WO2024107153A1 - A system for assigning customers to agents in insurance sales transactions - Google Patents

A system for assigning customers to agents in insurance sales transactions Download PDF

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Publication number
WO2024107153A1
WO2024107153A1 PCT/TR2023/051333 TR2023051333W WO2024107153A1 WO 2024107153 A1 WO2024107153 A1 WO 2024107153A1 TR 2023051333 W TR2023051333 W TR 2023051333W WO 2024107153 A1 WO2024107153 A1 WO 2024107153A1
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Prior art keywords
customers
policy
data
database
server
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PCT/TR2023/051333
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French (fr)
Inventor
Ahmet Bozkurt
Original Assignee
Dogus Bilgi Islem Ve Teknoloji Hiz. A.S.
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Priority claimed from TR2022/017217 external-priority patent/TR2022017217A1/en
Application filed by Dogus Bilgi Islem Ve Teknoloji Hiz. A.S. filed Critical Dogus Bilgi Islem Ve Teknoloji Hiz. A.S.
Publication of WO2024107153A1 publication Critical patent/WO2024107153A1/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/08—Insurance
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06311—Scheduling, planning or task assignment for a person or group
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201—Market modelling; Market analysis; Collecting market data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201—Market modelling; Market analysis; Collecting market data
    • G06Q30/0202—Market predictions or forecasting for commercial activities
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201—Market modelling; Market analysis; Collecting market data
    • G06Q30/0204—Market segmentation

Definitions

  • the present invention relates to a system which enables to calculate the probability of customers to renew their insurance products in accordance with the data about customers to whom insurance products are offered and the data about insurance renewal habits of customers, and to assign customers to agents -who are responsible for sales transaction- for the insurance products to be sold in accordance with the calculated renewal probabilities.
  • Insurance products which cover different products or materials such as casco (auto insurance), traffic insurance, and earthquake insurance are offered to customers by companies in return for certain amounts of premium.
  • a renewal process is required so that the said policy and insurance product can become active again.
  • insurance companies transmit renewal offers to their customers through agents over online channels, text messages, e-mail or call center.
  • For the purpose of renewing their customers’ existing insurance insurance companies must follow up and get in contact with their customers through an employee.
  • companies In order to communicate with customers who are the holders of the insurance policies due for renewal, companies divide the number of existing policies by the number of employees and then distribute the resulting amount to the employees, however the said method of distribution is not fair.
  • an insurance company database stores information about insurance policies sold by insurance agents.
  • the database includes data fields such as policy coverage, limits, deductibles, the agent responsible for the sale or renewal, the date of purchase, dates of subsequent renewals, product and price of product sold, applicable automation services (for example, electronic billing, automatic electronic funds transfers, centralized customer service plan selections, etc.), customer information, customer payment history, or derivations thereof.
  • an insurance claims database also includes information related to claims of insurance policies such as descriptions of events causing insurance claims to be made, information about the entities involved, police reports, and witness statements.
  • a single database may be used for storing data from both the insurance company database and the insurance claims database.
  • a logical database may be stored in one or more physical data storage devices which may be co-located or located at different facilities.
  • the computerized predictive model is trained to classify an entity's website content as indicative of one or more industrial classifications by using the word count or word frequency data. Because of the large amount of data and large amount of potential industrial classifications, Bayesian classifiers, particularly Naive Bayes classifiers and hierarchical Bayesian models, are very suitable.
  • Suitable statistical classification methods also include random forests, random naive Bayes, Averaged One-Dependence Estimators (AODE), Monte Carlo methods, concept mining methods, latent semantic indexing, k-nearest neighbor algorithms, or any other suitable multiclass classifier.
  • the selection of the classifier can depend on the size of the training data set, the desired amount of computation, and the desired level accuracy.
  • An objective of the present invention is to realize a system which enables to calculate the probability of customers to renew their insurance products by analysing the data about customers to whom insurance products are offered and the data about insurance renewal habits of customers, and to assign customers -whose policy period is due- to agents who are responsible for sales transaction in accordance with the calculated renewal probabilities.
  • Figure l is a schematic view of the inventive system.
  • the inventive system (1) which enables to calculate the probability of customers to renew their insurance products by analysing the data about customers to whom insurance products are offered and the data about insurance renewal habits of customers, and to assign customers -whose policy period is due- to agents who are responsible for sales transaction in accordance with the calculated renewal probabilities, comprises at least one database (2) which is configured to keep record of data such as educational status, profession, city of residence, address in relation to customers; age or year of the policy product the customer has; start and expiration date of policy; the first insurance dealer where the policy was sold; and the renewal period of the policy; and at least one server (3) which is in communication with the database (2) and manages the database (2) and is configured to realize data exchange with external servers such as customer relationship management (A) module and save the obtained data in the database (2), to detect the customers whose policy period is due by being triggered at certain periods and to receive the data related to the said customers from the database (2) and then to analyse them, to determine a score for the probability of customers to renew their policy in accordance with the customer data analyzed, to sort the customers
  • the database (2) included in the inventive system (1) is in communication with the server (3) and configured to be managed by the server (3).
  • the said database (2) is configured to keep record of data such as educational status, profession, city of residence, address in relation to customers; age or year of the policy product the customer has; start and expiration date of policy; the first insurance dealer where the policy was sold; and the renewal period of the policy.
  • the said database (2) is configured to keep record of the employee information obtained from the CRM module (A) and data of working time such as information about the day or when employees are on leave.
  • the database (2) is configured to keep record of information about the score for the probability of customers to renew their policy calculated by the server (3) and information about the rate calculated for employees.
  • the server (3) included in the inventive system (1) is configured to establish communication with external servers such as the CRM module (A) providing information about employees and customers and to realize data exchange over this communication established, by using any remote communication protocol included in the state of art.
  • the server (3) is configured to manage the database (2) by means of transactions such as making a record of new data into the database (2), deleting the data recorded in the database (2) or changing the data recorded in the database (2) and updating the data recorded in the database (2).
  • the server (3) is configured to run at least one artificial intelligence that processes, analyses data automatically and improves itself.
  • the said server (3) is configured to detect customers whose policy period is due and/or about to be due and should be renewed by analysing the policy data of customers that is kept under record in the database (2) by means of an artificial intelligence running on itself, by being triggered at certain periods.
  • the server (3) is configured to receive data such as educational status, profession, city of residence, address in relation to customers; age or year of the policy product the customer has; start and expiration date of policy; the first insurance dealer where the policy was sold; and the renewal period of the policy from the database (2) for the data of policies due for renewal by means of an artificial intelligence running on itself and then analyse them and to calculate a score of policy renewal probability for customers.
  • the server (3) is configured to calculate a score of policy renewal probability for every month.
  • the server (3) is configured to sort the customers - whose policy renewal period is due- from the highest to the lowest score of renewal probability.
  • the server (3) is configured to sort the customers -who are sorted by the score of renewal probability- again in accordance with the expiration dates of customers’ policies and to save the list of sorted customers in the database (2).
  • the server (3) is configured to determine the eligible employees to whom customers -whose policy renewal period is due- can be assigned in accordance with the working days of employees by receiving the employee data and the off days of employees from the CRM module (A).
  • the said server (3) is configured to calculate a rate for each employee by dividing the number of customers assigned to the employees previously by the working day number of the employees in accordance with the data received from the CRM module (A).
  • the server (3) is configured to assign customers -who are included in the policy list of previously sorted customers- to the employee having the lowest rate respectively, in accordance with the score of renewal probability determined by means of the artificial intelligence running on itself and the rate calculated for the employees.
  • the server (3) is configured to update the information of assigned policy, customer and employee on the database (2).
  • a renewal process is started automatically in order that the said renewal can be reactivated upon the renewal periods of the policies which are valid within a certain period are due.
  • policy renewal probabilities of customers are calculated by the server (3) and it is ensured that a policy is prepared by taking the said probability into consideration and customers are distributed to employees automatically.

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Abstract

The present invention relates to a system (1) which enables to calculate the probability of customers to renew their insurance products in accordance with the data about customers to whom insurance products are offered and the data about insurance renewal habits of customers, and to assign customers to agents – who are responsible for sales transaction – for the insurance products to be sold in accordance with the calculated renewal probabilities.

Description

A SYSTEM FOR ASSIGNING CUSTOMERS TO AGENTS IN INSURANCE SALES TRANSACTIONS
Technical Field
The present invention relates to a system which enables to calculate the probability of customers to renew their insurance products in accordance with the data about customers to whom insurance products are offered and the data about insurance renewal habits of customers, and to assign customers to agents -who are responsible for sales transaction- for the insurance products to be sold in accordance with the calculated renewal probabilities.
Background of the Invention
Insurance products which cover different products or materials such as casco (auto insurance), traffic insurance, and earthquake insurance are offered to customers by companies in return for certain amounts of premium. Upon expiration of insurance policies specifying the scope of insurance products, a renewal process is required so that the said policy and insurance product can become active again. In renewal transactions, insurance companies transmit renewal offers to their customers through agents over online channels, text messages, e-mail or call center. For the purpose of renewing their customers’ existing insurance, insurance companies must follow up and get in contact with their customers through an employee. In order to communicate with customers who are the holders of the insurance policies due for renewal, companies divide the number of existing policies by the number of employees and then distribute the resulting amount to the employees, however the said method of distribution is not fair. Because the renewal probability of each customer is not the same and there may be great differences in the number of policies sold or renewed by employees. Due to the fact that insurance company employees earn premiums from the sales they make, an employee coinciding with customers who are likely to renew their policy gets a high premium, however an employee coinciding with customers who are unlikely to renew their policy gets a low premium.
Therefore, considering the studies and the deficiencies included in the state of art, it is understood that there is need for a system which enables to calculate the probability of customers -whose policies have expired- to renew their policy and then to assign customers to agents for renewal transactions in accordance with the calculated renewal probabilities.
The United States patent document no. US9830663B2, an application included in the state of the art, discloses a system and method for determination of an insurance evaluation based on an industrial classification. In the said invention, an insurance company database stores information about insurance policies sold by insurance agents. For each insurance policy, the database includes data fields such as policy coverage, limits, deductibles, the agent responsible for the sale or renewal, the date of purchase, dates of subsequent renewals, product and price of product sold, applicable automation services (for example, electronic billing, automatic electronic funds transfers, centralized customer service plan selections, etc.), customer information, customer payment history, or derivations thereof. Additionally, an insurance claims database also includes information related to claims of insurance policies such as descriptions of events causing insurance claims to be made, information about the entities involved, police reports, and witness statements. A single database may be used for storing data from both the insurance company database and the insurance claims database. A logical database may be stored in one or more physical data storage devices which may be co-located or located at different facilities. The computerized predictive model is trained to classify an entity's website content as indicative of one or more industrial classifications by using the word count or word frequency data. Because of the large amount of data and large amount of potential industrial classifications, Bayesian classifiers, particularly Naive Bayes classifiers and hierarchical Bayesian models, are very suitable. Suitable statistical classification methods also include random forests, random naive Bayes, Averaged One-Dependence Estimators (AODE), Monte Carlo methods, concept mining methods, latent semantic indexing, k-nearest neighbor algorithms, or any other suitable multiclass classifier. The selection of the classifier can depend on the size of the training data set, the desired amount of computation, and the desired level accuracy.
Summary of the Invention
An objective of the present invention is to realize a system which enables to calculate the probability of customers to renew their insurance products by analysing the data about customers to whom insurance products are offered and the data about insurance renewal habits of customers, and to assign customers -whose policy period is due- to agents who are responsible for sales transaction in accordance with the calculated renewal probabilities.
Detailed Description of the Invention
The “System for Assigning Customers to Agents in Insurance Sales Transactions” realized to fulfil the objective of the present invention is shown in the figure attached, in which:
Figure l is a schematic view of the inventive system.
The components illustrated in the figure are individually numbered, where the numbers refer to the following:
1. System
2. Database
3. Server A. Customer relationship management (CRM - Customer Relationship Management) module
The inventive system (1) which enables to calculate the probability of customers to renew their insurance products by analysing the data about customers to whom insurance products are offered and the data about insurance renewal habits of customers, and to assign customers -whose policy period is due- to agents who are responsible for sales transaction in accordance with the calculated renewal probabilities, comprises at least one database (2) which is configured to keep record of data such as educational status, profession, city of residence, address in relation to customers; age or year of the policy product the customer has; start and expiration date of policy; the first insurance dealer where the policy was sold; and the renewal period of the policy; and at least one server (3) which is in communication with the database (2) and manages the database (2) and is configured to realize data exchange with external servers such as customer relationship management (A) module and save the obtained data in the database (2), to detect the customers whose policy period is due by being triggered at certain periods and to receive the data related to the said customers from the database (2) and then to analyse them, to determine a score for the probability of customers to renew their policy in accordance with the customer data analyzed, to sort the customers -whose policy period is due- from the highest to the lowest renewal score, to determine a rate for each employee in accordance with the determined score, the data obtained from the customer relationship management (CRM) module (A) and data such as off days, and to ensure that customers are assigned to employees starting from the employee with the lowest rate by means of the sorting performed according to the customers’ renewal score.
The database (2) included in the inventive system (1) is in communication with the server (3) and configured to be managed by the server (3). The said database (2) is configured to keep record of data such as educational status, profession, city of residence, address in relation to customers; age or year of the policy product the customer has; start and expiration date of policy; the first insurance dealer where the policy was sold; and the renewal period of the policy. The said database (2) is configured to keep record of the employee information obtained from the CRM module (A) and data of working time such as information about the day or when employees are on leave. The database (2) is configured to keep record of information about the score for the probability of customers to renew their policy calculated by the server (3) and information about the rate calculated for employees.
The server (3) included in the inventive system (1) is configured to establish communication with external servers such as the CRM module (A) providing information about employees and customers and to realize data exchange over this communication established, by using any remote communication protocol included in the state of art. The server (3) is configured to manage the database (2) by means of transactions such as making a record of new data into the database (2), deleting the data recorded in the database (2) or changing the data recorded in the database (2) and updating the data recorded in the database (2). In one preferred embodiment of the invention, the server (3) is configured to run at least one artificial intelligence that processes, analyses data automatically and improves itself. The said server (3) is configured to detect customers whose policy period is due and/or about to be due and should be renewed by analysing the policy data of customers that is kept under record in the database (2) by means of an artificial intelligence running on itself, by being triggered at certain periods. The server (3) is configured to receive data such as educational status, profession, city of residence, address in relation to customers; age or year of the policy product the customer has; start and expiration date of policy; the first insurance dealer where the policy was sold; and the renewal period of the policy from the database (2) for the data of policies due for renewal by means of an artificial intelligence running on itself and then analyse them and to calculate a score of policy renewal probability for customers. In one preferred embodiment of the invention, the server (3) is configured to calculate a score of policy renewal probability for every month. The server (3) is configured to sort the customers - whose policy renewal period is due- from the highest to the lowest score of renewal probability. The server (3) is configured to sort the customers -who are sorted by the score of renewal probability- again in accordance with the expiration dates of customers’ policies and to save the list of sorted customers in the database (2). In one preferred embodiment of the invention, the server (3) is configured to determine the eligible employees to whom customers -whose policy renewal period is due- can be assigned in accordance with the working days of employees by receiving the employee data and the off days of employees from the CRM module (A). The said server (3) is configured to calculate a rate for each employee by dividing the number of customers assigned to the employees previously by the working day number of the employees in accordance with the data received from the CRM module (A). The server (3) is configured to assign customers -who are included in the policy list of previously sorted customers- to the employee having the lowest rate respectively, in accordance with the score of renewal probability determined by means of the artificial intelligence running on itself and the rate calculated for the employees. The server (3) is configured to update the information of assigned policy, customer and employee on the database (2).
Industrial Application of the Invention
With the inventive system (1), a renewal process is started automatically in order that the said renewal can be reactivated upon the renewal periods of the policies which are valid within a certain period are due. In the system (1), policy renewal probabilities of customers are calculated by the server (3) and it is ensured that a policy is prepared by taking the said probability into consideration and customers are distributed to employees automatically.
Within these basic concepts; it is possible to develop various embodiments of the inventive “System (1) for Assigning Customers to Agents in Insurance Sales Transactions”, the invention cannot be limited to examples disclosed herein and it is essentially according to claims.

Claims

CLAIMS A system (1) which enables to calculate the probability of customers to renew their insurance products by analysing the data about customers to whom insurance products are offered and the data about insurance renewal habits of customers, and to assign customers -whose policy period is due- to agents who are responsible for sales transaction in accordance with the calculated renewal probabilities; comprising at least one database (2) which is configured to keep record of data such as educational status, profession, city of residence, address in relation to customers; age or year of the policy product the customer has; start and expiration date of policy; the first insurance dealer where the policy was sold; and the renewal period of the policy; and characterized by at least one server (3) which is in communication with the database (2) and manages the database (2) and is configured to realize data exchange with external servers such as customer relationship management (A) module and save the obtained data in the database (2), to detect the customers whose policy period is due by being triggered at certain periods and to receive the data related to the said customers from the database (2) and then to analyse them, to determine a score for the probability of customers to renew their policy in accordance with the customer data analyzed, to sort the customers -whose policy period is due- from the highest to the lowest renewal score, to determine a rate for each employee in accordance with the determined score, the data obtained from the customer relationship management (CRM) module (A) and data such as off days, and to ensure that customers are assigned to employees starting from the employee with the lowest rate by means of the sorting performed according to the customers’ renewal score.
2. A system (1) according to Claim 1 ; characterized by the database (2) which is in communication with the server (3) and configured to be managed by the server (3).
3. A system (1) according to Claim 1 or 2; characterized by the database (2) which is configured to keep record of data such as educational status, profession, city of residence, address in relation to customers; age or year of the policy product the customer has; start and expiration date of policy; the first insurance dealer where the policy was sold; and the renewal period of the policy.
4. A system (1) according to any of the preceding claims; characterized by the database (2) which is configured to keep record of the employee information obtained from the CRM module (A) and data of working time such as information about the day or when employees are on leave.
5. A system (1) according to any of the preceding claims; characterized by the database (2) which is configured to keep record of information about the score for the probability of customers to renew their policy calculated by the server (3) and information about the rate calculated for employees.
6. A system (1) according to any of the preceding claims; characterized by the server (3) which is configured to establish communication with external servers such as the CRM module (A) providing information about employees and customers and to realize data exchange over this communication established, by using any remote communication protocol included in the state of art.
7. A system (1) according to any of the preceding claims; characterized by the server (3) which is configured to manage the database (2) by means of transactions such as making a record of new data into the database (2), deleting the data recorded in the database (2) or changing the data recorded in the database (2) and updating the data recorded in the database (2). A system (1) according to any of the preceding claims; characterized by the server (3) which is configured to run at least one artificial intelligence that processes, analyses data automatically and improves itself. A system (1) according to any of the preceding claims; characterized by the server (3) which is configured to detect customers whose policy period is due and/or about to be due and should be renewed by analysing the policy data of customers that is kept under record in the database (2) by means of an artificial intelligence running on itself, by being triggered at certain periods. A system (1) according to any of the preceding claims; characterized by the server (3) which is configured to receive data such as educational status, profession, city of residence, address in relation to customers; age or year of the policy product the customer has; start and expiration date of policy; the first insurance dealer where the policy was sold; and the renewal period of the policy from the database (2) for the data of policies due for renewal by means of an artificial intelligence running on itself and then analyse them and to calculate a score of policy renewal probability for customers. A system (1) according to Claim 10; characterized by the server (3) which is configured to calculate a score of policy renewal probability for every month. A system (1) according to any of the preceding claims; characterized by the server (3) which is configured to sort the customers -whose policy renewal period is due- from the highest to the lowest score of renewal probability.
13. A system (1) according to any of the preceding claims; characterized by the server (3) which is configured to sort the customers -who are sorted by the score of renewal probability- again in accordance with the expiration dates of customers’ policies and to save the list of sorted customers in the database (2).
14. A system (1) according to any of the preceding claims; characterized by the server (3) which is configured to determine the eligible employees to whom customers -whose policy renewal period is due- can be assigned in accordance with the working days of employees by receiving the employee data and the off days of employees from the CRM module (A).
15. A system (1) according to any of the preceding claims; characterized by the server (3) which is configured to calculate a rate for each employee by dividing the number of customers assigned to the employees previously by the working day number of the employees in accordance with the data received from the CRM module (A).
16. A system (1) according to any of the preceding claims; characterized by the server (3) which is configured to assign customers -who are included in the policy list of previously sorted customers- to the employee having the lowest rate respectively, in accordance with the score of renewal probability determined by means of the artificial intelligence running on itself and the rate calculated for the employees.
17. A system (1) according to Claim 16; characterized by the server (3) which is configured to update the information of assigned policy, customer and employee on the database (2).
PCT/TR2023/051333 2022-11-15 2023-11-15 A system for assigning customers to agents in insurance sales transactions WO2024107153A1 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
TR2022017217 2022-11-15
TR2022/017217 TR2022017217A1 (en) 2022-11-15 A SYSTEM THAT ALLOWS EMPLOYEES TO ASSIGN CUSTOMERS IN INSURANCE SALES TRANSACTIONS

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WO2018205706A1 (en) * 2017-05-10 2018-11-15 平安科技（深圳）有限公司 Insurance policy distributing record query method, apparatus and device, and storage medium
KR20200141955A (en) * 2019-06-11 2020-12-21 이다커뮤니케이션즈(주) Insurance agent matching server and matching method using persona model
CN113689141A (en) * 2021-09-09 2021-11-23 深圳新致软件有限公司 Method, system and equipment for distributing insurance salesman customer list based on clustering algorithm

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