Case data distribution method and system and electronic equipment

Abstract

The invention provides a case data distribution method and system and electronic equipment. The method comprises the following steps: firstly, determining index parameters corresponding to case data according to type parameters of the case data; determining a scoring strategy corresponding to the index parameter and a weight value corresponding to the scoring strategy, and performing calculation by using the scoring strategy and the weight value to obtain a scoring result of the case data; conciliator data corresponding to the case data are acquired, and a distribution strategy corresponding to the case data is determined based on the scoring result and the conciliator data; and finally, determining a mediator corresponding to the case data based on the distribution strategy, and distributing the case data to the corresponding mediator by using the distribution strategy. According to the method, a corresponding scoring strategy and a weight value are set by using index parameters of case data to accurately quantify the case quality, and accurate data support can be provided in the mediation process of a mediator; and meanwhile, a detailed allocation strategy is obtained by utilizing a scoring result and combining mediator data, so that fair and reasonable allocation of the cases is realized for a management party.

Description

Technical Field

[0001] The present invention relates to the field of process processing, and in particular to a case data distribution method, system and electronic equipment. Background Art

[0002] In the case process management and control of financial mediation, it is necessary to fully consider different business scenarios such as the amount of case repayments and the mediator's mediation success rate. When assigning cases to mediators, it is necessary to consider not only the rationality of the case allocation but also the execution efficiency of the case mediation. For the management, the focus is on the fairness of case allocation, the overall case mediation success rate, and the amount of repayments; for the mediator, the focus is on the quality of the case and the quantitative analysis of the execution process, which is conducive to improving the efficiency and success rate of mediation. However, since the two are in different business processes, the management is not involved in the specific mediation process and can only assign cases based on limited conditions, making it difficult to ensure the fair and reasonable allocation of case data; for the mediator, since the quality of the case data cannot be quantified, it can only focus on certain key indicators, which affects the efficiency of mediation. Summary of the Invention

[0003] In view of this, the purpose of the present invention is to provide a case data allocation method, system and electronic device, which uses the indicator parameters of the case data to set the corresponding scoring strategy and weight value to accurately quantify the case quality, and can provide accurate data support for the mediator in the mediation process; at the same time, the method uses the scoring results and combines the mediator data to obtain a detailed allocation strategy, which realizes fair and reasonable allocation of cases for the management party.

[0004] In a first aspect, an embodiment of the present invention provides a case data allocation method, the method comprising: Determine the indicator parameters corresponding to the case data according to the type parameters of the case data; Determine the scoring strategy and weight values ​​corresponding to the indicator parameters, and use the scoring strategy and weight values ​​to calculate the scoring results of the case data; Obtain mediator data corresponding to the case data, and determine a distribution strategy corresponding to the case data based on the scoring results and the mediator data; The mediator corresponding to the case data is determined based on the allocation strategy, and the case data is allocated to the corresponding mediator using the allocation strategy.

[0005] Optionally, the indicator parameters corresponding to the case data are determined based on the type parameters of the case data, including: Determine the indicator type corresponding to the case data based on the type parameter; Based on the indicator type, determine the message feedback parameters, target amount parameters, preservation status parameters, and case type parameters corresponding to the case data; The indicator parameters corresponding to the case data are determined using the message feedback parameters, target amount parameters, preservation status parameters, and case type parameters.

[0006] Optionally, a scoring strategy and its corresponding weight values ​​corresponding to the indicator parameters are determined, and the scoring results of the case data are calculated using the scoring strategy and the weight values, including: Use indicator parameters to obtain the scoring indicators corresponding to the case data; Determine the scoring strategy corresponding to the indicator parameters based on the process parameters of the scoring indicators, and determine the weight value through the importance parameter of the scoring strategy; The scoring strategy is used to obtain the scoring value corresponding to the case data, and the scoring value is weightedly calculated with the weight value to obtain the scoring result of the case data.

[0007] Optionally, use indicator parameters to obtain the scoring indicators corresponding to the case data, including: Determine the message feedback scoring index of the case data using the message feedback parameters determined by the indicator parameters; Determine the target amount scoring index of the case data using the target amount parameter determined by the indicator parameter; Determine the preservation status scoring index of the case data using the preservation status parameter determined by the indicator parameter; The case type parameters determined by the indicator parameters are used to determine the case type scoring indicators of the case data.

[0008] Optionally, a scoring strategy corresponding to the indicator parameter is determined based on the process parameter of the scoring indicator, including: Determining a message feedback scoring strategy corresponding to the message feedback scoring indicator based on the processing intention parameter corresponding to the message feedback parameter; Determine the target amount scoring strategy corresponding to the target amount scoring indicator based on the amount threshold corresponding to the target amount parameter; Determine the preservation status scoring strategy corresponding to the preservation status scoring indicator based on the preservation process parameters corresponding to the preservation status parameters; Based on the loan dispute parameters corresponding to the case type parameters, the case type scoring strategy corresponding to the case type scoring indicator is determined.

[0009] Optionally, obtain mediator data corresponding to the case data, and determine a distribution strategy corresponding to the case data based on the scoring results and the mediator data, including: According to the mediator data, determine the mediator corresponding to the case data; Determine the mediator's score based on the mediator data, and use the score result to determine the score value corresponding to the case data; The numerical relationship between the scoring value and the score value is used to determine the allocation strategy of case data.

[0010] Optionally, a numerical relationship between the score value and the score value is used to determine a case data allocation strategy, including: Obtain the caseload and the number of mediators corresponding to the case data, and group the caseload according to the number of mediators to obtain the case groups corresponding to the case data; Obtain the maximum score value in the case group, and use the numerical relationship between the maximum value and the minimum score value to obtain the group allocation strategy corresponding to the case group; wherein the group allocation strategy is used to allocate the case data corresponding to the maximum value to the mediator corresponding to the minimum score value until the case data in the case group are fully allocated; Determine the allocation strategy corresponding to the case data based on the group allocation strategy.

[0011] Optionally, after determining the mediator corresponding to the case data based on the allocation strategy and allocating the case data to the corresponding mediator using the allocation strategy, the method includes: Obtain the mediation result data of the mediator corresponding to the case data; Determine the success rate data corresponding to the mediator based on the mediation result data, and use the success rate data to determine the weight adjustment strategy corresponding to the case data; The weight value is updated through the weight adjustment strategy.

[0012] In a second aspect, the present invention provides a case data distribution system, the system comprising: An indicator determination module, used to determine the indicator parameters corresponding to the case data according to the type parameters of the case data; The scoring calculation module is used to determine the scoring strategy and its corresponding weight value corresponding to the indicator parameters, and use the scoring strategy and weight value to calculate the scoring results of the case data; A strategy generation module is used to obtain mediator data corresponding to the case data and determine the allocation strategy corresponding to the case data based on the scoring results and the mediator data; The allocation execution module is used to determine the mediator corresponding to the case data based on the allocation strategy, and allocate the case data to the corresponding mediator using the allocation strategy.

[0013] In a third aspect, an embodiment of the present invention further provides an electronic device comprising a processor and a memory, wherein the memory stores computer-executable instructions that can be executed by the processor, and the processor executes the computer-executable instructions to implement the steps of the case data allocation method provided in the first aspect.

[0014] In a fourth aspect, an embodiment of the present invention further provides a storage medium storing computer-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to implement the steps of the case data allocation method provided in the first aspect.

[0015] The embodiment of the present invention provides a case data allocation method, system, and electronic device. In the process of using case data to allocate corresponding cases, the method first determines the indicator parameters corresponding to the case data based on the type parameters of the case data; then determines the scoring strategy corresponding to the indicator parameters and the corresponding weight values, and uses the scoring strategy and weight values ​​to calculate the scoring results of the case data; then obtains the mediator data corresponding to the case data, and determines the allocation strategy corresponding to the case data based on the scoring results and the mediator data; finally, determines the mediator corresponding to the case data based on the allocation strategy, and uses the allocation strategy to allocate the case data to the corresponding mediator. This method uses the indicator parameters of the case data to set the corresponding scoring strategy and weight values ​​to accurately quantify the quality of the case, and can provide accurate data support for the mediator in the mediation process; at the same time, the method uses the scoring results and combines the mediator data to obtain a detailed allocation strategy, which realizes fair and reasonable allocation of cases for the management party.

[0016] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or understood by practicing the present invention. The purposes and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description, claims and drawings.

[0017] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the specific embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0019] Figure 1 A flowchart of a case data allocation method provided by an embodiment of the present invention; Figure 2 A flowchart of step S101 in a case data allocation method provided in an embodiment of the present invention; Figure 3 A flowchart of step S102 in a case data allocation method provided in an embodiment of the present invention; Figure 4 A flowchart of step S301 in a case data allocation method provided in an embodiment of the present invention; Figure 5A flowchart of determining a scoring strategy corresponding to an indicator parameter based on a process parameter of a scoring indicator in a case data allocation method provided by an embodiment of the present invention; Figure 6 A flowchart of step S103 in a case data allocation method provided in an embodiment of the present invention; Figure 7 A flowchart of step S603 in a case data allocation method provided in an embodiment of the present invention; Figure 8 This is a flowchart after step S104 in a case data allocation method provided by an embodiment of the present invention; Figure 9 A schematic diagram of a case data distribution system provided by an embodiment of the present invention; Figure 10 A schematic structural diagram of an electronic device provided by an embodiment of the present invention.

[0020] icon: 910-Indicator determination module; 920-Score calculation module; 930-Strategy generation module; 940-Assignment execution module; 101 - processor; 102 - memory; 103 - bus; 104 - communication interface. DETAILED DESCRIPTION

[0021] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of them. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0022] When managing and controlling financial mediation cases, it's crucial to fully consider different business scenarios, such as the amount of funds recovered and the mediator's success rate. When assigning cases to mediators, not only is the rationality of the assignment considered, but also the efficiency of the mediation execution. For managers, the fairness of case assignments, the overall mediation success rate, and the amount of funds recovered are of primary concern. For mediators, the quality of the cases and the quantitative analysis of the execution process are crucial, which can help improve mediation efficiency and success rates.

[0023] Since the two are in different business processes, the management party is not involved in the specific mediation process and can only allocate cases based on limited conditions, making it difficult to ensure fair and reasonable allocation of case data; and for mediators, since the quality of case data cannot be quantified, they can only focus on certain key indicators, which affects the efficiency of mediation. Based on this, the present invention implements a case data allocation method, system and electronic equipment, which uses the indicator parameters of case data to set corresponding scoring strategies and weight values ​​to accurately quantify the quality of cases, and can provide accurate data support for mediators in the mediation process; at the same time, the scoring results are used in combination with mediator data to obtain a detailed allocation strategy, which achieves fair and reasonable allocation of cases for the management party.

[0024] To facilitate understanding of this embodiment, a case data allocation method disclosed in an embodiment of the present invention is first introduced in detail. Figure 1 Shown, including: Step S101, determining the indicator parameters corresponding to the case data according to the type parameters of the case data; Step S102: Determine the scoring strategy and weight values ​​corresponding to the indicator parameters, and calculate the scoring results of the case data using the scoring strategy and weight values; Step S103, obtaining mediator data corresponding to the case data, and determining a distribution strategy corresponding to the case data based on the scoring result and the mediator data; Step S104: determining the mediator corresponding to the case data based on the allocation strategy, and allocating the case data to the corresponding mediator using the allocation strategy.

[0025] Specifically, case data refers to the extensive business data across various platforms involved in a case, representing a specific case. This case must ultimately be assigned to a mediator, and this assignment is achieved through allocation strategies. Therefore, for managers, allocation strategies are the core of case data allocation. For mediators, case data must be accurately quantified to determine appropriate adjustment strategies, thus digitizing the case data.

[0026] Specifically, when case data is quantified, the type of case is first obtained based on the type parameters of the case data, and then the indicator parameters of the case data are determined according to the case type. These indicator parameters are usually multiple, and each indicator parameter corresponds to a specific key indicator. These key indicators correspond to different scoring strategies, so the corresponding scoring strategy can be obtained using the indicator parameters.

[0027] It is worth mentioning that the numerical values ​​corresponding to these key indicators are finally obtained under the scoring strategy. These data need to be constrained according to the weight values ​​corresponding to the scoring strategy to obtain the scoring results of the case data.

[0028] Since each case data point corresponds to a score result, when assigning multiple cases to different mediators, it is necessary to combine the mediator's data to make a reasonable allocation. The allocation process is primarily based on an allocation strategy formed by the numerical value of the score result and the mediator's own quantitative value. Generally speaking, under this allocation strategy, relatively high-quality and easy-to-mediate cases are assigned to mediators with relatively low scores, while relatively low-quality and difficult-to-mediate cases are assigned to mediators with relatively high scores, thus ensuring fairness and rationality as much as possible.

[0029] Optionally, step S101 of determining the indicator parameters corresponding to the case data according to the type parameters of the case data, such as Figure 2 Shown, including: Step S201, determining the indicator type corresponding to the case data according to the type parameter; Step S202: Determine the message feedback parameter, target amount parameter, preservation status parameter, and case type parameter corresponding to the case data based on the indicator type; Step S203: Determine the indicator parameters corresponding to the case data using the message feedback parameter, the target amount parameter, the preservation status parameter, and the case type parameter.

[0030] The process of obtaining indicator parameters primarily involves four categories: message feedback, target amount, preservation status, and case type. Specifically, the type parameter is used to determine the specific indicator type corresponding to the case data. Based on this indicator type, the corresponding message feedback parameters, target amount parameters, preservation status parameters, and case type parameters are then obtained. These parameters are then used to obtain the final indicator parameters for use in subsequent steps.

[0031] Optionally, a scoring strategy and its corresponding weight value corresponding to the indicator parameter are determined, and a scoring result of the case data is calculated using the scoring strategy and the weight value, such as step S102. Figure 3 Shown, including: Step S301, using the indicator parameters to obtain the scoring indicators corresponding to the case data; Step S302: determining a scoring strategy corresponding to the indicator parameter based on the process parameter of the scoring indicator, and determining a weight value through an importance parameter of the scoring strategy; Step S303: Using the scoring strategy to obtain the scoring value corresponding to the case data, and performing weighted calculation on the scoring value and the weight value to obtain the scoring result of the case data.

[0032] Based on the above four types of indicator parameters, the indicator parameters are used to obtain the scoring indicators corresponding to the case data. Specifically, the step S301 of obtaining the scoring indicators corresponding to the case data using the indicator parameters is optional, such as Figure 4Shown, including: Step S401, using the message feedback parameters determined by the indicator parameters to determine the message feedback scoring indicators of the case data; Step S402, using the target amount parameter determined by the indicator parameter to determine the target amount scoring index of the case data; Step S403, using the preservation status parameter determined by the indicator parameter to determine the preservation status scoring index of the case data; Step S404: Determine a case type scoring index for the case data using the case type parameter determined by the index parameter.

[0033] The above process corresponds to four factors that influence case quality: feedback, target amount, preservation status, and case type. Specifically, the feedback scoring indicator uses the content of SMS and phone feedback to represent the attitudes of the parties involved in the case, such as: negative attitude, willingness to mediate, or need for further follow-up.

[0034] The subject amount scoring metric primarily uses the subject amount involved in a case to categorize cases. A threshold can be set based on the specific amount involved. The preservation status scoring metric primarily represents the preservation status of a case, such as: not preserved, preservation filed, frozen, unfrozen, or revoked. Different preservation status parameters correspond to different statuses. The cause of action scoring metric primarily represents the reason for filing a case, such as: financial loan, family property dispute, traffic accident dispute, industrial accident dispute, partnership agreement dispute, etc.

[0035] Under different types of indicator parameters, the corresponding scoring strategy is set and determined based on the specific process parameters of the scoring indicator; optionally, the scoring strategy corresponding to the indicator parameter is determined based on the process parameters of the scoring indicator, such as Figure 5 Shown, including: Step S501: determining a message feedback scoring strategy corresponding to a message feedback scoring indicator based on a processing intention parameter corresponding to a message feedback parameter; Step S502: determining a target amount scoring strategy corresponding to a target amount scoring indicator based on a target amount threshold corresponding to the target amount parameter; Step S503: determining a preservation status scoring strategy corresponding to the preservation status scoring indicator based on the preservation process parameters corresponding to the preservation status parameters; Step S504: Determine a case type scoring strategy corresponding to a case type scoring indicator based on the loan dispute parameter corresponding to the case type parameter.

[0036] For message feedback parameters, the feedback scoring strategy is determined by obtaining their corresponding processing intention parameters. The processing intention parameter is used to represent the willingness to process the message. When providing feedback on SMS and phone messages, the processing intention parameter covers scenarios such as no feedback, negative attitude, and adjustment intention.

[0037] Similarly, for the target amount parameter, a specific amount threshold needs to be set to serve as the basis for the target amount scoring strategy; for the preservation status parameter, specific preservation process parameters need to be set to represent preservation statuses such as not preserved, preservation filed, preservation frozen, preservation unfrozen, and preservation revoked; for the case type parameter, specific loan dispute parameters need to be set to represent the reasons for filing a case such as financial loans, family property disputes, traffic accident disputes, work-related accident disputes, and partnership agreement disputes.

[0038] After obtaining the scoring strategy, you need to set its corresponding weight value. The weight value is determined by the scoring strategy's importance parameter. Specifically, the four categories of feedback, target amount, preservation status, and case type can all have the same weight value of 25%. Within each scoring indicator, you can also set corresponding sub-weights. For example, for feedback, the weight of negative attitude can be set to 25%, the weight of mediation intention can be set to 100%, and the weight of further follow-up can be set to 50%. For the target amount, the weighting value is 25% for amounts less than or equal to 10,000 yuan, 30% for amounts greater than 10,000 yuan and less than 20,000 yuan, 40% for amounts greater than 20,000 yuan and less than 30,000 yuan, and so on; For the preservation status, the weight value of unpreserved is 20%, the weight value of filed preservation is 260%, the weight value of frozen preservation is 100%, the weight value of unfrozen preservation is 20%, the weight value of revoked preservation is 30%, etc.

[0039] For the case type, the weight value of financial loans is 80%, the weight value of family property disputes is 70%, the weight value of traffic accident disputes is 60%, the weight value of work-related accident disputes is 70%, the weight value of partnership agreement disputes is 50%, etc.

[0040] The specific calculation process involves weighting the score and weight to arrive at the case data score. For example, if a case's outbound call / SMS sending status is "Needs Further Follow-up," the case's subject amount is 20,000 yuan, a preservation order has been filed, and the case is for financial lending, the final score is (25% * 50% + 25% * 30% + 25% * 60% + 25% * 80%) * 100 = 55 points.

[0041] Optionally, step S103 of obtaining mediator data corresponding to the case data and determining the allocation strategy corresponding to the case data based on the scoring result and the mediator data is as follows: Figure 6 Shown, including: Step S601, determining the mediator corresponding to the case data based on the mediator data; Step S602: determining the mediator's score based on the mediator data, and using the scoring result to determine the score corresponding to the case data; Step S603: Determine the allocation strategy of the case data using the numerical relationship between the rating value and the score value.

[0042] After obtaining the scoring results corresponding to each case data, the scoring value corresponding to the case data can be determined, and then the mediator's own score value can be obtained based on the mediator data, so as to determine the allocation strategy using the relationship between the score value and the scoring value.

[0043] Optionally, the step S603 of determining the allocation strategy of case data by using the numerical relationship between the score value and the score value is as follows: Figure 7 Shown, including: Step S701: Obtain the caseload and the number of mediators corresponding to the case data, and group the caseload according to the number of mediators to obtain the case groups corresponding to the case data; Step S702: Obtain the maximum score value in the case group, and use the numerical relationship between the maximum score value and the minimum score value to obtain the group allocation strategy corresponding to the case group; wherein the group allocation strategy is used to allocate the case data corresponding to the maximum score value to the mediator corresponding to the minimum score value until the case data in the case group is completely allocated; Step S703: Determine the allocation strategy corresponding to the case data based on the group allocation strategy.

[0044] For example, nine cases with case score values ​​of 98, 96, 94, 90, 88, 87, 86, 84, and 80 are assigned to three mediators A, B, and C, and divided into the following three groups: [98, 96, 94], [90, 88, 87], and [86, 84, 80].

[0045] In the first round, random assignment can be used: A is assigned to cases with a score of 98; B is assigned to cases with a score of 96, and C is assigned to cases with a score of 94. Then, the highest score of 98 is used as the standard, and the difference in scores among the three is recorded, that is: A's difference is 98-98=0, B's difference is 96-98=-2, and C's difference is 94-98=-4.

[0046] The second round can use a compensatory allocation method, whereby those with lower scores in the previous round are prioritized over those with higher scores. For example, A will be assigned cases with 87 points, B with 88 points, and C with 90 points. Then, using the highest score in the second group (90 points) as the standard, the difference in scores is recorded and added to the previous round's total. Specifically, A's difference is 87 - 90 + 0 = -3, B's difference is 88 - 90 - 2 = -4, and C's difference is 90 - 90 - 4 = -4. Then, using the highest score in the difference (-3) as the standard, the new difference is reset: A's difference is -3 + 3 = 0, B's difference is -4 + 3 = 0, and C's difference is -4 + 3 = -1. At this point, mediators B and C still owe one point, and in the next round, they will be prioritized. And so on. It is impossible to achieve an absolute equal distribution based on scores every time a case is assigned, but by recording the difference in scores of each mediator last time and using it for the next assignment, it can be ensured that when the number of assignments is large enough, it is as close to fairness as possible.

[0047] Optionally, after step S104 of determining the mediator corresponding to the case data based on the allocation strategy and allocating the case data to the corresponding mediator using the allocation strategy, the method is as follows: Figure 8 As shown, it also includes: Step S801, obtaining the mediation result data of the mediator corresponding to the case data; Step S802: determining the success rate data corresponding to the mediator based on the mediation result data, and using the success rate data to determine the weight adjustment strategy corresponding to the case data; Step S803: Update the weight value using a weight adjustment strategy.

[0048] The initial weight value of each sub-factor of the four major factors affecting case quality can be adjusted in subsequent processing. Feedback is obtained by obtaining the mediation result data of the mediator corresponding to the case data. The feedback process is implemented using the success rate data corresponding to the mediator. The weight adjustment strategy corresponding to the case data is determined by the success rate data to update the weight value.

[0049] As time passes and mediation case data grows, the coefficients of influencing factors and case scores will become increasingly accurate, and the assessment of case quality will become increasingly precise. Administrators can use this method to ensure fairness in case assignments; mediators can allocate their time and energy appropriately based on case scores, undoubtedly creating a virtuous cycle for mediation efficiency and quality.

[0050] From the case data allocation method mentioned in the above embodiment, it can be seen that this method uses the indicator parameters of the case data to set the corresponding scoring strategy and weight value to accurately quantify the quality of the case, which can provide accurate data support for the mediator in the mediation process; at the same time, this method uses the scoring results and combines the mediator data to obtain a detailed allocation strategy, which realizes a fair and reasonable allocation of cases for the management party.

[0051] Corresponding to the case data allocation method provided in the above embodiment, the embodiment of the present invention provides a case data allocation system, such as Figure 9 As shown, the system includes: An indicator determination module 910 is configured to determine an indicator parameter corresponding to the case data according to a type parameter of the case data; Scoring calculation module 920, used to determine the scoring strategy and its corresponding weight value corresponding to the indicator parameter, and calculate the scoring result of the case data using the scoring strategy and weight value; A strategy generation module 930 is used to obtain mediator data corresponding to the case data and determine the allocation strategy corresponding to the case data based on the scoring result and the mediator data; The allocation execution module 940 is used to determine the mediator corresponding to the case data based on the allocation strategy, and allocate the case data to the corresponding mediator using the allocation strategy.

[0052] From the case data allocation system mentioned in the above embodiment, it can be seen that the system uses the indicator parameters of the case data to set the corresponding scoring strategy and weight value to accurately quantify the quality of the case, and can provide accurate data support for the mediator in the mediation process; at the same time, the system uses the scoring results and combines the mediator data to obtain a detailed allocation strategy, which realizes a fair and reasonable allocation of cases for the management party.

[0053] The case data distribution system provided in the embodiment of the present invention has the same implementation principle and technical effects as those in the aforementioned case data distribution method embodiment. For the sake of brief description, for matters not mentioned in the device embodiment, reference can be made to the corresponding content in the aforementioned case data distribution method embodiment.

[0054] This embodiment also provides an electronic device. The structural diagram of the electronic device is as follows: Figure 10 As shown, the device includes a processor 101 and a memory 102; wherein the memory 102 is used to store one or more computer instructions, and the one or more computer instructions are executed by the processor to implement the steps of the above-mentioned case data allocation method.

[0055] Figure 10 The electronic device shown further includes a bus 103 and a communication interface 104 , and the processor 101 , the communication interface 104 and the memory 102 are connected via the bus 103 .

[0056] The memory 102 may include a high-speed random access memory (RAM) and may also include a non-volatile memory, such as at least one disk storage. The bus 103 may be an ISA bus, a PCI bus, or an EISA bus. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 10 Only one bidirectional arrow is used in the diagram, but this does not mean that there is only one bus or one type of bus.

[0057] The communication interface 104 is used to connect to at least one user terminal and other network units through a network interface, and send the encapsulated IPv4 message or IPv4 message to the user terminal through the network interface.

[0058] The processor 101 may be an integrated circuit chip with signal processing capabilities. During implementation, each step of the above method can be completed by an integrated logic circuit of hardware in the processor 101 or by instructions in the form of software. The above-mentioned processor 101 may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it may also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The various methods, steps, and logic block diagrams disclosed in the embodiments of the present disclosure can be implemented or executed. The general-purpose processor may be a microprocessor or the processor may be any conventional processor, etc. The steps of the method disclosed in conjunction with the embodiments of the present disclosure can be directly embodied as being executed by a hardware decoding processor, or executed by a combination of hardware and software modules in the decoding processor. The software module can be located in a storage medium well-known in the art, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, etc. The storage medium is located in memory 102, and processor 101 reads information in memory 102 and, in conjunction with its hardware, completes the steps of the method of the aforementioned embodiment.

[0059] An embodiment of the present invention further provides a storage medium storing a computer program. When the computer program is executed by a processor, the steps of the case data allocation method in the aforementioned embodiment are executed.

[0060] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interface, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0061] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0062] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0063] If the functions are implemented as software functional units and sold or used as independent products, they can be stored in a processor-executable, non-volatile, computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage media include various media capable of storing program code, such as USB flash drives, mobile hard drives, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical disks.

[0064] Finally, it should be noted that the above-described embodiments are only specific implementations of the present invention, which are used to illustrate the technical solutions of the present invention, rather than to limit them. The scope of protection of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the above-described embodiments, those skilled in the art should understand that any person skilled in the art can modify or easily conceive of changes to the technical solutions described in the above-described embodiments within the technical scope disclosed by the present invention, or replace some of the technical features therein with equivalents. Such modifications, changes, or replacements do not deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be based on the scope of protection of the claims.

Claims

1. A case data allocation method, characterized in that: The method comprises: Determining the indicator parameters corresponding to the case data according to the type parameters of the case data; Determine a scoring strategy corresponding to the indicator parameter and its corresponding weight value, and calculate a scoring result of the case data using the scoring strategy and the weight value; Obtaining mediator data corresponding to the case data, and determining an allocation strategy corresponding to the case data based on the scoring result and the mediator data; The mediator corresponding to the case data is determined based on the allocation strategy, and the case data is allocated to the corresponding mediator using the allocation strategy.

2. The case data distribution method according to claim 1, characterized in that: Determining the indicator parameters corresponding to the case data according to the type parameters of the case data includes: Determining the indicator type corresponding to the case data according to the type parameter; Based on the indicator type, determining the message feedback parameter, target amount parameter, preservation status parameter, and case type parameter corresponding to the case data; The indicator parameter corresponding to the case data is determined using the message feedback parameter, the target amount parameter, the preservation status parameter, and the case type parameter.

3. The case data distribution method according to claim 2, characterized in that: Determining a scoring strategy and a corresponding weight value corresponding to the indicator parameter, and calculating a scoring result of the case data using the scoring strategy and the weight value, including: Using the indicator parameters to obtain the scoring indicators corresponding to the case data; Determining the scoring strategy corresponding to the indicator parameter based on the process parameter of the scoring indicator, and determining the weight value according to the importance parameter of the scoring strategy; The scoring strategy is used to obtain a scoring value corresponding to the case data, and the scoring value is weightedly calculated with the weight value to obtain the scoring result of the case data.

4. The case data distribution method according to claim 3, characterized in that: The scoring indicators corresponding to the case data are obtained by using the indicator parameters, including: Determining a message feedback scoring index for the case data using the message feedback parameter determined by the indicator parameter; Determining a target amount scoring index for the case data using the target amount parameter determined by the index parameter; Determining a preservation status scoring index for the case data using the preservation status parameter determined by the indicator parameter; The case cause type parameter determined by the indicator parameter is used to determine the case cause type scoring index of the case data.

5. The case data distribution method according to claim 4, characterized in that: Determining the scoring strategy corresponding to the indicator parameter based on the process parameter of the scoring indicator includes: Determining a message feedback scoring strategy corresponding to the message feedback scoring indicator based on a processing intention parameter corresponding to the message feedback parameter; Determining a target amount scoring strategy corresponding to the target amount scoring indicator based on the target amount threshold corresponding to the target amount parameter; Determining a preservation status scoring strategy corresponding to the preservation status scoring indicator based on the preservation process parameters corresponding to the preservation status parameters; Based on the loan dispute parameters corresponding to the case type parameters, a case type scoring strategy corresponding to the case type scoring indicator is determined.

6. The case data distribution method according to claim 1, characterized in that: Obtaining mediator data corresponding to the case data, and determining an allocation strategy corresponding to the case data based on the scoring result and the mediator data, including: Determining the mediator corresponding to the case data according to the mediator data; Determining a score value of the mediator based on the mediator data, and determining a score value corresponding to the case data using the scoring result; The allocation strategy of the case data is determined using the numerical relationship between the scoring value and the score value.

7. The case data distribution method according to claim 6, characterized in that: Determining the allocation strategy of the case data by using the numerical relationship between the scoring value and the score value includes: Obtaining the caseload corresponding to the case data and the number of mediators, and grouping the caseload according to the number of mediators to obtain case groups corresponding to the case data; Obtaining the maximum value of the score value in the case group, and using the numerical relationship between the maximum value and the minimum value among the score values ​​to obtain a group allocation strategy corresponding to the case group; wherein the group allocation strategy is used to allocate the case data corresponding to the maximum value to the mediator corresponding to the minimum score value until the case data in the case group is completely allocated; The allocation strategy corresponding to the case data is determined based on the group allocation strategy.

8. The case data distribution method according to claim 1, characterized in that: After determining the mediator corresponding to the case data based on the allocation strategy and allocating the case data to the corresponding mediator using the allocation strategy, the method includes: Obtaining the mediation result data of the mediator corresponding to the case data; Determining the success rate data corresponding to the mediator based on the mediation result data, and determining the weight adjustment strategy corresponding to the case data using the success rate data; The weight value is updated using the weight adjustment strategy.

9. A case data distribution system, characterized in that: The system comprises: An indicator determination module, configured to determine an indicator parameter corresponding to the case data according to a type parameter of the case data; A scoring calculation module is used to determine a scoring strategy and a corresponding weight value corresponding to the indicator parameter, and calculate a scoring result of the case data using the scoring strategy and the weight value; a strategy generation module, configured to obtain mediator data corresponding to the case data, and determine an allocation strategy corresponding to the case data based on the scoring result and the mediator data; The allocation execution module is used to determine the mediator corresponding to the case data based on the allocation strategy, and allocate the case data to the corresponding mediator using the allocation strategy.

10. An electronic device, characterized in that: The method comprises a processor and a memory, wherein the memory stores computer-executable instructions that can be executed by the processor, and the processor executes the computer-executable instructions to implement the steps of the case data allocation method according to any one of claims 1 to 8.

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