CN117196555A - Commission calculation method, device, terminal and storage medium - Google Patents

Abstract

The invention discloses a commission calculation method, device, terminal and storage medium, which belongs to the technical field of commission calculation. The method includes: receiving a cooperation agreement text, identifying and parsing the cooperation agreement text, and obtaining an agreement analysis result; according to the The agreement analysis results, combined with the preset calculation template, generate calculation rules under the current cooperation agreement text; obtain transaction data from each external sales platform, bring the transaction data into the calculation rules for commission calculation, and obtain the calculation The calculation results are then sent to the user end. This application uses a highly intelligent method to obtain commission calculation rules, and at the same time allows users to intervene and adjust the commission calculation rules, achieving a more accurate, efficient and flexible integrated commission calculation process.

Description

Commission calculation method, device, terminal and storage medium

Technical field

The present invention relates to the technical field of commission calculation, and in particular, to a commission calculation method, device, terminal and storage medium that automatically configures calculation rules by identifying a cooperation agreement.

Background technique

Commission calculation involves many aspects of complexity, including transaction types, calculation rules, changing cooperation conditions, and the application of laws and regulations. However, many traditional commission calculation processes still rely on cumbersome manual operations and rule configurations, which can easily lead to inaccurate calculations. Accuracy, disputes over calculation results, and waste of resources. As the scale of the enterprise expands and the number of partnerships increases, the difficulty of manually processing commission calculations becomes more prominent. In a large amount of cooperation agreements and transaction data, accurate and efficient commission calculations become crucial. Existing solutions such as spreadsheets and specially developed software applications can simplify the calculation process to some extent, but there are still difficulties and limitations in dealing with complex cooperation agreements and frequent changes in the agreement.

With the development of natural language processing technology and computer algorithms, people are gradually realizing the potential of these technologies in the field of contract management. Natural language processing technology can process text data, identify key terms and entities, and help understand the content of cooperation agreements, while computer algorithms can automatically generate complex commission calculation rules, reducing the burden of manual configuration. However, there is currently no comprehensive system that can completely integrate these technologies. Existing commission calculation methods and tools still have shortcomings in meeting complex business needs and improving calculation efficiency.

Therefore, realizing the integration of automatic cooperation agreement parsing, calculation rule generation and user intervention is an urgent problem that needs to be solved by those skilled in the art.

Contents of the invention

In order to make up for the shortcomings of the existing technology and provide a comprehensive and automated commission calculation method, device, terminal and storage medium to achieve a more accurate, efficient and flexible calculation process, this application provides an automatic commission calculation method by identifying cooperation agreements. Configure commission calculation methods, devices, terminals and storage media for calculation rules.

In the first aspect, this application provides a commission calculation method, adopting the following technical solution:

A commission calculation method, including the following steps:

Receive the cooperation agreement text, identify and parse the cooperation agreement text, and obtain the agreement analysis result;

Based on the agreement analysis results and combined with the preset calculation template, generate calculation rules corresponding to the current cooperation agreement text;

Obtain transaction data from each external sales platform, bring the transaction data into the calculation rules for calculation, and then send the calculation results to the user end after obtaining the calculation results.

By adopting the above technical solutions, comprehensive and automated commission calculations are achieved, which is beneficial to reducing manual load, calculating commissions quickly and accurately, and greatly improving the efficiency and accuracy of commission accounting under large order volumes and complex rules.

Preferably, the step of receiving the cooperation agreement text, identifying and analyzing the cooperation agreement text, and obtaining the agreement analysis result specifically includes the following steps:

Receive the cooperation agreement text, and perform preprocessing on the cooperation agreement text. The preprocessing includes any one or more of three methods: character standardization, punctuation mark removal, and case conversion. Word segmentation technology is used to preprocess the preprocessed text. The processed cooperation agreement text is divided into text structures, and the text structures include paragraphs, sentences and words;

The text structure is identified through the preset named entity recognition model to obtain key entity information. The key entity information at least includes commission ratio, commission sharing conditions, cooperation period and cooperation agreement name. Through the preset dependency syntax analysis model The text structure is identified to obtain a grammatical structure, and both the key entity information and the grammatical structure correspond to the cooperation agreement text,

Perform semantic analysis on the cooperation agreement text in combination with the key entity information and the grammatical structure, obtain a semantic analysis result corresponding to the cooperation agreement text, and combine the key entity information, the grammatical structure and the semantics The analysis results are summarized to form the protocol analysis results.

Through the above-mentioned multiple technical links, the automatic analysis of the cooperation agreement and the extraction of key information are realized, which lays the foundation for the generation of subsequent calculation rules and the commission calculation process, provides technical support, and helps ensure the accuracy of subsequent calculation data.

Preferably, the calculation rules corresponding to the current cooperation agreement text are generated based on the agreement analysis results and a preset calculation template, which specifically includes the following steps:

According to the semantic analysis result in the agreement parsing result, the calculation template suitable for the current cooperation agreement text is selected from the pre-established semantic template library. When the calculation template that conforms to the current cooperation agreement text is selected, When calculating the template, extract and use the selected calculation template, each of the calculation templates has a corresponding cooperation agreement type;

According to the rule framework in the calculation template, the calculation rules applicable to the current cooperation agreement text are generated in combination with the agreement analysis results.

Preferably, selecting the calculation template suitable for the current cooperation agreement text from a pre-established semantic template library specifically includes the following steps:

Search the cooperation agreement name in the key entity information in the semantic template library to determine the cooperation agreement type corresponding to the current cooperation agreement text. The cooperation agreement type is in the semantic template. The library includes one or more alternative calculation templates, and the calculation template matching the semantic analysis result is obtained from the alternative calculation templates according to the semantic analysis result.

Through the above technical solution, the established semantic template library can be used to quickly identify the cooperation agreement type of the current cooperation agreement and determine the calculation template required for the current cooperation agreement, thereby intelligently generating highly adaptable and accurate calculation rules. Ensure the accuracy and flexibility of the calculation process, and help improve the efficiency of the entire calculation process.

Preferably, the transaction data is obtained from each external sales platform, the transaction data is brought into the calculation rules for calculation, and after the calculation results are obtained, the calculation results are sent to the user terminal, specifically including the following steps:

Collect the transaction data from multiple external sales platforms according to preset collection rules, clean the transaction data so that the cleaned transaction data at least includes transaction amount and transaction time, and unify the transaction data into a standard format, and send the transaction data to the calculation rules for subsequent commission calculation;

The key entity information in the cooperation agreement text is mapped to the transaction data, the commission amount is automatically calculated using the calculation rules, and the calculation results are sent to the user terminal, and the calculation results are displayed in the The user interface of the client is displayed to the user through visual elements.

Through the above technical solutions, transaction data from different external platforms are regularly collected, cleaned and integrated to ensure the consistency and accuracy of the data, allowing the system to perform calculations in an automated and real-time manner.

Preferably, mapping the key entity information in the cooperation agreement text to the transaction data and automatically calculating the commission amount using the calculation rules specifically includes the following steps:

Match the transaction time in the transaction data with the cooperation period in the key entity information, filter out all the cooperation agreement texts within the cooperation period and extract the corresponding cooperation agreement text therefrom. Transaction amount: bring the commission ratio, the commission-sharing conditions and the transaction amount in the key entity information into the calculation rules, and use the mathematical algorithms and logical rules in the calculation rules to automatically calculate the commission amount.

Through the above technical solution, the calculation rules are automatically adapted to the transaction data and cooperation agreement content input by the external platform. This solution can handle complex conditions and changing transaction situations, ensuring the efficiency and consistency of calculations.

Preferably, before the step of bringing the transaction data into the calculation rules for commission calculation, the following steps are further included:

After the calculation rules are generated, the calculation rules are sent to the user terminal for review. When the review passes, the confirmation instruction sent by the user end is received and the commission calculation process is executed; when the review fails, the commission calculation rule is received. The correction calculation rule sent by the user terminal is used to perform the commission calculation process.

Through the above technical solution, users can easily modify and optimize the calculation rules on the user side. This step adds an audit level to the generated calculation rules, further ensuring the accuracy of the calculation results. This solution also provides users with independent Control opportunities to adapt to different business scenarios and changes in cooperation agreements to meet different business needs.

In the second aspect, this application provides a commission calculation device that adopts the following technical solution:

A commission calculation device includes the following modules:

The cooperation agreement parsing module is used to receive the cooperation agreement text, identify and parse the cooperation agreement text, and obtain the agreement parsing result;

The calculation rule generation module is used to generate calculation rules under the current cooperation agreement text based on the agreement analysis results and a preset calculation template;

The commission calculation module is used to obtain transaction data from each external sales platform, bring the transaction data into the calculation rules for commission calculation, and send the calculation results to the user end after obtaining the calculation results.

By adopting the above technical solutions, a complete calculation system has been built, which provides necessary software technical support for the integration of contract identification and commission calculation, significantly improves the intelligence and automation level of commission calculation technology, and satisfies the technological requirements. requirements for progress.

In the third aspect, this application provides an intelligent terminal that adopts the following technical solution:

An intelligent terminal includes a memory and a processor. The memory stores at least one instruction, at least a program, a code set or an instruction set. The at least one instruction, at least a program, code set or instruction set is processed by the The server is loaded and executed to implement the commission calculation method as described above.

In the fourth aspect, this application provides a computer-readable storage medium, adopting the following technical solution:

A computer-readable storage medium in which at least one instruction, at least a program, a code set or an instruction set is stored, and the at least one instruction, at least a program, code set or instruction set is loaded by a processor and execute to implement the commission calculation method as described above.

To sum up, this application at least contains the following beneficial effects:

1. This application uses technical means such as cooperation agreement identification and semantic analysis to achieve a highly intelligent calculation rule generation process, helping to reduce manual load, reduce the cost of manual calculation, and avoid the inconvenience caused by the use of office software in the manual accounting process. It also effectively improves the automation of commission calculation and ensures the efficiency and accuracy of calculation.

2. This application adds manual review steps after intelligently and automatically generating calculation rules, so that users can independently intervene in the calculation rules, including correction and optimization of the calculation rules, and further confirm the accuracy of the calculation rules. At the same time, it can also meet the needs of different business scenarios.

Description of the drawings

Figure 1 is a schematic flowchart of a commission calculation method according to an embodiment of the present application.

Figure 2 is a schematic diagram of the calculation rule review process of step S32 in the commission calculation method according to the embodiment of the present application.

Figure 3 is a schematic structural diagram of a commission calculation device according to an embodiment of the present application.

Detailed ways

This application provides a commission calculation method, device, terminal and storage medium that automatically configures calculation rules by identifying cooperation agreements. In order to make the purpose, technical solutions and advantages of this application clearer, the implementation of this application will be further detailed below. illustrate.

An embodiment of a commission calculation method of the present application will be described in further detail below with reference to the accompanying drawings.

A commission calculation method for this application, the process is shown in Figure 1, including the following steps:

S1. Receive the cooperation agreement text, identify and parse the cooperation agreement text, and obtain the agreement analysis results. This step specifically includes the following processes:

S11. Receive the text of the cooperation agreement, and preprocess the text of the cooperation agreement. The preprocessing includes any one or more of three methods: character standardization, punctuation mark removal, and case conversion. Word segmentation technology is used to preprocess the text. The cooperation agreement text is divided into text structures, which include paragraphs, sentences and words.

S12. Use the preset named entity recognition model to identify the text structure and obtain key entity information. The key entity information at least includes commission ratio, commission conditions, cooperation period and name of the cooperation agreement. Use the preset dependency syntax analysis model to analyze the text. The structure is identified and the grammatical structure is obtained. The key entity information and grammatical structure all correspond to the cooperation agreement text.

S13. Perform semantic analysis on the cooperation agreement text based on key entity information and grammatical structure, obtain semantic analysis results corresponding to the cooperation agreement text, and summarize the key entity information, grammatical structure, and semantic analysis results to form agreement parsing results.

The above-mentioned protocol identification and semantic analysis technologies all belong to natural language processing technology. Natural language technology integrates linguistics, computer science and mathematics. Using this technology to scientifically identify and analyze protocol text greatly improves the efficiency of the calculation process. Automation and intelligence while ensuring data accuracy.

S2. Based on the agreement analysis results and the preset calculation template, generate calculation rules corresponding to the current cooperation agreement text. This step specifically includes the following processes:

S21. Based on the semantic analysis results in the agreement parsing results, select a calculation template suitable for the current cooperation agreement text in the pre-established semantic template library. When a calculation template that conforms to the current cooperation agreement text is selected, extract and use the selected calculation template. Computing templates, each computing template has a corresponding cooperation agreement type.

Specifically, the cooperation agreement name in the key entity information is searched in the semantic template library to determine the cooperation agreement type corresponding to the current cooperation agreement text. The cooperation agreement type includes one or more alternative calculation templates in the semantic template library. , according to the semantic analysis results, a calculation template matching the semantic analysis results is obtained from the alternative calculation templates.

S22. Based on the rule framework in the calculation template, combined with the agreement analysis results, generate calculation rules applicable to the text of the current cooperation agreement.

S3. Obtain transaction data from each external sales platform, bring the transaction data into the calculation rules for calculation, and send the calculation results to the user end after obtaining the calculation results. This step specifically includes the following processes:

S31. Collect transaction data from multiple external sales platforms according to the preset collection rules, clean the transaction data so that the cleaned transaction data at least includes transaction amount and transaction time, unify the transaction data into a standard format, and send the transaction data Go to the calculation rules for subsequent commission calculations.

In a specific implementable solution, the system collects transaction data from multiple external sales platforms through API interfaces according to preset sampling rules. The preset sampling rules include regular collection, collection at equal intervals according to the set time period, and collection according to the set time period. Trigger conditions are collected. The collected transaction data comes from different sales platforms, so the data forms are also different. It needs to be cleaned and integrated into a unified format while retaining the required data information; the collected transaction data includes order numbers, products Number, product name, product quantity, transaction amount and transaction time, the above transaction data are used for commission calculation and detailed reports are generated for subsequent review and analysis.

S32. After the calculation rules are generated, the process is as shown in Figure 2. The calculation rules are sent to the user for review. When the review passes, the confirmation instruction sent by the user is received and the commission calculation process is executed; when the review fails, the user receives The correction calculation rules sent by the client are used to perform the commission calculation process.

In the specific implementation of the above method, after the calculation rules are generated, the user can review the calculation rules on the user interface. When the user confirms that the generated calculation rules are correct and clicks the confirmation button on the user interface, the system will execute the calculation rules with the current calculation rules. Calculation process; when the user does not agree with the currently generated calculation rules, the user manually adjusts and optimizes the current calculation rules on the user interface. The adjustments include modifying conditions, adjusting weights, etc. After the adjustment is completed, the system will update the adjusted calculation rules By replacing the original calculation rules and performing subsequent calculations based on the revised calculation rules, this method provides users with the opportunity for autonomous control and meets different business needs.

S33. Match the transaction time in the transaction data with the cooperation period in the key entity information, filter out all cooperation agreement texts within the cooperation period and extract the corresponding transaction amount, and combine the commission ratio, Commission conditions and transaction volume are brought into the calculation rules, and the commission amount is automatically calculated using mathematical algorithms and logical rules in the calculation rules. The calculation results are sent to the user terminal, and the calculation results are displayed to the user through visual elements on the user interface of the user terminal.

The visual elements displayed on the user interface include bar charts, line charts, and data tables. The system uses these visual elements to intuitively present commission calculation results, allowing users to quickly understand various indicators and increase user experience and efficiency.

At the same time, the system also has a multi-level permission management system, which is specifically reflected in the user interface. Through the multi-level permission management system, the user interface ensures that users at different levels can only access functions and data within their permission range. This solution has Helps maintain data security and operational compliance of the system.

Based on the same inventive concept mentioned above, the embodiment of the present application also discloses a commission calculation device. The structure is shown in Figure 3. The device includes the following modules:

The cooperation agreement parsing module is used to receive the cooperation agreement text, identify and parse the cooperation agreement text, and obtain the agreement parsing result.

The calculation rule generation module is used to generate calculation rules corresponding to the text of the current cooperation agreement based on the agreement analysis results and the preset calculation template.

The commission calculation module is used to obtain transaction data from various external sales platforms, bring the transaction data into the calculation rules for commission calculation, and send the calculation results to the user end after obtaining the calculation results.

In a specific implementable solution, the cooperation agreement parsing module includes the following units:

The first cooperation agreement parsing unit is used to receive the cooperation agreement text and preprocess the cooperation agreement text. The preprocessing includes any one or more of character standardization, punctuation mark removal and case conversion, using word segmentation technology. The preprocessed cooperation agreement text is divided into text structures, which include paragraphs, sentences and words.

The second cooperation agreement parsing unit is used to identify the text structure through the preset named entity recognition model and obtain key entity information. The key entity information at least includes commission ratio, commission conditions, cooperation period and cooperation agreement name. Through the preset The dependency syntax analysis model identifies the text structure and obtains the grammatical structure. The key entity information and grammatical structure all correspond to the cooperation agreement text.

The third cooperation agreement parsing unit is used to perform semantic analysis on the cooperation agreement text by combining key entity information and grammatical structure, obtain semantic analysis results corresponding to the cooperation agreement text, and summarize the key entity information, grammatical structure and semantic analysis results to form an agreement. Parse the results.

The cooperation agreement parsing module is one of the core components of this device. It realizes automatic parsing and key information extraction of cooperation agreements through multiple technical links, laying the foundation for further semantic understanding and calculation rule generation.

In a specific implementable solution, the calculation rule generation module includes the following units:

The first calculation rule generation unit is used to select a calculation template suitable for the text of the current cooperation agreement from the pre-established semantic template library based on the semantic analysis results in the agreement analysis result. When a calculation template that conforms to the text of the current cooperation agreement is selected, , extract and use the selected calculation template, each calculation template has a corresponding cooperation agreement type.

The second calculation rule generation unit is used to generate calculation rules suitable for the text of the current cooperation agreement based on the rule framework in the calculation template and combined with the agreement analysis results.

In a specific implementable solution, the commission calculation module includes the following units:

The first commission calculation unit is used to collect transaction data from multiple external sales platforms according to preset collection rules, clean the transaction data, so that the cleaned transaction data includes at least the transaction amount and transaction time, and unify the transaction data into a standard Format, send transaction data to calculation rules for subsequent commission calculation.

The second commission calculation unit is used to generate the calculation rules and send the calculation rules to the user for review. When the review passes, it receives the confirmation instruction sent by the user and executes the commission calculation process; when the review fails, it receives the confirmation instruction from the user. The correction calculation rule is sent and the commission calculation process is performed using the correction calculation rule.

The third commission calculation unit is used to map the key entity information in the cooperation agreement text to the transaction data, automatically calculate the commission amount using calculation rules, and send the calculation results to the user end. The calculation results are displayed on the user end through visual elements on the user interface. displayed to the user.

It can be seen from the above function introduction that the commission calculation device in this application builds a complete commission calculation system, improves the intelligence and automation level of commission calculation technology, improves calculation efficiency, and reduces labor costs. The time difference and error rate caused by accounting promote the sustained, rapid and healthy development of the economy and society.

Based on the same inventive concept mentioned above, embodiments of the present application also disclose a computer-readable storage medium, which stores at least one instruction, at least one program, code set or instruction set, at least one instruction, at least one program, and code set. Or the instruction set can be loaded and executed by the processor to implement the commission calculation method provided by the above method embodiment.

It should be understood that "plurality" mentioned in this article means two or more. "And/or" describes the relationship between related objects, indicating that there can be three relationships. For example, A and/or B can mean: A exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the related objects are in an "or" relationship.

Also based on the same inventive concept mentioned above, embodiments of the present application also disclose a computer-readable storage medium, which stores at least one instruction, at least a program, a code set or an instruction set, and the at least one instruction, At least one program, code set or instruction set is loaded and executed by the processor to implement the commission calculation method as described above.

Those of ordinary skill in the art can understand that all or part of the steps to implement the above embodiments can be completed by hardware, or can be completed by instructing relevant hardware through a program. The program can be stored in the computer-readable storage medium, so The computer-readable storage media includes, for example: U disk, mobile hard disk, read-only memory (Read-OnlyMemory, ROM), random access memory (Random Access Memory, RAM), magnetic disk or optical disk, etc. that can store program codes. medium.

The above are only optional embodiments of the present application and are not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the protection of the present application. within the range.

Claims (10)

1. A commission calculation method, characterized by including the following steps: Receive the cooperation agreement text, identify and parse the cooperation agreement text, and obtain the agreement analysis result; Based on the agreement analysis results and combined with the preset calculation template, generate calculation rules corresponding to the current cooperation agreement text; Obtain transaction data from each external sales platform, bring the transaction data into the calculation rules for calculation, and then send the calculation results to the user end after obtaining the calculation results. 2. The commission calculation method according to claim 1, characterized in that receiving the cooperation agreement text, identifying and parsing the cooperation agreement text, and obtaining the agreement analysis result specifically includes the following steps: Receive the cooperation agreement text, and perform preprocessing on the cooperation agreement text. The preprocessing includes any one or more of three methods: character standardization, punctuation mark removal, and case conversion. Word segmentation technology is used to preprocess the preprocessed text. The processed cooperation agreement text is divided into text structures, and the text structures include paragraphs, sentences and words; The text structure is identified through the preset named entity recognition model to obtain key entity information. The key entity information at least includes commission ratio, commission sharing conditions, cooperation period and cooperation agreement name. Through the preset dependency syntax analysis model The text structure is identified to obtain a grammatical structure, and both the key entity information and the grammatical structure correspond to the cooperation agreement text, Perform semantic analysis on the cooperation agreement text in combination with the key entity information and the grammatical structure, obtain a semantic analysis result corresponding to the cooperation agreement text, and combine the key entity information, the grammatical structure and the semantics The analysis results are summarized to form the protocol analysis results. 3. The commission calculation method according to claim 2, characterized in that the calculation rules corresponding to the current cooperation agreement text are generated based on the agreement analysis result and a preset calculation template, which specifically includes the following steps : According to the semantic analysis result in the agreement parsing result, the calculation template suitable for the current cooperation agreement text is selected from the pre-established semantic template library. When the calculation template that conforms to the current cooperation agreement text is selected, When calculating the template, extract and use the selected calculation template, each of the calculation templates has a corresponding cooperation agreement type; According to the rule framework in the calculation template, the calculation rules applicable to the current cooperation agreement text are generated in combination with the agreement analysis results. 4. The commission calculation method according to claim 3, characterized in that selecting the calculation template suitable for the current cooperation agreement text from a pre-established semantic template library specifically includes the following steps: Search the cooperation agreement name in the key entity information in the semantic template library to determine the cooperation agreement type corresponding to the current cooperation agreement text. The cooperation agreement type is in the semantic template. The library includes one or more alternative calculation templates, and the calculation template matching the semantic analysis result is obtained from the alternative calculation templates according to the semantic analysis result. 5. The commission calculation method according to claim 3, characterized in that the transaction data is obtained from each external sales platform, the transaction data is brought into the calculation rules for calculation, and the calculation result is obtained. The calculation results are sent to the user end, including the following steps: Collect the transaction data from multiple external sales platforms according to preset collection rules, clean the transaction data so that the cleaned transaction data at least includes transaction amount and transaction time, and unify the transaction data into a standard format, and send the transaction data to the calculation rules for subsequent commission calculation; The key entity information in the cooperation agreement text is mapped to the transaction data, the commission amount is automatically calculated using the calculation rules, and the calculation results are sent to the user terminal, and the calculation results are displayed in the The user interface of the client is displayed to the user through visual elements. 6. The commission calculation method according to claim 5, characterized in that the key entity information in the cooperation agreement text is mapped to the transaction data, and the commission amount is automatically calculated using the calculation rules, Specifically, it includes the following steps: Match the transaction time in the transaction data with the cooperation period in the key entity information, filter out all the cooperation agreement texts within the cooperation period and extract the corresponding cooperation agreement text therefrom. Transaction volume: bring the commission ratio, the commission-sharing conditions and the transaction volume in the key entity information into the calculation rules, and use the mathematical algorithms and logical rules in the calculation rules to automatically calculate the commission amount. 7. The commission calculation method according to claim 1, characterized in that, before the step of bringing the transaction data into the calculation rules for calculation, it further includes the following steps: After the calculation rules are generated, the calculation rules are sent to the user terminal for review. When the review passes, the confirmation instruction sent by the user end is received and the commission calculation process is executed; when the review fails, the commission calculation rule is received. The correction calculation rule sent by the user terminal is used to perform the commission calculation process. 8. A commission calculation device, characterized in that it includes the following modules: The cooperation agreement parsing module is used to receive the cooperation agreement text, identify and parse the cooperation agreement text, and obtain the agreement parsing result; A calculation rule generation module, configured to generate calculation rules corresponding to the text of the current cooperation agreement based on the agreement analysis results and a preset calculation template; The commission calculation module is used to obtain transaction data from each external sales platform, bring the transaction data into the calculation rules for calculation, and send the calculation results to the user end after obtaining the calculation results. 9. An intelligent terminal, characterized in that it includes a memory and a processor. The memory stores at least one instruction, at least a program, a code set or an instruction set. The at least one instruction, at least a program, code set or instruction set is stored in the memory. The instruction set is loaded and executed by the processor to implement the commission calculation method according to any one of claims 1 to 7. 10. A computer-readable storage medium, characterized in that the readable storage medium stores at least one instruction, at least a program, a code set or an instruction set, and the at least one instruction, at least a program, code set or The instruction set is loaded and executed by the processor to implement the commission calculation method as described in any one of claims 1 to 7.