Digital closed-loop management method and system for enterprise instant motivation

Abstract

The disclosure provides a digital closed-loop management method and system for enterprise instant incentives, an electronic device, a storage medium and a program product, to solve the problems of process fragmentation, risk lag and inefficient reconciliation in incentive management. The method comprises receiving an incentive rule configuration instruction, determining an incentive amount, an incentive matter, a payment subject identifier, a reconciliation subject identifier and an information push channel; in response to a payment instruction, performing a batch incentive payment operation based on the incentive rule; and before the incentive payment, performing a compliance check; for the payment object that passes the check, generating an incentive voucher, providing an access interface for the incentive object to view the incentive voucher, and in response to a query request, providing incentive-related data; performing intelligent auditing and automatic reconciliation process on the issued incentive data; after the auditing and reconciliation pass, generating a standardized incentive entry file and sending it to a salary management system. The disclosure improves the timeliness and compliance of incentives and reduces management costs.

Description

Technical Field

[0001] This disclosure relates to the field of information processing technology, and in particular to a digital closed-loop management method and system for enterprise real-time incentives, electronic devices, computer-readable storage media, and computer program products. Background Technology

[0002] In modern enterprise operations, timely incentives are an important means of motivating employees and promoting the achievement of business goals. Traditional incentive distribution methods mostly rely on offline cash, manual registration, or bank transfers, which suffer from problems such as cumbersome processes, poor timeliness, and low transparency.

[0003] As enterprises digitize, some have begun experimenting with online incentive distribution channels (such as WeChat red envelopes and bank direct debit). However, these online attempts still suffer from systemic flaws and have failed to form an effective management loop. Specifically: Fragmented processes and inefficient management: The application, distribution, notification, verification, reconciliation and payroll entry of incentives are independent of each other. Data flow relies on manual export and import, resulting in lengthy, inefficient and error-prone processes.

[0004] Weak risk management: The lack of system-level hard control over credit limits and real-time automated verification before disbursement makes it easy for over-disbursement and mis-disbursement to non-target personnel to occur. Post-disbursement audits rely heavily on manual spot checks, which have limited coverage and high compliance risks.

[0005] Collaborative reconciliation is difficult because incentive data is not automatically integrated with the finance and payroll systems, creating "data silos." Reconciliation requires manual verification of numerous documents by multiple departments, leading to unclear division of responsibilities, time-consuming and labor-intensive processes, and difficulty in ensuring accuracy.

[0006] Poor incentive effect: The lack of immediate, public, and visual feedback after the incentives are distributed leads to a lag in employee perception, which weakens the immediacy and sense of honor of the incentives and affects the input and output effect of incentive resources.

[0007] Therefore, there is an urgent need in the existing technology for an instant incentive closed-loop management method that can achieve full online integration, proactive risk control capabilities, support efficient collaboration, and seamlessly integrate with the compensation system, in order to systematically solve the above problems. Summary of the Invention

[0008] To address at least some of the technical problems in traditional incentive management technologies, such as fragmented processes, delayed risk assessment, data silos, and inefficient reconciliation, this disclosure provides a digital closed-loop management method and system for enterprise real-time incentives, an integrated sensing base station, electronic devices, computer-readable storage media, and computer program products. By constructing a closed-loop online process for the entire incentive workflow, it achieves instant incentive granting, intelligent risk verification, automatic reconciliation collaboration, and seamless payroll integration, significantly improving incentive timeliness and compliance while reducing management costs.

[0009] Firstly, this disclosure provides a digital closed-loop management method for enterprise instant incentives, the method comprising: Receive incentive rule configuration instructions, and determine the incentive amount, incentive items, issuing entity identifier, reconciliation entity identifier, and information push channel according to the incentive rule configuration instructions; In response to the issuance instruction, a batch incentive issuance operation is performed based on the incentive rules; and before the incentive issuance, a compliance verification is performed on each issuance recipient and the corresponding amount; for issuance recipients that pass the compliance verification, a corresponding incentive voucher is generated and the incentive voucher is pushed through the information push channel, while a reminder message is sent to the corresponding incentive recipient; Provide the incentive recipient with an access interface to view the incentive credentials, and provide incentive-related data in response to query requests; The system performs intelligent auditing and automated reconciliation processes on the issued incentive data. After the intelligent auditing and reconciliation are completed, a standardized incentive entry file is generated and sent to the payroll management system. The incentive entry file is used to enable the payroll management system to include the incentive amount in the corresponding incentive recipient's monthly performance pay.

[0010] Furthermore, the incentive rule configuration instructions include instructions for dividing the management scope by geographical dimension or business line dimension, and within the management scope, setting the incentive amount in the form of electronic red envelopes, the description of the incentive item, the issuer identifier, the reconciliation identifier, and specifying a specific group based on instant messaging tools as the information push channel.

[0011] Furthermore, the compliance verification of each recipient and corresponding amount includes: Each target incentive object is automatically verified based on preset verification rules, and the target incentive object that meets all the conditions of the preset verification rules is determined to have passed the compliance verification. The preset verification rule conditions include: The cumulative incentive amount received by the recipient during this management period has not exceeded the maximum total amount for this management period. The amount of the single incentive to be issued to them this time does not exceed the upper limit of the single amount; The sum of the cumulative incentive amount received by the recipient during this management period and the amount to be distributed this time does not exceed the upper limit of the total quota for this management period; The incentive risk score of the recipient did not exceed the preset risk threshold.

[0012] Furthermore, the incentive risk score is obtained in the following way: Collect incentive record data of the recipients within a preset historical period; Multiple feature variables are extracted from the incentive record data, including at least one of the following: amount disbursed, frequency of disbursement, time distribution, geographical region, and business line. Obtain the regression coefficients corresponding to each feature variable, which are predetermined through regression analysis; The incentive risk score is obtained by multiplying the value of each feature variable by its corresponding regression coefficient and summing all such products.

[0013] Furthermore, generating the corresponding incentive voucher and pushing the incentive voucher through the information push channel includes: Based on the selected template and the parameters of this incentive, a visual incentive voucher containing the recipient's identifier, incentive amount, and reason for issuance is automatically generated. Generate standardized push notifications containing the links to the visualized incentive credentials; Based on the interface address pre-configured for the information push channel, the instant messaging tool interface matching the interface address type is invoked to automatically send the standardized push information to the corresponding group.

[0014] Furthermore, the intelligent audit includes: Incentive recipient matching audit: Verify whether the actual recipient of the incentive belongs to the target group defined by the incentive, whether they meet the relevant business rules, and whether the issuance time is within the preset validity period; Incentive Amount Compliance Audit: Verify whether the incentive amount complies with the limit requirements for a single amount and the total amount limit requirements for a specific group.

[0015] Furthermore, the compliance audit of the incentive amount specifically includes: The issued incentive data is grouped according to two dimensions: region and business line. For each group, perform the following validation: Verify whether the maximum value among all single incentive amounts within the group is not greater than the preset single amount limit for the group; Verify whether the sum of all incentive amounts within the group does not exceed the preset upper limit of the total amount for the group.

[0016] Furthermore, the automated reconciliation process is a reconciliation method based on multi-dimensional permission priorities, including: For each entity participating in the reconciliation, a comprehensive permission score is calculated based on at least two preset dimensions, including geographical dimension, role dimension, and business line dimension. The priority order of reconciliation operations is determined based on the comprehensive authority scores of each entity. Once the entity with the highest priority completes the reconciliation confirmation, the reconciliation process for the relevant incentive data is automatically completed, and entities with lower priority do not need to perform the reconciliation operation again.

[0017] Furthermore, the comprehensive authority score is calculated using the following formula: T = Pa We + Pb Wg + Pc Wf Where T represents the overall authority score, Pa, Pb, and Pc represent the individual scores of the entity in the dimensions of region, role, and business line, respectively, and We, Wg, and Wf are the preset weight coefficients for the corresponding dimensions.

[0018] Secondly, this disclosure provides a digital closed-loop management system for enterprise instant incentives, the system comprising: The configuration module is configured to receive incentive rule configuration instructions and determine the incentive amount, incentive items, issuing entity identifier, reconciliation entity identifier, and information push channel according to the incentive rule configuration instructions. The verification and push module is configured to respond to the issuance instruction, perform batch incentive issuance operations based on the incentive rules, and perform compliance verification on each issuance recipient and the corresponding amount before incentive issuance; for issuance recipients that pass the compliance verification, generate corresponding incentive vouchers, push the incentive vouchers through the information push channel, and send reminder information to the corresponding incentive recipients at the same time; The query module is configured to provide the incentive recipient with an access interface for viewing the incentive credentials, and to provide incentive-related data in response to query requests; The audit and reconciliation module is configured to perform intelligent audit and automated reconciliation processes on the issued incentive data. After the intelligent audit and reconciliation are completed, a standardized incentive entry file is generated and sent to the payroll management system. The incentive entry file is used by the payroll management system to include the incentive amount in the corresponding incentive recipient's monthly performance pay.

[0019] Thirdly, this disclosure provides an electronic device comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores one or more computer programs executable by the at least one processor, the one or more computer programs being executed by the at least one processor to enable the at least one processor to perform the aforementioned digital closed-loop management method for enterprise instant incentives.

[0020] Fourthly, this disclosure provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the aforementioned digital closed-loop management method for real-time enterprise incentives.

[0021] Fifthly, this disclosure provides a computer program product that includes computer-readable code or a non-volatile computer-readable storage medium carrying computer-readable code. When the computer-readable code is run in a processor of an electronic device, the processor in the electronic device executes the above-described digital closed-loop management method for enterprise instant incentives.

[0022] Beneficial effects: This disclosure provides a digital closed-loop management method and system for enterprise instant incentives, as well as electronic devices, computer-readable storage media, and computer program products. By organically connecting five key aspects—incentive rule configuration, batch granting, intelligent auditing, automated reconciliation, and payroll integration—a complete digital management closed loop is formed. This achieves full online and automated integration of the incentive process; from rule configuration to incentive voucher generation and push, and then to auditing, reconciliation, and payroll synchronization, the entire process requires no manual intervention, eliminating the breakpoints of traditional models such as multi-system switching, manual data entry, and offline processing, significantly improving the overall operational efficiency of incentive management. It shifts risk control from "post-event correction" to "pre-event prevention"; before incentive granting, the system performs multi-dimensional compliance checks, combining a risk scoring model based on historical data to intercept abnormal behaviors such as over-granting, incorrect or missed granting, and high-risk recipients in real time, ensuring the compliance and security of incentive granting from the source. It constructs an intelligent auditing and collaborative reconciliation mechanism; the system performs full automatic auditing of granted data and quantifies the responsibility of the reconciliation entity through a multi-dimensional permission priority algorithm. It achieves seamless integration of incentive data with the payroll system; the system automatically generates standardized accounting files and synchronizes them to the payroll management system through an interface. The incentive amount is distributed along with the monthly salary and listed separately on the payslip, which simplifies the financial accounting process and enhances the transparency of incentives and employees' sense of gain.

[0023] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of this disclosure, nor is it intended to limit the scope of this disclosure. Other features of this disclosure will become readily apparent from the following description. Attached Figure Description

[0024] The accompanying drawings are provided to further illustrate the present disclosure and form part of the specification. They are used together with the embodiments of the present disclosure to explain the disclosure and do not constitute a limitation thereof. The above and other features and advantages will become more apparent to those skilled in the art from the detailed description of exemplary embodiments with reference to the accompanying drawings, in which: Figure 1 A flowchart illustrating a digital closed-loop management method for enterprise real-time incentives provided in Embodiment 1 of this disclosure; Figure 2 A flowchart illustrating a digital closed-loop management method for enterprise real-time incentives provided in Embodiment 2 of this disclosure; Figure 3 A block diagram of a digital closed-loop management system for enterprise real-time incentives provided in Embodiment 3 of this disclosure; Figure 4 This is a block diagram of an electronic device provided in Embodiment 4 of this disclosure. Detailed Implementation

[0025] To enable those skilled in the art to better understand the technical solutions of this disclosure, exemplary embodiments of this disclosure are described below with reference to the accompanying drawings, including various details of the embodiments of this disclosure to aid understanding. These should be considered merely exemplary. Therefore, those skilled in the art should recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of this disclosure. Similarly, for clarity and conciseness, descriptions of well-known functions and structures are omitted in the following description.

[0026] Where there is no conflict, the various embodiments of this disclosure and the features thereof in the embodiments may be combined with each other.

[0027] As used herein, the term “and / or” includes any and all combinations of one or more related enumerated entries.

[0028] The terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit this disclosure. As used herein, the singular forms “a” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will also be understood that when the terms “comprising” and / or “made of” are used in this specification, the presence of the stated feature, integral, step, operation, element, and / or component is specified, but the presence or addition of one or more other features, integrals, steps, operations, elements, components, and / or groups thereof is not excluded. Words such as “connected” or “linked” are not limited to physical or mechanical connections but can include electrical connections, whether direct or indirect.

[0029] Unless otherwise specified, all terms used herein (including technical and scientific terms) have the same meaning as commonly understood by one of ordinary skill in the art. It will also be understood that terms such as those defined in common dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant art and this disclosure, and will not be interpreted as having an idealized or overly formal meaning unless expressly so defined herein. Those skilled in the art will understand that the specific order of execution of the steps in the methods described above in the specific embodiments should be determined by their function and possible internal logic.

[0030] The digital closed-loop management method for enterprise real-time incentives according to embodiments of this disclosure can be executed by electronic devices such as terminal devices or servers. Terminal devices can be in-vehicle devices, user equipment (UE), mobile devices, user terminals, terminals, cellular phones, cordless phones, personal digital assistants (PDAs), handheld devices, computing devices, in-vehicle devices, wearable devices, etc. The method can be implemented by a processor calling computer-readable program instructions stored in memory. Alternatively, the method can be executed by a server.

[0031] Example 1

[0032] Figure 1 This is a flowchart illustrating a digital closed-loop management method for enterprise real-time incentives provided in Embodiment 1 of this disclosure, as follows: Figure 1 As shown, the method includes: Step S100: Receive incentive rule configuration instructions, and determine the incentive amount, incentive items, issuing entity identifier, reconciliation entity identifier, and information push channel according to the incentive rule configuration instructions; Step S200: In response to the issuance instruction, perform a batch incentive issuance operation based on the incentive rules; and before the incentive issuance, perform compliance verification on each issuance recipient and the corresponding amount; for issuance recipients that pass the compliance verification, generate the corresponding incentive voucher, and push the incentive voucher through the information push channel, while sending a reminder message to the corresponding incentive recipient; Step S300: Provide the incentive recipient with an access interface for viewing the incentive certificate, and provide incentive-related data in response to the query request; Step S400: Perform intelligent auditing and automated reconciliation processes on the issued incentive data; after the intelligent auditing and reconciliation are passed, generate a standardized incentive entry file and send the incentive entry file to the payroll management system; wherein, the incentive entry file is used to enable the payroll management system to include the incentive amount in the corresponding incentive recipient's monthly performance pay.

[0033] This disclosure utilizes a dedicated server system, either self-built or integrated by the enterprise, as the incentive management system. This server achieves data interoperability with the enterprise's organizational structure system, instant messaging platform (WeChat Work, DingTalk), and payroll management system via API (Application Programming Interface). The system adopts a B / S (Browser / Server Architecture) architecture, supporting access from both PC-based management backends and mobile devices (APP / Mini Programs). The digital closed-loop management method for enterprise instant incentives in this disclosure aims to achieve online, automated, and visualized integration of the entire incentive process through systematic configuration, automated disbursement, and intelligent auditing and reconciliation, thereby improving the efficiency and compliance of incentive management. Specifically: Step S100: Receive incentive rule configuration instruction System administrators (such as compensation specialists in the human resources department) log in to the incentive management system backend and enter the "Incentive Rule Configuration" function module.

[0034] The administrator first selects the dimension for dividing the management scope. In this embodiment, a composite dimension of "region + business line" is selected, for example, creating an independent incentive management unit for "Branch Office in Location A - Public Business Line".

[0035] Within this management unit, the administrator configures the following parameters in sequence: Incentive limits: The maximum monthly total amount for this unit is set at 20,000 yuan, and the maximum single incentive amount is 200 yuan. Incentive Item: Fill in "First Quarter Public Business Opening Success Award"; Issuing entity identifier: Zhang, the public business line manager of the branch office in location A, is designated as the issuer; Reconciliation Entity Identification: Li, a specialist from the Finance Department, and Wang, a specialist from the Human Resources Department, are designated as the persons responsible for reconciliation; Information push channel: Select "Branch A - Public Business Line All Staff Group" (Enterprise WeChat Group) from the system's pre-set instant messaging group list, and associate the group's Webhook address.

[0036] After configuration, the administrator clicks "Save and Apply". The system will encapsulate the above rules into a standardized configuration template, store it in the database, and generate a unique identifier for the rule (such as RUL-2025-0001).

[0037] Step S200: In response to the issuance instruction, perform batch incentive granting.

[0038] The issuing entity (Zhang, the public business line manager of branch office A) logs into the system and enters the "Incentive Issuance" function module. The system automatically loads the incentive rule templates available within its authority (including the aforementioned RUL-2025-0001).

[0039] Mr. Zhang selected the rule template, clicked the "Bulk Distribution" button, and uploaded an Excel file containing the names, employee numbers, and corresponding incentive amounts for 12 incentive recipients (e.g., a total amount of 3,600 yuan). After the system parsed the file, it displayed the list of incentives to be distributed on the page.

[0040] The system performs compliance checks on each incentive recipient in the list.

[0041] For example, a preferred verification logic includes: Has the total incentive amount received by this individual this month exceeded 20,000 yuan? Does the amount to be disbursed in this single transaction exceed 200 yuan? Does the sum of the amount received by this individual this month and the amount to be disbursed this time exceed 20,000 yuan? Is the incentive risk score of this object lower than the preset threshold (the threshold can be set to 60 points)?

[0042] After verification, 11 out of 12 individuals passed the verification. One individual (employee ID 10086) had already received a total of 18,000 yuan in incentives this month, with 300 yuan pending payment this time. The total of the accumulated and pending payments amounted to 18,300 yuan, which did not exceed 20,000 yuan. However, because his risk score was 78 points (exceeding the threshold of 60 points), he was identified as a "high-risk individual" by the system, was blocked, and an abnormal log was generated.

[0043] For the 11 individuals who passed the verification, the system automatically triggered the incentive credential generation process: The system retrieves a "New Year Red Envelope" visual template from the template library; Automatically fill in the recipient's name, incentive amount (e.g., 200 yuan), and reason for incentive ("First Quarter Public Business Opening Success Award") into the specified positions in the template; Call the Canva platform interface to generate a visual red envelope image containing the above information; Store the image to the system file server and generate the access path imgPath.

[0044] Subsequently, the system generates a standardized graphic and text push message for each incentive recipient, in the format: "[Incentive Bonus] Congratulations on receiving an instant incentive!"

[0045] The system packages this information along with the Webhook address of the recipient's group (i.e., "Branch A - Public Business Line All Staff Group") and stores it in a dataset named dataList. The system iterates through this dataset, parsing the Webhook address type: if the address contains qyapi.weixin.qq.com, it calls the WeChat Work interface; if it contains DingTalk feature fields, it calls the DingTalk interface. In this embodiment, the target group is WeChat Work, and the system calls the DingTalkUtil.sendMsgNEWS method to complete the push notification.

[0046] At the same time, the system sent a text message to the reserved mobile phone numbers of the 11 incentive recipients, which read: "You have received an instant incentive bonus. Please check the details on WeChat for the company."

[0047] Step S300: Provide a viewing interface to the incentive object.

[0048] When the incentive recipients receive the above text and image information in the company's WeChat group, they can click on the visual voucher link to be redirected to the system's H5 page to view a high-definition version of the incentive red envelope image, which clearly displays their name, incentive amount, and reason for issuance.

[0049] In addition, incentive recipients can log in to the corresponding app, enter the rewards section, and the system will respond to their query requests, displaying their historical incentive records, including detailed data for this distribution: distributor (Zhang), distribution time (2025-03-15 14:23), single amount (200 yuan), cumulative monthly incentive amount (1,200 yuan), etc. The system also supports filtering queries by time range, incentive item, and other criteria.

[0050] Step S400: Intelligent Auditing and Automated Reconciliation

[0051] In a preferred embodiment, a system timed task is initiated to process in batches all incentive data that have been granted but not yet audited and reconciled the previous day.

[0052] (1) Intelligent auditing

[0053] The system first performs an incentive object matching audit, such as: Verify whether the actual recipient belongs to the target group defined by the incentive program (such as on-the-job employees of the public business line of the branch in location A). Verify whether it meets business rules (such as achieving first-quarter performance targets); Verify whether the issuance date (March 15, 2025) is within the validity period of the incentive program (March 1, 2025 to March 31, 2025).

[0054] Upon verification, all 11 incentives met the requirements.

[0055] The system then performs a compliance audit of the incentive amount, for example: Group the issued incentive data by region (Location A) and business line (Public); The maximum single transaction amount within this group is calculated to be 200 yuan. The preset single transaction limit is 200 yuan, and the verification is passed. The total amount disbursed to this group this month is calculated to be 11,200 yuan, with a preset total limit of 20,000 yuan. The verification is successful.

[0056] (2) Automated reconciliation

[0057] After the intelligent audit is approved, the system initiates the reconciliation process. The system reads the pre-configured reconciliation entity list for this incentive program: Finance Department Specialist Li and Human Resources Department Specialist Wang. The reconciliation entities then verify that the batch of incentive lists is correct and confirm the reconciliation to complete the process.

[0058] (3) Generation and sending of accounting documents

[0059] After both intelligent auditing and reconciliation are passed, the system automatically generates a standardized incentive accounting file. This file is preferably in CSV format and can contain the following structured fields: incentive recipient's name, employee ID, national ID number, incentive amount, issuance date, incentive item code, and cost center code.

[0060] The system automatically sends the file to the designated directory of the enterprise payroll management system via a pre-configured SFTP interface (SSH File Transfer Protocol Interface / Secure File Transfer Protocol Interface). Upon successful transmission, the system logs the data and updates the batch status to "received".

[0061] The payroll management system periodically scans the designated directory, automatically parses new files, associates the incentive amount with the corresponding incentive recipient's monthly performance pay account, calculates and distributes the tax along with the monthly salary, and lists it separately as an "instant incentive bonus" item in the electronic payslip.

[0062] This embodiment of the disclosure achieves seamless online integration of the entire incentive process through the aforementioned steps: from rule configuration, batch granting, instant notification, self-service viewing to intelligent auditing, automatic reconciliation, and payroll synchronization, all steps are automatically processed within the system, completely eliminating process breakpoints involving cross-systems, cross-departmental processes, and manual intervention in the traditional model. The overall processing cycle for a single incentive, from issuance to accounting, is shortened from the original 3-5 working days to minutes. It also achieves proactive and automated risk control: by embedding multi-dimensional compliance verification and risk scoring models in the issuance stage, the system intercepts high-risk individuals and over-issuance behaviors in real time before incentive granting. In this embodiment, one high-risk transaction was successfully identified and intercepted, avoiding potential financial losses and compliance risks. Furthermore, it achieves intelligent and quantifiable reconciliation processes: through a multi-dimensional permission priority algorithm, the system automatically identifies and assigns responsibility to the reconciliation entity. In this embodiment, the reconciliation time is reduced from approximately 2 hours of manual verification to automatic system determination, eliminating the need for repetitive work by multiple people. It achieves seamless integration of incentive data with the payroll system: the automatic generation and interface sending of standardized accounting documents enable incentive amounts to be directly incorporated into the payroll calculation system without the need for manual entry by financial personnel, eliminating the risk of data errors and omissions. At the same time, the transparent listing of pay slips enhances the incentive recipients' sense of gain and trust.

[0063] Furthermore, the incentive rule configuration instructions include instructions for dividing the management scope by geographical dimension or business line dimension, and within the management scope, setting the incentive amount in the form of electronic red envelopes, the description of the incentive item, the issuer identifier, the reconciliation identifier, and specifying a specific group based on instant messaging tools as the information push channel.

[0064] The configuration of incentive rules includes: dividing the management scope by geographical or business line dimensions, setting the incentive amount in the form of red envelopes, description of incentive items, giver, reconciler, and push groups based on instant messaging tools.

[0065] Specifically, after logging into the system, the incentive administrator first selects the dimension for dividing the management scope based on the company's actual business needs. For example, the incentive management scope can be clearly defined by geographical dimension (such as specific cities or districts) or business line dimension (such as public professional line or government and enterprise professional line) to ensure that subsequent incentive operations are carried out within a clear management boundary.

[0066] After defining the management scope, administrators need to configure incentive limits in the form of red envelopes, including a total monthly limit and a single transaction limit. The total monthly limit is the total amount of incentives that can be distributed within a month for that scope, and the single transaction limit is the maximum amount of incentives that can be distributed to a single recipient in a single transaction, thereby achieving upfront control over incentive costs.

[0067] Subsequently, the administrator needs to clarify the incentive items and describe the specific business scenarios of the incentives, such as "quarterly performance target achievement reward" or "key project breakthrough incentive", to ensure that the incentive recipients clearly understand the reasons for receiving the incentives.

[0068] At the same time, designate the disbursement entity, namely the personnel responsible for initiating incentive disbursement, such as regional managers and department heads; and the reconciliation entity, namely the personnel responsible for subsequent incentive data verification, such as finance department specialists and human resources department specialists, to clarify the responsibilities of each role in the incentive process.

[0069] Finally, configure the information push channels by selecting the corresponding WeChat or DingTalk push groups from the system as the real-time delivery channels for incentive information.

[0070] Once all configuration items are completed, the system automatically saves the rules as a standardized template and stores them in the database. This provides basic parameters and execution basis for subsequent batch incentive distribution, ensuring the consistency and traceability of incentive rules.

[0071] Furthermore, the compliance verification of each recipient and corresponding amount includes: Each target incentive object is automatically verified based on preset verification rules, and the target incentive object that meets all the conditions of the preset verification rules is determined to have passed the compliance verification. The preset verification rule conditions include: The cumulative incentive amount received by the recipient during this management period has not exceeded the maximum total amount for this management period. The amount of the single incentive to be issued to them this time does not exceed the upper limit of the single amount; The sum of the cumulative incentive amount received by the recipient during this management period and the amount to be distributed this time does not exceed the upper limit of the total quota for this management period; The incentive risk score of the recipient did not exceed the preset risk threshold.

[0072] The issuing entity executes batch incentive distribution based on incentive rules. After the system verifies the compliance of the recipients and the amount, it generates incentive vouchers and pushes them through preset channels, while also sending reminder messages to the incentive recipients.

[0073] The verification is triggered when the issuing entity (e.g., Mr. Zhang, the public business line manager of branch office A) uploads the list of incentives to be issued to the system and clicks "Confirm Issuance." The system immediately triggers the compliance verification engine. Before the verification is completed and the result is returned to the user, no incentive vouchers are generated, and no push instructions are issued. This is the core technical feature of "pre-interception." In this disclosed embodiment, "performing batch incentive issuance operations" is not equivalent to "completing the final payment." It specifically refers to an "online, digital incentive granting and confirmation" process. In this process, the system acts as follows: according to the instructions, it generates a digital incentive record with validity and financial commitment for a batch of incentive recipients. Core output: generating and pushing "incentive vouchers" (such as visual red envelope images, electronic certificates with amount and reason). This voucher represents the company's commitment to pay the incentive. User perception: Incentive recipients receive an immediate notification, seeing how much reward they received and the reason, thus generating an incentive effect. Funding status: At this time, the incentive amount is not actually paid into the individual's bank account, but is recorded in the system as a "pending payment, pending write-off" liability.

[0074] The compliance verification engine in this embodiment consists of the following modules: Quota Verifier: Reads the "Incentive Issuance Transaction Record" in the database in real time and dynamically aggregates the cumulative amount according to management unit, management cycle, and issuance object; Rule Parser: Reads parameters such as total periodic quota and single transaction quota from the incentive rule configuration; Risk Scoring Service: Returns the current risk score of the issuance object in real time through independent microservice calls; Decision Arbitrator: Performs logical AND operation on the return results of each verifier and outputs the final "pass / block" decision.

[0075] In the dynamic calculation of the total period limit, for example, the total period limit is 20,000 yuan. When calculating the "cumulative incentive amount for this month", the system will add up all records in the management unit that have been issued and are in the "granted" status in real time, including: those that have completed audit and reconciliation; those that have been issued but have not yet completed audit and reconciliation; and the amount to be issued for other objects that have passed the verification in this verification (in concurrent scenarios).

[0076] The system employs database row-level locking or optimistic locking mechanisms to ensure that the calculation and deduction of the total periodic amount are atomic and consistent during high-concurrency batch distribution, thus preventing "overselling".

[0077] In this embodiment, the risk score service is calculated in real time. After an incentive is distributed, the system asynchronously updates the feature data of the object and recalculates the risk score for verification in the next distribution. For example, after Zhang San receives a 200 yuan incentive, his cumulative amount for the month is updated to 2,000 yuan, the frequency increases by 1, and the risk score may be slightly adjusted from 45 points to 48 points.

[0078] This disclosure implements "zero-time-difference pre-emptive interception" of incentive disbursement risks through the aforementioned compliance verification. In traditional incentive management, over-disbursement and irregular disbursement usually rely on manual spot checks afterward, by which time funds have already been paid, making recovery extremely costly. This embodiment achieves "second-level pre-disbursement verification" for each incentive by embedding four verification conditions into the pre-disbursement execution stage. A multi-dimensional quota control system is constructed; through the organic combination of three quota verifications—total periodic amount, single-transaction quota, and cumulative constraints within the period—the system constructs a three-layer quota control model: point (single transaction), line (individual cumulative), and surface (management unit total amount). The single-transaction upper limit controls the intensity of a single incentive stimulus, preventing excessive incentives in a single instance; the individual monthly cumulative limit avoids excessive concentration of incentive resources in a few individuals; and the unit total amount ensures the overall controllability of the incentive budget at the management unit level. The logic and judgment of these three aspects ensure that any single-dimensional breach cannot bypass the system's interception, achieving 100% coverage of quota control rigor. For the first time, a risk scoring model is embedded into the real-time decision-making link of incentive disbursement. In this embodiment, risk scoring is no longer a reference indicator in offline reports, but a real-time, mandatory, and automated precondition for disbursement. This ensures compliance with behavioral and operational patterns. By quantifying historical behavioral characteristics into real-time scoring thresholds, the system is capable of identifying hidden risks such as "high-frequency anomalies," "cross-regional anomalies," and "concentrated, sudden disbursement." Fourth, it achieves "configurable, inheritable, and traceable" verification rules. The four verification conditions in this embodiment have thresholds (total periodic amount, single transaction limit, and risk threshold) that can be configured with different levels of stringency by different management units (e.g., a single transaction limit of 500 yuan for government and enterprise business lines and 200 yuan for public business lines); rule changes take effect immediately without requiring system downtime for deployment; each interception has a complete log, supporting auditing, appeals, and reviews, forming a closed-loop management system. This significantly improves processing efficiency and accuracy in batch disbursement scenarios. The system supports verification throughput of thousands per batch and tens of thousands per day through asynchronous aggregated queries, cached quota snapshots, and batch decision arbitration. Compared to traditional manual verification, verification efficiency is improved by more than a thousand times, with a zero error rate.

[0079] Furthermore, the incentive risk score is obtained in the following way: Collect incentive record data of the recipients within a preset historical period; Multiple feature variables are extracted from the incentive record data, including at least one of the following: amount disbursed, frequency of disbursement, time distribution, geographical region, and business line. Obtain the regression coefficients corresponding to each feature variable, which are predetermined through regression analysis; The incentive risk score is obtained by multiplying the value of each feature variable by its corresponding regression coefficient and summing all such products.

[0080] The process of incentivizing risk scoring includes the risk scoring model construction phase and the risk scoring operation phase.

[0081] The risk scoring model construction phase includes: (1) Data collection and sample determination The system extracts historical incentive payment records from the incentive database within a preset historical period (such as the last 12 calendar months) as modeling samples. The samples cover employees from all branches, business lines, and job levels across the province, ensuring that the model has broad representativeness and generalization ability.

[0082] For each employee, the system aggregates multiple incentive records within the same month into a single sample record, using the natural month as the cycle, and associates the employee's basic attribute information (region, business line, job level, etc.) and incentive behavior characteristics for that month.

[0083] (2) Selection and definition of characteristic variables

[0084] The system extracts five categories of feature variables from the aggregated sample records. Each category of features describes the behavioral patterns and risk propensities of the incentive recipients from different dimensions, including: amount of payment, frequency of payment, time distribution, region, and business line.

[0085] The system also introduces control variables as baseline corrections for the model, including: job grade coefficient (senior managers usually have higher incentive amounts), business line baseline level (there are natural differences in the frequency and amount of incentives across different business lines), and seasonal factors (the end of the year and the beginning of the new year are peak incentive seasons).

[0086] (3) Definition and labeling of dependent variable

[0087] The risk scoring model belongs to supervised learning, which requires pre-defining "what is high risk". The system adopts a composite labeling strategy: positive labeling (high-risk samples): the employee-month samples corresponding to incentive records that were found to be illegal, abnormal or questionable by the compliance department in the past audit are labeled as high risk; negative labeling (low-risk samples): the employee-month samples that were randomly selected in the same period and were not subject to any audit objections and whose incentive mode was in line with the normal level of the position are labeled as low risk; Neutral samples: Samples that are not explicitly labeled but have some ambiguity, and are not used in training or are given low weights.

[0088] (4) Regression analysis and coefficient determination

[0089] The system uses multiple linear regression as the modeling algorithm. The basic form of the model is: Incentive risk score = intercept term + sum of products of each feature variable and its regression coefficient Modeling process: Feature selection: Through correlation analysis, redundant features that are too weakly correlated with the dependent variable or highly collinear with other features are removed, and the core feature combination with the strongest explanatory power for risk is retained. Model training: The labeled dataset is divided into a training set (70%) and a validation set (30%), and the regression coefficients of each feature variable are estimated using the least squares method; Coefficient Explanation: Positive coefficient: The larger the feature value, the higher the risk score (such as month-end concentration, cross-domain activity). Negative coefficient: The larger the feature value, the lower the risk score (e.g., stable locality, single-line operation). Absolute value of coefficient: reflects the weight of the feature's contribution to the risk score; Model validation: Calculate the consistency between the predicted score and the true label on the validation set, and evaluate the model's discriminative ability using metrics such as KS value and AUC (Area Under the Curve). Threshold determination: Based on business risk preferences, select the score corresponding to the balance point between recall and precision on the validation set as the risk threshold (e.g., 60 points).

[0090] (5) Model storage and version management

[0091] The trained model is serialized into a model file, which includes: List of feature variables and their corresponding regression coefficients; Intercept term; Standardized parameters for each feature (mean and standard deviation, used for real-time data normalization); Meta-information such as model version number, training date, and training data range.

[0092] The model file is deployed to the in-memory cache of the risk scoring service, supporting real-time invocation at the millisecond level.

[0093] The operational phases of risk scoring include: (1) Timing of scoring Risk scoring is used in real time during the compliance verification process for each incentive disbursement. Once the disburser uploads the list of incentives to be disbursed and clicks "Confirm Disbursement," the system initiates four concurrent verifications, with the risk scoring service and the credit limit verification service running in parallel.

[0094] (2) Real-time acquisition of feature data

[0095] After receiving the feature vector, the risk scoring service performs the following calculation steps: Feature alignment: Arrange real-time features according to the feature order during model training, and fill missing features with default values ​​(such as 0); Feature standardization: Using the standardization parameters provided with the model, the original feature values ​​are converted into dimensionless standard scores; Weighted summation: Multiply each standardized eigenvalue by its corresponding regression coefficient; Cumulative intercept: Sum all product results and add the model intercept term; Score mapping: The original calculated value is mapped to the integer range of 0-100 through the Sigmoid function or piecewise linear transformation, which facilitates business understanding and threshold setting; Return result: The final score (e.g., 45 points, 75 points) will be returned to the compliance verification engine.

[0096] This embodiment transforms incentive risk from "fuzzy experience" into "quantifiable value." Traditional incentive management relies heavily on the personal experience of auditors for risk assessment, resulting in inconsistent standards, difficulty in replication, and lack of automation. This embodiment uses a regression analysis model to weight and aggregate multi-dimensional behavioral characteristics of incentive recipients, such as amount, frequency, time distribution, region, and business line, into a single, comparable risk score. This transformation quantifies, standardizes, and engineers the abstract concept of "risk," providing accurate, stable, and interpretable input for subsequent automated decision-making (such as disbursement interception, approval routing, and audit sampling). Secondly, it achieves "real-time" and "proactive" risk identification. Traditional audits are mostly post-event sampling; by the time violations are discovered, incentive funds have already been paid, making recovery difficult. This embodiment embeds risk score calculation into the compliance verification process before disbursement, controlling the score response time to the millisecond level, enabling real-time risk scanning for each incentive. The fundamental shift in timing—from "days after the event" to "milliseconds before"—is the core technological advancement of this invention. A risk characteristic system combining static and dynamic approaches was constructed. This enabled data-driven and dynamic evolution of risk control rules, significantly improving the efficiency of risk control resource allocation.

[0097] Furthermore, generating the corresponding incentive voucher and pushing the incentive voucher through the information push channel includes: Based on the selected template and the parameters of this incentive, a visual incentive voucher containing the recipient's identifier, incentive amount, and reason for issuance is automatically generated. Generate standardized push notifications containing the links to the visualized incentive credentials; Based on the interface address pre-configured for the information push channel, the instant messaging tool interface matching the interface address type is invoked to automatically send the standardized push information to the corresponding group.

[0098] During system initialization or routine maintenance, operations personnel design and input incentive voucher templates through a visual template configuration interface. Template Design: The system provides a variety of preset template styles (such as "Honor and Recognition", "Performance Target Achievement", "Project Breakthrough", "Holiday Greetings"). Operations personnel can select a template and customize the background image, main color, font, layout, etc. Placeholder definition: Several dynamic placeholders are predefined in the template, such as {Employee Name}, {Incentive Amount}, {Reason for Incentive}, {Date of Issuance}, {Honor Badge}, etc. Template storage: The completed template is rendered as a template definition file, which includes: a unique template identifier (TMPL-2025-001); the template thumbnail and preview image paths; the background image resource address; placeholder coordinates and style definitions (JSON format); and applicable scenario tags (such as "Public Business Line" and "Government and Enterprise Business Line").

[0099] Template Authorization: Administrators can authorize templates to designated management units. For example, the "New Year Red Envelope" template is only available to the provincial company's public business line.

[0100] (2) Template selection and loading

[0101] When the issuing entity performs batch issuance, the system automatically selects or manually selects the incentive voucher template according to the following priority rules: Rule association template: In the incentive rule configuration, administrators can pre-bind default templates for specific management units; Intelligent scenario matching: The system automatically recommends the template with the highest matching degree based on the keywords of the "incentive items" (such as "good start", "key battle", "service star"). Manual overlay selection: The recipient can manually switch to other available templates on the distribution interface and preview the effect in real time.

[0102] (3) Automatic generation of visual incentive vouchers

[0103] For each incentive recipient who passes the verification, the system initiates a parallel task to generate visual credentials: Step 1: Parameter Extraction and Assembly The system extracts the following dynamic parameters from the issuance instructions and incentive recipient files: Recipient identifier: Employee name (e.g., "Zhang San"), employee number (optional); Incentive amount: 200 yuan; Incentive reason: "First Quarter Public Business Opening Success Award"; Issuance Date: 2025-03-15; Honor Badge: The corresponding badge level will be automatically matched according to the incentive amount (e.g., 200 yuan will match the "Silver Award" badge). Corporate identity: company logo, company name, etc.

[0104] Step 2: Rendering service call

[0105] The system packages the template identifier and the above parameters into a rendering request and sends it to the visualization rendering service. The rendering service can be implemented in ways including, but not limited to: Method 1 (Third-party platform integration): Call the standard API of platforms such as Canva and Gaoding Design, take the template ID and dynamic parameters as input, and return the URL of the rendered image (Uniform Resource Locator).

[0106] Method 2 (Self-developed rendering engine): Based on Canvas or SVG technology, the image is dynamically drawn on the server side according to the template definition file and parameters.

[0107] Step 3: Credential Storage and Access Path Generation

[0108] The image files returned by the rendering service are uploaded to the system's distributed file storage cluster (such as OSS or Ceph) and a permanent access path (URL or CDN (Content Delivery Network) acceleration address) is generated.

[0109] Step 4: Versioning and archiving of vouchers

[0110] Each generated incentive voucher image is persistently stored and linked one-to-one with the incentive disbursement record. Employees can directly access the original image of the voucher when logging into the system at any time in the future to view historical incentives. This mechanism ensures the retention of evidence of incentive grants and the ability to trace historical records.

[0111] Once the visual credential is generated, the system immediately proceeds to the push notification construction phase: Step 1: Structured assembly of text and image information The system calls the message builder to assemble the credential link and enterprise-defined text into a standardized message format that conforms to the instant messaging platform's specifications.

[0112] Step 2: Synchronous generation of SMS notification messages

[0113] In addition to instant messaging push notifications, the system also provides SMS reminders. The SMS messages are highly condensed, containing only the core incentive elements, serving as a supplementary reach layer to instant messaging push notifications to address scenarios where employees fail to read group messages promptly.

[0114] Based on the information push channels configured according to the incentive rules, query the pre-stored group information; The system packages the Webhook address and standardized message into a push task unit, and identifies the platform type of the Webhook address through string feature matching or regular expressions. Based on the identification result, it dynamically routes to the corresponding interface adapter. The adapter encapsulates an HTTP POST request, serializes the message object into JSON, and sends it to the target Webhook address.

[0115] This disclosed embodiment upgrades incentive notifications from "transactional notifications" to "experiential incentives" through three core capabilities: enhanced visualization for a better incentive experience, adapter-based shielding of platform differences, and engineering-driven assurance of high concurrency and availability. This fundamentally solves systemic problems in traditional incentive notifications, such as monotonous information presentation, fragmented delivery channels, and high development costs across multiple platforms. It achieves second-level delivery and precise distribution of incentive information.

[0116] Furthermore, the intelligent audit includes: Incentive recipient matching audit: Verify whether the actual recipient of the incentive belongs to the target group defined by the incentive, whether they meet the relevant business rules, and whether the issuance time is within the preset validity period; Incentive Amount Compliance Audit: Verify whether the incentive amount complies with the limit requirements for a single amount and the total amount limit requirements for a specific group.

[0117] The system automatically triggers intelligent audit tasks at fixed times each day or after each batch of incentives is distributed, scanning all incentive records with a status of "distributed, not audited" to achieve 100% full coverage review.

[0118] Incentive recipient matching audit

[0119] The system performs the following triple verification in parallel for each stimulus record: Target audience identity verification: Compare the incentive recipient's department, position, tags, and other information with the target audience definition specified in the incentive rules to confirm whether they belong to the scope of eligible recipients.

[0120] Business rule eligibility verification: By calling business system interfaces or querying performance snapshots, verify whether the incentive recipients meet the preset performance conditions (such as task completion rate, ranking, etc.) within the assessment period.

[0121] Validity period verification: Compare the incentive issuance time with the valid start and end dates set in the rules to confirm whether it is within the allowed time window.

[0122] Judgment logic: All three checks must pass for the matching audit to be considered qualified; if any one fails, it is marked as "matching abnormal" and enters the abnormal handling process.

[0123] Incentive Amount Compliance Audit

[0124] The system groups and aggregates the issued incentive data according to a composite dimension of region and business line, and performs the following dual verification on each group: Single transaction limit verification: Extract the maximum single transaction amount of all incentive records within the group and compare it with the preset single transaction limit for that group to confirm whether the limit has been exceeded.

[0125] Total Amount Limit Verification: Calculate the total amount of all incentive records within the group and compare it with the preset total amount limit for that group to confirm whether the limit has been exceeded.

[0126] Judgment logic: Both checks must pass for the amount to be considered compliant and audited; if either check fails, it will be marked as "abnormal amount" and enter the abnormal handling process.

[0127] The system automatically generates a structured audit work order for each type of anomaly and pushes it to the responsible person for reconciliation according to the rules. The responsible person can complete the handling operations such as confirming the violation, appealing for exemption, and retroactive approval within the system. After the handling is completed, the abnormal status is lifted or the record is archived, forming a fully online tracking of the discovery-handling-closed loop process.

[0128] This disclosed embodiment achieves a leap in audit scope from "sampling" to "full coverage." The system automatically scans every incentive record, eliminating blind spots in manual sampling and increasing the risk detection rate several times over. It constructs a precise verification system integrating "identity, eligibility, and timeliness." This locks in the compliance of incentive disbursement from three independent dimensions, preventing high-frequency issues such as mis-issuance, fraudulent claims, and overdue disbursements. A two-tiered amount control mechanism of "single transaction + grouping" is established. This controls the intensity of individual incentives while ensuring the rigidity of team budgets, forming a comprehensive and multi-dimensional limit defense line. It achieves standardization and traceability in handling audit anomalies. The work order-based process ensures clear responsibilities, defined timelines, and complete records for anomaly handling, significantly improving compliance management efficiency. Audit conclusions can be fed back into the risk scoring model and rule configuration, driving the continuous iteration and evolution of audit rules.

[0129] Furthermore, the compliance audit of the incentive amount specifically includes: The issued incentive data is grouped according to two dimensions: region and business line. For each group, perform the following validation: Verify whether the maximum value among all single incentive amounts within the group is not greater than the preset single amount limit for the group; Verify whether the sum of all incentive amounts within the group does not exceed the preset upper limit of the total amount for the group.

[0130] This embodiment continues the aforementioned application scenario, where the incentive management system automatically initiates an incentive amount compliance audit task during the daily batch processing period. The audit scope covers all newly added incentive records with a status of "issued" from the previous day, and is combined with historical records already issued within the management cycle.

[0131] The system first reads the grouping dimension definition from the incentive rule configuration. In this embodiment, the grouping dimension has been pre-configured as a composite dimension of "region + business line", that is, each incentive record is assigned to a unique group based on the region (such as provincial company, city company, district / county company) and business line (such as public business line, government and enterprise business line, customer service business line) to which the recipient belongs.

[0132] Data Grouping and Aggregation: The system iterates through the incentive dataset to be audited, grouping and aggregating data according to the two fields of region code and business line code. For each unique region-business line combination, the system calculates the following two key indicators: Maximum incentive amount per transaction within a group: The maximum amount among all incentive records in that group; Total incentive amount within a group: The sum of the incentive amounts of all records in that group.

[0133] The aggregation computation employs parallel stream processing or distributed computing frameworks to handle the real-time auditing needs of tens of thousands of incentive records. The aggregation results are stored in an in-memory dataset in a structured format (region, business line, maximum single transaction amount, total amount, number of records, number of people involved).

[0134] Threshold comparison and anomaly detection

[0135] The system loads the threshold amount for each group from the incentive rule configuration: Maximum amount per transaction: The highest amount of incentive allowed per transaction for this group; Total limit: The total amount of incentives allowed to be issued by this group within this management cycle.

[0136] For each group, the system concurrently performs the following two checks: Check 1: comparison of the maximum single transaction threshold; Check 2: comparison of the total amount threshold. The two checks are independent and executed in parallel. Failure of either check is considered a failure to pass the compliance audit of the incentive amount for that group.

[0137] Exception handling and accountability

[0138] For groups marked as "single transaction exceeding limit abnormality" or "total amount exceeding limit abnormality", the system automatically associates the corresponding management unit and reconciliation responsible person with the group, generates an audit abnormality work order, and pushes it to the responsible person's to-do list.

[0139] An abnormal work order contains the following structured information: abnormality type (single transaction exceeding limit / total amount exceeding limit); group identifier (region + business line); actual value (maximum single transaction amount / total amount) and threshold; absolute value of the exceeding amount and the exceeding ratio; a list of incentive records involved (details can be drilled down); and suggested actions (such as: recovering the excess amount, supplementary approval, budget ratification, etc.).

[0140] Threshold dynamic maintenance and exemption mechanism

[0141] The system supports dynamic adjustment and temporary exemption of group quota thresholds: Budget Supplement: If the management unit receives additional budget during the period, the administrator can increase the total budget limit in the system, and the system will recalculate the judgment results of subsequent audit tasks; Single Transaction Exemption: For special scenarios where it is necessary to issue amounts exceeding the limit (such as special awards for senior management), an "Exemption Approval Form" can be associated when issuing the funds. The system will automatically skip the single transaction limit check for that record during the audit.

[0142] All threshold changes and exemption operations are traceable, ensuring a balance between the seriousness and flexibility of quota management.

[0143] This disclosure presents a refined quota control model based on a two-dimensional framework of "region + business line." Through composite grouping by region and business line, it achieves precise mapping of the combined incentive resource allocation model. The single-transaction limit controls the incentive intensity, preventing excessive incentives from causing internal unfairness or compliance risks; the total limit controls the total amount of resources, ensuring that the incentive budget operates within financial discipline. Furthermore, it significantly improves the automation level and processing efficiency of quota auditing.

[0144] Furthermore, the automated reconciliation process is a reconciliation method based on multi-dimensional permission priorities, including: For each entity participating in the reconciliation, a comprehensive permission score is calculated based on at least two preset dimensions, including geographical dimension, role dimension, and business line dimension. The priority order of reconciliation operations is determined based on the comprehensive authority scores of each entity. Once the entity with the highest priority completes the reconciliation confirmation, the reconciliation process for the relevant incentive data is automatically completed, and entities with lower priority do not need to perform the reconciliation operation again.

[0145] The incentive management system automatically triggers an automated reconciliation process after the intelligent audit task is completed.

[0146] Reconciliation task triggering conditions: The incentive data of a certain batch or a certain management unit has completed intelligent audit; there are no blocking anomalies in the audit results (or the anomalies have been handled); the incentive data of that batch has entered the reconciliation pending state.

[0147] Reconciliation Entity Identification: Retrieves a list of reconciliation entity identifiers pre-specified for this management unit from the incentive rule configuration. Each reconciliation entity identifier is associated with the following information: unique identifier (employee ID / account); entity name; department; job role; business line affiliation; and contact information (for task notifications).

[0148] Definition and quantification of permission dimensions

[0149] The system maintains a permission dimension dictionary to quantify the management permissions of the reconciliation entity across different dimensions into calculable scores. This embodiment enables the following three core dimensions: (1) Regional dimension The geographical dimension reflects the jurisdiction and hierarchical depth of the reconciliation entity within its geographical organizational structure.

[0150] The system automatically calculates the regional score for each entity through the organizational structure tree: the deepest regional level directly governed or traced by the entity is taken as the scoring basis.

[0151] (2) Role dimension

[0152] The role dimension reflects the level of authority and responsibility of the reconciliation entity in terms of functional division.

[0153] The system automatically obtains the role score for each entity through the job code mapping table or the role permission configuration table.

[0154] (3) Business line dimension

[0155] The business line dimension reflects the affiliation and coverage of the reconciliation entity within the business line.

[0156] The system automatically calculates the business line score for each entity using the personnel-business line relationship table: if an entity is authorized to reconcile accounts with multiple business lines, the highest score is taken; if an entity is authorized to reconcile accounts with a specific business line, the preset score corresponding to that business line is taken.

[0157] Calculation of comprehensive permission score

[0158] The system calculates a comprehensive authority score for each reconciliation entity. The comprehensive score uses a weighted summation model: The weighting coefficients reflect the degree of importance that enterprises attach to different dimensions in reconciliation management. Weighting coefficients can be configured and inherited at multiple levels, including system level, management unit level, and incentive rule level.

[0159] The system sorts the entities involved in the reconciliation process in descending order based on their overall authority scores, with higher scores indicating higher priority. Once the entity with the highest priority completes the reconciliation confirmation, the reconciliation process for the relevant incentive data is automatically considered complete, and entities with lower priority do not need to perform any further reconciliation operations.

[0160] By employing a reconciliation method based on multi-dimensional permission priorities, this approach restructures the process from "multiple parties repetitive reconciliation" to "one-person confirmation, all exemptions." Traditional reconciliation requires the signatures of finance, human resources, and business departments one by one, resulting in a lengthy, repetitive process. This implementation transforms multi-party reconciliation into a final confirmation by a single responsible party through permission quantification and priority ranking, completely eliminating redundant operational steps and reducing the reconciliation cycle from several days to minutes. It establishes an objective and calculable allocation mechanism for reconciliation responsibility. Traditionally, determining "who is ultimately responsible" in reconciliation often relies on manual coordination or administrative designation, leading to blurred boundaries of responsibility. This implementation, through weighted calculation of multi-dimensional permission scores, systematically and transparently assigns the final decision-making power for reconciliation to the most appropriately matched entity, avoiding buck-passing and mismatched responsibilities. It significantly reduces the communication and coordination costs of reconciliation work. Traditional reconciliation requires frequent confirmations via phone and email regarding "who has confirmed" and "whose turn it is." This embodiment transforms coordination from "human communication" to "system decision-making" by automatically assigning tasks, providing real-time status visibility, and automatically transferring tasks upon timeout, thus significantly reducing management costs.

[0161] Furthermore, the comprehensive authority score is calculated using the following formula: T = Pa We + Pb Wg + Pc Wf Where T represents the overall authority score, Pa, Pb, and Pc represent the individual scores of the entity in the dimensions of region, role, and business line, respectively, and We, Wg, and Wf are the preset weight coefficients for the corresponding dimensions.

[0162] The system calculates individual scores for each reconciliation entity across three dimensions. The overall authority score is then calculated using the formula described above. The weighting coefficients (We, Wg, Wf) reflect the degree of importance the enterprise attaches to different dimensions in reconciliation management, satisfying We + Wg + Wf = 1.

[0163] The system supports multi-level weight configuration: System-level default weights: such as region 0.4, role 0.3, business line 0.3, serving as the global baseline; Management unit level weights: System-level weights can be overridden in specific management units (such as "Government and Enterprise Business Line"), for example, adjusted to 0.3 for region, 0.4 for role, and 0.3 for business line; Incentive rule-level weights: Temporary weights can be specified in specific incentive rules to adapt to special scenarios.

[0164] In one implementation, the system calculates the combined authority scores for the two reconciliation entities separately: Li: Region score 90 (Finance Department is at the group level), role score 80 (finance specialist), business line score 70 (no dedicated business line), weighting coefficient (0.4 / 0.3 / 0.3), score is 90×0.4+80×0.3+70×0.3=81 points; Wang: Regional score 70 (city under the Ministry of Human Resources), Role score 70 (HR specialist), Business line score 80 (business line contact), weight coefficient (0.4 / 0.3 / 0.3), score is 70×0.4+70×0.3+80×0.3=73 points.

[0165] The system identified Li as a high-priority entity and pushed a task to be done to his PC backend and WeChat: "Please reconcile and confirm the batch incentive data of the Public Business Line in Location A on March 15, 2025".

[0166] After logging into the system and verifying that the batch of incentive lists was correct, Li clicked "Confirm Reconciliation." Upon receiving the confirmation instruction, the system automatically updated the reconciliation status of the batch of incentive data to "Completed" and stopped sending pending tasks to Wang. When Wang logged into the system, the batch of data was no longer displayed in his pending reconciliation list.

[0167] By integrating authority scoring, the determination of reconciliation authority is transformed from "subjective experience" to "objective algorithm." In traditional reconciliation processes, determining "who is more responsible" often relies on subjective assignment by managers or inter-departmental negotiations, resulting in vague standards and difficulty in gaining consensus. This implementation uses a weighted summation formula to precisely quantify three objective dimensions—geographical jurisdiction, job level authority, and business line affiliation—into a single numerical value. This makes the determination of reconciliation priorities transparent, explainable, and predictable, avoiding disputes over authority and responsibility caused by human factors. When a company finds that a certain type of reconciliation task has been backlogged or frequently transferred, it can increase the weight of that dimension or optimize the score mapping to give higher priority to the more suitable entity. This data-driven rule optimization capability evolves reconciliation management from a "static system" to a "dynamic strategy," continuously approaching the optimal efficiency state.

[0168] This disclosed embodiment upgrades instant incentives from fragmented offline operations to a systematic and automated digital governance solution by constructing a fully online closed-loop management system encompassing "rule configuration—incentive granting—intelligent auditing—reconciliation collaboration—payroll integration." It embeds dynamic compliance verification and risk scoring models in the distribution process, shifting risk control from post-event correction to pre-event prevention. Through the automated generation of visual vouchers and adaptive multi-platform push notifications, it achieves second-level delivery of incentive information and recognition of recognition. Relying on an intelligent auditing mechanism, it conducts full-volume, multi-dimensional rule-based review of incentive data and reconstructs the reconciliation process using a multi-dimensional permission priority algorithm. This allows a single confirmation from the highest-authority entity to cover multiple levels of repetitive operations, significantly reducing the reconciliation cycle and clarifying the boundaries of rights and responsibilities. Finally, through seamless integration of standardized accounting documents with the payroll system, it achieves automatic tax calculation, unified distribution, and separate listing of incentive amounts on payslips. Overall, it achieves a synergistic improvement in incentive management efficiency, fund compliance, resource allocation accuracy, and employee incentive experience, providing a complete technical solution with closed-loop control capabilities and intelligent decision-making features for enterprise instant incentive scenarios.

[0169] Example 2

[0170] This disclosure provides a digital closed-loop management method for enterprise instant incentives. This method constructs a complete closed-loop system encompassing "rule configuration - batch distribution - incentive viewing - intelligent auditing - payroll integration," achieving online, automated, and visualized incentive management. Figure 2 As shown, the specific steps include: Step S1: The incentive management terminal configures incentive rules according to business needs, and determines the incentive amount, incentive items, issuing entity, reconciliation entity and information push channel.

[0171] The configuration of incentive rules includes: dividing the management scope by geographical or business line dimensions, setting the incentive amount in the form of red envelopes, description of incentive items, issuer, reconciliation person, and push groups based on instant messaging tools.

[0172] Specifically, after logging into the system, the incentive administrator first selects the dimension for dividing the management scope based on the company's actual business needs. For example, the incentive management scope can be clearly defined by geographical dimension (such as specific cities or districts) or business line dimension (such as public professional line or government and enterprise professional line) to ensure that subsequent incentive operations are carried out within a clear management boundary.

[0173] After defining the management scope, administrators need to configure incentive limits in the form of red envelopes, including a total monthly limit and a single transaction limit. The total monthly limit is the total amount of incentives that can be distributed within a month for that scope, and the single transaction limit is the maximum amount of incentives that can be distributed to a single recipient in a single transaction, thereby achieving upfront control over incentive costs.

[0174] Subsequently, the administrator needs to clarify the incentive items and describe the specific business scenarios of the incentives, such as "quarterly performance target achievement reward" or "key project breakthrough incentive", to ensure that the incentive recipients clearly understand the reasons for receiving the incentives.

[0175] At the same time, designate the disbursement entity, namely the personnel responsible for initiating incentive disbursement, such as regional managers and department heads; and the reconciliation entity, namely the personnel responsible for subsequent incentive data verification, such as finance department specialists and human resources department specialists, to clarify the responsibilities of each role in the incentive process.

[0176] Finally, configure the information push channels by selecting the corresponding WeChat or DingTalk push groups from the system as the real-time delivery channels for incentive information.

[0177] Once all configuration items are completed, the system automatically saves the rules as a standardized template and stores them in the database. This provides basic parameters and execution basis for subsequent batch incentive distribution, ensuring the consistency and traceability of incentive rules.

[0178] In step S2, the issuing entity performs batch incentive distribution based on the incentive rules. After the system verifies the compliance of the recipients and the amount, it generates incentive vouchers and pushes them through preset channels, while sending reminder information to the incentive recipients.

[0179] Specifically, after logging into the system, the issuing entity uploads the list of personnel to be incentivized and the corresponding incentive amounts to the system based on the incentive rule template configured in step S1, and initiates a batch incentive distribution instruction for multiple individuals. Upon receiving the instruction, the system first triggers a compliance verification mechanism to automatically verify each target incentive recipient. Subsequent distribution operations are only performed on recipients who pass the verification, thereby ensuring that the incentive distribution complies with the preset rules and avoiding risks such as over-distribution or mis-distribution.

[0180] The preset verification rules mentioned above specifically include the following steps: Define the recipients of the incentives as The recipients of the incentives to be distributed are The incentive limit applies to the following individuals / entities: ; extract The cumulative amount of money distributed ; Extract the collection of objects to be distributed The Middle Amount to be disbursed to each individual ; extract Included monthly limit and single transaction limit .

[0181] calculate Risk score Preset risk threshold ; The verification function is: ; Specifically, if the function returns true, the verification is considered successful; otherwise, the issuance command for the object is intercepted, and an exception log is generated.

[0182] In one specific embodiment, to assess the risk level of the recipients, the system collects their historical incentive records for the past month and extracts five features: the amount disbursed, the frequency of disbursement, the time distribution, the geographical location, and the business line, as feature variables. ; The regression coefficients of each variable were calculated using regression analysis. ; And calculate the risk score using the formula: .

[0183] During the generation and delivery of incentive vouchers, the system generates visual vouchers containing recipient identification, amount, and reason based on the selected template and incentive parameters, and pushes them to preset instant messaging groups through an automated program.

[0184] The push logic of the automated program mentioned above includes: Generate standardized graphic and textual information, including incentive identifiers and links to visual credentials; Store the interface address and image / text information of the receiving group into the dataset; Iterate through the dataset and match the corresponding instant messaging tool based on the interface address type, then call the adapted interface to complete the push.

[0185] Specifically, based on the batch red envelope distribution instruction, the system retrieves the selected red envelope template from the database. This template covers multiple preset styles to suit different business scenarios and corporate styles. Simultaneously, the system reads the list of recipients, obtaining key information such as the recipient's name, the corresponding incentive amount, and the reason for the distribution. Building upon this, the system calls the Canva platform interface, combined with a selected background—also based on prior configuration and customizable according to the activity theme and corporate culture—to precisely embed the recipient's name, amount, and reason into the design framework, generating a visually appealing red envelope image.

[0186] While generating the red envelope image, the system simultaneously creates a standard format image and text message (MSG). This message is presented in a fixed format: "

Incentive Red Envelope

[0187] After constructing the text and image information, the system integrates the recipient's webhook address (which serves as a unique identifier for interaction with instant messaging tools and is pre-bound to the recipient's information in the system to distinguish between different platforms such as WeChat Work and DingTalk) with the generated MSG information and saves them uniformly to the dataset dataList. This dataset stores data in a structured format for easy subsequent retrieval and processing.

[0188] Next, the system begins the process of traversing the dataList dataset. During this traversal, for each data record, the system intelligently parses the recipient's webhook address type. If the address contains a specific field, such as "qyapi.weixin.qq.com", the system determines that the recipient's push platform is WeChat Work; if the address matches the characteristic identifier of the DingTalk platform, it is determined to be the DingTalk platform. Based on the recognition results, the system automatically calls the interface program adapted to different platforms. For the WeChat Work platform, the `DingTalkUtil.sendMsgNEWS` method is called; for the DingTalk platform, the `DingTalkUtil.sendMsgTextAndImg` method is called, enabling accurate and automatic push of the red packet image and text information on different instant messaging tools, ensuring that the incentive recipients receive the incentive notification as soon as possible. The specific red packet push code is as follows: for (int i = 0; i < dataList.size(); i ++) { tmpMap = dataList.get(i); String[] msgArr = tmpMap.get("MSG").split("≌"); / / Split the image and text information String str = ""; for (int j = 0; j < msgArr.length; j ++) {str += msgArr[j] + "\n\n";} String webhook = tmpMap.get("WEBHOOK")+""; / / Get robot information if(webhook.indexOf("qyapi.weixin.qq.com") >0) { / / Determine whether it's WeChat Work or DingTalk based on the WEBHOOK type DingTalkUtil.sendMsgNEWS(tmpMap.get("MSG_TITLE"),(String)tmpMap.get("MSG"), (String)tmpMap.get("WEBHOOK")); / / Push to WeChat Official Account }else { DingTalkUtil.sendMsgTextAndImg(tmpMap.get("MSG_TITLE"),str, (String)tmpMap.get("WEBHOOK")); / / Push DingTalk } } Step S3: The incentive recipients view the incentive vouchers through the information push channel and obtain incentive-related data through the user terminal.

[0189] Once the system pushes the incentive voucher via WeChat or DingTalk groups, the recipient will first receive and view a visual red packet image containing their name, incentive amount, and reason for issuance in real time through these channels, gaining a clear understanding of the core information of the incentive. Simultaneously, an automatically sent SMS notification will further inform the recipient to view the details, ensuring timely information delivery.

[0190] Furthermore, incentive recipients can log in to their personal accounts via the PC system or a dedicated app to access the incentive data zone and dynamically obtain more detailed incentive-related data. This data includes, but is not limited to, information on the incentive issuer, specific issuance time, single and cumulative incentive amounts, and detailed descriptions of the corresponding incentive reasons, achieving a multi-dimensional and fully transparent display of incentive data. With dual support from both PC and app platforms, incentive recipients can query historical incentive records and current incentive status anytime, anywhere, meeting information access needs in different scenarios and enhancing the openness and traceability of the incentive process.

[0191] In step S4, the system performs intelligent auditing and reconciliation of incentive data. After verification, a standardized accounting file is generated and synchronized to the payroll management system.

[0192] Intelligent auditing is the system's compliance verification step for issued incentive data. It ensures that incentive issuance complies with preset rules through multi-dimensional verification, specifically including the following two core components: Incentive recipient matching audit: Verify whether the actual recipient is consistent with the target group defined by the incentive, whether the business rules are met, and whether the distribution time is within the preset range; Incentive Amount Compliance Audit: Verify whether the incentive amount complies with the single transaction and total amount limits.

[0193] During the audit of incentive recipient matching, different scenarios for red envelope giveaways (total) Class, denoted as The system accurately matches and verifies the recipient and distribution time of red envelopes based on preset rules for each scenario. Specifically, this includes: Two core groups of people were identified: those who actually received the red envelopes. And the target group of recipients for the red envelopes in this scenario. ; For each object actually distributed in each type of scenario Verify whether it belongs to the target personnel set. ,Right now ; Comparison Objects The actual set of business rules satisfied The set of business rules required by the target recipient in this scenario ,make sure That is, the actual rules completely cover the target rules; Verification Target Red envelope sending time Is it within the time frame specified by the scene? Inside, among which For the start time, This is the end time.

[0194] Through the above triple verification, we ensure that the recipient's eligibility, business compliance, and distribution time of each red envelope meet the requirements of the scenario, and prevent problems such as non-target personnel receiving the red envelope, non-compliance with rules, or distribution exceeding the time limit.

[0195] The compliance audit of incentive amounts specifically includes: By region and professional line Group the incentives that have already been distributed; Verify the maximum single transaction amount within the group:

[0196] in, For region Professional line The set of incentive amounts for each group; This is the preset single transaction limit for this group; like If it is, it will be marked as "exceeding the single transaction limit" and the audit will fail.

[0197] Verify the total amount within the group:

[0198] in, This is the preset total limit for this group; like If it does, it will be marked as "abnormal exceeding the total amount" and the audit will not be approved.

[0199] After the intelligent audit is completed, the system initiates an automated reconciliation process based on the priority of permissions according to three dimensions: region, role, and professional line. The specific steps are as follows: The system marks the geographic dimension as Character dimension marked as Professional line dimension marked as And configure corresponding weight coefficients for each dimension. (Regional weight) (Role weight) (Professional line weighting).

[0200] Each entity participating in the reconciliation, such as the payer, HR specialist, or finance specialist, is recorded as a reconciliation user. The system calculates its scores in three dimensions. (Regional score) (Character score) (Professional score), and calculate the comprehensive score using the formula:

[0201] Assume there are three reconciliation users. The system determines the score based on the overall score. Determine priorities and perform reconciliation: If any user's overall score If a user scores 100 points (full marks), the system will automatically mark the reconciliation as complete, and other users will not need to participate in the reconciliation. If none of the three users have a score of 100, then they will be sorted by their scores from highest to lowest: If the highest priority Complete the reconciliation. and No need to repeat the operation; If the priority is medium Complete reconciliation, lower priority No need to repeat the operation.

[0202] By using a weighted calculation based on three dimensions—region, role, and professional line—the system quantifies the priority of reconciliation entities' permissions, avoiding the subjectivity of human judgment and ensuring the rationality of reconciliation responsibility allocation. Once a high-priority entity completes reconciliation, lower-priority entities do not need to repeat the process, reducing redundant work and significantly shortening the reconciliation cycle. This is particularly suitable for complex reconciliation scenarios involving multiple levels and departments.

[0203] Once the intelligent audit and reconciliation are both passed, the system automatically generates a standardized red envelope receipt file. The file contains structured information such as the name of the incentive recipient, ID number, incentive amount, issuance time, and corresponding scenario. It is then automatically synchronized to the enterprise's payroll management system via an interface.

[0204] In step S5, the workflow for incorporating incentive amounts into performance-based compensation is as follows: After the intelligent audit and reconciliation are completed, the standardized bonus payment file generated by the system is automatically synchronized to the payroll management system. The file contains structured data such as the incentive recipient's name, ID number, incentive amount, and reason for payment. Upon receiving the file, the payroll system will automatically associate the incentive amount with the corresponding incentive recipient's monthly performance-based pay system, and calculate it together with regular performance-based pay, bonuses, and other compensation items.

[0205] During the monthly payroll calculation cycle, the payroll system calculates the total amount according to the established payroll disbursement process, with the incentive bonus amount listed separately as a component of performance-based compensation. When the salary is disbursed, the incentive amount is transferred to the incentive recipient's bank account along with the monthly salary. Simultaneously, the electronic payslip generated by the system will clearly indicate the "Instant Incentive Bonus" item and its corresponding amount. Incentive recipients can view the payslip details through WeChat Work, DingTalk, or the payroll system's PC or mobile app to clearly understand the distribution of their incentive amount.

[0206] This process achieves a seamless connection between incentive amounts and regular compensation, ensuring both the timeliness and compliance of incentives, and allowing incentive recipients to intuitively understand the results of incentives through transparent payslip displays, thereby enhancing the incentive effect.

[0207] This embodiment achieves significant technical results by constructing an online, real-time incentive-based, closed-loop management system: 1. By using a real-time dynamic verification mechanism for red envelope amounts, combined with a user risk scoring model, we can prevent issues such as exceeding the limit and high-risk transactions from the source, upgrading incentive control from "post-event correction" to "pre-event prevention" and accurately ensuring the compliance of incentive distribution; 2. Leveraging the automated push function of robots, incentive vouchers are delivered within seconds. Combined with SMS reminders and dual-end data visualization, incentive recipients are ensured to know and view details in a timely manner, greatly improving the immediacy and transparency of incentives. 3. Intelligent auditing and multi-dimensional permission priority reconciliation function: Through full data penetration verification and automated reconciliation, and through data traceability, it effectively avoids risks such as mis-issuance and data tampering. 4. Seamless integration of incentive amounts with the payroll system enables simultaneous distribution of incentives and salaries, as well as separate listing of payslips. This simplifies the payroll calculation process, enhances the incentive effect, and comprehensively improves the efficiency and accuracy of the company's real-time incentive management.

[0208] Example 3

[0209] Embodiment 3 of this disclosure provides a digital closed-loop management system for enterprise real-time incentives, such as... Figure 3 As shown, the system includes: Configuration module 11 is configured to receive incentive rule configuration instructions and determine the incentive amount, incentive items, issuing entity identifier, reconciliation entity identifier and information push channel according to the incentive rule configuration instructions; The verification and push module 12 is configured to respond to the issuance instruction, perform batch incentive issuance operation based on the incentive rules, and perform compliance verification on each issuance recipient and corresponding amount before incentive issuance; for issuance recipients that pass the compliance verification, generate corresponding incentive vouchers, push the incentive vouchers through the information push channel, and send reminder information to the corresponding incentive recipients at the same time. The query module 13 is configured to provide the incentive recipient with an access interface for viewing the incentive certificate, and to provide incentive-related data in response to a query request; The audit and reconciliation module 14 is configured to perform intelligent audit and automated reconciliation processes on the issued incentive data; after the intelligent audit and reconciliation are passed, a standardized incentive entry file is generated and the incentive entry file is sent to the payroll management system; wherein, the incentive entry file is used to enable the payroll management system to include the incentive amount in the corresponding incentive recipient's monthly performance pay.

[0210] Furthermore, the incentive rule configuration instructions include instructions for dividing the management scope by geographical dimension or business line dimension, and within the management scope, setting the incentive amount in the form of electronic red envelopes, the description of the incentive item, the issuer identifier, the reconciliation identifier, and specifying a specific group based on instant messaging tools as the information push channel.

[0211] Furthermore, the verification and push module 12 is specifically configured as follows: Each target incentive object is automatically verified based on preset verification rules, and the target incentive object that meets all the conditions of the preset verification rules is determined to have passed the compliance verification. The preset verification rule conditions include: The cumulative incentive amount received by the recipient during this management period has not exceeded the maximum total amount for this management period. The amount of the single incentive to be issued to them this time does not exceed the upper limit of the single amount; The sum of the cumulative incentive amount received by the recipient during this management period and the amount to be distributed this time does not exceed the upper limit of the total quota for this management period; The incentive risk score of the recipient did not exceed the preset risk threshold.

[0212] Furthermore, the incentive risk score is obtained in the following way: Collect incentive record data of the recipients within a preset historical period; Multiple feature variables are extracted from the incentive record data, including at least one of the following: amount disbursed, frequency of disbursement, time distribution, geographical region, and business line. Obtain the regression coefficients corresponding to each feature variable, which are predetermined through regression analysis; The incentive risk score is obtained by multiplying the value of each feature variable by its corresponding regression coefficient and summing all such products.

[0213] Furthermore, the verification and push module 12 is specifically configured as follows: Based on the selected template and the parameters of this incentive, a visual incentive voucher containing the recipient's identifier, incentive amount, and reason for issuance is automatically generated. Generate standardized push notifications containing the links to the visualized incentive credentials; Based on the interface address pre-configured for the information push channel, the instant messaging tool interface matching the interface address type is invoked to automatically send the standardized push information to the corresponding group.

[0214] Furthermore, the intelligent audit includes: Incentive recipient matching audit: Verify whether the actual recipient of the incentive belongs to the target group defined by the incentive, whether they meet the relevant business rules, and whether the issuance time is within the preset validity period; Incentive Amount Compliance Audit: Verify whether the incentive amount complies with the limit requirements for a single amount and the total amount limit requirements for a specific group.

[0215] Furthermore, the compliance audit of the incentive amount specifically includes: The issued incentive data is grouped according to two dimensions: region and business line. For each group, perform the following validation: Verify whether the maximum value among all single incentive amounts within the group is not greater than the preset single amount limit for the group; Verify whether the sum of all incentive amounts within the group does not exceed the preset upper limit of the total amount for the group.

[0216] Furthermore, the automated reconciliation process is a reconciliation method based on multi-dimensional permission priorities, including: For each entity participating in the reconciliation, a comprehensive permission score is calculated based on at least two preset dimensions, including geographical dimension, role dimension, and business line dimension. The priority order of reconciliation operations is determined based on the comprehensive authority scores of each entity. Once the entity with the highest priority completes the reconciliation confirmation, the reconciliation process for the relevant incentive data is automatically completed, and entities with lower priority do not need to perform the reconciliation operation again.

[0217] Furthermore, the comprehensive authority score is calculated using the following formula: T = Pa We + Pb Wg + Pc Wf Where T represents the overall authority score, Pa, Pb, and Pc represent the individual scores of the entity in the dimensions of region, role, and business line, respectively, and We, Wg, and Wf are the preset weight coefficients for the corresponding dimensions.

[0218] The digital closed-loop management system for enterprise instant incentives in this disclosure is used to implement the digital closed-loop management method for enterprise instant incentives in method embodiments one and two, so the description is relatively simple. For details, please refer to the relevant descriptions in the previous method embodiments, which will not be repeated here.

[0219] Figure 4 This is a block diagram of an electronic device provided in Embodiment 4 of this disclosure.

[0220] Reference Figure 4 This disclosure provides an electronic device comprising: at least one processor 701; at least one memory 702; and one or more I / O interfaces 703 connected between the processor 701 and the memory 702; wherein the memory 702 stores one or more computer programs executable by the at least one processor 701, the one or more computer programs being executed by the at least one processor 701 to enable the at least one processor 701 to execute the aforementioned digital closed-loop management method for enterprise instant incentives.

[0221] This disclosure also provides a computer-readable storage medium storing a computer program thereon, wherein the computer program, when executed by a processor, implements the aforementioned digital closed-loop management method for real-time enterprise incentives. The computer-readable storage medium may be volatile or non-volatile.

[0222] This disclosure also provides a computer program product, including computer-readable code, or a non-volatile computer-readable storage medium carrying computer-readable code. When the computer-readable code is run in a processor of an electronic device, the processor in the electronic device executes the aforementioned digital closed-loop management method for enterprise instant incentives.

[0223] Those skilled in the art will understand that all or some of the steps, systems, and apparatuses disclosed above, and their functional modules / units, can be implemented as software, firmware, hardware, or suitable combinations thereof. In hardware implementations, the division between functional modules / units mentioned above does not necessarily correspond to the division of physical components; for example, a physical component may have multiple functions, or a function or step may be performed collaboratively by several physical components. Some or all physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application-specific integrated circuit (ASIC). Such software can be distributed on a computer-readable storage medium, which may include computer storage media (or non-transitory media) and communication media (or transient media).

[0224] As is known to those skilled in the art, the term computer storage medium includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information, such as computer-readable program instructions, data structures, program modules, or other data. Computer storage media includes, but is not limited to, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), static random access memory (SRAM), flash memory or other memory technologies, portable compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical disc storage, magnetic cartridges, magnetic tape, disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and is accessible to a computer. Furthermore, it is known to those skilled in the art that communication media typically contain computer-readable program instructions, data structures, program modules, or other data in modulated data signals such as carrier waves or other transmission mechanisms, and may include any information delivery medium.

[0225] The computer-readable program instructions described herein can be downloaded from computer-readable storage media to various computing / processing devices, or downloaded via a network, such as the Internet, local area network, wide area network, and / or wireless network, to an external computer or external storage device. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers, and / or edge servers. A network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards them to the computer-readable storage media in the respective computing / processing device.

[0226] Computer program instructions used to perform the operations of this disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, status setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Smalltalk, C++, etc., and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or may be connected to an external computer (e.g., via the Internet using an Internet service provider). In some embodiments, electronic circuitry, such as programmable logic circuitry, field-programmable gate arrays (FPGAs), or programmable logic arrays (PLAs), is personalized by utilizing the status information of the computer-readable program instructions to implement various aspects of this disclosure.

[0227] The computer program product described herein can be implemented specifically through hardware, software, or a combination thereof. In one alternative embodiment, the computer program product is specifically embodied in a computer storage medium; in another alternative embodiment, the computer program product is specifically embodied in a software product, such as a software development kit (SDK), etc.

[0228] Various aspects of this disclosure are described herein with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this disclosure. It should be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer-readable program instructions.

[0229] These computer-readable program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus to produce a machine such that, when executed by the processor of the computer or other programmable data processing apparatus, they create means for implementing the functions / actions specified in one or more blocks of the flowchart and / or block diagram. These computer-readable program instructions can also be stored in a computer-readable storage medium that causes a computer, programmable data processing apparatus, and / or other device to operate in a particular manner; thus, the computer-readable medium storing the instructions comprises an article of manufacture that includes instructions for implementing aspects of the functions / actions specified in one or more blocks of the flowchart and / or block diagram.

[0230] Computer-readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device to cause a series of operational steps to be performed on the computer, other programmable data processing apparatus, or other device to produce a computer-implemented process, thereby causing the instructions executed on the computer, other programmable data processing apparatus, or other device to perform the functions / actions specified in one or more boxes of a flowchart and / or block diagram.

[0231] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of an instruction containing one or more executable instructions for implementing a specified logical function. In some alternative implementations, the functions marked in the blocks may occur in a different order than those shown in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, may be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

[0232] Example embodiments have been disclosed herein, and while specific terminology has been used, it is for illustrative purposes only and should be construed as such, and is not intended to be limiting. In some instances, it will be apparent to those skilled in the art that features, characteristics, and / or elements described in connection with particular embodiments may be used alone, or in combination with features, characteristics, and / or elements described in connection with other embodiments, unless otherwise expressly indicated. Therefore, those skilled in the art will understand that various changes in form and detail may be made without departing from the scope of this disclosure as set forth by the appended claims.

Claims

1. A digital closed-loop management method for enterprise instant incentives, characterized in that, The method includes: Receive incentive rule configuration instructions, and determine the incentive amount, incentive items, issuing entity identifier, reconciliation entity identifier, and information push channel according to the incentive rule configuration instructions; In response to the issuance instruction, a batch incentive issuance operation is performed based on the incentive rules; and before the incentive issuance, a compliance verification is performed on each issuance recipient and the corresponding amount; for issuance recipients that pass the compliance verification, a corresponding incentive voucher is generated and the incentive voucher is pushed through the information push channel, while a reminder message is sent to the corresponding incentive recipient; Provide the incentive recipient with an access interface to view the incentive credentials, and provide incentive-related data in response to query requests; The system performs intelligent auditing and automated reconciliation processes on the issued incentive data. After the intelligent auditing and reconciliation are completed, a standardized incentive entry file is generated and sent to the payroll management system. The incentive entry file is used to enable the payroll management system to include the incentive amount in the corresponding incentive recipient's monthly performance pay.

2. The method according to claim 1, characterized in that, The incentive rule configuration instructions include instructions for dividing the management scope by geographical dimension or business line dimension, and within the management scope, setting the incentive amount in the form of electronic red envelopes, the description of the incentive item, the issuer identifier, the reconciliation identifier, and specifying a specific group based on instant messaging tools as the information push channel.

3. The method according to claim 1, characterized in that, The compliance verification of each recipient and corresponding amount includes: Each target incentive object is automatically verified based on preset verification rules, and the target incentive object that meets all the conditions of the preset verification rules is determined to have passed the compliance verification. The preset verification rule conditions include: The cumulative incentive amount received by the recipient during this management period has not exceeded the maximum total amount for this management period. The amount of the single incentive to be issued to them this time does not exceed the upper limit of the single amount; The sum of the cumulative incentive amount received by the recipient during this management period and the amount to be distributed this time does not exceed the upper limit of the total quota for this management period; The incentive risk score of the recipient did not exceed the preset risk threshold.

4. The method according to claim 3, characterized in that, The incentive risk score is obtained through the following methods: Collect incentive record data of the recipients within a preset historical period; Multiple feature variables are extracted from the incentive record data, including at least one of the following: amount disbursed, frequency of disbursement, time distribution, geographical region, and business line. Obtain the regression coefficients corresponding to each feature variable, which are predetermined through regression analysis; The incentive risk score is obtained by multiplying the value of each feature variable by its corresponding regression coefficient and summing all such products.

5. The method according to claim 1, characterized in that, The step of generating the corresponding incentive voucher and pushing the incentive voucher through the information push channel includes: Based on the selected template and the parameters of this incentive, a visual incentive voucher containing the recipient's identifier, incentive amount, and reason for issuance is automatically generated. Generate standardized push notifications containing the links to the visualized incentive credentials; Based on the interface address pre-configured for the information push channel, the instant messaging tool interface matching the interface address type is invoked to automatically send the standardized push information to the corresponding group.

6. The method according to claim 1, characterized in that, The intelligent audit includes: Incentive recipient matching audit: Verify whether the actual recipient of the incentive belongs to the target group defined by the incentive, whether they meet the relevant business rules, and whether the issuance time is within the preset validity period; Incentive Amount Compliance Audit: Verify whether the incentive amount complies with the limit requirements for a single amount and the total amount limit requirements for a specific group.

7. The method according to claim 6, characterized in that, The compliance audit of the incentive amount specifically includes: The issued incentive data is grouped according to two dimensions: region and business line. For each group, perform the following validation: Verify whether the maximum value among all single incentive amounts within the group is not greater than the preset single amount limit for the group; Verify whether the sum of all incentive amounts within the group does not exceed the preset upper limit of the total amount for the group.

8. The method according to claim 1, characterized in that, The automated reconciliation process is a reconciliation method based on multi-dimensional permission priorities, including: For each entity participating in the reconciliation, a comprehensive permission score is calculated based on at least two preset dimensions, including geographical dimension, role dimension, and business line dimension. The priority order of reconciliation operations is determined based on the comprehensive authority scores of each entity. Once the entity with the highest priority completes the reconciliation confirmation, the reconciliation process for the relevant incentive data is automatically completed, and entities with lower priority do not need to perform the reconciliation operation again.

9. The method according to claim 8, characterized in that, The overall authority score is calculated using the following formula: T = Pa We + Pb Wg + Pc Wf Where T represents the overall authority score, Pa, Pb, and Pc represent the individual scores of the entity in the dimensions of region, role, and business line, respectively, and We, Wg, and Wf are the preset weight coefficients for the corresponding dimensions.

10. A digital closed-loop management system for enterprise real-time incentives, characterized in that, The system includes: The configuration module is configured to receive incentive rule configuration instructions and determine the incentive amount, incentive items, issuing entity identifier, reconciliation entity identifier, and information push channel according to the incentive rule configuration instructions. The verification and push module is configured to respond to the issuance instruction, perform batch incentive issuance operations based on the incentive rules, and perform compliance verification on each issuance recipient and the corresponding amount before incentive issuance; for issuance recipients that pass the compliance verification, generate corresponding incentive vouchers, push the incentive vouchers through the information push channel, and send reminder information to the corresponding incentive recipients at the same time; The query module is configured to provide the incentive recipient with an access interface for viewing the incentive credentials, and to provide incentive-related data in response to query requests; The audit and reconciliation module is configured to perform intelligent audit and automated reconciliation processes on the issued incentive data. After the intelligent audit and reconciliation are completed, a standardized incentive entry file is generated and sent to the payroll management system. The incentive entry file is used by the payroll management system to include the incentive amount in the corresponding incentive recipient's monthly performance pay.

11. An electronic device, characterized in that, include: At least one processor; as well as A memory communicatively connected to the at least one processor; wherein, The memory stores one or more computer programs that can be executed by the at least one processor, the one or more computer programs being executed by the at least one processor to enable the at least one processor to perform the digital closed-loop management method for enterprise instant incentives as described in any one of claims 1-9.

12. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the digital closed-loop management method for enterprise real-time incentives as described in any one of claims 1-9.

13. A computer program product, characterized in that, Includes computer-readable code, or a non-volatile computer-readable storage medium carrying computer-readable code, wherein when the computer-readable code is run in a processor of an electronic device, the processor in the electronic device executes the digital closed-loop management method for enterprise instant incentives as described in any one of claims 1-9.

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