Fiscal and Tax Order Management Method, System, Computer Device, and Storage Medium

Abstract

The present application relates to a financial and tax order management method, system, computer device, and storage medium. The method includes obtaining the demand factors of a product, defining a dependency relationship for each product according to the demand factors and based on a dynamic dependency relationship algorithm; obtaining a user's order creation request, and based on the dependency relationship, determining the user's product purchase eligibility. When the product purchase eligibility meets the purchase conditions, responding to the order creation request and creating a purchase order; obtaining the payment status of the purchase order, and when the payment status is paid, dynamically adjusting the life cycle of the purchase order based on an order life cycle intelligent management algorithm and real-time updating the order status; after the life cycle of the purchase order ends, generating work order information related to the type of the purchase order, and further triggering a service start message. The present application has the effect of improving the efficiency of financial and tax order management.

Description

Technical Field

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

[0002] Currently, with the gradual expansion of the enterprise business system architecture, the increase in the number of enterprise customers, and the increasing number of application services provided, the dependency relationships between products and services have become increasingly complex. Existing fiscal and tax order management technologies usually rely on static rule configurations. There are various types of customers in the fiscal and tax service platform, and different types of customers, such as self-registered users, large enterprise 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 dependency relationships between products, existing technologies usually configure through fixed rules and cannot be dynamically adjusted according to market changes and customer needs, resulting in the inability to meet the requirements in complex business scenarios.

[0003] The above-mentioned existing technical solutions have the following defects: The existing fiscal and tax service platform lacks flexible product dependency relationship 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 fiscal and tax orders. Therefore, there is room for improvement. Summary of the Invention

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

[0005] The first invention object of the present application is achieved through the following technical solutions:

[0006] A fiscal and tax order management method, the fiscal and tax order management method includes:

[0007] Obtain the demand factors of the product, and define the dependency relationship for each product according to the demand factors and based on the dynamic dependency relationship algorithm;

[0008] Obtain the user's order creation request, and based on the dependency relationship, judge the user's product purchase qualification. When the product purchase qualification meets the purchase conditions, respond to the order creation request and create a purchase order;

[0009] 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;

[0010] After the end of the life cycle of the purchase order, work order information related to the type of the purchase order is generated, thereby triggering a service start message.

[0011] By adopting the above technical solution, by obtaining the demand factors of products and defining the dependencies for each product based on the dynamic dependency algorithm, the dependencies between products can be accurately managed, ensuring that products can be purchased under the preconditions, thus improving the adaptability of products and the flexibility of business processes. This method ensures that the relationships between different products are reasonably organized and controlled, avoiding incorrect product combinations and situations where products are purchased under ineligible conditions, and improving the efficiency of product sales and order management; by obtaining the user's order creation request and judging the user's purchase eligibility based on the dependencies, it can be ensured that the system judges whether the user meets the purchase conditions according to the dependencies, avoiding users who do not meet the requirements from submitting orders and reducing 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 advanced according to the payment status of the order, optimizing the automation degree of order management, reducing manual intervention, and improving the processing efficiency; by generating work order information related to the type of the purchase order and triggering a service start message after the end of the life cycle of the purchase order, subsequent services can be quickly started after the end of the order life cycle, ensuring the smooth progress of the services, avoiding delays, and improving customer satisfaction and order completion efficiency.

[0012] In one example, the present application can be further configured as: the defining the dependencies for each of the products according to the demand factors and based on the dynamic dependency algorithm specifically includes:

[0013] Obtain the functional requirements and service conditions of the products, and define the front-back dependencies between the products according to the functional requirements and the service conditions;

[0014] Obtain the purchase behavior data of the users and the demand fluctuation conditions of the market, and dynamically adjust the dependencies between the products according to the purchase behavior data and the demand fluctuation conditions.

[0015] By adopting the above technical solutions, by obtaining the functional requirements and service conditions of products and defining the front-back dependency relationships between products based on these requirements and conditions, it is possible to ensure that products meet the specific requirements of the business during the sales and delivery processes, thereby ensuring that the functions of the products meet the needs of the market and customers. This step, by systematically organizing the product dependency relationships, can reduce customer complaints or service issues caused by unclear dependencies or incorrect configurations, improving the accuracy of product configuration and the reliability of business processes; by dynamically adjusting the dependency relationships between products according to the user's purchase behavior data and the demand fluctuation situation in the market, it can adapt to changes in market demand in real time, ensuring that the product portfolio can be adjusted in a timely manner during peak market demand, improving the market adaptability and service flexibility of the products. This kind of dynamic adjustment can ensure the continuous optimization of the product portfolio and business processes according to changes in the market environment, enhancing the enterprise's response ability in the face of a changing market and improving its market competitiveness.

[0016] In one example, the present application can be further configured as follows: The dynamically adjusting the dependency relationships between products according to the purchase behavior data and the demand fluctuation situation specifically includes:

[0017] According to the user's purchase behavior data, use a weighted algorithm to calculate the weights of the corresponding products, and update the dependency relationships between products in sequence according to the product weights;

[0018] Conduct a time series analysis of the demand fluctuation situation in the market, and adjust the dependency relationships of products according to the results of the time series analysis.

[0019] By adopting the above technical solutions, by using a weighted algorithm to calculate the weights of the corresponding products according to the user's purchase behavior data and updating the dependency relationships between products according to the product weights, it is possible to make the dependency relationships between products 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 factors such as the user's historical purchase data and preferences, and adjust the dependency order between products according to these weights, making the dependency relationships more in line with the user's needs and the actual situation of the market, thereby optimizing product recommendations and service matching, and improving the accuracy and efficiency of order processing; by conducting a time series analysis of the demand fluctuation situation in the market and adjusting the dependency relationships of products according to the results of the time series analysis, it is possible to adjust the dependency relationships of products according to the periodic changes in the market, enabling the system to quickly respond to changes in market demand. For example, during the peak demand period, the system can give priority to processing the dependency relationships of relevant products to ensure the smooth sales and delivery of high-demand products, enhancing the market sensitivity and flexibility of the system, and thus improving the enterprise's market response ability and product sales volume.

[0020] In one example, the present application can be further configured as follows: Based on the dependency relationship, determining the product purchase eligibility of the user specifically includes:

[0021] Obtaining the dependency relationship of the corresponding product according to the order creation request of the user, and querying the corresponding purchase conditions according to the dependency relationship;

[0022] Judging the qualification review of the user according to the purchase conditions, and determining that the user has the product purchase eligibility when the qualification review of the user passes.

[0023] By adopting the above technical solutions, by obtaining the dependency relationship of the corresponding product according to the order creation request of the user, and querying the corresponding purchase conditions according to the dependency relationship, it can be ensured that when the user submits an order, the system can quickly retrieve and judge the dependency relationship of the product and the conditions to be met, thereby improving the accuracy and efficiency of order processing, reducing the probability of manual intervention and misjudgment; by judging according to the purchase conditions and conducting qualification review, it can effectively control that only users who meet the conditions can make purchases, avoiding un-reviewed orders from entering the processing process, thereby enhancing the legality of the order and the security of the system, ensuring that users with compliant purchase eligibility can smoothly purchase the required services, reducing the risk of non-compliant orders, and ensuring the compliance of the order and the smoothness of the process.

[0024] In one example, the present application can be further configured as follows: Dynamically adjusting the life cycle of the purchase order based on the order life cycle intelligent management algorithm and real-time updating the order status, specifically including:

[0025] According to the current status of the purchase order, automatically calculating and adjusting each stage of the life cycle of the purchase order through the intelligent management algorithm;

[0026] In each stage of the life cycle of the purchase order, combining the payment status of the order and the product delivery requirements, determining the processing priority of the purchase order, and adjusting the corresponding order update sequence according to the processing priority.

[0027] By adopting the above technical solution, by automatically adjusting each stage of the order life cycle according to the current status of the purchase order using an intelligent management algorithm, it is possible to optimize the order processing flow and ensure that the tasks and operations in each stage can proceed smoothly according to the priorities and business requirements. For example, when the order enters the "awaiting payment" state, the intelligent management algorithm can determine whether the order needs to be processed preferentially. If it is a large order, it will enter the payment verification and approval stage preferentially; if it is a small order, it will enter a simplified process, improving the efficiency of order processing and the rationality of resource use. By determining the processing priority of the order in 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 is possible to reasonably allocate processing resources according to the urgency and importance of the order, thus avoiding unnecessary delays and waste of system resources, improving the overall working efficiency of the system and the timeliness of order processing, and enhancing the customer experience and system response speed.

[0028] In one example, the present application can be further configured as follows: The fiscal and tax order management method further includes:

[0029] Obtain the identity information of the user, and based on the identity information of the user and the order information, dynamically adjust the access rights of the user based on an intelligent permission control system.

[0030] By adopting the above technical solution, by obtaining the identity information of the user and dynamically adjusting the access rights of the user according to this information and the order information, it is possible to ensure that users with different identities can access the corresponding order information and function modules according to their roles and permissions. For example, for users whose orders have not 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 operations and access by users, improve the security of the system and the user experience. This dynamic permission adjustment based on identity and order information can be flexibly configured according to the needs and roles of different users, thus avoiding unnecessary permission leakage, improving data security, and optimizing the system management process.

[0031] The above second inventive object of the present application is achieved by the following technical solutions:

[0032] A dependency definition module for obtaining the requirement factors of the product and defining dependencies for each product according to the requirement factors and based on a dynamic dependency algorithm;

[0033] An order creation module for obtaining a user's order creation request, judging the user's product purchase eligibility based on the dependencies, and in the case where the product purchase eligibility meets the purchase conditions, responding to the order creation request and creating a purchase order;

[0034] An 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;

[0035] A work order generation module is used to generate work order information related to the type of the purchase order after the end of the life cycle of the purchase order, and then trigger a service start message.

[0036] By adopting the above technical solutions, by obtaining the demand factors of products and defining the dependencies for each product based on the dynamic dependency relationship algorithm, the dependencies between products can be precisely managed, ensuring that products can be purchased under the preconditions, thereby improving the adaptability of products and the flexibility of business processes. This way ensures that the relationships between different products are reasonably organized and controlled, avoiding incorrect product combinations and situations of purchasing ineligible products, and improving the efficiency of product sales and order management; by obtaining the user's order creation request and judging the user's purchase eligibility based on the dependency relationship, it can be ensured that the system judges whether the user meets the purchase conditions according to the dependency relationship, avoiding users who do not meet the requirements from submitting orders, reducing the generation of invalid orders, and thus 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 advanced according to the payment status of the order, optimizing the automation level of order management, reducing manual intervention, and improving the processing efficiency; by generating work order information related to the type of the purchase order and triggering a service start message after the end of the life cycle of the purchase order, the subsequent service can be quickly started after the end of the order life cycle, ensuring the smooth progress of the service, avoiding delays, and improving the customer satisfaction and order completion efficiency.

[0037] The above-mentioned third object of the present application is achieved by the following technical solutions:

[0038] A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the above-mentioned fiscal and tax order management method are implemented.

[0039] The above-mentioned fourth object of the present application is achieved by the following technical solutions:

[0040] A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned fiscal and tax order management method are implemented.

[0041] In summary, the present application includes the following beneficial technical effects:

[0042] 1. By obtaining the requirement factors of products and defining the dependencies for each product based on the dynamic dependency algorithm, it is possible to precisely manage the dependencies between products, ensure that products can be purchased under preconditions, thereby improving the adaptability of products and the flexibility of business processes. This approach ensures that the relationships between different products are reasonably organized and controlled, avoiding incorrect product combinations and ineligible product purchases, and enhancing the efficiency of product sales and order management; By obtaining the user's order creation request and judging the user's purchase eligibility based on dependencies, it can be ensured that the system determines whether the user meets the purchase conditions according to the dependencies, avoiding ineligible users from submitting orders and reducing the generation of invalid orders, thus enhancing the processing efficiency and accuracy of the system; By obtaining the payment status of the purchase order and dynamically adjusting the order lifecycle when the payment status is paid, it can automatically advance the order processing according to the payment status of the order, optimize the automation of order management, reduce manual intervention, and enhance the processing efficiency; By generating work order information related to the type of purchase order and triggering a service start message after the end of the purchase order lifecycle, it can quickly start the subsequent service after the order lifecycle ends, ensure the smooth progress of the service, avoid delays, and enhance customer satisfaction and order completion efficiency;

[0043] 2. By obtaining the functional requirements and service conditions of products and defining the front - and - back dependencies between products based on these requirements and conditions, it can ensure that products meet specific business requirements during the sales and delivery processes, thereby ensuring that the functions of products meet market and customer needs. This step, by systematically organizing product dependencies, can reduce customer complaints or service problems caused by unclear dependencies or incorrect configurations, enhancing the accuracy of product configuration and the reliability of business processes; By dynamically adjusting the dependencies between products according to the user's purchase behavior data and market demand fluctuations, it can adapt to changes in market demand in real - time, ensure that products can timely adjust the product portfolio during market demand peaks, and enhance the market adaptability and service flexibility of products. This dynamic adjustment can ensure the continuous optimization of product portfolios and business processes according to changes in the market environment, enhance the enterprise's ability to respond to changing markets, and improve market competitiveness;

[0044] 3. By calculating the weights of corresponding products using a weighted algorithm based on the user's purchase behavior data and updating the dependency relationships between products according to the product weights, the dependency relationships 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 factors such as the user's historical purchase data and preferences, and adjust the dependency order between products according to these weights, making the dependency relationships more in line with the user's needs and the actual situation of the market, thereby optimizing product recommendations and service matching, and improving the accuracy and efficiency of order processing; by performing time series analysis on the demand fluctuation situation of the market and adjusting the dependency relationships between products according to the results of the time series analysis, the dependency relationships between products can be adjusted according to the periodic changes of the market, enabling the system to quickly respond to changes in market demand. For example, during the peak demand period, the system can give priority to processing the dependency relationships of relevant products to ensure the smooth sales and delivery of high-demand products, enhancing the market sensitivity and flexibility of the system, and thus improving the enterprise's market response ability and product sales volume. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 is a flowchart of a fiscal and tax order management method in an embodiment of the present application;

[0046] Figure 2 is a flowchart for implementing step S10 in the fiscal and tax order management method in an embodiment of the present application;

[0047] Figure 3 is a flowchart for implementing step S12 in the fiscal and tax order management method in an embodiment of the present application;

[0048] Figure 4 is a flowchart for implementing step S20 in the fiscal and tax order management method in an embodiment of the present application;

[0049] Figure 5 is a flowchart for implementing step S30 in the fiscal and tax order management method in an embodiment of the present application;

[0050] Figure 6 is a schematic block diagram of a fiscal and tax order management system in an embodiment of the present application;

[0051] Figure 7 is a schematic diagram of a device in an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0052] The present application will be further described in detail below with reference to the accompanying drawings.

[0053] In one embodiment, as Figure 1 shown, the present application discloses a fiscal and tax order management method, which specifically includes the following steps:

[0054] S10: Obtain the requirement factors of the products, and define the dependencies for each product according to the requirement factors and based on the dynamic dependency algorithm.

[0055] Specifically, when obtaining the requirement factors of the products, it can be analyzed through user research, market feedback, and product technical specifications, and these requirement factors are summarized as the conditions for the products to cooperate with each other. For example, some financial and tax products need to meet the specific industry requirements of users or comply with certain service standards. On this basis, the dynamic dependency algorithm calculates the priority and strength of the product requirements, and constructs the products with complementary functions into an ordered dependency relationship. For example, the advanced module and the basic module of the output service are associated front and back, and their service dependencies are stored in the product configuration table for subsequent order processing.

[0056] S20: Obtain the user's order creation request, and based on the dependencies, judge the user's product purchase eligibility. In the case that the product purchase eligibility meets the purchase conditions, respond to the order creation request and create a purchase order.

[0057] Specifically, when receiving the user's order creation request, the target product and order type in the user request can be parsed first, the dependency relationship configuration of the product can be queried according to the parsing result, and it can be verified whether the user has met the preconditions according to the configuration. For example, if a user hopes to activate the invoice authenticity verification service, it is queried whether the input service has been activated. If the dependency relationship matches successfully, 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's account to ensure the smooth creation of the order.

[0058] S30: Obtain the payment status of the purchase order, and in the case that 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.

[0059] Specifically, when monitoring the order payment status, the payment completion notice can be obtained through the way of docking with the payment interface. After the payment is completed, it enters the next processing stage according to the order life cycle management rules. For example, it is updated from the "pending payment" status to the "paid" status. At the same time, according to the order life cycle intelligent management algorithm, the priority of the order and the 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. After each stage ends, the order status is updated in real time to ensure that the processing sequence and stage distribution of the order conform to the business logic.

[0060] S40: After the life cycle of the purchase order ends, generate work order information related to the purchase order type, and then trigger a service start message.

[0061] Specifically, when the order completes the last stage of its life cycle, corresponding work order information is generated according to the type of the order. For example, for an output service order, the generated work order information needs to include specific fields such as the enterprise tax number, tax disk type, and configuration code. These fields are organized and stored in a standard format, and at the same time, the work order information is pushed to the service activation module to trigger a service start notification message, such as notifying the system to initialize relevant services, synchronize user data, etc., to ensure that customers can quickly obtain the support of the purchased services.

[0062] In one embodiment, as Figure 2 shown, in step S10, that is, defining dependencies for each product according to demand factors and based on the dynamic dependency algorithm, specifically including:

[0063] S11: Obtain the functional requirements and service conditions of the product, and define the forward and backward dependencies between products according to the functional requirements and service conditions.

[0064] Specifically, the functional requirements of the product can be obtained by analyzing its technical specifications and customer usage scenarios. For example, the functional requirements of a certain output enterprise version include basic invoice issuance, tax amount statistics, etc., and the corresponding service conditions require the customer enterprise to have tax equipment or other corresponding qualifications. On this basis, according to the product usage logic, the enterprise version is defined as a pre-dependency condition for the store version, and these dependencies are saved in the form of a hierarchical diagram for subsequent verification and adjustment.

[0065] S12: Obtain the purchase behavior data of users and the demand fluctuation situation in the market, and dynamically adjust the dependencies between products according to the purchase behavior data and the demand fluctuation situation.

[0066] Specifically, the acquisition of purchase behavior data can be completed through data sources such as historical order records, user access behaviors, and preference settings. Combining with the real-time monitoring of market demand fluctuations, for example, by analyzing the demand peak trend of a specific product or the impact of the implementation of new policies during a certain period of time, dynamically adjust the dependencies between products. For example, when demand surges, relax certain dependency conditions to improve sales efficiency, and at the same time optimize the product portfolio according to the dynamic adjustment of dependencies to ensure that the dependencies can adapt to business changes and maintain logical rationality.

[0067] In one embodiment, as Figure 3 shown, in step S12, that is, dynamically adjusting the dependencies between products according to the purchase behavior data and the demand fluctuation situation, specifically including:

[0068] S121: According to the purchase behavior data of users, use a weighted algorithm to calculate the weights of the corresponding products, and update the dependencies between products in turn according to the product weights.

[0069] Specifically, according to the user's purchase behavior data, such as order amount, purchase frequency, and purchase preferences, specific weights are assigned to different products. For example, basic functional modules with high-frequency use are assigned higher weights. At the same time, through a weighted algorithm, the priority and importance of each product in the entire service system are calculated. Based on these weights, the dependency relationships are dynamically updated, such as adjusting the dependency order or removing infrequently used dependency conditions, to ensure that the dependency relationships can maintain accuracy and flexibility during product updates and iterations.

[0070] S122: Conduct a time series analysis of the market demand fluctuation situation and adjust the product dependency relationships according to the time series analysis results.

[0071] Specifically, by obtaining market data over a period of time, such as the purchase popularity and customer feedback scores of a certain product, a time series analysis model is used to identify the periodic fluctuations of market demand. For example, during the peak tax filing period, the demand for certain tax products will increase significantly. Based on these time series analysis results, the dependency relationships between products are adjusted, such as simplifying or preferentially displaying the dependency relationships of high-demand products, to ensure that the dependency relationships can dynamically adapt to different market environments.

[0072] In one embodiment, as Figure 4 shown, in step S20, that is, based on the dependency relationships, the product purchase eligibility of the user is judged, which specifically includes:

[0073] S21: Obtain the dependency relationships of the corresponding products according to the user's order creation request, and query the corresponding purchase conditions according to the dependency relationships.

[0074] Specifically, after parsing the user order creation request, the product dependency relationships are queried according to the target product. For example, when the user attempts to activate the sales invoice service store version, it is learned through querying the dependency relationships that the purchase of the sales invoice enterprise version must be completed first, and then the purchase conditions are further queried, such as whether the user has the authorization qualification for the enterprise version. If the purchase conditions match successfully, a verification passed result is returned; otherwise, the user is prompted to complete the relevant conditions.

[0075] S22: Judge and conduct qualification review on the user according to the purchase conditions, and determine that the user has the product purchase eligibility when the user's qualification review is passed.

[0076] Specifically, when conducting the qualification review on the user in combination with the purchase conditions, relevant information provided by the user, such as tax number, enterprise qualification documents, etc., can be verified. For users who do not meet the purchase conditions, a review failed result is returned and the information that needs to be supplemented is prompted, while users who pass the review are granted the purchase eligibility for the target product, and the review passed result is synchronized to the order processing process.

[0077] In one embodiment, as Figure 5As shown, in step S30, that is, based on the intelligent management algorithm for the order life cycle, the life cycle of the purchase order is dynamically adjusted, and the order status is updated in real time, specifically including:

[0078] S31: According to the current status of the purchase order, automatically calculate and adjust each stage of the life cycle of the purchase order through the intelligent management algorithm.

[0079] Specifically, according to the current status of the order, such as "pending payment" or "paid", calculate the next life cycle stage that the order needs to enter through the intelligent management algorithm. 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. For example, large-value orders or important customer orders are processed first to ensure the flexibility and efficiency of life cycle adjustment.

[0080] S32: In each stage of the life cycle of the purchase order, combine the payment status of the order and the product delivery requirements to determine the processing priority of the purchase order, and adjust the corresponding order update order according to the processing priority.

[0081] Specifically, by obtaining the payment status of the order, such as whether it is online payment or offline payment, and combining the product delivery requirements, such as whether it is necessary to upload vouchers or complete approvals, comprehensively determine the processing priority of the order. For example, online payment orders take precedence over offline payment orders, and large-value orders take precedence over small-value orders. Adjust the order update order according to the processing priority to ensure resource allocation and order processing efficiency.

[0082] In an embodiment, the financial and tax order management method further includes:

[0083] S50: Obtain the identity information of the user, and based on the intelligent permission control system, dynamically adjust the access permission of the user according to the identity information of the user and the order information.

[0084] Specifically, match the identity information submitted by the user, such as the enterprise name, user role, and permission level, with the product type and order status in the order information, and dynamically adjust the access permission of the user. For example, restrict the service access permission for un-paid orders, while all associated services can be directly activated for paid orders, ensuring that the user permissions are consistent with their order status and role requirements.

[0085] It should be understood that the magnitudes of the sequence numbers of the steps in the above embodiments do not mean the order of execution. The execution order of each process should be determined according to its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

[0086] In an embodiment, a financial and tax order management system is provided, and the financial and tax order management system corresponds one-to-one with the financial and tax order management method in the above embodiment. AsFigure 6 As shown in Figure 6 , the fiscal and tax order management system includes a dependency definition module, an order creation module, an order payment status management module, and a work order generation module. The detailed description of each functional module is as follows:

[0087] The dependency definition module is used to obtain the demand factors of products and define dependencies for each product based on the demand factors and the dynamic dependency algorithm.

[0088] The order creation module is used to obtain the user's order creation request, judge the user's product purchase eligibility based on the dependencies, and respond to the order creation request and create a purchase order when the product purchase eligibility meets the purchase conditions.

[0089] 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.

[0090] The work order generation module is used to generate work order information related to the type of the purchase order after the life cycle of the purchase order ends, and then trigger a service start message.

[0091] Optionally, the dependency definition module specifically includes:

[0092] The functional requirement analysis sub-module is used to obtain the functional requirements and service conditions of products and define the front and back dependencies between products according to the functional requirements and service conditions.

[0093] The dynamic adjustment sub-module is used to obtain the user's purchase behavior data and the demand fluctuation situation in the market, and dynamically adjust the dependencies between products according to the purchase behavior data and the demand fluctuation situation.

[0094] Optionally, the dynamic adjustment sub-module specifically includes:

[0095] The weight calculation unit is used to calculate the weights of the corresponding products by using a weighted algorithm according to the user's purchase behavior data, and update the dependencies between products in sequence according to the product weights.

[0096] The time series analysis unit is used to perform time series analysis on the demand fluctuation situation in the market and adjust the dependencies between products according to the time series analysis results.

[0097] Optionally, the order creation module specifically includes:

[0098] The dependency query sub-module is used to obtain the dependencies of the corresponding products according to the user's order creation request and query the corresponding purchase conditions according to the dependencies.

[0099] The qualification review sub-module is used to judge whether to conduct a qualification review on the user according to the purchase conditions, and determine that the user has the product purchase qualification if the user's qualification review is passed.

[0100] Optionally, the order payment status management module specifically includes:

[0101] The life cycle adjustment sub-module is used to automatically calculate and adjust each stage of the purchase order life cycle according to the current status of the purchase order through an intelligent management algorithm;

[0102] The priority management sub-module is used to determine the processing priority of the purchase order in each stage of the purchase order life cycle, combine the payment status of the order and the product delivery requirements, and adjust the corresponding order update order according to the processing priority.

[0103] Optionally, the fiscal and tax order management method further includes:

[0104] The permission control module is used to obtain the user's identity information, and dynamically adjust the user's access permission based on the intelligent permission control system according to the user's identity information and order information.

[0105] For the specific limitations of the fiscal and tax order management system, reference can be made to the limitations of the fiscal and tax order management method in the above text, which will not be elaborated here. Each module in the above fiscal and tax order management system can be implemented in whole or in part by software, hardware and their combinations. The above modules can be embedded in the processor in the computer device in the form of hardware or independent of it, or stored in the memory in the computer device in the form of software, so as to facilitate the processor to call and execute the operations corresponding to the above modules.

[0106] In one embodiment, a computer device is provided. The computer device can be a server, and its internal structure diagram can be as Figure 7 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 fiscal and tax order management method is implemented.

[0107] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the following steps are implemented:

[0108] Obtain the requirement factors of the product, and define the dependencies for each product according to the requirement factors and based on the dynamic dependency algorithm;

[0109] Obtain the order creation request of the user, and based on the dependencies, judge the product purchase eligibility of the user. When the product purchase eligibility meets the purchase conditions, respond to the order creation request and create a purchase order;

[0110] 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;

[0111] After the life cycle of the purchase order ends, generate work order information related to the purchase order type, and then trigger a service start message.

[0112] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented:

[0113] Obtain the requirement factors of the product, and define the dependencies for each product according to the requirement factors and based on the dynamic dependency algorithm;

[0114] Obtain the order creation request of the user, and based on the dependencies, judge the product purchase eligibility of the user. When the product purchase eligibility meets the purchase conditions, respond to the order creation request and create a purchase order;

[0115] 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;

[0116] After the life cycle of the purchase order ends, generate work order information related to the purchase order type, and then trigger a service start message.

[0117] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. 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 methods. Among them, any reference to a memory, storage, database, or other medium used in the embodiments provided in the present application can include non-volatile and / or volatile memories. Non-volatile memories can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memories can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and Rambus dynamic RAM (RDRAM), etc.

[0118] Those skilled in the art can clearly understand that, for the convenience and simplicity of description, only the above-mentioned division of each functional unit and module is used as an example. In actual applications, the above functions can be allocated to 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.

[0119] The above embodiments 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 foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate 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; The step of defining a dependency relationship for each product 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; Acquire 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; 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.

2. 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.

3. 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.

4. 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.

5. 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; A work order generation module, after the life cycle of the purchase order ends, generates work order information related to the purchase order type, thereby triggering a service start message; 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; A dynamic adjustment submodule, 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; The dynamic adjustment submodule specifically includes: A weight calculation unit, used to calculate the weights of corresponding products using a weighted algorithm according to the purchase behavior data of the user, 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 the market demand fluctuations and adjust the product dependency according to the timing analysis results.

6. 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 4 are implemented.

7. 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 4 are implemented.

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