticket apportionment amount into the freight discount item and perform multi-dimensional summary analysis to obtain cost accounting results under different business scenarios; A rebate amount determination module, configured to determine the rebate amount of the logistics network point according to the rebate policy of the logistics network point; The rebate synchronization module is used to call the prepayment system interface to synchronize the weekly average rebate amount and the rebate amount of the logistics outlet in real time, and embed the cost accounting results and the rebate amount of the logistics outlet into the cost module to visualize the cost and benefits of the entire link.

9. An electronic device, characterized in that: The device includes: a processor and a memory, wherein the memory stores at least one instruction or at least one program, and the at least one instruction or at least one program is loaded and executed by the processor to implement the profit analysis method of the logistics network as described in any one of claims 1-7.

10. A computer storage medium, characterized in that The computer storage medium stores at least one instruction or at least one program, and the at least one instruction or at least one program is loaded and executed by the processor to implement the profit analysis method of the logistics network as described in any one of claims 1-7.

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