CN114926184B - Method, system and apparatus for optimizing the claims cost recovery process - Google Patents
Method, system and apparatus for optimizing the claims cost recovery process Download PDFInfo
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Abstract
本申请涉及优化索赔成本回收过程的方法、系统和设备。该方法包括针对涉及故障零件的每个索赔项目：基于索赔项目的信息与参数集的匹配结果，确定与该索赔项目相关联的参数集以及与该索赔项目相关联的故障零件返回比例，其中参数集被分配对应的计数器和对应的故障零件返回比例；基于与该索赔项目相关联的故障零件返回比例和与该索赔项目相关联的参数集的计数器的值，确定该索赔项目所涉及的故障零件是否要被返回；和响应于确定该索赔项目所涉及的故障零件要被返回，基于该索赔项目向供应商索赔，其中针对该索赔项目从供应商索要的实际索赔值是该索赔项目所涉及的故障零件的材料成本和与所述故障零件的供应商对应的历史赔偿系数的乘积。
The present application relates to a method, system and device for optimizing the claim cost recovery process. The method includes: for each claim item involving a faulty part: based on the matching result of the information of the claim item and the parameter set, determining the parameter set associated with the claim item and the return ratio of the faulty parts associated with the claim item, wherein the parameter set is assigned a corresponding counter and a corresponding return ratio of the faulty parts; based on the return ratio of the faulty parts associated with the claim item and the value of the counter of the parameter set associated with the claim item, determining whether the faulty parts involved in the claim item are to be returned; and in response to determining that the faulty parts involved in the claim item are to be returned, claiming from the supplier based on the claim item, wherein the actual claim value demanded from the supplier for the claim item is the product of the material cost of the faulty parts involved in the claim item and the historical compensation coefficient corresponding to the supplier of the faulty parts.
Description
Technical Field
The present disclosure relates to process optimization, and in particular to methods, systems, and apparatus to optimize claim cost recovery processes.
Background
After the automobile is sold, a warranty is generated when a maintenance event (e.g., replacement of a part) occurs during the warranty period. The dealer provides the warranty to the automobile manufacturer, which will then return the cost to the parts supplier after reimbursement to the dealer based on factors such as whether the warranty period is in progress.
Typically, the dealer will return all of each warranty generated and the associated faulty part(s), if any, to the supplier, which analyzes each warranty, determines the liability of the claim, and proceeds to agree to a compensation of.
Disclosure of Invention
According to an embodiment of the present disclosure, a computer-implemented method is provided that includes, for each claim item related to a faulty component, determining a parameter set associated with the claim item and a faulty component return ratio associated with the claim item based on a result of matching information of the claim item with the parameter set, wherein the parameter set is assigned a corresponding counter and a corresponding faulty component return ratio, determining whether the faulty component related to the claim item is to be returned based on the faulty component return ratio associated with the claim item and a value of the counter of the parameter set associated with the claim item, and in response to determining that the faulty component related to the claim item is to be returned, based on the claim item to a vendor, wherein an actual claim value required from the vendor for the claim item is a product of a material cost of the faulty component related to the claim item and a historical compensation coefficient corresponding to the vendor of the faulty component.
According to some embodiments, the method may further include assigning a corresponding historical compensation coefficient to the supplier, wherein the historical compensation coefficient is calculated by dividing a sum of compensation costs of all faulty parts associated with the supplier over a predetermined historical period by a sum of material costs of all returned faulty parts associated with the supplier, wherein the compensation costs of each faulty part include the material costs and additional costs of the faulty part.
According to some embodiments, the matching of the information of the claim item with the parameter sets indicates that the claim item matches a plurality of parameter sets, the method further comprising one of (1) selecting one of the parameter sets whose failed part return ratio is greatest as the parameter set associated with the claim item, and (2) selecting one of the parameter sets having the highest degree of matching as the parameter set associated with the claim item.
According to some embodiments, the method may further include, after determining the parameter set associated with the claim item, determining a value of a counter of the parameter set associated with the claim item by incrementing the value of the counter of the parameter set by 1.
According to some embodiments, the method may further include calculating a agree to a compensation of rate corresponding to a provider, wherein the agree to a compensation of rate is a ratio of a number of claim items associated with the provider associated with the returned faulty part within a predetermined period of time to a number of claim items associated with the provider associated with the returned faulty part and agree to a compensation of within the predetermined period of time.
According to some embodiments, the method may further include calculating a sum of actual claim values of claim items associated with all returned and agree to a compensation of faulty parts associated with the supplier for the predetermined period of time as a total actual claim value associated with the supplier for the predetermined period of time, calculating a product of a total reimbursement cost of all claim items associated with the supplier for the predetermined period of time and the agree to a compensation of rate as a total reimbursement value associated with the supplier for the predetermined period of time, and calculating a difference between the total reimbursement value and the total actual claim value as a reimbursement differential associated with the supplier for the predetermined period of time.
According to some embodiments, the method may further include assigning a corresponding failed part return ratio and a corresponding counter to each of the one or more parameter sets.
According to some embodiments, the method may further include setting one or more parameter sets, wherein each parameter set includes at least one of a vendor code, a fault code, a part number, a vehicle model, an engine model, an excluded part number, an excluded fault code, a vehicle production time, a vehicle repair time, a mileage, and a dealer code.
According to some embodiments, the step of claiming the provider based on the claim term further comprises generating a claim bill for the plurality of claim terms, the claim bill comprising an aggregate actual claim value claimed from the provider for the plurality of claim terms, and transmitting the claim bill to the provider.
According to some embodiments, the step of claiming the provider based on the claim terms further comprises generating a claim bill for each claim term, and sending the claim bill to the provider.
According to an embodiment of the present disclosure, there is provided a computer system comprising one or more processors, and a memory coupled with the one or more processors, the memory storing computer-readable program instructions that, when executed by the one or more processors, cause the one or more processors to perform the method as described above.
According to an embodiment of the present disclosure, there is provided a computer readable storage medium having stored thereon computer readable program instructions which, when executed by a processor, cause the processor to perform a method as described above.
According to an embodiment of the present disclosure, there is provided a computer program product comprising computer readable program instructions which, when executed by a processor, cause the processor to perform the method as described above.
Drawings
FIG. 1 is a schematic diagram for explaining an overview of an optimization claim cost recovery process according to an embodiment of the present disclosure.
FIG. 2 is a flow chart illustrating a method of optimizing a claim cost recovery process according to an embodiment of the present disclosure.
Fig. 3 is a table illustrating the relationship among the parameter set, the parameters included in the parameter set, the return ratio of the failed part, and the counter.
Fig. 4 is a table illustrating historical claim items, cost information related to the historical claim items, and the like.
FIG. 5 is a flow chart illustrating another method of optimizing a claim cost recovery process according to an embodiment of the present disclosure.
Fig. 6 is a schematic diagram illustrating a general hardware environment in which devices according to embodiments of the present disclosure may be implemented.
Detailed Description
The following description is presented to enable one of ordinary skill in the art to make and use the embodiments and is provided in the context of a particular application and its requirements. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments and applications without departing from the spirit or scope of the embodiments. Thus, the embodiments are not limited to the embodiments shown, but are to be accorded the widest scope consistent with the principles and features disclosed herein.
FIG. 1 is a schematic diagram for explaining an overview of an optimization claim cost recovery process according to an embodiment of the present disclosure.
FIG. 1 shows a pool of claim parts, containing 300 failed parts.
First, for clarity of illustration in the present application, it is assumed that 300 faulty parts in FIG. 1 are all associated with the same supplier. The inventive solution is also applicable in the case where a plurality of faulty parts are associated with different suppliers, respectively.
In the prior art, all of the 300 faulty parts would be returned to the supplier, thus consuming logistical costs, for example, due to transporting 300 faulty parts. After the suppliers receive these faulty parts, verification of each faulty part is required, analysis agree to a compensation of of responsibility (e.g., determining whether it is user responsibility, dealer responsibility, supplier responsibility, etc.), agree to a compensation of of the portion that should be taken care of by the suppliers. In the figure, it is assumed that the agree to a compensation of rate of suppliers is 50% for the reimbursement responsibilities of the 300 faulty parts. The final vendor's reimbursement value is 50% of the total reimbursement value requested by the dealer.
For a faulty part that should be charged by the supplier for compensation, not only the material costs incurred for replacing the faulty part, but also the additional costs incurred due to manual replacement, warehousing, and logistics are required for compensation. Therefore, in the prior art, suppliers are required to pay relatively high reimbursement costs for the failed parts.
One aspect of the present application is that rather than returning all of the failed parts to the supplier, a proportion of the failed parts are returned to the supplier. As shown, for example, suppose that the faulty parts are returned in a proportion of 1/3, i.e., 100 faulty parts are returned in total, and the remaining 200 faulty parts are not returned to the supplier. Claims may be made from suppliers based on each faulty part actually returned. The amount of claim from the supplier based on each faulty part actually returned is not the cost of compensation for the faulty part alone, but the product of the cost of material for the faulty part and the historical compensation coefficient for the supplier.
Thus, the supplier need only verify the 100 faulty parts and make agree to a compensation of based on the claim terms associated with the 100 faulty parts. The result of agree to a compensation of can essentially represent the reimbursement costs for these 300 failed parts.
Another aspect of the application is also to calculate a claim differential for a predetermined period of time (e.g., one year, half year, month, etc.). This is because agree to a compensation of results achieved based on the 100 failed parts actually returned may be somewhat different from the total cost of the actual required reimbursement for the 300 failed parts. For example, a dealer may routinely return a faulty part in a preset proportion and make claims based on the returned faulty part. And calculating a claim difference for all claim projects once every quarter or year so that the resulting claim compensation amount is as close as possible to the amount of the actual claim required.
FIG. 2 is a flow chart illustrating a method 200 of optimizing a claim cost recovery process according to an embodiment of the present disclosure. The method 200 may be performed for each claim item related to a failed part.
As shown in fig. 2, the method 200 includes a step S201 in which, for each claim item related to a faulty part, a parameter set associated with the claim item and a faulty part return ratio associated with the claim item are determined based on a result of matching information of the claim item with the parameter set, wherein the parameter set is assigned a corresponding counter and a corresponding faulty part return ratio.
Aspects of the application relate only to claim items related to faulty parts.
Each claim term may contain one or more information such as the part number of the failed part concerned, the supplier code of the supplier providing the failed part, the failure code, the date of manufacture and time of repair of the failed part, the model of the automobile associated with the failed part, the engine model, mileage, dealer code, and so forth. The person skilled in the art can perform screening and extraction of corresponding data when generating claim items from claim single data as required.
In some embodiments, the method may include presetting one or more parameter sets. Each parameter set may include at least one of a vendor code, a fault code, a part number, a vehicle model, an engine model, an excluded part number, an excluded fault code, a production time of the vehicle, a maintenance time of the vehicle, a mileage, and a dealer code.
The method may also assign a corresponding failed part return ratio and a corresponding counter to each of the one or more parameter sets.
Fig. 3 is a table illustrating the relationship among the parameter set, the parameters included in the parameter set, the return ratio of the failed part, and the counter.
As shown in fig. 3, for example, three parameter sets A1, A2, and A3 are set. Each parameter set comprises different parameters, for example, parameter set A1 comprises parameters P11 and P12, parameter set A2 comprises parameters P21 and P22, and parameter set A3 comprises parameters P31, P32 and P33. These parameters may be selected from the group consisting of vendor code, trouble code, part number, vehicle model, engine model, part number excluded, trouble code excluded, time of manufacture of the vehicle, time of maintenance of the vehicle, mileage, and dealer code.
Each parameter set may be assigned a different proportion of failed part returns. The failed part return ratio indicates the ratio of the number of failed parts actually returned to the supplier to the total number of failed parts.
For example, the failed part return ratio of parameter set A1 is 1/3, i.e., one failed part is returned every three failed parts. The return proportion of the fault parts of the parameter set A2 is 1/2, namely, one fault part is returned every two fault parts. The return ratio of the fault parts of the parameter set A3 is 1/4, namely 1 fault part is returned every 4 fault parts.
In some embodiments, the method can include comparing information of the claim item with parameter sets to determine which parameter set(s) the claim item matches. In some cases, it may be determined that the claim term matches multiple parameter sets, and then one parameter set needs to be selected therefrom as the parameter set associated with the claim term. For example, one of the plurality of matched parameter sets that has the greatest return proportion of the failed part may be selected as the parameter set associated with the claim term. For another example, one of the plurality of matched parameter sets having the highest degree of match (e.g., the highest number of matched parameters) may be selected as the parameter set associated with the claim term. The return proportion of the failed part of the parameter set associated with the claim term is the return proportion of the failed part associated with the claim term. Thus, different faulty parts may have different faulty part return ratios. In some embodiments, different faulty parts may also have the same faulty part return ratio.
The method 200 further includes a step S202 of determining whether the faulty part associated with the claim item is to be returned based on the faulty part return ratio associated with the claim item and the counter value of the parameter set associated with the claim item.
As described above, the method may also set a corresponding counter for each parameter set. As shown in fig. 3, for example, counters N1, N2, and N3 are set for parameter sets A1, A2, and A3, respectively. After determining the parameter set associated with the claim item, the value of the counter of the parameter set associated with the claim item is determined by incrementing the value of the counter of the parameter set by 1.
Based on the value of the counter of the parameter set associated with the claim item and the return proportion of the failed part associated with the claim item, a determination can be made as to whether to return the failed part to which the claim item relates. For example, assuming that the return proportion of the faulty part associated with the claim item is 1/3, when the value of the counter is an integer multiple of 3, the faulty part to which the claim item relates is returned. For another example, when the value of the counter is divided by 3 and the remainder is 1, the faulty component related to the corresponding claim item may be returned. Various ways of determining the value based on the counter can be envisaged by a person skilled in the art.
The method 200 further includes a step S203 of, in response to determining that the faulty component to which the claim item relates is to be returned, claiming a claim from the provider based on the claim item, wherein the actual claim value claimed from the provider for the claim item is a product of a material cost of the faulty component to which the claim item relates and a historical compensation coefficient corresponding to the provider of the faulty component.
The method may also include assigning the provider a corresponding historical compensation coefficient. The historical compensation coefficient is automatically calculated and updated based on the historical data, for example, at predetermined time intervals. For example, historical data for the provider for a predetermined historical period of time may be automatically extracted every other year or every half year, and historical compensation factors for the provider calculated and updated.
The historical compensation coefficient is calculated by dividing the sum of the compensation costs of all of the failed parts associated with the supplier by the sum of the material costs of all of the returned failed parts associated with the supplier over a predetermined historical period, wherein the compensation costs of each failed part include the material costs and additional costs of the failed part.
The material cost of the faulty part for example represents the cost of the replacement of the faulty part. Additional costs for the faulty component are, for example, the cost of labor, the cost of auxiliary materials, and the costs associated with warehousing, shipping, etc., associated with replacing the faulty component. The reimbursement costs for the failed part are the sum of the material costs and the additional costs. If the provider deems that the reimbursement for the failed part should be discountable, then the reimbursement costs for the failed part should be reimbursed.
Fig. 4 is a table illustrating historical claim items, cost information related to the historical claim items, and the like.
As shown in fig. 4, assume that there are N claim items associated with a provider for a predetermined historical period (e.g., the last year). These claims have been developed. The units of material cost, additional cost, and reimbursement cost are, for example, elements. Then, based on the information in the table in fig. 4, the historical claim coefficients can be calculated as follows:
Calculate the reimbursement costs a=15+12+16+14+15+19 for all claim items.
Calculate the sum of the material costs of all returned claims items b=10+7+14.
Calculate historical claim coefficients
In some embodiments, a separate claim bill may be generated for each claim item and sent to the provider to claim the provider based on the claim item.
In other embodiments, a claim bill may also be generated for a plurality of claim items, the claim bill including an aggregate actual claim value to be claimed from the supplier for the plurality of claim items, and the claim bill sent to the supplier for bulk claim to the supplier based on the plurality of claim items.
According to the method, the return proportion of the fault parts and the historical compensation coefficient of the suppliers are introduced, so that the number of the fault parts returned to the suppliers is reduced, the logistics, storage and analysis costs required by the suppliers for processing the fault parts are reduced, reasonable claims can be accurately made for the fault parts, the existing cost recovery process is improved, resources are saved, and the efficiency is improved.
FIG. 5 is a flow chart illustrating another method 500 of optimizing a claim cost recovery process according to an embodiment of the present disclosure.
The method 500 may include step S501, where a agree to a compensation of rate corresponding to a provider is calculated, where the agree to a compensation of rate is a ratio of a number of claim items associated with the provider associated with the returned faulty part over a predetermined period of time (e.g., over the year) to a number of claim items associated with the provider associated with the returned faulty part and agree to a compensation of over the predetermined period of time.
For example, taking the case of FIG. 1 (assuming only one supplier is involved), assuming a total of 300 faulty parts in the current year, 100 faulty parts are returned, with the supplier agree to a compensation of having the claim terms for 50 faulty parts, then the agree to a compensation of rate is 50%.
The method 500 may also include a step S502 of calculating a sum of actual claim values for claim items associated with all returned and agree to a compensation of faulty parts associated with the supplier during the predetermined period of time as a total actual claim value associated with the supplier during the predetermined period of time.
Also taking the case of FIG. 1 as an example (assuming only one vendor is involved), for the claim terms associated with the 50 failed parts returned and agree to a compensation of, the total actual claim value is calculated in terms of the historical compensation coefficients for the vendor. That is, the total actual claim value is calculated based on the material costs and the historical compensation coefficients for the 50 failed parts agree to a compensation of.
The method 500 may further include step S503 of calculating a product of the total reimbursement cost of all claim items associated with the provider for the predetermined period of time and the agree to a compensation of rate as a total reimbursement value associated with the provider for the predetermined period of time.
Also taking the case of fig. 1 as an example (assuming only one vendor is involved), for all 300 claim items (involving 100 actual returned faulty parts and 200 unreturned faulty parts), the total claim values for the 300 claim items are calculated based on the total costs of reimbursement for the 300 claim items (including the total cost of materials and the additional total cost) and the agree to a compensation of frequency (e.g., 50%) calculated at step S501.
The method 500 may also include step S504 in which a difference between the total applied claim value and the total actual claim value is calculated as a compensation differential associated with the provider for the predetermined period of time.
Also taking the case of FIG. 1 as an example, for the 300 claims items, the reimbursement differential associated with the provider in the current year can be obtained by subtracting the total actual claim value from the total applied claim value.
By calculating the compensation differential for the provider and claiming the compensation differential based thereon, the dealer eventually obtains a compensation amount that approximates the amount that all the faulty parts should actually be compensated for.
As described above, for convenience of description, it is assumed that 300 faulty parts in fig. 1 are all associated with only one supplier. Those skilled in the art will appreciate that if the 300 failed parts involve different suppliers, then for the different suppliers, the respective agree to a compensation of rates corresponding to the respective suppliers are calculated separately using the number of failed parts returned for the different suppliers and the number of failed parts for agree to a compensation of.
The method of the application reduces the cost of suppliers for processing fault parts, improves the processing efficiency, and further ensures that the final claim amount of distributors is as close as possible to the claim amount which should be generated actually, thereby ensuring the accuracy of the claim.
Fig. 6 is a schematic diagram illustrating a general hardware environment in which devices according to embodiments of the present disclosure may be implemented.
Referring now to FIG. 6, a schematic diagram of an example of a computing node 600 is shown. Computing node 600 is but one example of a suitable computing node and is not intended to suggest any limitation as to the scope of use or functionality of the embodiments described herein. Regardless, the computing node 600 is capable of implementing and/or performing any of the functions set forth above.
In computing node 600, there is a computer system/server 6012 that can operate in conjunction with a number of other general purpose or special purpose computing system environments or configurations. Examples of well known computing systems, environments, and/or configurations that may be suitable for use with computer system/server 6012 include, but are not limited to, personal computer systems, server computer systems, thin clients, thick clients, hand-held or laptop devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable consumer electronics, network PCs, minicomputers systems, mainframe computer systems, distributed cloud computing environments that include any of the above systems or devices, and the like.
Computer system/server 6012 may be described in the general context of computer-system-executable instructions, such as program modules, being executed by a computer system. Generally, program modules may include routines, programs, objects, components, logic, data structures, etc. that perform particular tasks or implement particular abstract data types. Computer system/server 6012 may be practiced in distributed cloud computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed cloud computing environment, program modules may be located in both local and remote computer system storage media including memory storage devices.
As shown in fig. 6, computer system/server 6012 in computing node 600 is shown in the form of a general purpose computing device. Components of computer system/server 6012 may include, but are not limited to, one or more processors or processing units 6016, a system memory 6028, and a bus 6018 that couples various system components including the system memory 6028 to the processing unit 6016.
Bus 6018 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus architectures. By way of example, and not limitation, such architectures include, but are not limited to, industry Standard Architecture (ISA) bus, micro channel architecture (MAC) bus, enhanced ISA bus, video Electronics Standards Association (VESA) local bus, peripheral Component Interconnect (PCI) bus, peripheral component interconnect express (PCIe), and Advanced Microcontroller Bus Architecture (AMBA).
Computer system/server 6012 typically comprises a variety of computer system-readable media. Such media can be any available media that is accessed by computer system/server 6012 and includes both volatile and nonvolatile media, removable and non-removable media.
The system memory 6028 may include computer system-readable media in the form of volatile memory, such as Random Access Memory (RAM) 30 and/or cache memory 6032. Computer system/server 6012 may also include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, a storage system 6034 may be provided for reading from and writing to non-removable, non-volatile magnetic media (not shown, and commonly referred to as a "hard disk drive"). Although not shown, a magnetic disk drive may be provided for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk"), and an optical disk drive may be provided for reading from and writing to a removable, nonvolatile optical disk such as a CD-ROM, DVD-ROM, or other optical media. In such cases, each may be coupled to bus 6018 by one or more data medium interfaces. As will be further depicted and described below, memory 6028 may include at least one program product having a set (e.g., at least one) of program modules configured to carry out the functions of embodiments of the disclosure.
By way of example, and not limitation, program/utility 6040 having a set (at least one) of program modules 6042 and an operating system, one or more application programs, other program modules, and program data may be stored in memory 6028. An operating system, one or more application programs, other program modules, and program data, or some combination thereof, may each include an implementation of a network environment. Program modules 6042 generally perform the functions and/or methods in the embodiments as described herein.
Computer system/server 6012 may also communicate with one or more external devices 6014 such as a keyboard, pointing device, display 6024, etc., one or more devices that enable a user to interact with computer system/server 6012, and/or any device (e.g., network card, modem, etc.) that enables computer system/server 6012 to communicate with one or more other computing devices. Such communication may occur via an input/output (I/O) interface 22. Also, computer system/server 6012 may communicate with one or more networks such as a Local Area Network (LAN), a general Wide Area Network (WAN), and/or a public network (e.g., the internet) via network adapter 20. As depicted, network adapter 20 communicates with other components of computer system/server 6012 via bus 6018. It should be appreciated that although not shown, other hardware and/or software components can be utilized in conjunction with computer system/server 6012. Examples include, but are not limited to, microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data archive storage systems, among others.
The present disclosure may be embodied as systems, methods, and/or computer program products. The computer program product may include a computer-readable storage medium(s) having computer-readable program instructions thereon for causing a processor to perform aspects of the present disclosure.
A computer readable storage medium may be a tangible device that can hold and store instructions for use by an instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. A non-exhaustive list of more specific examples of a computer-readable storage medium includes a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical encoding device such as a punch card or an in-groove protrusion structure having instructions stored thereon, and any suitable combination of the foregoing. A computer-readable storage medium, as used herein, is not to be construed as a transitory signal itself, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission medium (e.g., a pulse of light through a fiber optic cable), or an electrical signal transmitted through an electrical wire.
The computer readable program instructions described herein may be downloaded from a computer readable storage medium to individual computing/processing devices or over a network (e.g., the internet, a local area network, a wide area network, and/or a wireless network) to an external computer or external storage device. The network may include copper transmission cables, fiber optic transmissions, wireless transmissions, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives computer readable program instructions from the network and forwards these computer readable program instructions for storage in a computer readable storage medium in the respective computing/processing device.
Computer readable program instructions for performing the operations of the present disclosure may be assembly instructions, instruction Set Architecture (ISA) instructions, machine-dependent instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as SMALLTALK, C ++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (e.g., through the internet using an internet service provider). In some embodiments, the custom electronic circuit, including, for example, a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA), may be personalized by utilizing state information of computer readable program instructions that may be executed in order to perform aspects of the disclosure.
Aspects of the present 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 the disclosure. It will 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.
These computer readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer readable program instructions may also be stored in a computer readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer readable medium having the instructions stored therein includes an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowcharts and block diagrams in the figures 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 the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Those skilled in the art will also appreciate that the various operations illustrated in the order of execution in the embodiments of the disclosure are not necessarily performed in the order illustrated. The order of operations may be adjusted as desired by those skilled in the art. Those skilled in the art may add more operations or omit some of them as desired.
The description of the various embodiments of the present disclosure has been presented for purposes of illustration, but is not intended to be exhaustive or limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein was chosen to best explain the principles of the embodiments, the practical application, or the technical improvement of the technology found in the marketplace, or to enable others skilled in the art to understand the embodiments disclosed herein.
Claims (11)
1. A computer-implemented method, comprising:
Setting one or more parameter sets, wherein each parameter set comprises at least two of a supplier code, a fault code, a part number, a vehicle model, an engine model, an excluded part number, an excluded fault code, a production time of the vehicle, a maintenance time of the vehicle, a mileage and a dealer code;
Assigning a respective failed part return ratio and a respective counter to each parameter set, wherein the failed part return ratio for each parameter set indicates a ratio of a number of failed parts actually returned to the supplier to a total number of failed parts that should be returned to the supplier for that parameter set, and wherein the counter for each parameter set is to indicate that a failed part to which a claim term corresponding to a value of the counter for that parameter set relates is returned only when the value of the counter is an integer multiple of a reciprocal of the failed part return ratio;
For each claim item relating to a faulty part:
Determining a parameter set associated with the claim item, a fault part return proportion associated with the claim item and a counter value of the parameter set associated with the claim item based on a matching result of the information of the claim item and the parameter set, wherein when the matching result of the information of the claim item and the parameter set indicates that the claim item matches a plurality of parameter sets, one parameter set with highest matching degree is selected as the parameter set associated with the claim item;
Determining whether a faulty part related to the claim item is to be returned based on a faulty part return ratio associated with the claim item and a value of a counter of a parameter set associated with the claim item;
In response to determining that a faulty part to which the claim term relates is to be returned, claims are made to a supplier based on the claim term, wherein an actual claim value to be made from the supplier for the claim term is a product of a material cost of the faulty part to which the claim term relates and a historical compensation coefficient corresponding to the supplier of the faulty part, wherein the historical compensation coefficient is calculated by dividing a sum of compensation costs of all faulty parts associated with the supplier by a sum of material costs of all returned faulty parts associated with the supplier within a predetermined historical period.
2. The method of claim 1, further comprising:
The suppliers are assigned corresponding historical compensation coefficients, wherein the compensation cost for each failed part includes the material cost and additional cost for that failed part.
3. The method of claim 1, wherein a result of the matching of the information of the claim item with the parameter sets indicates that the claim item matches a plurality of parameter sets, the method further comprising:
and selecting one parameter set with the largest return proportion of the fault part as the parameter set associated with the claim project.
4. The method of claim 1, further comprising:
After determining the parameter set associated with the claim item, the value of the counter of the parameter set associated with the claim item is determined by incrementing the value of the counter of the parameter set by 1.
5. The method as recited in claim 1, further comprising:
a agree to a compensation of rate corresponding to a provider is calculated, wherein the agree to a compensation of rate is a ratio of a number of claim items associated with the provider associated with returned faulty parts over a predetermined period of time to a number of claim items associated with the provider associated with returned faulty parts and agree to a compensation of over the predetermined period of time.
6. The method as recited in claim 5, further comprising:
calculating a sum of actual claims values for claim items associated with all returned and agree to a compensation of faulty parts associated with the supplier for the predetermined period of time as a total actual claims value associated with the supplier for the predetermined period of time;
Calculating a product of a total cost of reimbursement for all claim items associated with the supplier for the predetermined period of time and the agree to a compensation of rate as a total reimbursement value associated with the supplier for the predetermined period of time, and
The difference between the total claimed value and the total actual claimed value is calculated as the compensation differential associated with the provider for the predetermined period of time.
7. The method of any of claims 1-6, wherein the step of claiming a provider based on the claim term further comprises:
Generating a claim bill for a plurality of claim items, the claim bill comprising an aggregate actual claim value for the plurality of claim items from a provider;
and sending the claim bill to a provider.
8. The method of any of claims 1-6, the step of claiming to a provider based on the claim term further comprising:
generating a claim bill for each claim item,
And sending the claim bill to a provider.
9. A computer system, comprising:
One or more processors, and
A memory coupled to the one or more processors, the memory storing computer-readable program instructions that, when executed by the one or more processors, cause the one or more processors to perform the method of any of claims 1-8.
10. A computer readable storage medium having stored thereon computer readable program instructions which, when executed by a processor, cause the processor to perform the method of any of claims 1-8.
11. A computer program product comprising computer readable program instructions which, when executed by a processor, cause the processor to perform the method of any of claims 1-8.
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| CN202110143458.2A CN114926184B (en) | 2021-02-02 | 2021-02-02 | Method, system and apparatus for optimizing the claims cost recovery process |
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Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105894297A (en) * | 2015-01-04 | 2016-08-24 | 上海通用汽车有限公司 | Automobile information association system |
Family Cites Families (46)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040138908A1 (en) * | 2000-03-29 | 2004-07-15 | Victor Lowe | Method for analyzing warranty claim data |
| US7953615B2 (en) * | 2000-04-03 | 2011-05-31 | Mitchell International, Inc. | System and method of administering, tracking and managing of claims processing |
| US7324951B2 (en) * | 2001-06-05 | 2008-01-29 | Renwick Glenn M | Method of processing vehicle damage claims |
| CN1403979A (en) * | 2001-08-30 | 2003-03-19 | 英业达股份有限公司 | A claim method for scrap materials |
| US20030171897A1 (en) * | 2002-02-28 | 2003-09-11 | John Bieda | Product performance integrated database apparatus and method |
| US20020128883A1 (en) * | 2002-05-03 | 2002-09-12 | Alexandra Harris | Integrated system for insurance claim management |
| US20040064345A1 (en) * | 2002-09-27 | 2004-04-01 | Ajamian Setrak A. | Internet claims handling services |
| JP2005004421A (en) * | 2003-06-11 | 2005-01-06 | Techmark Services Ltd | Repair examination system |
| US20070174652A1 (en) * | 2004-11-03 | 2007-07-26 | Electrolux Home Products, Inc. | Parts recovery method and system |
| US20070136106A1 (en) * | 2005-12-09 | 2007-06-14 | Gary Hart | Method and system of managing and administering automotive glass repairs and replacements |
| CA2580051A1 (en) * | 2007-03-01 | 2008-09-01 | Harmon Solutions Group, Llc | System and method for managing an insurance claim |
| US8447627B1 (en) * | 2007-10-17 | 2013-05-21 | Encoda LLC | Medical services claim management system and method |
| US20100145734A1 (en) * | 2007-11-28 | 2010-06-10 | Manuel Becerra | Automated claims processing system |
| US20090177499A1 (en) * | 2007-12-26 | 2009-07-09 | Steig Gunnar Westerberg | Method of and system for determining insurance claim losses |
| US20100023352A1 (en) * | 2008-07-23 | 2010-01-28 | The Crawford Group, Inc. | System and Method for Improved Information Sharing by Repair Facilities for Managing Rental Vehicle Reservations |
| KR101088895B1 (en) * | 2008-09-29 | 2011-12-07 | 사단법인 보험개발원 | Vehicle insurance integrated processing system and method |
| US8762180B2 (en) * | 2009-08-25 | 2014-06-24 | Accenture Global Services Limited | Claims analytics engine |
| US20150324924A1 (en) * | 2011-04-28 | 2015-11-12 | Allstate Insurance Company | Streamlined Claims Processing |
| WO2013176654A1 (en) * | 2012-05-22 | 2013-11-28 | Empire Technology Development, Llc | Insurance adjustment for cloud based services |
| US10387960B2 (en) * | 2012-05-24 | 2019-08-20 | State Farm Mutual Automobile Insurance Company | System and method for real-time accident documentation and claim submission |
| US11455691B2 (en) * | 2012-08-16 | 2022-09-27 | Allstate Insurance Company | Processing insured items holistically with mobile damage assessment and claims processing |
| US9002719B2 (en) * | 2012-10-08 | 2015-04-07 | State Farm Mutual Automobile Insurance Company | Device and method for building claim assessment |
| US20140310026A1 (en) * | 2013-04-12 | 2014-10-16 | The Travelers Indemnity Company | Systems, apparatus, and methods for customer-driven insurance claim management |
| CN103325007A (en) * | 2013-05-23 | 2013-09-25 | 大连液压件有限公司 | Assembly technology with product quality track and trace |
| CN103699392A (en) * | 2014-01-03 | 2014-04-02 | 深圳市道通科技有限公司 | Method and system for fast positioning of automobile diagnostic function |
| US20150213556A1 (en) * | 2014-01-30 | 2015-07-30 | Ccc Information Services | Systems and Methods of Predicting Vehicle Claim Re-Inspections |
| US20150178662A1 (en) * | 2014-05-28 | 2015-06-25 | Scott Osborn | Analyzing automotive inspections |
| US9218626B1 (en) * | 2015-02-25 | 2015-12-22 | Ccc Information Services Inc. | Automatic prediction and recommendation of parts, materials, and services for vehicle insurance claim estimates and supplements |
| WO2017185379A1 (en) * | 2016-04-29 | 2017-11-02 | 华为技术有限公司 | Method and device for estimating repair probability, server, terminal, and storage medium |
| US11769212B2 (en) * | 2016-06-08 | 2023-09-26 | Allstate Insurance Company | Predictive claims platform for managing repairs |
| IT201600068893A1 (en) * | 2016-07-01 | 2018-01-01 | Octo Telematics Spa | Processing system for dynamic insurance billing for vehicles. |
| KR20180048187A (en) * | 2016-11-02 | 2018-05-10 | 이인옥 | Automobile insurance company designated maintenance company network system |
| US11250515B1 (en) * | 2017-06-09 | 2022-02-15 | Liberty Mutual Insurance Company | Self-service claim automation using artificial intelligence |
| CN107688948A (en) * | 2017-07-24 | 2018-02-13 | 平安科技（深圳）有限公司 | Claims Resolution data processing method, device, computer equipment and storage medium |
| CN107705211A (en) * | 2017-11-10 | 2018-02-16 | 平安科技（深圳）有限公司 | A kind of adjustment method and apparatus of settlement of insurance claim case |
| CN108171699A (en) * | 2018-01-11 | 2018-06-15 | 平安科技（深圳）有限公司 | Setting loss Claims Resolution method, server and computer readable storage medium |
| US10482540B2 (en) * | 2018-02-02 | 2019-11-19 | Accenture Global Solutions Limited | Data translation |
| CN108805721A (en) * | 2018-04-08 | 2018-11-13 | 阿里巴巴集团控股有限公司 | A kind of insurance business data processing method, server and client |
| CN109035035A (en) * | 2018-06-12 | 2018-12-18 | 中国平安人寿保险股份有限公司 | The processing method and server of a kind of excellent dangerous declaration form of tax |
| CN109102206A (en) * | 2018-08-31 | 2018-12-28 | 深圳市轱辘汽车维修技术有限公司 | A kind of evaluation method and relevant device of Automobile Service Factory |
| CN109360110B (en) * | 2018-09-26 | 2024-04-26 | 平安健康保险股份有限公司 | Automatic calculation method, device, computer equipment and storage medium |
| CN109785165A (en) * | 2018-12-14 | 2019-05-21 | 中国平安财产保险股份有限公司 | Declaration form reparation method, apparatus and computer equipment based on data processing |
| CN110148058A (en) * | 2018-12-26 | 2019-08-20 | 华晨宝马汽车有限公司 | Identify the method and system of suspect vehicle Aftermarket Claims declaration form |
| CN109741077A (en) * | 2018-12-28 | 2019-05-10 | 上汽通用五菱汽车股份有限公司 | Aftermarket Claims settlement method, equipment and storage medium |
| CN110136001A (en) * | 2019-03-21 | 2019-08-16 | 阿里巴巴集团控股有限公司 | A kind of data processing method, calculates equipment and storage medium at device |
| CN112083244B (en) * | 2020-08-30 | 2022-10-28 | 西南电子技术研究所（中国电子科技集团公司第十研究所） | Integrated intelligent diagnosis system for faults of avionic equipment |
-
2021
- 2021-02-02 CN CN202110143458.2A patent/CN114926184B/en active Active
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105894297A (en) * | 2015-01-04 | 2016-08-24 | 上海通用汽车有限公司 | Automobile information association system |
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|---|---|
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