Financial and tax order management method, system, computer equipment and storage medium

Abstract

The present application relates to a method, system, computer equipment and storage medium for fiscal and tax order management, which includes obtaining product demand factors, defining dependencies for each product based on the demand factors and a dynamic dependency algorithm; obtaining a user's order creation request, judging the user's product purchase qualifications based on the dependencies, and responding to the order creation request and creating a purchase order when the product purchase qualifications meet the purchase conditions; obtaining the payment status of the purchase order, and dynamically adjusting the life cycle of the purchase order based on the order life cycle intelligent management algorithm when the payment status is paid, and updating the order status in real time; after the life cycle of the purchase order ends, generating work order information related to the purchase order type, thereby triggering a service start message. The present application has the effect of improving the efficiency of fiscal and tax order management.

Description

Technical Field

[0001] The present application relates to the technical field of financial and tax order management, and in particular to a financial and tax order management method, system, computer equipment and storage medium. Background Art

[0002] At present, with the gradual expansion of enterprise business system architecture, the increase in the number of enterprise customers and the increasing number of application services provided, the dependencies between products and services have become more complex. Existing tax order management technologies usually rely on static rule configuration. There are various types of customers in the tax service platform. Different types of customers, such as self-registered users, large corporate customers and channel users, often have different purchase process requirements, but the existing system fails to provide the ability to automatically adjust the purchase process. At the same time, when dealing with the dependencies between products, the existing technology is usually configured through fixed rules, and cannot be dynamically adjusted according to market changes and customer needs, resulting in the inability to meet the needs of complex business scenarios.

[0003] The above-mentioned existing technical solutions have the following defects: the existing financial and tax service platforms lack flexible product dependency management and dynamic adjustment capabilities, and cannot meet the order processing requirements of different customer types and complex needs, resulting in low management efficiency of financial and tax orders, so there is room for improvement. Summary of the invention

[0004] In order to improve the management efficiency of financial and tax orders, the present application provides a financial and tax order management method, system, computer equipment and storage medium.

[0005] The above-mentioned invention objective of the present application is achieved through the following technical solutions: A method for managing a financial and tax order, the method comprising: Obtaining demand factors of products, and defining dependencies for each of the products according to the demand factors and based on a dynamic dependency algorithm; Obtaining a user's order creation request, judging the user's product purchase qualifications based on the dependency relationship, and responding to the order creation request and creating a purchase order if the user's product purchase qualifications meet the purchase conditions; Obtaining the payment status of the purchase order, and if the payment status is paid, dynamically adjusting the life cycle of the purchase order based on an order life cycle intelligent management algorithm, and updating the order status in real time; After the life cycle of the purchase order ends, work order information related to the purchase order type is generated, thereby triggering a service start message.

[0006] By adopting the above technical solution, by obtaining the demand factors of the product and defining the dependency for each product based on the dynamic dependency algorithm, the dependency between products can be accurately managed to ensure that the product can be purchased when the preconditions are met, thereby improving the adaptability of the product and the flexibility of the business process. This method ensures that the relationship between different products is reasonably organized and controlled, avoids the wrong product combination and the purchase of products that do not meet the conditions, and improves the efficiency of product sales and order management; by obtaining the user's order creation request and judging the user's purchase qualification based on the dependency, it can ensure that the system judges whether the user meets the purchase conditions based on the dependency, avoids the submission of orders by users who do not meet the requirements, and reduces the generation of invalid orders, thereby improving the processing efficiency and accuracy of the system; by obtaining the payment status of the purchase order and dynamically adjusting the life cycle of the order when the payment status is paid, the order processing can be automatically promoted according to the payment status of the order, the automation degree of order management is optimized, manual intervention is reduced, and the processing efficiency is improved; by generating work order information related to the purchase order type after the purchase order life cycle ends and triggering the service start message, the subsequent service can be quickly started after the order life cycle ends, ensuring the smooth progress of the service, avoiding delays, and improving customer satisfaction and order completion efficiency.

[0007] In one example, the present application may be further configured as follows: defining a dependency relationship for each of the products according to the demand factors and based on a dynamic dependency relationship algorithm specifically includes: Obtaining functional requirements and service conditions of products, and defining the front-end dependency relationship between products according to the functional requirements and service conditions; The user's purchasing behavior data and the market demand fluctuation situation are obtained, and the dependency relationship between products is dynamically adjusted according to the purchasing behavior data and the demand fluctuation situation.

[0008] By adopting the above technical solution, by obtaining the functional requirements and service conditions of the product, and defining the front-to-back dependencies between products based on these requirements and conditions, it is possible to ensure that the product meets the specific requirements of the business during the sales and delivery process, thereby ensuring that the product's functions meet the needs of the market and customers. This step can reduce customer complaints or service problems caused by unclear dependencies or incorrect configurations by systematically organizing product dependencies, and improve the accuracy of product configuration and the reliability of business processes; by dynamically adjusting the dependencies between products based on user purchase behavior data and market demand fluctuations, it can adapt to changes in market demand in real time, ensuring that the product can adjust the product portfolio in time when market demand peaks, and improving the market adaptability and service flexibility of the product. This dynamic adjustment can ensure the continuous optimization of product portfolios and business processes according to changes in the market environment, enhance the company's ability to respond to changing markets, and improve market competitiveness.

[0009] In one example, the present application may be further configured as follows: dynamically adjusting the dependency relationship between products according to the purchase behavior data and the demand fluctuation situation specifically includes: According to the purchase behavior data of the user, a weighted algorithm is used to calculate the weights of the corresponding products, and the dependency relationships between the products are updated in sequence according to the product weights; Conduct a timing analysis on the market demand fluctuations, and adjust the product dependencies based on the timing analysis results.

[0010] By adopting the above technical solution, by using a weighted algorithm to calculate the weights of the corresponding products based on the user's purchase behavior data, and updating the dependencies between products based on the product weights, the dependencies between products can be made more accurate and scientific. After adopting the weighted algorithm, the system can automatically calculate the importance of each product in the user's order based on the user's historical purchase data, preferences and other factors, and adjust the dependency order between products based on these weights, so that the dependencies are more in line with user needs and the actual market situation, thereby optimizing product recommendations and service matching, and improving the accuracy and efficiency of order processing; by performing a time series analysis on the market demand fluctuations and adjusting the product dependencies based on the time series analysis results, the product dependencies can be adjusted according to the cyclical changes in the market, so that the system can quickly respond to changes in market demand. For example, during peak demand periods, the system can give priority to the dependencies of related products to ensure the smooth sales and delivery of high-demand products, enhance the market sensitivity and flexibility of the system, and thus improve the company's market response capabilities and product sales.

[0011] In one example, the present application may be further configured as follows: judging the user's product purchase qualification based on the dependency relationship specifically includes: Acquire the dependency relationship of the corresponding product according to the order creation request of the user, and query the corresponding purchase condition according to the dependency relationship; The user's qualifications are reviewed based on the purchase conditions, and if the user's qualifications are reviewed and passed, it is determined that the user is eligible to purchase the product.

[0012] By adopting the above technical solution, by obtaining the dependencies of corresponding products according to the user's order creation request, and querying the corresponding purchase conditions according to the dependencies, it can be ensured that when the user submits an order, the system can quickly retrieve and judge the dependencies of the products and the conditions that need to be met, thereby improving the accuracy and efficiency of order processing and reducing the probability of manual intervention and misjudgment; by judging and conducting qualification review based on the purchase conditions, it can effectively control that only qualified users can make purchases, avoiding unreviewed orders from entering the processing flow, thereby improving the legitimacy of the order and the security of the system, ensuring that users who meet the prescribed purchase qualifications can successfully purchase the required services, reducing the risk of non-compliant orders, and ensuring the compliance of orders and the smoothness of the process.

[0013] In one example, the present application may be further configured as follows: dynamically adjusting the life cycle of the purchase order based on the order life cycle intelligent management algorithm and updating the order status in real time, specifically including: According to the current status of the purchase order, automatically calculate and adjust each stage of the life cycle of the purchase order through an intelligent management algorithm; At each stage of the purchase order life cycle, the processing priority of the purchase order is determined in combination with the payment status of the order and the product delivery requirements, and the corresponding order update sequence is adjusted according to the processing priority.

[0014] By adopting the above technical solution, the order processing flow can be optimized by automatically adjusting each stage of the order life cycle according to the current status of the purchase order using the intelligent management algorithm, ensuring that the tasks and operations at each stage can be smoothly advanced according to the priority and business needs. For example, when an order enters the "pending payment" state, the intelligent management algorithm can determine whether the order needs to be processed first. If it is a large order, it will enter the payment verification and approval stage first, and if it is a small order, it will enter the simplified process, which improves the efficiency of order processing and the rationality of resource use; by determining the processing priority of the order at each stage of the purchase order life cycle, combining the payment status of the order and the product delivery requirements, and adjusting the corresponding order update sequence according to the priority, it can reasonably allocate processing resources according to the urgency and importance of the order, thereby avoiding unnecessary delays and waste of system resources, improving the overall work efficiency of the system and the timeliness of order processing, and improving customer experience and system response speed.

[0015] In one example, the present application may be further configured as follows: the financial and tax order management method further includes: The identity information of the user is obtained, and according to the identity information of the user and the order information, the access rights of the user are dynamically adjusted based on an intelligent permission control system.

[0016] By adopting the above technical solution, by obtaining the user's identity information and dynamically adjusting the user's access rights based on the information and order information, it is possible to ensure that users with different identities can access the corresponding order information and functional modules according to their roles and permissions. For example, for users whose orders have not yet been paid, the system can restrict their access to advanced functions related to payment, while users who have completed payment can access the complete service content. Such a permission control mechanism can reduce unnecessary user operations and access, and improve the security and user experience of the system; this dynamic permission adjustment based on identity and order information can be flexibly configured according to the needs and roles of different users, thereby avoiding unnecessary permission leakage, improving data security, and optimizing the management process of the system.

[0017] The second object of the invention is achieved by the following technical solutions: A dependency definition module, used for obtaining demand factors of products, and defining a dependency for each of the products according to the demand factors and based on a dynamic dependency algorithm; An order creation module, used to obtain an order creation request from a user, determine the user's product purchase qualifications based on the dependency relationship, and respond to the order creation request and create a purchase order if the product purchase qualifications meet the purchase conditions; An order payment status management module, used to obtain the payment status of the purchase order, and when the payment status is paid, dynamically adjust the life cycle of the purchase order based on the order life cycle intelligent management algorithm, and update the order status in real time; The work order generation module is used to generate work order information related to the purchase order type after the life cycle of the purchase order ends, thereby triggering a service start message.

[0018] By adopting the above technical solution, by obtaining the demand factors of the product and defining the dependency for each product based on the dynamic dependency algorithm, the dependency between products can be accurately managed to ensure that the product can be purchased when the preconditions are met, thereby improving the adaptability of the product and the flexibility of the business process. This method ensures that the relationship between different products is reasonably organized and controlled, avoids the wrong product combination and the purchase of products that do not meet the conditions, and improves the efficiency of product sales and order management; by obtaining the user's order creation request and judging the user's purchase qualification based on the dependency, it can ensure that the system judges whether the user meets the purchase conditions based on the dependency, avoids the submission of orders by users who do not meet the requirements, and reduces the generation of invalid orders, thereby improving the processing efficiency and accuracy of the system; by obtaining the payment status of the purchase order and dynamically adjusting the life cycle of the order when the payment status is paid, the order processing can be automatically promoted according to the payment status of the order, the automation degree of order management is optimized, manual intervention is reduced, and the processing efficiency is improved; by generating work order information related to the purchase order type after the purchase order life cycle ends and triggering the service start message, the subsequent service can be quickly started after the order life cycle ends, ensuring the smooth progress of the service, avoiding delays, and improving customer satisfaction and order completion efficiency.

[0019] The third objective of the present application is achieved through the following technical solutions: A computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above-mentioned tax order management method when executing the computer program.

[0020] The fourth objective of the present application is achieved through the following technical solutions: A computer-readable storage medium stores a computer program, which implements the steps of the above-mentioned financial and tax order management method when executed by a processor.

[0021] In summary, this application includes the following beneficial technical effects: 1. By obtaining the demand factors of the product and defining the dependency for each product based on the dynamic dependency algorithm, the dependency between products can be accurately managed to ensure that the product can be purchased when the preconditions are met, thereby improving the adaptability of the product and the flexibility of the business process. This method ensures that the relationship between different products is reasonably organized and controlled, avoids incorrect product combinations and the purchase of products that do not meet the conditions, and improves the efficiency of product sales and order management; by obtaining the user's order creation request and judging the user's purchase qualifications based on the dependency, it can ensure that the system judges whether the user meets the purchase conditions based on the dependency, avoids users who do not meet the requirements from submitting orders, and reduces the generation of invalid orders, thereby improving the processing efficiency and accuracy of the system; by obtaining the payment status of the purchase order and dynamically adjusting the order life cycle when the payment status is paid, the order processing can be automatically promoted according to the payment status of the order, optimizing the automation of order management, reducing manual intervention, and improving processing efficiency; by generating work order information related to the purchase order type after the purchase order life cycle ends and triggering the service start message, the subsequent service can be quickly started after the order life cycle ends, ensuring the smooth progress of the service, avoiding delays, and improving customer satisfaction and order completion efficiency; 2. By obtaining the functional requirements and service conditions of the product, and defining the forward and backward dependencies between products based on these requirements and conditions, it is possible to ensure that the product meets the specific requirements of the business during the sales and delivery process, thereby ensuring that the product's functions meet the needs of the market and customers. This step can reduce customer complaints or service issues caused by unclear dependencies or incorrect configurations by systematically organizing product dependencies, thereby improving the accuracy of product configuration and the reliability of business processes; by dynamically adjusting the dependencies between products based on user purchasing behavior data and market demand fluctuations, it is possible to adapt to changes in market demand in real time, ensuring that the product portfolio can be adjusted in time when market demand peaks, thereby improving the product's market adaptability and service flexibility. This dynamic adjustment can ensure the continuous optimization of product portfolios and business processes according to changes in the market environment, enhance the company's ability to respond to changing markets, and improve market competitiveness; 3. By using a weighted algorithm to calculate the weights of the corresponding products based on the user's purchase behavior data, and updating the dependencies between products based on the product weights, the dependencies between products can be made more accurate and scientific. After adopting the weighted algorithm, the system can automatically calculate the importance of each product in the user's order based on the user's historical purchase data, preferences and other factors, and adjust the dependency order between products based on these weights, so that the dependencies are more in line with user needs and the actual market situation, thereby optimizing product recommendations and service matching, and improving the accuracy and efficiency of order processing; by performing a time series analysis on the market demand fluctuations and adjusting the product dependencies based on the results of the time series analysis, the product dependencies can be adjusted according to the cyclical changes in the market, so that the system can quickly respond to changes in market demand. For example, during peak demand periods, the system can give priority to the dependencies of related products to ensure the smooth sales and delivery of high-demand products, enhancing the market sensitivity and flexibility of the system, thereby improving the company's market response capabilities and product sales. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 This is a flow chart of a method for managing a financial and tax order in one embodiment of the present application; Figure 2 This is a flowchart for implementing step S10 in the tax order management method in one embodiment of the present application; Figure 3 This is a flowchart for implementing step S12 in the tax order management method in one embodiment of the present application; Figure 4 It is a flowchart for implementing step S20 in the tax order management method in one embodiment of the present application; Figure 5 This is a flowchart for implementing step S30 in the tax order management method in one embodiment of the present application; Figure 6 This is a principle block diagram of a financial and tax order management system in one embodiment of the present application; Figure 7 It is a schematic diagram of a device in an embodiment of the present application. DETAILED DESCRIPTION

[0023] The present application is further described in detail below in conjunction with the accompanying drawings.

[0024] In one embodiment, if Figure 1 As shown, the present application discloses a financial and tax order management method, which specifically includes the following steps: S10: Obtain demand factors of the products, and define dependencies for each product according to the demand factors and based on a dynamic dependency algorithm.

[0025] Specifically, when obtaining the demand factors of the product, we can analyze them through user surveys, market feedback and product technical specifications, and summarize these demand factors into conditions for mutual cooperation between products. For example, some financial and tax products need to meet the specific industry needs of users or comply with certain service standards. On this basis, the dynamic dependency algorithm calculates the priority and dependency strength of product requirements, and constructs functionally complementary products into an ordered dependency relationship. For example, the advanced module of the sales service is linked to the basic module, and their service dependencies are stored in the product configuration table for subsequent order processing.

[0026] S20: Obtain the user's order creation request, determine the user's product purchase qualifications based on the dependency relationship, and respond to the order creation request and create a purchase order if the product purchase qualifications meet the purchase conditions.

[0027] Specifically, when receiving an order creation request from a user, the target product and order type in the user request can be parsed first, the product dependency configuration can be queried based on the parsing result, and the user can be verified according to the configuration to see whether the preconditions have been met. For example, if a user wants to activate the invoice verification service, then it is queried whether the user has activated the input service. If the dependency match is successful, the order information is recorded and a purchase order is generated. When generating the order, the user's purchasing ability can be further verified, such as checking whether there are sufficient payment records or historical transaction behaviors in the user account to ensure that the order creation can be completed smoothly.

[0028] S30: Obtain the payment status of the purchase order, and when the payment status is paid, dynamically adjust the life cycle of the purchase order based on the order life cycle intelligent management algorithm, and update the order status in real time.

[0029] Specifically, when monitoring the payment status of an order, you can obtain a payment completion notification through the payment interface docking. After the payment is completed, it enters the next processing stage according to the order lifecycle management rules, such as updating from the "pending payment" status to the "paid" status. At the same time, based on the order lifecycle intelligent management algorithm, the order priority and resource allocation requirements are calculated. For example, for large orders, the approval process is triggered first, and for small orders, it directly enters the service activation stage. The order status is updated in real time after each stage to ensure that the order processing sequence and stage distribution are in line with the business logic.

[0030] S40: After the life cycle of the purchase order ends, work order information related to the purchase order type is generated, thereby triggering a service start message.

[0031] Specifically, when an order completes the last stage of its life cycle, corresponding work order information is generated based on the type of order. For example, for a sales service order, the generated work order information needs to include specific fields such as the corporate tax number, tax disk type, and configuration code. These fields are organized and stored in a standard format, and the work order information is pushed to the service activation module to trigger a notification message for the service startup, such as notifying the system to initialize related services, synchronize user data, etc., to ensure that customers can quickly obtain support for purchased services.

[0032] In one embodiment, if Figure 2 As shown, in step S10, a dependency relationship is defined for each product according to demand factors and based on a dynamic dependency relationship algorithm, specifically including: S11: Obtain the functional requirements and service conditions of the products, and define the forward and backward dependencies between products based on the functional requirements and service conditions.

[0033] Specifically, the functional requirements of a product can be derived by analyzing its technical specifications and customer usage scenarios. For example, the functional requirements of a sales enterprise version include basic invoice issuance, tax statistics, etc. The corresponding service conditions require the customer company to have tax equipment or other relevant qualifications. On this basis, according to the product usage logic, the enterprise version is defined as a prerequisite for the store version, and these dependencies are saved in the form of a hierarchical diagram for subsequent verification and adjustment.

[0034] S12: Obtain the user's purchasing behavior data and the market demand fluctuations, and dynamically adjust the dependency between products based on the purchasing behavior data and demand fluctuations.

[0035] Specifically, purchasing behavior data can be obtained through data sources such as historical order records, user access behavior and preference settings, combined with real-time monitoring of market demand fluctuations. For example, by analyzing the peak demand trend of specific products over a period of time or the impact of the implementation of new policies, product dependencies can be dynamically adjusted. For example, when demand surges, certain dependency conditions can be relaxed to improve sales efficiency. At the same time, the product portfolio can be optimized based on the dynamic adjustment of dependencies to ensure that the dependencies can adapt to business changes while maintaining logical rationality.

[0036] In one embodiment, if Figure 3 As shown, in step S12, the dependency relationship between products is dynamically adjusted according to the purchase behavior data and demand fluctuations, specifically including: S121: Based on the user's purchase behavior data, a weighted algorithm is used to calculate the weights of the corresponding products, and the dependency relationships between the products are updated in sequence according to the product weights.

[0037] Specifically, specific weights are assigned to different products based on users' purchasing behavior data, such as order amount, purchase frequency, and purchase preferences. For example, high-frequency basic functional modules are assigned higher weights. At the same time, a weighted algorithm is used to calculate the priority and importance of each product in the entire service system. Based on these weights, dependencies are dynamically updated, such as adjusting the dependency order or removing infrequently used dependency conditions, to ensure that dependencies can maintain accuracy and flexibility during product updates and iterations.

[0038] S122: Conduct a timing analysis on the fluctuation of market demand, and adjust product dependencies based on the timing analysis results.

[0039] Specifically, by obtaining market data over a period of time, such as the purchase popularity and customer feedback scores of a product, the time series analysis model is used to identify cyclical fluctuations in market demand. For example, during the peak period of tax declaration, the demand for certain tax products will increase significantly. Based on these time series analysis results, the dependencies between products are adjusted, such as simplifying or prioritizing the dependencies of high-demand products, to ensure that the dependencies can dynamically adapt to different market environments.

[0040] In one embodiment, if Figure 4 As shown, in step S20, the user's product purchase qualification is determined based on the dependency relationship, specifically including: S21: Obtain the dependency relationship of the corresponding product according to the user's order creation request, and query the corresponding purchase conditions according to the dependency relationship.

[0041] Specifically, after parsing the user's order creation request, the product dependencies are queried according to the target product. For example, when a user tries to activate the store version of the sales service, it is learned through the dependency query that the purchase of the sales enterprise version must be completed first. The purchase conditions are further queried, such as whether the user has the authorization qualifications for the enterprise version. If the purchase conditions are matched successfully, the verification result is returned, otherwise the user is prompted to complete the relevant conditions.

[0042] S22: Conduct a qualification review of the user based on the purchase conditions, and if the user's qualification review passes, determine that the user is eligible to purchase the product.

[0043] Specifically, when the user's qualifications are reviewed in combination with the purchase conditions, the relevant information provided by the user can be verified, such as tax number, corporate qualification documents, etc. For users who do not meet the purchase conditions, the review failure result is returned and the required additional information is prompted. Users who pass the review are granted the purchase qualification of the target product, and the review result is synchronized with the order processing flow.

[0044] In one embodiment, if Figure 5As shown, in step S30, the life cycle of the purchase order is dynamically adjusted based on the order life cycle intelligent management algorithm, and the order status is updated in real time, specifically including: S31: According to the current status of the purchase order, each stage of the purchase order life cycle is automatically calculated and adjusted through an intelligent management algorithm.

[0045] Specifically, based on the current status of the order, such as "pending payment" or "paid", the intelligent management algorithm calculates the next life cycle stage that the order needs to enter. For example, for an order in the paid status, the service activation process can be triggered. At the same time, the intelligent management algorithm will also adjust the order of the life cycle stages according to the priority of the order, such as giving priority to large orders or orders from important customers, to ensure the flexibility and efficiency of life cycle adjustments.

[0046] S32: At each stage of the purchase order life cycle, the purchase order processing priority is determined in combination with the order payment status and product delivery requirements, and the corresponding order update sequence is adjusted according to the processing priority.

[0047] Specifically, by obtaining the payment status of the order, such as whether it is an online payment or an offline payment, and combining it with the product delivery requirements, such as whether it is necessary to upload credentials or complete approval, the priority of order processing is comprehensively determined. For example, orders paid online take precedence over orders paid offline, and large orders take precedence over small orders. The order update sequence is adjusted according to the processing priority to ensure resource allocation and order processing efficiency.

[0048] In one embodiment, the financial and tax order management method further includes: S50: Obtain the user's identity information, and dynamically adjust the user's access rights based on the intelligent permission control system according to the user's identity information and order information.

[0049] Specifically, the identity information submitted by the user, such as the company name, user role, and permission level, is matched with the product type and order status in the order information to dynamically adjust the user's access rights. For example, service access rights are restricted for unpaid orders, while all associated services can be directly activated for paid orders, ensuring that user rights are consistent with their order status and role requirements.

[0050] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0051] In one embodiment, a tax order management system is provided, which corresponds one-to-one to the tax order management method in the above embodiment. Figure 6As shown, the tax order management system includes dependency definition module, order creation module, order payment status management module, and work order generation module. The detailed description of each functional module is as follows: A dependency definition module, used to obtain the demand factors of products, and define the dependency for each product based on the demand factors and a dynamic dependency algorithm; An order creation module is used to obtain a user's order creation request, determine the user's product purchase qualifications based on the dependency relationship, and respond to the order creation request and create a purchase order if the product purchase qualifications meet the purchase conditions; The order payment status management module is used to obtain the payment status of the purchase order, and when the payment status is paid, dynamically adjust the life cycle of the purchase order based on the order life cycle intelligent management algorithm, and update the order status in real time; The work order generation module is used to generate work order information related to the purchase order type after the life cycle of the purchase order ends, thereby triggering a service start message.

[0052] Optionally, the dependency definition module specifically includes: Functional requirement analysis submodule is used to obtain the functional requirements and service conditions of products, and define the front-end and back-end dependencies between products based on the functional requirements and service conditions; The dynamic adjustment submodule is used to obtain the user's purchase behavior data and the market demand fluctuations, and dynamically adjust the dependency between products according to the purchase behavior data and demand fluctuations.

[0053] Optionally, the dynamic adjustment submodule specifically includes: A weight calculation unit is used to calculate the weight of the corresponding product using a weighted algorithm according to the user's purchase behavior data, and to update the dependency relationship between products in sequence according to the product weights; The timing analysis unit is used to perform timing analysis on market demand fluctuations and adjust product dependencies based on the timing analysis results.

[0054] Optionally, the order creation module specifically includes: The dependency query submodule is used to obtain the dependency of the corresponding product according to the user's order creation request, and query the corresponding purchase conditions according to the dependency; The qualification review submodule is used to review the user's qualifications based on the purchase conditions, and if the user's qualifications are reviewed, determine that the user is eligible to purchase the product.

[0055] Optionally, the order payment status management module specifically includes: The life cycle adjustment submodule is used to automatically calculate and adjust the various stages of the purchase order life cycle through an intelligent management algorithm according to the current status of the purchase order; The priority management submodule is used to determine the processing priority of the purchase order at each stage of the purchase order life cycle, combined with the payment status and product delivery requirements of the order, and adjust the corresponding order update sequence according to the processing priority.

[0056] Optional tax order management methods also include: The permission control module is used to obtain the user's identity information and dynamically adjust the user's access rights based on the intelligent permission control system according to the user's identity information and order information.

[0057] For the specific definition of the financial and tax order management system, please refer to the definition of the financial and tax order management method above, which will not be repeated here. Each module in the above-mentioned financial and tax order management system can be implemented in whole or in part by software, hardware and their combination. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0058] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 7 As shown. The computer device includes a processor, a memory, a network interface and a database connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for managing a financial and tax order is implemented.

[0059] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the following steps when executing the computer program: Obtaining demand factors of products, and defining dependencies for each product based on the demand factors and a dynamic dependency algorithm; Obtain the user's order creation request, determine the user's product purchase qualifications based on the dependency relationship, and respond to the order creation request and create a purchase order if the product purchase qualifications meet the purchase conditions; Obtain the payment status of the purchase order, and if the payment status is paid, dynamically adjust the life cycle of the purchase order based on the order life cycle intelligent management algorithm, and update the order status in real time; After the life cycle of the purchase order ends, work order information related to the purchase order type is generated, which in turn triggers a service start message.

[0060] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented: Obtaining demand factors of products, and defining dependencies for each product based on the demand factors and a dynamic dependency algorithm; Obtain the user's order creation request, determine the user's product purchase qualifications based on the dependency relationship, and respond to the order creation request and create a purchase order if the product purchase qualifications meet the purchase conditions; Obtain the payment status of the purchase order, and if the payment status is paid, dynamically adjust the life cycle of the purchase order based on the order life cycle intelligent management algorithm, and update the order status in real time; After the life cycle of the purchase order ends, work order information related to the purchase order type is generated, which in turn triggers a service start message.

[0061] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0062] Those skilled in the art will clearly understand that for the sake of convenience and brevity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the system can be divided into different functional units or modules to complete all or part of the functions described above.

[0063] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for managing financial and tax orders, characterized in that: The fiscal and tax order management method comprises: Obtaining demand factors of products, and defining dependencies for each of the products according to the demand factors and based on a dynamic dependency algorithm; Obtaining a user's order creation request, judging the user's product purchase qualifications based on the dependency relationship, and responding to the order creation request and creating a purchase order if the user's product purchase qualifications meet the purchase conditions; Obtaining the payment status of the purchase order, and if the payment status is paid, dynamically adjusting the life cycle of the purchase order based on an order life cycle intelligent management algorithm, and updating the order status in real time; After the life cycle of the purchase order ends, work order information related to the purchase order type is generated, thereby triggering a service start message.

2. The method for managing financial and tax orders according to claim 1, characterized in that: Defining a dependency relationship for each of the products according to the demand factors and based on a dynamic dependency relationship algorithm specifically includes: Obtaining functional requirements and service conditions of products, and defining the front-end dependency relationship between products according to the functional requirements and service conditions; The user's purchasing behavior data and the market demand fluctuation situation are obtained, and the dependency relationship between products is dynamically adjusted according to the purchasing behavior data and the demand fluctuation situation.

3. The method for managing financial and tax orders according to claim 2, characterized in that: The dynamically adjusting the dependency relationship between products according to the purchase behavior data and the demand fluctuation situation specifically includes: According to the user's purchase behavior data, a weighted algorithm is used to calculate the weights of corresponding products, and the dependency relationships between products are updated in sequence according to the product weights; Conduct a timing analysis on the market demand fluctuations, and adjust the product dependencies based on the timing analysis results.

4. The method for managing financial and tax orders according to claim 1, characterized in that: The determining, based on the dependency relationship, the user's product purchasing qualification specifically includes: Acquire the dependency relationship of the corresponding product according to the order creation request of the user, and query the corresponding purchase condition according to the dependency relationship; The user's qualifications are reviewed based on the purchase conditions, and if the user's qualifications are reviewed and passed, it is determined that the user is eligible to purchase the product.

5. The method for managing financial and tax orders according to claim 1, characterized in that: The method of dynamically adjusting the life cycle of the purchase order based on the order life cycle intelligent management algorithm and updating the order status in real time specifically includes: According to the current status of the purchase order, automatically calculate and adjust each stage of the life cycle of the purchase order through an intelligent management algorithm; At each stage of the purchase order life cycle, the processing priority of the purchase order is determined in combination with the payment status of the order and the product delivery requirements, and the corresponding order update sequence is adjusted according to the processing priority.

6. The method for managing financial and tax orders according to claim 1, characterized in that: The financial and tax order management method further includes: The identity information of the user is obtained, and according to the identity information of the user and the order information, the access rights of the user are dynamically adjusted based on an intelligent permission control system.

7. A financial and tax order management system, characterized in that: The financial and tax order management system includes: A dependency definition module, used for obtaining demand factors of products, and defining a dependency for each of the products according to the demand factors and based on a dynamic dependency algorithm; An order creation module, used to obtain an order creation request from a user, determine the user's product purchase qualifications based on the dependency relationship, and respond to the order creation request and create a purchase order if the product purchase qualifications meet the purchase conditions; An order payment status management module, used to obtain the payment status of the purchase order, and when the payment status is paid, dynamically adjust the life cycle of the purchase order based on the order life cycle intelligent management algorithm, and update the order status in real time; The work order generation module generates work order information related to the purchase order type after the life cycle of the purchase order ends, thereby triggering a service start message.

8. The financial and tax order management system according to claim 7 is characterized in that: The dependency definition module specifically includes: Functional requirement analysis submodule, used to obtain the functional requirements and service conditions of products, and define the front-end dependency relationship between products according to the functional requirements and service conditions; The dynamic adjustment submodule is used to obtain the user's purchase behavior data and the market demand fluctuation situation, and dynamically adjust the dependency relationship between products according to the purchase behavior data and the demand fluctuation situation.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the financial and tax order management method as described in any one of claims 1 to 6 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the fiscal and tax order management method as described in any one of claims 1 to 6 are implemented.

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