CN111538915A - Allocation method and device for orphan insurance policy, computer equipment and storage medium - Google Patents

Allocation method and device for orphan insurance policy, computer equipment and storage medium Download PDF

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CN111538915A
CN111538915A CN202010221678.8A CN202010221678A CN111538915A CN 111538915 A CN111538915 A CN 111538915A CN 202010221678 A CN202010221678 A CN 202010221678A CN 111538915 A CN111538915 A CN 111538915A
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吕锡勋
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Ping An Life Insurance Company of China Ltd
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Abstract

The application relates to the field of pedestal operation and maintenance, and discloses a distribution method, a device, computer equipment and a storage medium for an orphan policy, wherein the method comprises the following steps: acquiring an orphan policy, acquiring administrative region information from the orphan policy, and inquiring in a database according to the administrative region information to acquire information of a salesman; inputting the information of the salesman into a preset effective salesman screening model to obtain the probability of receiving the orphan insurance policy by the salesman, and screening according to the probability to obtain the effective salesman; sequentially assigning the orphan policies to the active agents. The method and the system can improve the engagement degree between the orphan insurance policy and the salesman, effectively improve the utilization rate of the orphan insurance policy and improve the renewal rate.

Description

Allocation method and device for orphan insurance policy, computer equipment and storage medium
Technical Field
The present application relates to the field of pedestal operation and maintenance, and in particular, to a method and an apparatus for allocating an orphan policy, a computer device, and a storage medium.
Background
The orphan policy refers to a policy that a salesperson needs to arrange for follow-up service additionally because an original insurance agent leaves the job, the basic principle of the allocation rule of the orphan policy is to allocate high-quality service personnel to the orphan policy, and the situation of the orphan policy frequently happens because the mobility of the insurance agent is large.
At present, when the orphan insurance policy is distributed, manual distribution is carried out, so the efficiency is low, in addition, in the process of distributing the orphan insurance policy, the problem of information matching between the information of the salesman and the information in the orphan insurance policy is not considered, so the salesman is easily distributed to the insurance policy which is not matched with the salesman, the service efficiency is low, and the loss is brought to enterprises.
Disclosure of Invention
The utility model aims to provide a distribution method, device, computer equipment and storage medium of orphan policy, through modeling the personal information data of the salesman, utilize the logistic regression algorithm to obtain the probability that the salesman receives the orphan policy, and carry out the distribution of orphan policy according to the probability, the distribution method of orphan policy realized through this mode can improve the degree of agreeing between orphan policy and the salesman, and effectively improve the rate of utilization of orphan policy, and improve the rate of continuous guaranty.
In order to achieve the above purpose, the present disclosure provides a method and an apparatus for allocating an orphan policy, a computer device, and a storage medium.
The application discloses a distribution method of an orphan policy, which comprises the following steps:
acquiring an orphan policy, acquiring administrative region information from the orphan policy, and inquiring in a database according to the administrative region information to acquire information of a salesman;
inputting the information of the salesman into a preset effective salesman screening model to obtain the probability of receiving the orphan insurance policy by the salesman, and screening according to the probability to obtain the effective salesman;
sequentially assigning the orphan policies to the active agents.
Preferably, the querying in the database according to the administrative region information, and obtaining the salesman information includes:
according to the service range of the salesman and the administrative region information, sequentially performing matching query on all the salesmen;
and if the service range of any operator is matched with the geographical region information, acquiring the information of the operator, and caching the information of the operator.
Preferably, after querying the database according to the administrative region information and obtaining the information of the salesman, the method further includes:
acquiring an adequacy service type from the salesman information, and matching the adequacy service type with the service type in the orphan policy;
and caching the salesman information matched with the service type in the orphan insurance policy.
Preferably, the inputting the salesman information into a preset effective salesman screening model, and the obtaining the probability of receiving the orphan policy by the salesman includes:
filling missing data in the original data in the salesman information to obtain complete original data, and performing noise point processing on the complete original data to obtain cleaning data;
and inputting the cleaning data into a preset effective salesman screening model to obtain the probability of receiving the orphan insurance policy by the salesman.
Preferably, the inputting the salesman information into a preset effective salesman screening model to obtain the probability of receiving the orphan policy by the salesman, and screening according to the probability to obtain the effective salesman includes:
creating an efficient salesman screening model, said efficient salesman screening model comprising a function
Figure BDA0002426321580000031
Wherein theta isTIs a matrix of coefficients, θT=(θ1,θ2)Tθ is a weight coefficient, X is a feature matrix, and X ═ X1,x2)TAnd x is a characteristic, fitting is carried out through linear regression to obtain the optimal thetaTA coefficient matrix;
will be used inInputting the salesman information into the effective salesman screening model according to the fitted salesman information
Figure BDA0002426321580000032
And obtaining the probability of receiving the orphan insurance policy by the salesman, and screening according to the probability to determine the effective salesman.
Preferably, said assigning said orphan policies to said active clerks in turn comprises:
sequencing the effective salesmen according to the probability of receiving the orphan insurance policy of the salesmen;
and sequentially distributing the orphan insurance policies to the active service personnel from high to low.
Preferably, said assigning said orphan policies to said active clerks in turn comprises:
inquiring and acquiring the order output record information of the effective salesman in a database, inquiring and acquiring first business type order output record information and second business type order output record information in the order output record information, and counting the ratio of the first business type order output record and the second business type order output record;
acquiring an upper distribution limit of an orphan policy of an effective salesman, and sequentially distributing the orphan policy to the effective salesman according to the service type of the orphan policy until the distribution ratio of the orphan policy reaches the ratio of the first service type order-out record or the second service type order-out record.
The application also discloses a distribution device of orphan's insurance policy, the device includes:
the acquisition module is used for acquiring an orphan policy, acquiring administrative region information from the orphan policy, and inquiring in a database according to the administrative region information to acquire salesman information;
the screening module is used for inputting the salesman information into a preset effective salesman screening model to obtain the probability of receiving the orphan policy of the salesman, and screening according to the probability to obtain an effective salesman;
and the distribution module is used for sequentially distributing the orphan insurance policy to the effective salesman.
The application also discloses a distribution device of the orphan policy, which comprises a memory and a processor, wherein the memory stores computer readable instructions, and the computer readable instructions, when executed by one or more processors, cause one or more processors to execute the distribution method of the orphan policy.
The application also discloses a computer readable storage medium which can be read and written by a processor, the storage medium stores computer instructions, and when the computer readable instructions are executed by one or more processors, the one or more processors can be used for executing the distribution method of the orphan insurance policy.
The beneficial effect of this application is: according to the method, personal information data of the salesman are modeled, the probability of receiving the orphan policy by the salesman is obtained through a logistic regression algorithm, the orphan policy is distributed according to the probability, and the method for distributing the orphan policy is realized through the method, so that the appropriateness between the orphan policy and the salesman can be improved, the utilization rate of the orphan policy is effectively improved, and the rate of renewal is improved.
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FIG. 1 is a schematic flow chart diagram illustrating a method for assigning an orphan policy according to a first embodiment of the present application;
FIG. 2 is a schematic flow chart diagram illustrating a method for assigning an orphan policy according to a second embodiment of the present application;
FIG. 3 is a schematic flow chart diagram illustrating a method for assigning an orphan policy according to a third embodiment of the present application;
FIG. 4 is a schematic flow chart illustrating a method for assigning an orphan policy according to a fourth embodiment of the present application;
FIG. 5 is a schematic flow chart diagram illustrating a method for assigning an orphan policy according to a fifth embodiment of the present application;
FIG. 6 is a schematic flow chart diagram illustrating a method for assigning an orphan policy according to a sixth embodiment of the present application;
FIG. 7 is a schematic flow chart diagram illustrating a method for assigning an orphan policy according to a seventh embodiment of the present application;
fig. 8 is a schematic structural diagram of a distribution device for an orphan policy according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
Fig. 1 shows a flow of a method for allocating an orphan policy according to a first embodiment of the present application, where the embodiment includes the following steps:
step s101, acquiring an orphan policy, acquiring administrative region information from the orphan policy, and inquiring in a database according to the administrative region information to acquire salesman information;
specifically, in this step, an orphan policy is first obtained, where the orphan policy may be one or multiple, and the orphan policy includes information of clients, service types, administrative areas, and the like, so that after the orphan policy is obtained, information in each orphan policy may be obtained, and after information of an administrative area in each orphan policy is obtained, the information of the administrative area is collected and may be queried in a database according to the information of the administrative area, where the database is used to store information of staff and policy information, so that corresponding information of staff may be obtained, where the corresponding relationship is that information of the staff is matched with the administrative area, and the information of the staff is a set of the queried staff, so as to further screen the staff.
Step s102, inputting the information of the salesman into a preset effective salesman screening model to obtain the probability of receiving the orphan policy of the salesman, and screening according to the probability to obtain an effective salesman;
specifically, in this step, after obtaining the salesman information, the salesman information may be input into a preset effective salesman screening model for calculation, the effective salesman screening model is pre-constructed and may be trained according to the salesman information, so as to obtain the probability that each salesman receives the orphan policy, and perform screening according to the probability to obtain effective salesman, where the effective salesman is a salesman capable of performing orphan policy distribution.
Step s103, sequentially distributing the orphan insurance policy to the effective salespersons;
specifically, in this step, after obtaining the valid clerks, the orphan policy can be sequentially assigned to the valid clerks, the assignment may be performed in a manner of sequentially and evenly assigning according to a service type, or may be performed in a cumulative assignment manner, where the average assignment manner includes that each valid clerk assigns equal orphan policies, and the cumulative assignment manner includes setting an upper limit of the orphan policies of the valid clerks, and then arbitrarily assigning to the valid clerks until the upper limit of the orphan policies of the valid clerks is reached, and then performing assignment of the next valid clerk.
In the embodiment, the personal information data of the salesman is modeled, the probability of receiving the orphan policy by the salesman is obtained by using the logistic regression algorithm, and the orphan policy is distributed according to the probability.
Fig. 2 is a schematic flow chart of an allocation method of an orphan policy according to a second embodiment of the present application, where as shown in the drawing, the step s101 of querying in a database according to the administrative region information to obtain the information of the salesman includes:
step s201, sequentially performing matching query on all the salesmen according to the service range of the salesmen and the administrative region information;
specifically, the administrative region includes an insurance application region of the orphan policy, and after the orphan policy is obtained, the insurance application region, that is, the administrative region is obtained through field query; the service scope of the operator is original data, namely, the service scope is preset in the system, after the administrative region is obtained, matching query can be sequentially carried out on all operators in the database according to the service scope of the operator and the administrative region, for example, the administrative region of the orphan policy is shanghai, and if the service scope of the operator is shanghai, the operator is matched with the orphan policy.
Step s202, if the service range of any operator is matched with the geographical area information, acquiring the information of the operator, and caching the information of the operator.
Specifically, the matching query is a traversal query of all the operators in the system, and if the service range of any operator is matched with the administrative region, the operator can be recorded, the information of the operator is obtained, and the information of the operator is temporarily cached in a database for subsequent screening and distribution.
In this embodiment, the information of the salesperson is obtained by matching and querying the service range of the salesperson and the policy-preserving administrative region, so that the querying efficiency can be improved, and the efficiency of orphan policy distribution can be improved.
Fig. 3 is a schematic flow chart of an allocation method of an orphan policy according to a third embodiment of the present application, where as shown in the drawing, the step s101, after querying in a database according to the administrative region information and obtaining information of a salesman, further includes:
step s301, obtaining an adequacy service type from the salesman information, and matching the adequacy service type with the service type in the orphan policy;
specifically, after the information of the salesman is obtained through the preliminary query of the administrative region, screening can be performed according to the service type; the method comprises the steps of firstly obtaining the adequacy service type of the salesman from inquired salesman information, wherein the adequacy service type can be stored in personal information of the salesman in advance, inquiring and obtaining through fields, then obtaining the service type in the orphan insurance policy, and matching the adequacy service type of the salesman with the service type of the orphan insurance policy.
Step s302, caching the salesman information matched with the service type in the orphan policy.
Specifically, after matching the adequacy service type of the salesman with the service type of the orphan insurance policy, if the salesman matched with the service type in the orphan insurance policy is found, the information of the salesman is cached, the nonmatched salesman does not need to be cached, and the cached salesman information is used for inputting a preset model for further screening, so that an effective salesman is obtained.
In the embodiment, more accurate data can be obtained by further screening the service types of the information of the service staff, and the efficiency of obtaining effective service staff is improved.
Fig. 4 is a schematic flow chart of an allocation method of an orphan policy according to a fourth embodiment of the present application, where as shown in the step s102, inputting the salesman information into a preset effective salesman screening model to obtain a probability that the salesman receives the orphan policy, including:
step s401, filling missing data in the original data in the salesman information to obtain complete original data, and performing noise point processing on the complete original data to obtain cleaning data;
specifically, in this step, first, missing data may be filled in raw data in the staff information, where the raw data includes staff-related information stored in the system, for example, data such as personal identity information, admission time, training record, order-issuing record, service score, price-inquiring record, orphan order service will, and the like; the data padding comprises the steps of supplementing partial missing data by means of methods such as mean values and probabilities to ensure the integrity of all original data, and after the original data are padded, carrying out noise point processing on abnormal values existing in the data to obtain complete cleaning data which can be used for a data model, wherein the noise point data mean that a certain field of certain data is obviously higher than an average value and is not in a reasonable range, in short, the missing data in the original data need to be padded, for example, if the value of a certain field is null, the value needs to be padded, and unreasonable values are modified, for example, the value interval of a certain field is between A and B, if the value exceeds the interval of A and B, abnormality occurs, and the value needs to be changed into the interval.
And step s402, inputting the cleaning data into a preset effective salesman screening model to obtain the probability of receiving the orphan insurance policy by the salesman.
Specifically, after the original data in the salesman information is processed to obtain cleaning data, the cleaning data can be input into a preset effective salesman screening model for calculation, and the probability of receiving the orphan policy by the salesman is obtained.
In the embodiment, the original data is cleaned, and effective service personnel are screened in the cleaned data, so that the accuracy of policy allocation can be improved.
Fig. 5 is a schematic flow chart of an allocation method of an orphan policy according to a fifth embodiment of the present application, as shown in the drawing, in step s102, inputting the salesman information into a preset valid salesman screening model to obtain a probability that the salesman receives the orphan policy, and performing screening according to the probability to obtain a valid salesman, including:
step s501, creating an effective salesman screening model, wherein the effective salesman screening model comprises a function
Figure BDA0002426321580000091
Wherein theta isTIs a coefficient momentArray, thetaT=(θ1,θ2)Tθ is a weight coefficient, X is a feature matrix, and X ═ X1,x2)TAnd x is a characteristic, fitting is carried out through linear regression to obtain the optimal thetaTA coefficient matrix;
specifically, in this step, an active attendant screening model may first be created, which includes a function
Figure BDA0002426321580000092
The function is a sigmod function, P is an output probability, which is the probability that the attendant is eligible to receive an orphan policy, where θTIs a matrix of coefficients, θT=(θ1,θ2)Tθ is a weight coefficient, X is a feature matrix, and X ═ X1,x2)TAnd x is a characteristic, wherein in an initial state, theta in the coefficient matrix is endowed with an initial value, but the initial value is not an optimal value, so fitting can be performed through linear regression, a predicted error A can be obtained in the fitting process, an error B can be obtained through calculation of historical data, and optimal fitting can be performed through continuously closing the error A to the error B to obtain the optimal theta.
Step s502, inputting the information of the salesman into the effective salesman screening model, and according to the fitted information
Figure BDA0002426321580000093
And obtaining the probability of receiving the orphan insurance policy by the salesman, and screening according to the probability to determine the effective salesman.
Specifically, in this step, after the function after the optimization fitting is obtained, the salesman information may be input into the valid salesman screening model, the probability of receiving the orphan policy by the salesman is obtained according to the function, then screening is performed according to the probability to obtain the valid salesman, and the screening mode may be, for example, a probability threshold may be preset first, the salesman higher than the probability threshold is the valid salesman, the salesman not higher than the probability threshold is the invalid salesman, and the invalid salesman cannot allocate the orphan policy according to the level of the probability.
In the embodiment, the probability is continuously fitted and calculated by constructing the sigmod function, so that the effective salesman is determined, and the accuracy of policy assignment can be improved.
Fig. 6 is a flowchart illustrating a method for allocating an orphan policy according to a sixth embodiment of the present application, where as shown in the step s103, sequentially allocating the orphan policy to the active salespersons includes:
step s601, ordering the effective salesman according to the probability of receiving the orphan insurance policy of the salesman;
specifically, after the valid clerks are obtained, the valid clerks can be arranged in sequence according to the probability of receiving the orphan policy by the clerks.
And step s602, sequentially allocating the orphan insurance policy to the active salespersons from high to low.
Specifically, after the valid clerks are arranged in sequence, the orphan policy can be sequentially assigned to the valid clerks in a sequence from high to low, and the assignment can be performed in an average assignment manner in step s103, or in an accumulated assignment manner in step s103, until the orphan policy is assigned.
In this embodiment, the effective salesmen are sorted by the probability, and the orphan policy is assigned to the effective salesmen in sequence, so that the matching degree between the orphan policy and the salesmen can be improved.
Fig. 7 is a flowchart illustrating a method for allocating an orphan policy according to a seventh embodiment of the present application, where as shown in the step s103, allocating the orphan policy to the active clerks in sequence includes:
step s701, inquiring and acquiring the order output record information of the effective salesman in a database, inquiring and acquiring first business type order output record information and second business type order output record information in the order output record information, and counting the ratio of the first business type order output record and the second business type order output record;
specifically, in this step, the order record of the valid salesperson includes the historical service record of the salesperson, the service includes a first type service and a second type service, the order record comprises a first service type order record and a second service type order record, then, the first business type order record information and the second business type order record information are respectively inquired in the order record to obtain the total number of the first business type order record and the second business type order record, the ratio of the first service type order record and the ratio of the second service type order record can be further obtained through the total number of the first service type order record and the total number of the second service type order record, in practical applications, the first service type service includes a personal life insurance service, and the second service type service includes an extension service.
Step s702, obtaining an upper distribution limit of an orphan policy of an effective operator, and sequentially distributing the orphan policy to the effective operator according to the service type of the orphan policy until the distribution duty ratio of the orphan policy reaches the duty ratio of the first service type order-out record or the second service type order-out record.
Specifically, in this step, each orphan policy also contains a service type, and the allocation amount of the orphan policy of each active salesperson also has an upper limit, that is, each active salesperson allocates a maximum of several orphan policies, so as to avoid the situation that any salesperson allocates too many orphan policies; after the occupation ratio of the first service type order-giving record and the occupation ratio of the second service type order-giving record are obtained, the orphan policy can be distributed to the effective service staff according to the orphan policy service type, the distribution mode can be performed according to the occupation ratio of the first service type order-giving record and the occupation ratio of the second service type order-giving record, for example, assuming that a service staff can distribute 10 orphan policies at most, the occupation ratio of the first service type order-giving record of the service staff is 40%, the occupation ratio of the second service type order-giving record is 60%, since the occupation ratio of the second service type order-giving record is greater than that of the first service type order-giving record, the orphan policy of the second service type service is firstly distributed to the effective service staff until the occupation ratio of the orphan policy of the second service type service reaches the occupation ratio in the order-giving record, that is, if there are 6 orphan policies of the second service type service in 10 policies, then the orphan policy of the first service type service can be allocated, and if the proportion of the orphan policy of the first service type service also reaches the proportion in the policy record or reaches the upper limit of the allocation of the orphan policy, the valid service staff does not allocate the orphan policy any more.
In this embodiment, the orphan policy is distributed according to the proportion condition of the business records of the business staff, so that the allocation efficiency of the orphan policy can be improved, and the condition that the policy is unevenly allocated is avoided.
Fig. 8 shows a structure of a distribution device for an orphan policy according to an embodiment of the present application, which includes:
an acquisition module 801, a screening module 802 and a distribution module 803; the acquisition module 801 is connected with the screening module 802, and the screening module 802 is connected with the distribution module 803; the obtaining module 801 is configured to obtain an orphan policy, obtain administrative region information from the orphan policy, perform query in a database according to the administrative region information, and obtain information of a salesman; the screening module 802 is configured to input the salesman information into a preset effective salesman screening model, obtain a probability that the salesman receives the orphan policy, and perform screening according to the probability to obtain an effective salesman; the assigning module 803 is configured to assign the orphan policy to the active clerks in turn.
The embodiment of the application also discloses a distribution device of the orphan insurance policy, which comprises a memory and a processor, wherein the memory is stored with computer readable instructions, and when the computer readable instructions are executed by one or more processors, the one or more processors are enabled to execute the distribution method of the orphan insurance policy in the above embodiments.
The embodiment of the application also discloses a computer-readable storage medium, which can be read and written by a processor, wherein the memory stores computer-readable instructions, and the computer-readable instructions, when executed by one or more processors, enable the one or more processors to execute the allocation method of the orphan policy in the above embodiments.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the computer program is executed. The storage medium may be a non-volatile storage medium such as a magnetic disk, an optical disk, a Read-Only Memory (ROM), or a Random Access Memory (RAM).
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (10)

1. A method of assigning an orphan policy, the method comprising:
acquiring an orphan policy, acquiring administrative region information from the orphan policy, and inquiring in a database according to the administrative region information to acquire information of a salesman;
inputting the information of the salesman into a preset effective salesman screening model to obtain the probability of receiving the orphan insurance policy by the salesman, and screening according to the probability to obtain the effective salesman;
sequentially assigning the orphan policies to the active agents.
2. The orphan policy distribution method of claim 1, wherein said querying in a database according to said administrative region information to obtain attendant information comprises:
according to the service range of the salesman and the administrative region information, sequentially performing matching query on all salesmen in the database;
and if the service range of any operator is matched with the geographical region information, acquiring the information of the operator, and caching the information of the operator.
3. The method for assigning an orphan policy according to claim 2, wherein after querying the database according to the administrative region information and obtaining the information of the service staff, the method further comprises:
acquiring an adequacy service type from the salesman information, and matching the adequacy service type with the service type in the orphan policy;
and caching the salesman information matched with the service type in the orphan insurance policy.
4. The method of claim 3, wherein said entering of said attendant information into a pre-set active attendant screening model, obtaining an attendant probability of receiving an orphan insurance policy comprises:
filling missing data in the original data in the salesman information to obtain complete original data, and performing noise point processing on the complete original data to obtain cleaning data;
and inputting the cleaning data into a preset effective salesman screening model to obtain the probability of receiving the orphan insurance policy by the salesman.
5. The method for assigning orphan insurance policy of claim 4, wherein said inputting said attendant information into a preset screening model of valid attendants to obtain the probability of receiving orphan insurance policy of attendant, and performing screening according to said probability to obtain valid attendant comprises:
creating an efficient salesman screening model, said efficient salesman screening model comprising a function
Figure FDA0002426321570000021
Wherein theta isTIs a matrix of coefficients, θT=(θ1,θ2)Tθ is a weight coefficient, X is a feature matrix, and X ═ X1,x2)TAnd x is a characteristic, fitting is carried out through linear regression to obtain the optimal thetaTA coefficient matrix;
inputting the information of the salesman into the effective salesman screening model according to the fitted information
Figure FDA0002426321570000022
And obtaining the probability of receiving the orphan insurance policy by the salesman, and screening according to the probability to determine the effective salesman.
6. The method of assigning orphan policies according to claim 5, wherein said assigning said orphan policies sequentially to said active agents comprises:
sequencing the effective salesmen according to the probability of receiving the orphan insurance policy of the salesmen;
and sequentially distributing the orphan insurance policies to the active service personnel from high to low.
7. The method of assigning orphan policies according to claim 6, wherein said assigning said orphan policies sequentially to said active clerks comprises:
inquiring and acquiring the order output record information of the effective salesman in a database, inquiring and acquiring first business type order output record information and second business type order output record information in the order output record information, and counting the ratio of the first business type order output record and the second business type order output record;
acquiring an upper distribution limit of an orphan policy of an effective salesman, and sequentially distributing the orphan policy to the effective salesman according to the service type of the orphan policy until the distribution ratio of the orphan policy reaches the ratio of the first service type order-out record or the second service type order-out record.
8. An orphan policy dispensing apparatus, said apparatus comprising:
the acquisition module is used for acquiring an orphan policy, acquiring administrative region information from the orphan policy, and inquiring in a database according to the administrative region information to acquire salesman information;
the screening module is used for inputting the salesman information into a preset effective salesman screening model to obtain the probability of receiving the orphan policy of the salesman, and screening according to the probability to obtain an effective salesman;
and the distribution module is used for sequentially distributing the orphan insurance policy to the effective salesman.
9. An orphan policy distribution device, comprising a memory and a processor, the memory having stored therein computer-readable instructions which, when executed by one or more of the processors, cause the one or more processors to perform the method of distribution of an orphan policy of any one of claims 1 to 7.
10. A computer-readable storage medium readable by a processor, the storage medium storing computer instructions which, when executed by one or more processors, cause the one or more processors to perform the method for allocation of an orphan policy of any one of claims 1-7.
CN202010221678.8A 2020-03-26 2020-03-26 Allocation method and device for orphan insurance policy, computer equipment and storage medium Pending CN111538915A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112200437A (en) * 2020-09-28 2021-01-08 绿瘦健康产业集团有限公司 Customer distribution method and device
CN112508331A (en) * 2020-10-30 2021-03-16 五八到家有限公司 Method, equipment and storage medium for allocating worker resources

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112200437A (en) * 2020-09-28 2021-01-08 绿瘦健康产业集团有限公司 Customer distribution method and device
CN112508331A (en) * 2020-10-30 2021-03-16 五八到家有限公司 Method, equipment and storage medium for allocating worker resources

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