Multi-level profit sharing operation management system

Abstract

The invention relates to the technical field of profit sharing management, and discloses a multi-level profit sharing operation management system, which comprises a data acquisition module, a profit sharing calculation module, a profit sharing distribution module and a profit feedback module, the data acquisition module is used for acquiring participant data of different levels, including profit sharing proportion, sales data, market feedback data and cost data; the profit sharing calculation module calculates the profit sharing proportion of each hierarchy according to a hierarchy profit sharing rule based on the collected data; the profit sharing distribution module distributes the profit according to the profit sharing proportion; and the income feedback module is used for dynamically adjusting the profit sharing rule and updating the profit sharing proportion. Through a dynamic regulation and control mechanism of multi-level profit sharing, dynamic adjustment of the profit sharing proportion is carried out based on the game theory and the optimization algorithm, the technical effect that the profit sharing proportion is matched with level contribution is achieved, and compared with a rigid mechanism of a fixed profit sharing proportion in the prior art, the defect that profit sharing cannot adapt to market changes is overcome.

Description

Technical Field

[0001] The present invention relates to the technical field of profit sharing management, and in particular to a multi-level profit sharing business management system. Background Art

[0002] With the intensification of market competition and the diversification of distribution models, multi-level profit-sharing management systems have become an important part of many industries. This type of system establishes a multi-level profit-sharing system among suppliers, distributors, stores, and consumers, and distributes profits among different levels according to pre-set rules. In general, the existing multi-level profit-sharing system usually distributes profits based on a fixed profit-sharing ratio, and the profit-sharing ratio of each level is determined by historical data, experience, or contractual agreements. This type of system can play a certain role in scenarios where the market environment is relatively stable or the business needs are single, helping to promote cooperation between different levels and expand the market size. However, the traditional fixed-ratio profit-sharing mechanism has certain limitations in flexibility and efficiency when facing a changing market environment and complex hierarchical relationships.

[0003] Although existing technologies have been able to meet the basic needs of profit distribution to a certain extent, their limitations have gradually become apparent as the market environment changes. In a dynamic market environment, the traditional fixed profit ratio mechanism is difficult to adapt to changes caused by promotion investment, regional differences or market demand fluctuations, resulting in resource allocation that may not match actual contributions. In addition, existing technologies lack a complete mechanism in data collection, profit calculation and dynamic feedback. For example, in the case of insufficient real-time data collection and processing capabilities, profit calculations may not fully reflect the actual performance of each level, thereby affecting the fairness and rationality of profit distribution. At the same time, the optimization method for profit ratios in existing systems is relatively simple, usually based only on static data, lacks the ability to dynamically adjust, and cannot maximize global benefits in a complex and changing environment. These problems may limit the applicability of profit-sharing systems in more efficient and dynamic market environments. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides a multi-level profit-sharing business management system, which solves the problems of rigid profit-sharing rules, lack of dynamic adjustment capabilities, low profit-sharing calculation efficiency and inability to adapt to market changes in the existing multi-level profit-sharing business management system.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: a multi-level profit sharing management system, including a data collection module, a profit sharing calculation module, a profit sharing allocation module and a revenue feedback module; The data collection module is used to collect data of participants at different levels, including profit sharing ratio, sales data, market feedback data and cost data; The profit calculation module calculates the profit ratio of each level based on the collected data and in accordance with the level profit rules; The profit distribution module distributes the income according to the profit distribution ratio; The revenue feedback module is used to dynamically adjust the profit sharing rules and update the profit sharing ratio.

[0006] Preferably, the profit calculation module establishes the profit function and cost function of each level according to the nonlinear relationship between the profit ratio and the revenue and cost, and calculates the profit ratio based on the function.

[0007] Preferably, the profit distribution module distributes the income in a hierarchical manner according to the calculated profit ratio, wherein the profit ratios of different levels satisfy the conservation condition of total profit.

[0008] Preferably, the profit calculation module dynamically adjusts the profit sharing ratio according to the contribution value of each level, and the contribution value is comprehensively determined by the promotion strength, sales volume and market coverage.

[0009] Preferably, the profit calculation module dynamically adjusts the profit ratio through an iterative optimization algorithm, and the algorithm aims to maximize the total profit and meets the conditions that the profit ratio of each level is non-negative and the total profit is conserved.

[0010] Preferably, the revenue feedback module updates the calculation rules of the profit sharing ratio by real-time monitoring of market data, including sales, inventory and consumer feedback.

[0011] Preferably, the revenue feedback module dynamically adjusts the revenue coefficient and elasticity coefficient according to historical profit sharing data and market trend data to adapt to market changes.

[0012] Preferably, the profit-sharing calculation module regards the calculation of multi-level profit-sharing ratios as a profit-sharing game model, and determines the optimal profit-sharing ratio based on the costs, benefits and promotion investment of each level.

[0013] Preferably, the profit-sharing game model constructs a net profit function and derives it to determine the optimal solution for promotion investment at each level, and inputs the optimization result into a profit-sharing allocation module for profit distribution.

[0014] Preferably, the system is applicable to multi-level distribution scenarios of alcoholic beverages, and realizes profit-sharing ratio calculation and allocation by establishing a profit-sharing relationship model among suppliers, distributors, stores and consumers.

[0015] The present invention provides a multi-level profit sharing management system. It has the following beneficial effects: 1. The present invention adopts a dynamic control mechanism of multi-level profit sharing, dynamically adjusts the profit sharing ratio based on game theory and optimization algorithm, and achieves the technical effect of matching the profit sharing ratio with the hierarchical contribution. Compared with the rigid mechanism of fixed profit sharing ratio in the prior art, it solves the problem that profit sharing cannot adapt to market changes.

[0016] 2. The present invention uses a profit-sharing game model, combines the promotion investment and benefit functions at all levels, and designs a profit-sharing optimization calculation method to achieve the effect of maximizing the total system revenue. Compared with the traditional technical means of allocating profits based on experience, it solves the shortcomings of the lack of theoretical support for profit-sharing rules and low allocation efficiency.

[0017] 3. The present invention dynamically updates the revenue and cost model parameters through a real-time data feedback mechanism, thereby achieving the effect that the profit-sharing rules can quickly adapt to market changes. Compared with the static profit-sharing model in the prior art that lacks dynamic feedback capabilities, this solves the problems of delayed profit-sharing adjustments and poor system stability. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a schematic diagram of the system module of the present invention. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the specification of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments 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 creative work are within the scope of protection of the present invention.

[0020] Please see attached Figure 1 , an embodiment of the present invention provides a multi-level profit sharing management system, including a data collection module, a profit sharing calculation module, a profit sharing allocation module and a revenue feedback module; The data collection module is used to collect data from participants at different levels, including profit sharing ratios, sales data, market feedback data, and cost data; The profit calculation module calculates the profit ratio of each level based on the collected data and according to the hierarchical profit rules; The profit distribution module distributes the income according to the profit distribution ratio; The revenue feedback module is used to dynamically adjust the profit sharing rules and update the profit sharing ratio; The profit calculation module establishes the profit function and cost function of each level according to the nonlinear relationship between the profit ratio and the revenue and cost, and calculates the profit ratio based on the function; The profit distribution module distributes the income in a hierarchical manner according to the calculated profit distribution ratio, where the profit distribution ratios at different levels meet the total profit conservation condition; The profit sharing calculation module dynamically adjusts the profit sharing ratio according to the contribution value of each level. The contribution value is determined by the promotion strength, sales volume and market coverage. The profit calculation module dynamically adjusts the profit ratio through an iterative optimization algorithm. The algorithm aims to maximize the total profit and meet the non-negative profit ratio of each level and the conservation of total profit. The revenue feedback module updates the calculation rules of profit sharing ratio by real-time monitoring of market data, including sales, inventory and consumer feedback; The revenue feedback module dynamically adjusts the revenue coefficient and elasticity coefficient based on historical profit sharing data and market trend data to adapt to market changes; The profit-sharing calculation module regards the calculation of multi-level profit-sharing ratios as a profit-sharing game model, and determines the optimal profit-sharing ratio based on the costs, benefits and promotion investment of each level; The profit-sharing game model constructs a net profit function and derives it to determine the optimal solution for promotion investment at each level. The optimization result is then input into the profit-sharing allocation module for profit distribution. The system is applicable to multi-level distribution scenarios of alcoholic beverages. It realizes profit-sharing ratio calculation and allocation by establishing a profit-sharing relationship model between suppliers, distributors, stores and consumers.

[0021] Specifically, in this embodiment, the core function of the data collection module includes obtaining basic data related to profit sharing from various levels. These data mainly cover the following contents: Profit sharing ratio data is used to determine the initial profit sharing value of each level and support the dynamic adjustment of subsequent profit sharing optimization modules; Promotion input data, including the classification information of fixed costs and variable costs, as an important basis for benefit modeling and cost calculation; Historical revenue data is used to analyze and fit market capacity parameters at all levels to provide support for revenue models; Cost data, which records the cost structure information related to promotion investment and is used to establish profit-sharing cost function; Market feedback data, covering real-time sales, inventory dynamics and consumer preferences, is used to update profit-sharing rules and optimize profit-sharing ratios.

[0022] Generally, these data are collected from various sources, including internal system records, external data interface acquisition, and manual input. The system supports a combination of real-time and batch collection to meet the needs of different scenarios. For example, sales data can be updated in real time through an automated system, while market trend data may be imported in batches on a regular basis.

[0023] Specifically, the collection of profit sharing ratio data is the initial condition for the operation of the system, and is usually obtained directly from the company's established profit sharing rules or historical profit sharing records. In some embodiments, the profit sharing ratio can be manually adjusted by the user to adapt to specific market activities or strategic requirements. As an implementation method, the system provides an input interface for the profit sharing ratio, and the user can adjust the initial ratio according to business needs and directly input the adjusted data into the system.

[0024] The collection of promotion input data covers promotion budgets, advertising expenses, market development costs, etc. at all levels. These data may come from the company's internal financial records or manual entry. Generally, the system classifies and manages these input data according to fixed costs and variable costs. As an option, the system can set up a labeling classification function to mark advertising expenses as fixed costs and regional development expenses as variable costs, so that relevant data can be directly called in subsequent modeling.

[0025] In the process of collecting historical revenue data, the system integrates the company's sales records and profit statements to calculate market capacity parameters at all levels. In some embodiments, the system can combine historical revenue data for time series analysis to predict future revenue trends. For example, revenue data at the supplier level can be obtained through wholesale sales records, while revenue data at the store level can be based on retail sales statistics. As an implementation method, the system supports automatic extraction of revenue data from the sales management system and segmented statistics of revenue in different time periods to support the fitting of subsequent revenue models.

[0026] The collection of cost data mainly depends on the classification results of promotion input data. The system will automatically calculate the specific values ​​of fixed costs and variable costs. In general, fixed costs come directly from the company's budget table, while variable costs are dynamically calculated based on sales data and inventory data. For example, the inventory turnover cost at the store level can be calculated through inventory change records and sales quantities. In some embodiments, the system also allows users to define cost structures to meet the personalized needs of different companies.

[0027] The collection of market feedback data involves real-time data monitoring functions, including dynamic updates of sales, real-time changes in inventory consumption, and statistical data on consumer behavior preferences. For example, sales data can be obtained in real time through the order management system, while inventory data can be updated regularly through the inventory management module. In some possible implementations, the system obtains consumer browsing and purchasing preference data through the interface of the e-commerce platform, thereby providing more comprehensive information support for the dynamic feedback module.

[0028] In some embodiments, the data collection module also includes a data preprocessing function for cleaning and normalizing the collected data. In general, the original data may be missing or abnormal, and the system ensures data quality through interpolation, deduplication, and standardization. For example, for missing sales records, the system can fill them based on the average value of adjacent time periods; for sales peaks caused by promotional activities, the system can use smoothing to reduce the impact of outliers.

[0029] The input data of the profit calculation module includes profit ratio, promotion investment, historical income and cost data. The module completes the calculation of profit ratio through the following main steps.

[0030] First, the profit calculation module constructs the profit function of each level. The form of the profit function is determined according to the nonlinear relationship between the profit sharing ratio and the promotion investment, and is used to describe the profit performance of each level in the profit sharing. Specifically, the profit function can be expressed as:

[0031] in, Indicates The income of the level, is the profit coefficient, which is used to reflect the market capacity of this level; is the profit sharing ratio of this level, is the elasticity coefficient of the profit sharing ratio, which is used to describe the impact of the profit sharing ratio on the revenue; is the promotion investment at this level, It is the elasticity coefficient of input, which is used to describe the diminishing marginal returns of input.

[0032] In general, the profit coefficient and elastic modulus , Obtained by fitting historical revenue data and promotion data. As an option, the module can be combined with a time series forecasting model to dynamically adjust the values ​​of these coefficients to adapt to changes in the market environment. For example, during peak sales periods, The value may be revised upward to reflect higher market potential.

[0033] In this embodiment, the profit calculation module also constructs a cost function to describe the relationship between promotion investment and cost. The cost function is generally in the form of:

[0034] in, Indicates The total promotion cost of the level, It is the cost coefficient, which is used to reflect the cost weight of unit input.

[0035] As a possible implementation, the cost factor It can be calculated through historical promotion data and financial data. For example, for a higher level of advertising investment, The value of will be higher than the level of basic promotion only. The module uses the calculation result of the cost function as an important part of the subsequent net profit function.

[0036] Specifically, the profit calculation module constructs a net profit function for each level based on the profit function and the cost function. The net profit function is defined as the profit function minus the cost function, which is used to represent the actual profit of the level in profit sharing. Its expression is:

[0037] in, For the Net income of the level.

[0038] In some embodiments, the profit calculation module uses the net income function for optimization calculation to ensure the reasonable distribution of profit sharing ratio and promotion investment. For example, by taking the derivative of the net income function, the module can calculate the optimal promotion investment for each level. Generally, when the derivative of the net income function with respect to the investment is zero, the promotion investment reaches the optimal value.

[0039] In one possible implementation, the profit calculation module uses an iterative optimization algorithm to dynamically adjust the profit ratio. The optimization goal is to maximize the total revenue of the entire system while satisfying the constraints of the profit ratio. Specifically, the expression of total revenue is:

[0040] The constraints on the profit sharing ratio are:

[0041]

[0042] in, is the total revenue of the system, is the number of levels.

[0043] In order to solve the optimal profit sharing ratio, the profit sharing calculation module uses the Lagrange multiplier method to construct the optimization objective function and calculates the optimal solution by taking the partial derivative of the objective function. In some embodiments, the module can also combine the machine learning model to dynamically predict the profit sharing ratio, thereby further improving the optimization effect.

[0044] The main function of the profit distribution module is to distribute the total revenue of the system to each level according to the profit ratio and revenue results output by the profit calculation module in accordance with the calculation rules. This module needs to process complex hierarchical structures while taking into account the dynamic adjustment characteristics of the profit ratio to ensure that each level obtains a reasonable and actual profit amount. The profit distribution module is closely connected with the data acquisition module and the profit calculation module, providing execution guarantee for the entire profit distribution process.

[0045] Generally speaking, the input of the profit distribution module includes the profit ratio, total revenue and profit distribution rules of each level. The output result of the profit distribution is the actual profit amount corresponding to each level. In order to ensure the transparency and accuracy of the profit distribution, the profit distribution module of the present invention adopts a series of data verification and automatic calculation methods to ensure that the distribution results comply with the established rules and constraints.

[0046] In this embodiment, the profit distribution module calculates the profit amount for each level based on the following core formula. Assume that the total system revenue is , No. The profit sharing ratio of each level is , then The profit sharing amount for each level is:

[0047] in, Indicates The profit sharing amount of each level, represents the total system revenue, Indicates The profit sharing ratio of each level.

[0048] Specifically, the profit distribution module receives the profit ratio data from the profit calculation module and calculates the profit amount of each level through the above formula. In some embodiments, the system also supports the hierarchical accounting function of the profit amount to ensure the hierarchical distribution of the profit amount. For example, for a distribution network with a hierarchical relationship between superiors and subordinates, the system can first allocate the profit amount of the superior level, and then make a secondary distribution to its internal levels according to the profit distribution rules of the superior level.

[0049] As an option, the profit distribution module can adjust the calculation results in combination with user-defined profit distribution rules. Generally, user-defined rules include upper and lower limits of profit distribution amounts, fixed proportion profit distribution, or special condition profit distribution. For example, in certain specific promotional activities, users can set the profit distribution ratio of certain levels to a fixed value that does not change with the total revenue. The system will automatically recognize the rule and adjust the profit distribution results accordingly.

[0050] In one possible implementation, the system supports dynamically adjusting the order of profit distribution according to the performance indicators of a specific level. For example, the system can prioritize profit distribution to the high-performance level, and then distribute the remaining amount to other levels according to the profit distribution ratio. Such a design helps to motivate efficient levels and improve the overall profit distribution efficiency.

[0051] In this embodiment, the profit distribution module also has the function of verifying the profit distribution results. Generally, after the profit distribution amount is completed, the system will automatically verify the following constraints: The sum of the profit sharing amount must be equal to the total system revenue, that is:

[0052] The profit sharing amount of each level must be non-negative, that is ≥0.

[0053] The profit sharing amount for certain specific tiers must meet the upper and lower limits defined by the user.

[0054] If the constraints are not met during the verification process, the system will trigger an automatic correction process. For example, when the profit sharing amount of a certain level exceeds the preset upper limit, the system will adjust the profit sharing amount of that level to the upper limit and redistribute the adjusted difference to other levels.

[0055] In some embodiments, the profit distribution module also supports the storage and traceability of profit distribution history records. Specifically, the system will record the calculation results and profit distribution rules of each profit distribution in the form of a log, and provide a query interface for users to view. For example, users can query the profit distribution records within a specific time period through the system and analyze the changing trend of the profit distribution amount.

[0056] In this embodiment, the profit distribution module is also integrated with the dynamic feedback module. Generally, after the profit distribution is completed, the profit distribution module will pass the profit distribution results and related data to the dynamic feedback module to update the system's profit distribution rules and profit distribution ratios. For example, during the profit distribution process, if it is found that the profit distribution amount of certain levels is always lower than the lower limit, the system will adjust the profit distribution rules or optimize the profit distribution ratio calculation model through the dynamic feedback module to improve the profit distribution level of this level.

[0057] The main function of the revenue feedback module is to dynamically adjust the profit sharing rules and profit sharing calculation model parameters by monitoring and analyzing the profit sharing distribution results and real-time market data, thereby ensuring the flexibility and adaptability of the profit sharing mechanism. The revenue feedback module is closely connected with the data collection module, profit sharing calculation module and profit sharing distribution module, providing adjustment basis and optimization support for the system. In general, the revenue feedback module needs to process the data after profit sharing distribution and the market feedback data collected in real time to optimize the system operation efficiency and the balance of interest distribution at all levels.

[0058] The revenue feedback module of the present invention monitors the profit distribution results and combines dynamic market data to update the parameters in the revenue function and cost function in real time, and readjusts the profit distribution rules when necessary. The technical implementation of the revenue feedback module is described in detail below.

[0059] In this embodiment, the input data of the revenue feedback module includes the profit distribution results generated by the profit distribution module and the market feedback data provided by the data collection module. The module first analyzes the profit distribution results, focusing on the following key data: Whether the profit sharing amount of each level is within the upper and lower limits defined by the user; Whether the total profit distribution of the system reaches the goal of maximizing profits; Whether the profit share at a specific level is too low or too high, resulting in an imbalance of interests.

[0060] Generally, the module will optimize the profit-sharing model based on these analysis results. For example, if the profit-sharing amount of a certain level is lower than the lower limit for a long time, the profit feedback module will adjust the profit coefficient of that level to increase its priority in profit-sharing.

[0061] Specifically, the revenue feedback module will dynamically adjust the parameters in the revenue function and cost function based on market feedback data. The revenue coefficient in the revenue function is used to reflect the market capacity of the level, and the module updates it in real time by analyzing historical sales data, promotion investment and market performance. For example, if the sales performance of a certain level in a specific promotion is much higher than expected, the module will appropriately increase its revenue coefficient so that it can be given a higher weight in the subsequent profit calculation.

[0062] As an option, the revenue feedback module can also dynamically adjust the elasticity coefficient in the revenue function to optimize the impact of the profit sharing ratio on revenue. For example, when market competition intensifies, the module can reduce the elasticity coefficient of the profit sharing ratio, making the impact of changes in the profit sharing ratio on revenue smoother, thereby improving the stability of the system.

[0063] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

[0064] In this embodiment, the parameter adjustment of the cost function is mainly completed by analyzing the relationship between promotion investment and actual income. In general, the cost coefficient in the cost function is determined by the promotion investment data. If the promotion investment efficiency of a certain level continues to decline (that is, the income corresponding to the unit investment decreases), the module will appropriately increase the cost coefficient, thereby limiting the excessive profit of this level in the subsequent profit calculation.

[0065] In some embodiments, the revenue feedback module also includes a dynamic adjustment function for profit sharing rules. Generally, the adjustment of profit sharing rules includes the following situations: To balance the overall revenue structure of the system, the module can set an upper or lower limit on the profit sharing ratio of a specific level; When the market environment changes significantly, the module can reallocate the priority weights of different levels to improve the adaptability of the system.

[0066] In this embodiment, the revenue feedback module also provides a data visualization function, which allows users to intuitively view the effect of profit sharing adjustments. Generally, the module will display the trend of profit sharing amounts at each level, the adjustment of the profit coefficient, and the analysis results of market feedback data in the form of charts. As an option, users can also set adjustment strategies for profit sharing rules through the interface, such as specifying the profit priority or dynamic adjustment cycle of a certain level.

[0067] In one possible implementation, the module supports users to manually input supplementary information for optimizing the adjustment logic. For example, when a certain level of market strategy changes significantly (such as adding new channels or expanding regions), users can input relevant information through the module, and the system will automatically modify the profit sharing model.

[0068] In this embodiment, the revenue feedback module also provides an interactive interface with other modules. The module will regularly pass the adjusted revenue function and cost function parameters to the profit calculation module, and store the updated profit rules in the system configuration file. In addition, the module will record the profit results and market feedback data in the form of logs for users to query and analyze.

[0069] In one possible implementation, the module dynamically modifies the cost coefficient by monitoring inventory changes, consumer preferences, and market demand fluctuations in real time. For example, when the inventory turnover rate of a certain level is significantly accelerated, the module can reduce its cost coefficient to encourage it to invest more in promotion.

Claims

1. A multi-level profit sharing management system, characterized in that: It includes data collection module, profit calculation module, profit distribution module and income feedback module; The data collection module is used to collect data of participants at different levels, including profit sharing ratio, sales data, market feedback data and cost data; The profit calculation module calculates the profit ratio of each level based on the collected data and in accordance with the level profit rules; The profit distribution module distributes the income according to the profit distribution ratio; The revenue feedback module is used to dynamically adjust the profit sharing rules and update the profit sharing ratio.

2. A multi-level profit sharing management system according to claim 1, characterized in that: The profit calculation module establishes the profit function and cost function of each level according to the nonlinear relationship between the profit ratio and the revenue and cost, and calculates the profit ratio based on the function.

3. A multi-level profit sharing management system according to claim 1, characterized in that: The profit distribution module distributes the income in a hierarchical manner according to the calculated profit ratio, wherein the profit ratios of different levels satisfy the conservation condition of total profit.

4. A multi-level profit sharing management system according to claim 1, characterized in that: The profit sharing calculation module dynamically adjusts the profit sharing ratio according to the contribution value of each level, and the contribution value is comprehensively determined by the promotion strength, sales volume and market coverage.

5. A multi-level profit sharing management system according to claim 4, characterized in that: The profit calculation module dynamically adjusts the profit ratio through an iterative optimization algorithm. The algorithm aims to maximize the total profit and meets the conditions of non-negative profit ratio of each level and conservation of total profit.

6. A multi-level profit sharing management system according to claim 1, characterized in that: The revenue feedback module updates the calculation rules of the profit sharing ratio by real-time monitoring of market data, including sales, inventory and consumer feedback.

7. A multi-level profit sharing management system according to claim 1, characterized in that: The revenue feedback module dynamically adjusts the revenue coefficient and elasticity coefficient according to historical profit sharing data and market trend data to adapt to market changes.

8. A multi-level profit sharing management system according to claim 1, characterized in that: The profit-sharing calculation module regards the calculation of multi-level profit-sharing ratios as a profit-sharing game model, and determines the optimal profit-sharing ratio based on the costs, benefits and promotion investment of each level.

9. A multi-level profit sharing management system according to claim 8, characterized in that: The profit-sharing game model constructs a net profit function and derives it to determine the optimal solution for promotion investment at each level, and inputs the optimization result into the profit-sharing allocation module for profit distribution.

10. An application of a multi-level profit sharing management system, according to a multi-level profit sharing management system according to any one of claims 1 to 9, characterized in that: The system is applicable to multi-level distribution scenarios of alcoholic beverages, and realizes profit-sharing ratio calculation and allocation by establishing a profit-sharing relationship model among suppliers, distributors, stores and consumers.

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