WO2019192101A1 - Procédé d'analyse de protection de client, dispositif électronique, et support d'informations lisible par ordinateur - Google Patents

Procédé d'analyse de protection de client, dispositif électronique, et support d'informations lisible par ordinateur Download PDF

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Publication number
WO2019192101A1
WO2019192101A1 PCT/CN2018/095278 CN2018095278W WO2019192101A1 WO 2019192101 A1 WO2019192101 A1 WO 2019192101A1 CN 2018095278 W CN2018095278 W CN 2018095278W WO 2019192101 A1 WO2019192101 A1 WO 2019192101A1
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WO
WIPO (PCT)
Prior art keywords
analysis
insurance
gap
amount
education
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PCT/CN2018/095278
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English (en)
Chinese (zh)
Inventor
彭青龙
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平安科技(深圳)有限公司
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Publication of WO2019192101A1 publication Critical patent/WO2019192101A1/fr

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0282Rating or review of business operators or products
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0631Item recommendations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/08Insurance

Definitions

  • the present application relates to the field of insurance technology, and in particular, to a method for forming a portrait of a salesperson of a customer security analysis method, an electronic device, and a computer readable storage medium.
  • the scheme for recommending insurance for customers is generally to query the customer history policy through the background, analyze the matching insurance plan, and push it to the customer for selection.
  • this customer security analysis method is not intelligent enough.
  • the data of this analysis method is based on the guarantee situation of only one insurance platform, and cannot truly reflect the actual needs of customers.
  • only historical insurance data is used for analysis. The data foundation does not reflect the current living conditions of the client or the future life expectancy.
  • the purpose of the application is to provide a customer security analysis method, an electronic device, and a computer readable storage medium, and to a certain extent overcome the problem that the insurance platform for the customer is not intelligent enough in the prior art, and the insurance platform is improved.
  • the customer recommends the fit of the insurance.
  • a customer security analysis method including the following steps:
  • the output guarantee analysis result includes a generation guarantee analysis table and a guarantee unit check matrix
  • the guarantee unit check matrix includes a list of the current insurance amount, the gap insurance amount and the ratio of the two according to each guarantee analysis.
  • the scale is presented in the form of a picture
  • the present application further provides an electronic device including a memory and a processor, where the memory is used to store a customer security analysis system executable by the processor, and the customer security analysis system includes:
  • Data grooming module for combing all policy information of the target customer
  • Data analysis module for safeguard analysis of all policy information, including annual daily expense analysis, child education expenditure analysis, liability analysis, critical illness gap analysis, accident protection gap analysis, and child education security gap analysis;
  • the output module is configured to output the result of the guarantee analysis, including generating a guarantee analysis table and a check-in matrix, and the check-in matrix includes the customer's current insured amount, the gap insurance amount, and the ratio of the two according to each guarantee analysis.
  • the ratio of the two is shown in the form of a picture;
  • the push module is used to push the guarantee analysis table and the guarantee check matrix to the target customer.
  • the present application further provides a computer readable storage medium having a customer security analysis system stored therein, the client security analysis system being executable by at least one processor to cause at least one processor to execute The following steps of the customer assurance analysis method:
  • the output guarantee analysis result includes a generation guarantee analysis table and a guarantee unit check matrix
  • the guarantee unit check matrix includes a list of the current insurance amount, the gap insurance amount and the ratio of the two according to each guarantee analysis.
  • the scale is presented in the form of a picture
  • the positive progress of this application is that when the target customer protection analysis or recommendation insurance products are carried out, the policy information of the target customers on each insurance platform is first sorted, and then the policy information is combined with the daily expenses of the customer, the education expenses of the children, and the liabilities.
  • Comprehensive analysis determine the target customer's critical illness gap, accident protection gap, children's education security gap, generate a safeguard analysis form and a guarantee unit check matrix to push to the customer for display, so that customers can intuitively know the current insured amount in the table.
  • the actual situation of the information such as the gap insurance amount and the ratio of the two.
  • FIG. 1 is an optional schematic flowchart of a customer security analysis method according to an embodiment of the present application
  • FIG. 2 is a schematic diagram of an optional program module of a customer security analysis system according to an embodiment of the present application
  • FIG. 3 is a schematic diagram of another optional program module of a customer security analysis system according to an embodiment of the present application.
  • FIG. 4 is a schematic diagram of still another optional program module of the customer security analysis system according to an embodiment of the present application.
  • FIG. 5 is a schematic diagram of an optional hardware architecture of an electronic device according to an embodiment of the present application.
  • FIG. 1 is an optional schematic flowchart of the customer security analysis method of the present application. As shown in FIG. 1 , the method may include the following steps S01-S04:
  • the target customer When combing the policy information of the target customer, it not only includes all the historical policies under the current insurance platform, but also needs to obtain the historical policy information of the target customers under other insurance platforms.
  • the target customers are selected in the current database. Different policy information under the platform, in the second database, the different policy information of the target customer under other insurance platforms is filtered; then, the selected policy information is extracted, and the attribute information corresponding to the specific field is obtained, and the policy card is generated. .
  • the specific field includes a policy relationship person field, a product name field, a security term field, a security content field, a payment field, and a receiving benefit mode field;
  • the attribute information corresponding to the policy related person field includes: the insured information, the insured person Information and beneficiary information;
  • the attribute information corresponding to the product name field includes: main insurance name and policy number information;
  • the attribute information corresponding to the guarantee period field includes: policy effective time information, policy guarantee period information; and attribute information corresponding to the guarantee content field includes : different insurance types and corresponding insurance amount information;
  • the attribute information corresponding to the payment field includes: unit time payment amount information, payment period information;
  • the collection benefit method field includes specific interest collection method information.
  • the first input interface includes a plurality of sub-input ports for receiving the daily expenditure amount of the corresponding attribute; and receiving the input education expenditure amount of the child through the second input interface, wherein The second input interface includes a plurality of sub-input ports for receiving the education expenditure amount corresponding to the child education expenditure corresponding attribute, and the child education expenditure corresponding attribute includes at least the pre-university education and the university education; and the input debt amount is received through the third input interface, wherein The third input interface includes a plurality of sub-input ports for receiving the liability amount of the corresponding attribute of the liability, and the liability corresponding attribute includes at least a car loan balance and a mortgage balance; and the amount received according to the first input interface, the second input interface, and the third input interface Determine the total daily expenses of the target customers, the total education expenses of the children, and the total liabilities.
  • the critical illness gap calculates the total daily expenditure in the first year limit threshold (for example, the next 5 years) based on the determined annual daily expenditure; obtain the critical illness insurance total insurance amount in all the policy information of the target customer;
  • the accident protection gap Calculate the total daily expenditure in the next second year threshold (for example, the next 10 years) based on the determined annual daily expenses, wherein the second year threshold is greater than the first year threshold;
  • the insurance policy has the total life insurance coverage;
  • the total insurance policy amount of all the policy information of the target customer is available; the child education security gap is calculated according to the determined total education expenditure of the child and the total amount of the existing education insurance obtained.
  • children's education security gap total education expenses of children - total insurance coverage of education insurance.
  • the output guarantee analysis result includes a generation guarantee analysis table and a guarantee unit check matrix
  • the guarantee unit check matrix includes a list of the current insurance amount, the gap insurance amount and the ratio of the two according to each guarantee analysis.
  • the scale is presented in the form of a picture
  • the foregoing protection analysis table includes a target customer basic information interface and a target customer security gap interface, wherein the target customer basic information interface includes an annual daily expenditure analysis, a child education expenditure analysis, and a liability analysis analysis result, and the target customer security gap interface includes Analysis of severe illness gap analysis, accident protection gap analysis, and analysis of children's education security gap.
  • the customer basic information and the customer security gap information are displayed in separate pages or displayed on different pages on the same page, which allows the customer to more intuitively see the current actual situation and the actual situation of the current security gap.
  • the guarantee unit checklist includes a list of the amount of insurance coverage, gap insurance, and the ratio of the two customers according to each guarantee analysis.
  • the specific implementation may include: the insurance coverage of the accident protection project, the gap insurance amount, and both.
  • Each protection item is displayed separately, and the user can visually see the situation of each item.
  • the proportion of the insurance amount and the gap insurance amount that the customer currently has is displayed in the form of a picture, which is more vivid and more intuitive. Customers have stronger visual impact and improve the success rate of insurance recommendations.
  • the policy information of the target customer on each insurance platform is first sorted, and then the policy information is combined with the customer's annual daily expenses, the child's education expenses, and the liabilities.
  • Comprehensive analysis of the situation determine the target customer's critical illness gap, accident protection gap, children's education security gap, generate a safeguard analysis table and a single check matrix to be pushed to the customer for display, so that customers can intuitively know what they currently have in the table.
  • the actual situation of information such as the amount of insurance, the amount of the gap, and the ratio of the two.
  • FIG. 2-4 shows an optional structural block diagram of the customer security analysis system.
  • the analysis system is partitioned into one or more program modules, one or more program modules being stored in a storage medium and executed by one or more processors to complete the application.
  • the program module referred to in the present application refers to a series of computer program instruction segments capable of performing a specific function, and is more suitable for describing the execution process of the customer security analysis system in the storage medium than the program itself. The following description will specifically describe each program module of the embodiment.
  • the customer support analysis system 20 includes:
  • the data grooming module 21 is configured to sort all policy information of the target customer
  • the data analysis module 22 is configured to perform security analysis on all policy information, including annual daily expenditure analysis, child education expenditure analysis, liability analysis, critical illness gap analysis, accident protection gap analysis, and child education security gap analysis;
  • the output module 23 is configured to output the result of the guarantee analysis, including generating a guarantee analysis table and a check-up check matrix, and the check-in matrix includes: listing each customer's current insurance amount, gap insurance amount, and the ratio of the two according to each guarantee analysis. The ratio of the two is shown in the form of a picture;
  • the pushing module 24 is configured to push the guarantee analysis table and the guarantee check matrix to the target customer.
  • the data grooming module 21 includes:
  • the screening unit 211 is configured to filter different policy information of the target customer under the current insurance platform in the first database, and filter different policy information of the target customer under other insurance platforms in the second database;
  • the generating unit 212 is configured to perform data extraction on the filtered policy information, obtain attribute information corresponding to the specific field, and generate a policy grooming table.
  • the specific field includes a policy relationship person field, a product name field, a guarantee period field, a guarantee content field, a payment field, and a receiving benefit mode field;
  • the attribute information corresponding to the policy related person field includes: the insured person information, the insured person information, and the benefit
  • the information information corresponding to the product name field includes: the main insurance name and the policy number information;
  • the attribute information corresponding to the guarantee period field includes: the policy effective time information, the policy guarantee period information;
  • the attribute information corresponding to the guarantee content field includes: different insurance Type and corresponding insurance quota information;
  • the attribute information corresponding to the payment field includes: unit time payment amount information, payment period information;
  • the collection benefit method field includes specific interest collection method information.
  • the data analysis module 22 includes:
  • the first receiving unit 221 is configured to receive the input annual daily expenditure amount through the first input interface, where the first input interface includes multiple sub-input ports for receiving the daily expenditure amount of the corresponding attribute;
  • the second receiving unit 222 is configured to receive the input education expenditure amount of the child through the second input interface, where the second input interface includes multiple sub-input ports for receiving the education expenditure amount corresponding to the child education expenditure corresponding attribute, and the child education expenditure corresponding to Attributes include at least pre-university education and university education;
  • the third receiving unit 223 is configured to receive the input debt amount through the third input interface, where the third input interface includes multiple sub-input ports for receiving the liability amount of the corresponding attribute of the liability, and the liability corresponding attribute includes at least the balance of the vehicle loan, Mortgage balance, other liabilities;
  • the determining unit 224 is configured to determine, according to the amount received by the first input interface, the second input interface, and the third input interface, the total annual expenditure of the target customer, the total amount of the child education expenditure, and the total liability.
  • the data analysis module 22 further includes:
  • the guarantee analysis table generated by the output module includes a target customer basic information interface and a target customer security gap interface, wherein the target customer basic information interface includes annual daily expenditure analysis, child education expenditure analysis, and debt analysis analysis results, and target customer protection.
  • the gap interface includes analysis of severe illness gap analysis, accident protection gap analysis, and analysis of children's education security gap analysis.
  • the matrix check matrix generated by the output module includes the insurance coverage, the gap insurance amount and the ratio of the two, according to each guarantee analysis.
  • the guarantee unit checklist specifically includes: the insurance coverage of the accident protection project, the gap guarantee The ratio of the amount and the two; the insured amount of the critical illness protection project, the gap insurance amount and the ratio of the two; the insurance coverage of the child education security project, the gap insurance amount and the ratio of the two; the insurance coverage of the old-age security, the gap insurance amount The ratio of the two; the amount of the wealth inheritance project, the amount of the gap, and the ratio of the two.
  • the policy information of the target customer on each insurance platform is first sorted, and then the policy information is combined with the customer's annual daily expenses, the child's education expenses, and the liabilities.
  • Comprehensive analysis of the situation determine the target customer's critical illness gap, accident protection gap, children's education security gap, generate a safeguard analysis table and a single check matrix to be pushed to the customer for display, so that customers can intuitively know what they currently have in the table.
  • the actual situation of information such as the amount of insurance, the amount of the gap, and the ratio of the two.
  • FIG. 5 is a schematic diagram of a hardware architecture of an embodiment of an electronic device according to the present application.
  • the electronic device 2 is an apparatus capable of automatically performing numerical calculation and/or information processing in accordance with an instruction set or stored in advance.
  • it can be a smartphone, a tablet, a laptop, a desktop computer, a rack server, a blade server, a tower server, or a rack server (including a stand-alone server, or a server cluster composed of multiple servers).
  • the electronic device 2 includes at least, but not limited to, a memory 21, a processor 22, a network interface 23, and a customer support analysis system 20 that are communicably coupled to each other through a system bus. among them:
  • the memory 21 includes at least one type of computer readable storage medium including a flash memory, a hard disk, a multimedia card, a card type memory (eg, SD or DX memory, etc.), a random access memory (RAM), a static random access memory. (SRAM), read only memory (ROM), electrically erasable programmable read only memory (EEPROM), programmable read only memory (PROM), magnetic memory, magnetic disk, optical disk, and the like.
  • the memory 21 may be an internal storage module of the electronic device 2, such as a hard disk or a memory of the electronic device 2.
  • the memory 21 may also be an external storage device of the electronic device 2, such as a plug-in hard disk equipped on the electronic device 2, a smart memory card (SMC), and a secure digital (Secure Digital, SD) card, flash card, etc.
  • the memory 21 can also include both an internal storage module of the electronic device 2 and an external storage device thereof.
  • the memory 21 is generally used to store an operating system installed in the electronic device 2 and various types of application software, such as program codes of the customer security analysis system 20. Further, the memory 21 can also be used to temporarily store various types of data that have been output or are to be output.
  • Processor 22 may be a Central Processing Unit (CPU), controller, microcontroller, microprocessor, or other data processing chip in some embodiments.
  • the processor 22 is typically used to control the overall operation of the electronic device 2, such as performing control and processing related to data interaction or communication with the electronic device 2.
  • the processor 22 is configured to execute program code or processing data stored in the memory 21, such as the running customer security analysis system 20 and the like.
  • the network interface 23 may comprise a wireless network interface or a wired network interface, which is typically used to establish a communication connection between the electronic device 2 and other electronic devices.
  • the network interface 23 is for connecting the electronic device 2 to an external terminal through a network, establishing a data transmission channel, a communication connection, and the like between the electronic device 2 and the external terminal.
  • the network can be an intranet, an Internet, a Global System of Mobile communication (GSM), a Wideband Code Division Multiple Access (WCDMA), a 4G network, a 5G network, Wireless or wired networks such as Bluetooth or Wi-Fi.
  • FIG. 5 only shows the electronic device with components 21-23, but it should be understood that not all illustrated components may be implemented and that more or fewer components may be implemented instead.
  • the customer security analysis system 20 stored in the memory 21 can also be divided into one or more program modules, one or more program modules being stored in the memory 21 and being processed by one or more processors. (This embodiment is processor 22) is executed to complete the application.
  • the embodiment further provides a computer readable storage medium.
  • the computer readable storage medium stores a customer security analysis system, and the customer security analysis system can be executed by at least one processor, so that at least one processor executes as in the first embodiment. The steps of the customer assurance analysis method.
  • the computer readable storage medium includes a flash memory, a hard disk, a multimedia card, a card type memory (eg, SD or DX memory, etc.), a random access memory (RAM), a static random access memory (SRAM), a read only memory (ROM), electrically erasable programmable read only memory (EEPROM), programmable read only memory (PROM), magnetic memory, magnetic disk, optical disk, and the like.
  • a computer readable storage medium may be an internal storage unit of a computer device, such as a hard disk or memory of the computer device.
  • the computer readable storage medium may also be an external storage device of a computer device, such as a plug-in hard disk equipped with the smart disk (SMC), Secure Digital (Secure Digital) , SD) card, flash card (Flash Card), etc.
  • the computer readable storage medium can also include both an internal storage unit of the computer device and an external storage device thereof.
  • the computer readable storage medium is generally used to store an operating system installed on a computer device and various types of application software, such as a program code of the customer security analysis system of the second embodiment.
  • the computer readable storage medium can also be used to temporarily store various types of data that have been output or are to be output.

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Abstract

L'invention concerne un procédé d'analyse de protection de client, comprenant les étapes consistant : à trier toutes les informations de police d'assurance d'un client cible (S01) ; à effectuer une analyse de protection sur toutes les informations de police d'assurance (S02), comprenant l'exécution d'une analyse de dépenses quotidiennes annuelles, une analyse de dépenses d'éducation des enfants, une analyse d'écart de maladie grave, une analyse d'écart de protection d'accident, et une analyse d'écart de protection d'éducation d'enfant ; à émettre un résultat d'analyse de protection, comprenant la génération d'une table d'analyse de protection et d'une table de matrice d'examen physique de police d'assurance (S03), la table de matrice d'examen physique de police d'assurance comprenant une couverture d'assurance actuellement possédée par le client, une couverture d'assurance d'espace, et une proportion de ces dernières qui sont listées en fonction de chaque analyse de protection, et la proportion de la couverture et de la couverture d'espace étant affichées sous une forme d'image ; et à pousser la table d'analyse de protection et la table de matrice d'examen physique de police d'assurance vers le client cible (S04). Un problème selon lequel une plateforme d'assurance n'est pas suffisamment intelligente en termes de mode d'analyse de protection pour un client est résolu, et un degré d'ajustement pour que la plateforme d'assurance recommande une assurance à un client est amélioré.
PCT/CN2018/095278 2018-04-04 2018-07-11 Procédé d'analyse de protection de client, dispositif électronique, et support d'informations lisible par ordinateur WO2019192101A1 (fr)

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CN201810301841.4 2018-04-04
CN201810301841.4A CN108537675A (zh) 2018-04-04 2018-04-04 客户保障分析方法、电子装置及计算机可读存储介质

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CN109285082A (zh) * 2018-09-25 2019-01-29 中国平安人寿保险股份有限公司 保险产品推荐方法、装置及计算机可读存储介质
CN109785039A (zh) * 2018-12-13 2019-05-21 中国平安人寿保险股份有限公司 信息推荐的装置、方法及存储介质
CN109785149A (zh) * 2018-12-13 2019-05-21 中国平安人寿保险股份有限公司 保障数据的分析装置、方法及存储介质

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110196705A1 (en) * 2010-02-10 2011-08-11 Caitlin Long System and method for termination of pension plan through mutual annuitization
CN107507093A (zh) * 2017-08-22 2017-12-22 深圳市慧择保险经纪有限公司 家庭客户保险需求的数据处理方法及装置
CN107578339A (zh) * 2017-09-11 2018-01-12 宁波市众鑫保网络技术有限公司 一种保险分析处理的方法及设备
CN107767275A (zh) * 2016-08-22 2018-03-06 平安科技(深圳)有限公司 保险资源需求分析方法和装置

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110196705A1 (en) * 2010-02-10 2011-08-11 Caitlin Long System and method for termination of pension plan through mutual annuitization
CN107767275A (zh) * 2016-08-22 2018-03-06 平安科技(深圳)有限公司 保险资源需求分析方法和装置
CN107507093A (zh) * 2017-08-22 2017-12-22 深圳市慧择保险经纪有限公司 家庭客户保险需求的数据处理方法及装置
CN107578339A (zh) * 2017-09-11 2018-01-12 宁波市众鑫保网络技术有限公司 一种保险分析处理的方法及设备

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