Requirement management method and device based on point reward, computer equipment, storage medium and program product

By introducing a point reward-based method in the demand management system, the limitations of the existing system in multi-role collaboration and automated process control are solved, and more efficient demand processing and overall enterprise efficiency are achieved.

CN119761720APending Publication Date: 2025-04-04CHINA RAILWAY HI TECH IND CORP LTD
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Patent Information

Application Number
CN202411823927.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-12
Publication Date
2025-04-04

AI Technical Summary

Technical Problem

The existing requirements management system has limitations in multi-role collaboration, cross-department processing, and automated process control, and it is difficult to meet the complex business process requirements of large enterprises.

Method used

The demand management method based on points rewards is adopted, and the automated, flexible and transparent point reward mechanism is realized by obtaining demand information, analyzing task creation information, configuring task incentive points and urging task associates.

Benefits of technology

It improves the efficiency of demand processing, encourages task-related persons to actively participate in the demand management process, and improves the overall efficiency of enterprise demand management.

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Abstract

The invention relates to the technical field of process information management, in particular to a demand management method and device based on point rewards, computer equipment, a storage medium and a computer program product. The method comprises the following steps: in response to acquisition of demand information, analyzing the demand information to obtain task creation information corresponding to the demand information; determining task attribute information of a to-be-processed task based on the task creation information, wherein the task attribute information comprises a task type, task associated person information and task historical timeliness information; configuring a task incentive integral for the to-be-processed task based on a preset integral configuration rule and the task attribute information; and in response to completion of the to-be-processed task, performing integral incentive on a task associated person associated with the to-be-processed task based on the task incentive integral. By adopting the method, the enterprise internal demand management system can be optimized, and the demand processing efficiency is improved.
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Description

Technical Field

[0001] The present application relates to the technical field of process information management, and in particular to a demand management method, apparatus, computer equipment, storage medium and computer program product based on point rewards. Background Art

[0002] Enterprise informatization construction refers to a comprehensive activity that improves the management level, operational efficiency and competitiveness of enterprises through modern information technology. It involves a series of links from strategic planning to system implementation, operation and maintenance and optimization. Enterprise informatization construction is a continuous process that aims to improve the overall operational capabilities and response speed of enterprises through technical means. In the process of implementing informatization construction, enterprises need to flexibly adjust strategies based on their own characteristics to achieve the best results. With the continuous deepening of enterprise informatization construction, demand management, as an important part of internal demand processing and project planning, has gradually become a key link in the management process. Enterprise demand management refers to a series of activities for enterprises to identify, analyze and meet customer needs throughout the entire business process. Its purpose is to ensure that enterprises can effectively meet market demand, improve customer satisfaction, and ultimately achieve the strategic goals of the enterprise.

[0003] In related technologies, traditional demand management mainly includes demand identification, demand analysis, demand forecasting, demand planning, demand satisfaction, and feedback and improvement. The process usually relies on manual operations and lacks a unified management tool, which easily leads to delays and errors in the process of demand submission, approval, and allocation.

[0004] However, the current demand management methods have the following technical problems:

[0005] Most of the demand management systems on the market are standardized tools. Although they have basic demand collection, approval, task allocation and process tracking functions, they have limitations in multi-role collaboration, cross-department processing and automated process control. Especially for large enterprises, existing tools are difficult to meet their complex business process requirements and cannot flexibly respond to internal enterprise needs. Summary of the invention

[0006] Based on this, it is necessary to provide a demand management method, device, computer equipment, computer-readable storage medium and computer program product based on point rewards, which can optimize the internal demand management system of the enterprise and improve the demand processing efficiency in response to the above technical problems.

[0007] In a first aspect, the present application provides a demand management method based on point rewards. The method comprises:

[0008] In response to the acquisition of the demand information, the demand information is parsed to obtain task creation information corresponding to the demand information;

[0009] Determine task attribute information of the task to be processed based on the task creation information, wherein the task attribute information includes task type, task associated person information, and task historical timeliness information;

[0010] Based on the preset points configuration rules and the task attribute information, configure task incentive points for the task to be processed;

[0011] In response to the completion of the pending task, a points incentive is provided to a task associate associated with the pending task based on the task incentive points.

[0012] In one embodiment, configuring task incentive points for the pending task based on the preset point configuration rules and the task attribute information includes:

[0013] Determining a number of task nodes included in the task to be processed based on the task attribute information;

[0014] The task incentive points are allocated to the task nodes.

[0015] In one embodiment, in response to the completion of the pending task, providing a points incentive to a task associate associated with the pending task based on the task incentive points includes:

[0016] In response to the completion of the task node of the pending task, task points incentives are provided in stages to the task associates associated with the task node.

[0017] In one embodiment, configuring task incentive points for the pending task based on the preset point configuration rules and the task attribute information includes:

[0018] Determine the difficulty level and time urgency level of the task to be processed based on preset task classification rules;

[0019] Based on the difficulty level and the time urgency level of the task to be processed, the initial task incentive points of the task to be processed are adjusted.

[0020] In one embodiment, in response to the completion of the pending task, providing a points incentive to a task associate associated with the pending task based on the task incentive points includes:

[0021] In response to the task-associated person obtaining the task incentive points, updating the points data of the task-associated person;

[0022] The plurality of task-associated persons are ranked by points based on the point data.

[0023] In one embodiment, in response to the completion of the pending task, providing a points incentive to a task associate associated with the pending task based on the task incentive points includes:

[0024] In response to a reward event or consumption event triggered by the task-associated person, the points data of the task-associated person is increased or deducted. The reward event includes completing the pending task in advance, and the consumption event includes consuming the task incentive points for redemption.

[0025] In a second aspect, the present application also provides a demand management device based on point rewards. The device comprises:

[0026] A demand information module, for parsing the demand information in response to the acquisition of the demand information, and obtaining task creation information corresponding to the demand information;

[0027] A task attribute module, used to determine task attribute information of the task to be processed based on the task creation information, wherein the task attribute information includes task type, task associated person information, and task historical timeliness information;

[0028] A points configuration module, used to configure task incentive points for the task to be processed based on preset points configuration rules and the task attribute information;

[0029] The point incentive module is used to provide point incentives to task associates associated with the task to be processed based on the task incentive points in response to the completion of the task to be processed.

[0030] In one embodiment, the integration configuration module includes:

[0031] A task node module, used to determine a number of task nodes included in the task to be processed based on the task attribute information;

[0032] A node distribution module is used to distribute the task incentive points to the task nodes.

[0033] In one embodiment, the integral incentive module includes:

[0034] The node incentive module is used to provide phased task point incentives to task associates associated with the task node in response to the completion of the task node of the task to be processed.

[0035] In one embodiment, the integration configuration module includes:

[0036] A task classification module, used to determine the difficulty level and time urgency level of the task to be processed based on preset task classification rules;

[0037] An initial value adjustment module is used to adjust the initial task incentive points of the task to be processed based on the difficulty level and the time urgency level of the task to be processed.

[0038] In one embodiment, the integral incentive module includes:

[0039] A points data module, configured to update the points data of the task associated person in response to the task associated person obtaining the task incentive points;

[0040] The points ranking module is used to rank the points of several task-associated persons based on the points data.

[0041] In one embodiment, the integral incentive module includes:

[0042] The points management module is used to increase or deduct the points data of the task-associated person in response to a reward event or consumption event triggered by the task-associated person. The reward event includes completing the pending task in advance, and the consumption event includes consuming the task incentive points for redemption.

[0043] In a third aspect, the present application further provides a computer device. The computer device includes a memory and a processor, the memory stores a computer program, and the processor implements the steps in a demand management method based on point rewards as described in any embodiment of the first aspect when executing the computer program.

[0044] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps in the demand management method based on point rewards as described in any one of the embodiments in the first aspect are implemented.

[0045] In a fifth aspect, the present application further provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the steps of the demand management method based on point rewards as described in any one of the embodiments in the first aspect are implemented.

[0046] The above-mentioned demand management method, device, computer equipment, storage medium and computer program product based on point rewards can achieve the beneficial effects of the technical problems in the corresponding background technology by deducing the technical features in the claims:

[0047] The present application provides a demand management method based on point rewards, including: in response to the acquisition of demand information, parsing the demand information to obtain task creation information corresponding to the demand information; determining the task attribute information of the pending task based on the task creation information, the task attribute information including the task type, task associated person information, and task historical timeliness information; configuring task incentive points for the pending task based on the preset point configuration rules and the task attribute information; in response to the completion of the pending task, providing point incentives to the task associated person associated with the pending task based on the task incentive points. In implementation, the task associated person is encouraged to actively participate in the demand processing process through automatic points. When the system collects the pending demand information, it can generate the pending task for the demand information, and then configure the task incentive points for the pending task according to the task attribute information of the pending task. Then, it can settle the task incentive points in response to the processing of the pending task, thereby realizing the incentives for the task associated person. In the process, through a flexible rule engine, the point issuance mechanism is deeply combined with the demand processing process, realizing the automation, flexibility and transparency of point rewards. Whether it is demand submission, approval, or task execution, employees can obtain timely point feedback through the system and obtain corresponding rewards by accumulating points, thereby improving the overall efficiency of enterprise demand management. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0049] Figure 1 An application environment diagram of a demand management method based on point rewards in an embodiment;

[0050] Figure 2 A first flow chart of a demand management method based on point rewards in one embodiment;

[0051] Figure 3 A second flow chart of a demand management method based on point rewards in another embodiment;

[0052] Figure 4 A third flow chart of a demand management method based on point rewards in another embodiment;

[0053] Figure 5 A fourth flow chart of a demand management method based on point rewards in another embodiment;

[0054] Figure 6 A fifth flow chart of a demand management method based on point rewards in another embodiment;

[0055] Figure 7 A sixth flow chart of a demand management method based on point rewards in another embodiment;

[0056] Figure 8 It is a structural block diagram of a demand management device based on point reward in one embodiment;

[0057] Fig. 9 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0058] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0059] In related technologies, traditional demand management mainly includes demand identification, demand analysis, demand forecasting, demand planning, demand satisfaction, and feedback and improvement. The process usually relies on manual operations and lacks a unified management tool, which easily leads to delays and errors in the process of demand submission, approval, and allocation.

[0060] However, the current demand management methods have the following technical problems:

[0061] Most of the demand management systems on the market are standardized tools. Although they have basic demand collection, approval, task allocation and process tracking functions, they have limitations in multi-role collaboration, cross-department processing and automated process control. Especially for large enterprises, existing tools are difficult to meet their complex business process requirements and cannot flexibly respond to internal enterprise needs.

[0062] Based on this, a demand management method based on point rewards provided in the embodiment of the present application can be applied to Figure 1In the application environment shown. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be integrated on the server 104, or it can be placed on the cloud or other network servers. Among them, the terminal 102 can be, but is not limited to, various personal computers, laptops, smart phones, tablets, Internet of Things devices and portable wearable devices. The Internet of Things devices can be smart speakers, smart TVs, smart air conditioners, smart car devices, projection devices, etc. Portable wearable devices can be smart watches, smart bracelets, head-mounted devices, etc. The head-mounted device can be a virtual reality (VR) device, an augmented reality (AR) device, smart glasses, etc. The server 104 can be an independent physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides cloud computing services.

[0063] In one embodiment, Figure 2 As shown in FIG. 1 , a demand management method based on point rewards is provided, and the method is applied to Figure 1 The terminal in is used as an example to illustrate, including the following steps:

[0064] Step 202: In response to the acquisition of the demand information, the demand information is parsed to obtain task creation information corresponding to the demand information.

[0065] Step 204: determining task attribute information of the task to be processed based on the task creation information, wherein the task attribute information includes task type, task associated person information, and task historical timeliness information;

[0066] Step 206: configuring task incentive points for the task to be processed based on the preset point configuration rules and the task attribute information;

[0067] Step 208: In response to the completion of the pending task, a task-associated person associated with the pending task is provided with a points incentive based on the task incentive points.

[0068] In the above-mentioned demand management method based on point rewards, reasonable deduction is performed in combination with the technical features in the embodiment to achieve the beneficial effect of solving the technical problems raised in the background technology:

[0069] The present application provides a demand management method based on point rewards, including: in response to the acquisition of demand information, parsing the demand information to obtain task creation information corresponding to the demand information; determining the task attribute information of the pending task based on the task creation information, the task attribute information including the task type, task associated person information, and task historical timeliness information; configuring task incentive points for the pending task based on the preset point configuration rules and the task attribute information; in response to the completion of the pending task, providing point incentives to the task associated person associated with the pending task based on the task incentive points. In implementation, the task associated person is encouraged to actively participate in the demand processing process through automatic points. When the system collects the pending demand information, it can generate the pending task for the demand information, and then configure the task incentive points for the pending task according to the task attribute information of the pending task. Then, it can settle the task incentive points in response to the processing of the pending task, thereby realizing the incentives for the task associated person. In the process, through a flexible rule engine, the point issuance mechanism is deeply combined with the demand processing process, realizing the automation, flexibility and transparency of point rewards. Whether it is demand submission, approval, or task execution, employees can obtain timely point feedback through the system and obtain corresponding rewards by accumulating points, thereby improving the overall efficiency of enterprise demand management.

[0070] In one embodiment, if Figure 3 As shown, step 206 includes:

[0071] Step 302: determining a number of task nodes included in the task to be processed based on the task attribute information;

[0072] Step 304: Allocate the task incentive points to the task nodes.

[0073] In this embodiment, by dividing the tasks to be processed into multiple task nodes, it is helpful to distribute the task incentive points in multiple stages, which helps to improve the processing efficiency of the tasks to be processed.

[0074] In one embodiment, if Figure 4 As shown, step 208 includes:

[0075] Step 402: In response to the completion of the task node of the pending task, a phased task point incentive is provided to the task associates associated with the task node.

[0076] In this embodiment, by dividing each task node and carrying out phased point incentives, it helps to improve the processing efficiency of the task.

[0077] In one embodiment, if Figure 5As shown, step 206 includes:

[0078] Step 502: Determine the difficulty level and time urgency level of the task to be processed based on a preset task classification rule.

[0079] Step 504: Based on the difficulty level and the time urgency level of the task to be processed, adjust the initial task incentive points of the task to be processed.

[0080] In this embodiment, the initial points of the pending tasks are adjusted according to the difficulty level and time urgency level of the tasks, which helps to provide additional incentives for high-demand tasks, thereby improving the incentive effect of the points.

[0081] In one embodiment, if Figure 6 As shown, step 208 includes:

[0082] Step 602: in response to the task-associated person obtaining the task incentive points, updating the points data of the task-associated person;

[0083] Step 604: sorting the points of the plurality of task-associated persons based on the point data.

[0084] In this embodiment, through the points ranking, the task-associated person can view his / her accumulated points in the demand management process through the points display module.

[0085] In one embodiment, if Figure 7 As shown, step 208 includes:

[0086] Step 702: In response to a reward event or consumption event triggered by the task-associated person, the points data of the task-associated person is increased or deducted. The reward event includes completing the pending task in advance, and the consumption event includes consuming the task incentive points for redemption.

[0087] In this embodiment, the points of the task-associated person can be increased through reward events such as exceeding the task quota, or can be deducted through consumption events such as redeeming prizes, which helps to improve the flexibility of point use.

[0088] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0089] Based on the same inventive concept, the embodiment of the present application also provides a demand management device based on point rewards for implementing the above-mentioned demand management method based on point rewards. The implementation solution provided by the device to solve the problem is similar to the implementation solution recorded in the above-mentioned method, so the specific limitations in one or more embodiments of the demand management device based on point rewards provided below can refer to the above-mentioned limitations on the demand management method based on point rewards, and will not be repeated here.

[0090] In one embodiment, Figure 8 As shown, a demand management device based on point rewards is provided, including: a demand information module, a task attribute module, a point configuration module and a point incentive module, wherein:

[0091] A demand information module, for parsing the demand information in response to the acquisition of the demand information, and obtaining task creation information corresponding to the demand information;

[0092] A task attribute module, used to determine task attribute information of the task to be processed based on the task creation information, wherein the task attribute information includes task type, task associated person information, and task historical timeliness information;

[0093] A points configuration module, used to configure task incentive points for the task to be processed based on preset points configuration rules and the task attribute information;

[0094] The point incentive module is used to provide point incentives to task associates associated with the task to be processed based on the task incentive points in response to the completion of the task to be processed.

[0095] In one embodiment, the integration configuration module includes:

[0096] A task node module, used to determine a number of task nodes included in the task to be processed based on the task attribute information;

[0097] A node distribution module is used to distribute the task incentive points to the task nodes.

[0098] In one embodiment, the integral incentive module includes:

[0099] The node incentive module is used to provide phased task point incentives to task associates associated with the task node in response to the completion of the task node of the task to be processed.

[0100] In one embodiment, the integration configuration module includes:

[0101] A task classification module, used to determine the difficulty level and time urgency level of the task to be processed based on preset task classification rules;

[0102] An initial value adjustment module is used to adjust the initial task incentive points of the task to be processed based on the difficulty level and the time urgency level of the task to be processed.

[0103] In one embodiment, the integral incentive module includes:

[0104] A points data module, configured to update the points data of the task associated person in response to the task associated person obtaining the task incentive points;

[0105] The points ranking module is used to rank the points of several task-associated persons based on the points data.

[0106] In one embodiment, the integral incentive module includes:

[0107] The points management module is used to increase or deduct the points data of the task-associated person in response to a reward event or consumption event triggered by the task-associated person. The reward event includes completing the pending task in advance, and the consumption event includes consuming the task incentive points for redemption.

[0108] Each module in the above-mentioned demand management device based on point rewards can be implemented in whole or in part by software, hardware and a combination thereof. Each of the above-mentioned modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0109] In one embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as follows: Fig. 9As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a demand management method based on point rewards is realized. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device shell, or an external keyboard, touchpad or mouse.

[0110] Those skilled in the art will understand that Fig. 9 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0111] In one embodiment, a computer device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above method embodiments when executing the computer program.

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

[0113] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0114] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant laws, regulations and standards of relevant countries and regions.

[0115] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0116] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0117] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A demand management method based on point rewards, characterized in that: The method comprises: In response to the acquisition of the demand information, the demand information is parsed to obtain task creation information corresponding to the demand information; Determine task attribute information of the task to be processed based on the task creation information, wherein the task attribute information includes task type, task associated person information, and task historical timeliness information; Based on the preset points configuration rules and the task attribute information, configure task incentive points for the task to be processed; In response to the completion of the pending task, a points incentive is provided to a task associate associated with the pending task based on the task incentive points.

2. The method according to claim 1, characterized in that The configuring task incentive points for the pending task based on the preset point configuration rules and the task attribute information includes: Determining a number of task nodes included in the task to be processed based on the task attribute information; The task incentive points are allocated to the task nodes.

3. The method according to claim 2, characterized in that In response to the completion of the pending task, providing a points incentive to a task associate associated with the pending task based on the task incentive points includes: In response to the completion of the task node of the pending task, task points incentives are provided in stages to the task associates associated with the task node.

4. The method according to claim 1, characterized in that The configuring task incentive points for the pending task based on the preset point configuration rules and the task attribute information includes: Determine the difficulty level and time urgency level of the task to be processed based on preset task classification rules; Based on the difficulty level and the time urgency level of the task to be processed, the initial task incentive points of the task to be processed are adjusted.

5. The method according to any one of claims 1 to 4, characterized in that: In response to the completion of the pending task, providing a points incentive to a task associate associated with the pending task based on the task incentive points includes: In response to the task-associated person obtaining the task incentive points, updating the points data of the task-associated person; The plurality of task-associated persons are ranked by points based on the point data.

6. The method according to claim 1, characterized in that In response to the completion of the pending task, providing a points incentive to a task associate associated with the pending task based on the task incentive points includes: In response to a reward event or consumption event triggered by the task-associated person, the points data of the task-associated person is increased or deducted. The reward event includes completing the pending task in advance, and the consumption event includes consuming the task incentive points for redemption.

7. A demand management device based on point rewards, characterized in that: The device comprises: A demand information module, for parsing the demand information in response to the acquisition of the demand information, and obtaining task creation information corresponding to the demand information; A task attribute module, used to determine task attribute information of the task to be processed based on the task creation information, wherein the task attribute information includes task type, task associated person information, and task historical timeliness information; A points configuration module, used to configure task incentive points for the task to be processed based on preset points configuration rules and the task attribute information; The point incentive module is used to provide point incentives to task associates associated with the task to be processed based on the task incentive points in response to the completion of the task to be processed.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.