WO2019184198A1

WO2019184198A1 - Quasi-user allocation method and apparatus, computer device, and storage medium

Info

Publication number: WO2019184198A1
Application number: PCT/CN2018/101027
Authority: WO
Inventors: 董国栋
Original assignee: 平安科技（深圳）有限公司
Priority date: 2018-03-26
Filing date: 2018-08-17
Publication date: 2019-10-03
Also published as: CN108510176B; CN108510176A

Abstract

The present application relates to the technical field of data processing, and provides a quasi-user allocation method and apparatus, a computer device, and a storage medium. The quasi-user allocation method comprises: obtaining quasi-user information, the quasi-user information comprising contact information and insurance concern information; classify a quasi-user according to the insurance interest information in the quasi-user information to obtain a target insurance category concerned by the quasi-user; and allocating the contact information in the quasi-user information to a corresponding manual position according to the target insurance category. In addition, also provided are a quasi-user allocation apparatus, a computer device, and a storage medium. By means of the quasi-user allocation method and apparatus, the computer device, and the storage medium, real-time allocation of a quasi-user can be accurately realized, and the allocation efficiency of the quasi-user is improved.

Description

Quasi-user distribution method, device, computer device and storage medium

Technical field

CROSS- REFERENCE TO RELATED APPLICATIONS RELATED APPLICATIONS RELATED APPLICATIONS RELATED APPLICATIONS RELATED APPLICATIONS RELATED APPLICATIONS PCT PCT PCT PCT PCT Combine it all here.

The present application relates to the field of data processing technologies, and in particular, to a quasi-user allocation method, apparatus, computer device, and computer readable storage medium.

Background technique

A prospective user is an individual or organization that has an insured intention and is likely to become a customer of the insurance company.

In insurance sales activities, one of the main problems faced by sales people is who to sell insurance, that is, who is their own insurance sales target. Basic information of prospective users can generally be obtained by means of network, telephone or SMS.

After obtaining the quasi-user information, these quasi-users should be assigned to the corresponding artificial seats, and the return visits to the quasi-users should be made in time through the manual seats to improve the sales success rate of the insurance.

At present, when the quasi-user information is obtained, the manual operation is performed by the corresponding assigning personnel, and the quasi-user information is distributed to the manual agent for subsequent processing. The inventor of the present application realizes that the assigning personnel need to spend time on the quasi-users. The identification of the information is further distributed, resulting in the inability to timely and accurately assign the prospective user information to the artificial agent, resulting in low allocation efficiency.

technical problem

Based on this, in order to solve the technical problem that the related information cannot be accurately and accurately distributed in the related art, the present application provides a quasi-user allocation method, device, computer device and computer readable storage medium.

Technical solution

According to a first aspect of the present application, a method for assigning a quasi-user is provided, including:

Obtaining quasi-user information, where the quasi-user information includes contact information and insurance attention information;

Performing a quasi-user classification according to the insurance attention information in the quasi-user information, and obtaining a target insurance category that the quasi-user pays attention to;

The contact information in the quasi-user information is distributed to the corresponding artificial agent according to the target insurance category.

According to a second aspect of the present application, a distribution device for a quasi-user is provided, comprising:

The quasi-user information obtaining module is configured to obtain quasi-user information, where the quasi-user information includes contact information and insurance attention information;

The quasi-user classification module is configured to perform quasi-user classification according to the insurance attention information in the quasi-user information, and obtain a target insurance category that the quasi-user pays attention to;

And an allocating module configured to allocate the contact information in the quasi-user information to the corresponding artificial agent according to the target insurance category.

According to a third aspect of the present application, there is provided a computer apparatus comprising a memory and a processor, wherein the memory stores computer readable instructions, the computer readable instructions being executed by the processor such that the computer The device performs the following processing:

According to a fourth aspect of the present application, there is provided a computer readable storage medium storing computer readable instructions, when executed by one or more processors, causing the one or more processors Perform the following processing:

Beneficial effect

The technical solutions provided by the embodiments of the present application may include the following beneficial effects:

The above-mentioned quasi-user distribution method, device, computer equipment and storage medium obtain the quasi-user information, classify the quasi-user according to the insurance attention information in the quasi-user information, obtain the target insurance category that the quasi-user pays attention to, and then according to the target insurance category The contact information in the quasi-user information is distributed to the corresponding manual agent, realizing accurate allocation of the user information for real-time distribution, avoiding the extra time for the assigning personnel to distribute the quasi-user information or failing to be timely due to the failure of the assigning personnel Accurate allocation greatly improves the efficiency of distribution of quasi-user information.

The above general description and the following detailed description are merely exemplary and are not intended to limit the application.

DRAWINGS

FIG. 1 is a block diagram of a computer device 100, according to an exemplary embodiment.

FIG. 2 is a flow chart of a method for assigning a prospective user according to an exemplary embodiment.

FIG. 3 is a specific implementation flowchart of step S110 in the method for allocating a quasi-user according to the corresponding embodiment of FIG. 2 .

FIG. 4 is another specific implementation flowchart of step S110 in the method for allocating a quasi-user according to the corresponding embodiment of FIG. 2 .

FIG. 5 is a specific implementation flowchart of step S120 in the method for allocating a quasi-user according to the corresponding embodiment of FIG. 2.

FIG. 6 is a specific implementation flowchart of step S130 in the method for allocating a quasi-user according to the corresponding embodiment of FIG. 2.

FIG. 7 is a block diagram of a quasi-user distribution device, according to an exemplary embodiment.

FIG. 8 is a block diagram of the quasi-user information acquisition module 110 in the distribution device of the quasi-user shown in the corresponding embodiment of FIG. 7.

FIG. 9 is another block diagram of the quasi-user information acquisition module 110 in the distribution device of the quasi-user shown in the corresponding embodiment of FIG. 7.

FIG. 10 is a block diagram of the quasi-user classification module 120 in the distribution device of the quasi-user shown in the corresponding embodiment of FIG.

Figure 11 is a block diagram of the distribution module 130 in the distribution device of the quasi-user shown in the corresponding embodiment of Figure 7.

Embodiments of the invention

In order to make the objects, technical solutions, and advantages of the present application more comprehensible, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It is understood that the specific embodiments described herein are merely illustrative of the application and are not intended to be limiting.

FIG. 1 is a block diagram of a computer device 100 that will be used to perform a quasi-user allocation method as shown in the following exemplary embodiments, according to an exemplary embodiment.

The computer device 100 may be a smartphone, a tablet, a notebook, a desktop computer, etc., but is not limited thereto.

Referring to FIG. 1, computer device 100 can include one or more of the following components: processing component 101, memory 102, power component 103, multimedia component 104, audio component 105, sensor component 107, and communication component 108. The above-mentioned components are not all necessary, and the computer device 100 may add other components or reduce some components according to their own functional requirements, which is not limited in this embodiment.

Processing component 101 typically controls the overall operation of computer device 100, such as operations associated with display, telephone calls, data communications, camera operations, and log data processing, and the like. Processing component 101 can include one or more processors 109 to execute instructions to perform all or part of the steps described above. Moreover, processing component 101 can include one or more modules to facilitate interaction between component 101 and other components. For example, processing component 101 can include a multimedia module to facilitate interaction between multimedia component 104 and processing component 101.

The memory 102 is configured to store various types of data to support operation at the computer device 100. Examples of such data include instructions for any application or method operating on computer device 100. The memory 102 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as SRAM (Static Random Access Memory), EEPROM (Electrically Erasable Programmable Read-Only Memory) Erase Programmable Read Only Memory), EPROM (Erasable Programmable Read Only Memory, PROM (Programmable Read-Only Memory), ROM (Read-Only Memory), Magnetic Memory, Flash Memory, Disk Or a disc. Also stored in memory 102 is one or more modules configured to be executed by the one or more processors 109 to perform all or part of the steps in any of the following methods.

Power component 103 provides power to various components of computer device 100. Power component 103 can include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for computer device 100.

The multimedia component 104 includes a screen between the computer device 100 and a user that provides an output interface. In some embodiments, the screen can include an LCD (Liquid Crystal Display, LCD, and TP (Touch Panel). If the screen includes a touch panel, the screen can be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touches, slides, and gestures on the touch panel. The touch sensor may sense not only the boundary of the touch or sliding action, but also the duration and pressure associated with the touch or slide operation.

The audio component 105 is configured to output and/or input an audio signal. For example, the audio component 105 includes a microphone that is configured to receive an external audio signal when the computer device 100 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signal may be further stored in memory 102 or transmitted via communication component 108. In some embodiments, the audio component 105 also includes a speaker for outputting an audio signal.

Sensor assembly 107 includes one or more sensors for providing computer device 100 with a status assessment of various aspects. For example, sensor component 107 can detect an open/closed state of computer device 100, relative positioning of components, and sensor component 107 can also detect changes in coordinates of one component of computer device 100 or computer device 100 and temperature changes of computer device 100. In some embodiments, the sensor assembly 107 can also include a magnetic sensor, a pressure sensor, or a temperature sensor.

Communication component 108 is configured to facilitate wired or wireless communication between computer device 100 and other devices. The computer device 100 can access a wireless network based on a communication standard, such as WiFi (WIreless-Fidelity), 2G or 3G, or a combination thereof. In an exemplary embodiment, communication component 108 receives broadcast signals or broadcast associated information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 108 further includes NFC (Near Field) Communication, Near Field Communication) module to facilitate short-range communication. For example, the NFC module can be based on RFID (Radio Frequency Identification, Radio Frequency Identification Technology, IrDA (Infrared) Data Association, Infrared Data Association technology, UWB (Ultra-Wideband) technology, BT (Bluetooth) technology and other technologies to achieve.

In an exemplary embodiment, the computer device 100 may be implemented by one or more ASICs (Application Specific Integrated Circuits), DSPs (Digital Signal) Processing, digital signal processor), PLD (Programmable Logic Device, FPGA (Field-Programmable Gate Array), controller, microcontroller, microprocessor or other electronic component implementation for performing a quasi-user allocation method.

The specific manner in which the processor in the computer device 100 performs the operations in this embodiment will be described in detail in the embodiment regarding the method of assigning the prospective users, and will not be described in detail herein.

As shown in FIG. 2, in an embodiment, a method for allocating a quasi-user is provided. The quasi-user allocation method can be applied to the computer device 100 shown in FIG. 1 , and specifically includes the following steps:

In step S110, the quasi-user information is obtained.

The prospective user information is related customer information that has an insured intention and is likely to become a customer of the insurance company.

The prospective user information includes contact information and insurance attention information.

The contact information is personal information related to the user. For example, the contact information in the quasi-user information may be related information such as customer name, contact number, age, and the like.

Insurance attention information is insurance-related information that is of interest to prospective users. For example, the insurance attention information in the prospective user information may be related information such as age, real estate, vehicle, and insurance intention.

There are several ways to get prospective user information. For example, by obtaining the customer name and mobile phone number from different channels, by transmitting insurance promotion information to each mobile phone number, the mobile phone number and the customer name and other related information that respond to the insurance promotion information are used as the quasi-user information. For example, personal information such as customer names and mobile phone numbers is obtained by other insurance companies, and these personal information are used as quasi-user information. Usually, if a customer purchases insurance from another insurance company, he usually thinks that his willingness to insure is stronger, and the probability of developing it into an insured customer is even greater. For example, by obtaining a webpage page browsed by the user, and performing content screening on the webpage page, the content related to the insurance is obtained, and the insurance-related content and the contact information of the user are used as the quasi-user information.

Quasi-user information can also be obtained in other ways, and no description will be made here.

In step S120, the quasi-user classification is performed according to the insurance attention information in the quasi-user information, and the target insurance category that the quasi-user pays attention to is obtained.

Understandably, insurance includes life insurance and property insurance. Life insurance includes life insurance, personal accident insurance, health insurance, etc.; property insurance includes motor vehicle insurance, corporate property insurance, family property insurance, ship insurance, liability insurance, guarantee insurance, cargo transportation insurance, accidental injury insurance, agricultural insurance, Engineering insurance, credit insurance, etc. Regardless of the various types of insurance in life insurance or various types of insurance in property insurance, all types of insurance under its subordinates can be subdivided into a variety of insurance categories.

It can be seen that the insurance category is a lot.

Therefore, the insured intention of the corresponding prospective user can be analyzed according to the insurance attention information in the quasi-user information, so as to determine the target insurance type of the prospective user with the most insured intention by the quasi-user classification, and then the bidding of the quasi-user is more suitable according to the target insurance category. The service of the agent is to improve the communication efficiency when the artificial seat is the user, and save the time of the artificial agent and the prospective user.

There are various ways to classify the corresponding prospective users according to the quasi-user information, which may be classified according to the age of the quasi-user information, or may be classified according to the information of the real estate, the vehicle, etc. in the quasi-user information. The user may classify the insurance, or may classify the user according to the confirmation or filling information of the specific insurance category scene in the quasi-user information, or may insure the corresponding prospective user according to the quasi-user information by other means. Classification, here is not described one by one.

For example, the user is classified according to the age group of the prospective user. Because there are certain differences in the categories of prospective users in different age groups, for example, for prospective users in the child stage, the willingness to insure personal accident insurance and education in the education category is relatively stronger; for the prospective users in the middle and young age, The willingness to insure critical illness insurance is relatively stronger; for prospective users in the older middle-aged stage, the willingness to insure life insurance is relatively stronger.

Step S130, the contact information in the quasi-user information is distributed to the corresponding artificial agent according to the target insurance category.

Generally, the artificial seats are classified according to the insurance category, that is, a certain part of the artificial seat is specifically responsible for providing services to the prospective users of an insurance category.

The automatic allocation of the user through the insurance system eliminates the need for a dedicated assignor to manually align the user for assignment, thereby accurately realizing the real-time distribution of the prospective user. Through the real-time distribution of prospective users, the insurance company does not need to arrange special allocation personnel, which greatly saves the labor cost of the insurance company, and improves the distribution efficiency of the prospective users, and avoids the partial users being missed due to the mistakes of the distribution personnel. Assignment or misallocation.

When a certain artificial seat serves a quasi-user of a certain category for a long time, it will increase the familiarity of the artificial agent to the psychological characteristics of the quasi-user and the insurance category with the willingness to insure, thereby greatly improving the provision of the artificial seat to the quasi-user. Communication efficiency during service, saving time for manual agents and prospective users.

Moreover, by performing quasi-user classification, the artificial seats are allocated according to the target insurance categories that the prospective users pay attention to, so that the labors can be divided and cooperated without having to know the characteristics of all insurance categories, and only one of the services is familiar with one of the services. Information about insurance categories or several insurance categories greatly reduces the workload of manual agents.

Optionally, FIG. 3 is a detailed description of step S110 in the method for allocating a quasi-user according to the corresponding embodiment of FIG. 2. In the method for allocating the quasi-user, step S110 may include the following steps:

In step S111, the insurance promotion information is sent.

Insurance promotion information is an insurance advertisement that an insurance company sends to the public.

Through insurance promotion information, insurance companies conduct insurance marketing.

It should be noted that the insurance promotion information is related to the insurance category.

For example, the insurance promotion information X1 is related to the insurance categories S1, S2, and the insurance promotion information X2 is related to the insurance categories S2, S3.

When an insurance company sends insurance promotion information through the insurance system, it may randomly send insurance promotion information to each mobile phone number; it may also capture certain mobile phone numbers through the network big data, and send insurance promotion information to these mobile phone numbers; Send insurance promotion information in other ways.

Step S112, receiving reply information in response to the insurance promotion information.

The reply message includes the content related to the insurance concerned.

It can be understood that the user to which certain mobile phone numbers belong has the willingness to insure the relevant insurance in the insurance promotion information, and after receiving the insurance promotion information, the user may reply to the insurance promotion information.

The reply message may be a reply message in response to the insurance promotion information, a reply phone response to the insurance promotion information, or another form of reply.

Step S113, generating the quasi-user information by transmitting the reply information and corresponding contact information and the content related to the insurance in the reply information.

For example, the insurance company sends the insurance promotion information X1 to the mobile phone numbers N1, N2, N3, N4, N5, and then receives the mobile phone numbers N2 and N3 in response to the insurance promotion information X1, and then according to the reply message, the mobile phone number N2 and The insurance promotion information X1 is used as the quasi-user information, and the mobile phone number N3 and the insurance promotion information X1 are used as the quasi-user information.

By using the method as described above, the insurance promotion information is transmitted to the public, and the quasi-user information is obtained according to the reply information of the response insurance promotion information, so that the quasi-user information is more targeted, and the insurance is based on the quasi-user information. After paying attention to the information and classifying the prospective users, the corresponding artificial seats are automatically allocated according to the target insurance categories that the prospective users pay attention to, ensuring the real-time and accuracy of the manual agent allocation for the aligned users.

Optionally, FIG. 4 is a detailed description of step S110 in the method for allocating a quasi-user according to the corresponding embodiment of FIG. 2. In the method for allocating the quasi-user, step S110 may include the following steps:

Step S115, performing content screening from the user operation information to obtain insurance related content.

It can be understood that the user generates corresponding user operation information during the process of web browsing, app use, and the like.

Therefore, insurance related content is obtained by content screening of user operation information.

For example, content screening of user operation information by using preset keywords to obtain insurance-related content including these keywords.

Step S116, collecting contact information according to a triggering operation on the insurance related content.

The triggering operation on the insurance-related content may be a browsing operation on a webpage page having insurance-related content, or may be a triggering operation of a webpage page having insurance-related content exceeding a preset duration, or may be a webpage The click operation of the link with the insurance content on the page can also be other types of trigger operations.

When collecting the contact information of the user, the contact information of the user may be collected through related information such as a user account, an IP address, and the like that trigger the operation of the insurance-related content. For example, through big data analysis, the user's contact number, contact email address and other contact information are searched according to the user account, IP address and other related information.

Step S117, generating quasi-user information by using contact information and insurance related content.

By using the method as described above, the insurance related content is filtered out from the user operation information, and the contact information of the user is collected according to the insurance related content, and the quasi-user information is generated according to the contact information and the insurance-related content, thereby realizing the quasi-user information. The automatic acquisition greatly improves the convenience and intelligence of the prospective user information.

Optionally, FIG. 5 is a detailed description of step S120 in the method for allocating a quasi-user according to the corresponding embodiment of FIG. 2. In the method for allocating the quasi-user, step S120 may include the following steps:

Step S121, extracting insurance attention information from the quasi-user information.

As mentioned earlier, insurance attention information is insurance-related information that is of interest to prospective users.

In an exemplary embodiment, the prospective user information is obtained by responding to the reply information of the insurance promotion information, and the insurance promotion information is related to the insurance category, and thus the prospective user information includes information related to the insurance category.

Step S122: Find an insurance category related to the insurance attention information from the preset insurance category set, and determine a target insurance category that the prospective user pays attention to.

The insurance category set is pre-set and the insurance category set contains multiple insurance categories.

As mentioned earlier, the insurance category is diverse, and the insurance category set is a collection of insurance categories that the insurance company currently can market.

It should be noted that, according to the insurance information, the insurance category related to the insurance information is collected from the preset insurance category to obtain the target insurance category, and the target insurance category may be an insurance category or multiple insurance categories.

For example, in the acquisition of the prospective user information, the insurance attention information is extracted to be 65 years old, and the preset insurance category centralized insurance categories S1 and S2 are suitable for the 65-year-old elderly purchase, and therefore, the quasi-user classification is obtained according to the insurance attention information. The target insurance category that the prospective user is concerned with is the insurance categories S1 and S2.

For another example, the quasi-user information is obtained according to the reply information of the response insurance promotion information X1, and the insurance promotion information X1 is related to the insurance categories S2 and S3. Therefore, the quasi-user classification is performed to obtain the target of the quasi-user. The insurance categories are insurance categories S2 and S3.

By using the method as described above, the insurance interest category is extracted from the quasi-user information, and the insurance category related to the insurance attention information is searched for the target insurance category, thereby ensuring the accuracy of the quasi-user classification based on the quasi-user information.

Optionally, FIG. 6 is a detailed description of step S130 in the method for allocating a quasi-user according to the corresponding embodiment of FIG. 2. In the method for allocating the quasi-user, step S130 may include the following steps:

Step S131, determining a manual agent list according to the target insurance category.

As mentioned above, the artificial seats are classified according to the insurance category, that is, a certain part of the artificial agent is responsible for providing services to the prospective users of an insurance category.

Therefore, each insurance category corresponds to a specific manual seat list, and the manual seats in each manual seat list are served with prospective users belonging to the corresponding insurance category.

For example, the manual seat lists corresponding to the insurance categories S1, S2, S3, S4, and S5 are respectively the manual seat lists R1, R2, R3, R4, and R5. Therefore, when the target insurance category is the insurance category S4, the corresponding corresponding is determined. The manual agent list is the manual agent list R4.

Step S132, selecting a target artificial seat from the manual agent list.

The target artificial seat is a manual seat that provides services for prospective users corresponding to the quasi-user information.

It can be understood that each manual agent list includes one or more artificial agents.

Therefore, after determining the manual agent list, a manual agent needs to be selected from the manual agent list as the target artificial seat.

When there is only one artificial seat in the manual agent list, it is determined that the artificial seat is the target artificial seat.

When more than two manual seats are included in the manual agent list, a manual agent must be selected from the manual agent list as the target artificial seat.

There are several ways to select the target artificial seat from the manual agent list. A manual seat can be randomly selected from the manual agent list as the target artificial seat; or the highest rate of the highest rate can be selected according to the favorable rate of each artificial seat in the manual agent list. The artificial seat is used as the target artificial seat; the artificial seat with the least number of prospective users can be selected as the target artificial seat according to the number of quasi-users currently assigned by each manual agent in the manual agent list; and the target can be selected from the manual agent list by other means. Manual seating.

Step S133, the contact information in the quasi-user information is assigned to the target artificial seat.

By assigning the contact information in the quasi-user information to the target artificial seat, the target artificial agent contacts the prospective user according to the contact information to perform insurance promotion.

After the manual agent list is determined according to the target insurance category, the target artificial agent is selected from the manual agent list, and the contact information in the prospective user information is assigned to the target artificial seat, and the aligned user information is ensured. The accurate distribution of the contact information improves the flexibility of selecting the target artificial seat.

As shown in FIG. 7 , in one embodiment, a quasi-user distribution device is provided. The quasi-user distribution device may be integrated into the computer device 100, and may include a quasi-user information acquisition module 110 and a quasi-user. Classification module 120 and distribution module 130.

The quasi-user information obtaining module 110 is configured to obtain quasi-user information, where the quasi-user information includes contact information and insurance attention information;

The quasi-user classification module 120 is configured to perform quasi-user classification according to the insurance attention information in the quasi-user information, and obtain the target insurance category that the quasi-user pays attention to;

The distribution module 130 is configured to allocate contact information in the quasi-user information to the corresponding artificial agent according to the target insurance category.

For details of the implementation process of the functions and functions of the modules in the foregoing devices, refer to the implementation process of the corresponding steps in the foregoing method for assigning the quasi-users, and details are not described herein.

Optionally, as shown in FIG. 8, in FIG. 7, corresponding to the embodiment, the quasi-user information obtaining module 110 includes, but is not limited to, the promotion information transmitting unit 111, the reply information receiving unit 112, and the prospective user. Information acquisition unit 113.

The promotion information sending unit 111 is configured to send insurance promotion information;

The reply information receiving unit 112 is configured to receive reply information in response to the insurance promotion information, where the reply information includes content related to the insurance concerned;

The first quasi-user information generating unit 113 is configured to generate quasi-user information by transmitting the reply information corresponding to the contact information and the content related to the insurance in the reply information.

Optionally, as shown in FIG. 9 , in FIG. 7 , the corresponding embodiment shows a distribution device of a quasi-user. The quasi-user information obtaining module 110 includes, but is not limited to, a content filtering unit 115, a contact information collecting unit 116, and a second. Quasi-user information generating unit 117.

The content screening unit 115 is configured to perform content screening from the user operation information to obtain insurance related content;

The contact information collecting unit 116 is configured to collect contact information according to a triggering operation on the insurance related content;

The second quasi-user information generating unit 117 is configured to generate quasi-user information through the contact information and the insurance related content.

Optionally, as shown in FIG. 10, in FIG. 7, the corresponding embodiment shows a distribution device of a quasi-user, and the quasi-user classification module 120 includes, but is not limited to, an insurance information extraction unit 121 and a target insurance category determination unit 122.

The insurance attention information extracting unit 121 is configured to extract insurance attention information from the quasi-user information;

The target insurance category determining unit 122 is configured to search for an insurance category related to the insurance attention information from the preset insurance category set, and determine a target insurance category that the prospective user pays attention to.

Optionally, as shown in FIG. 11 , in FIG. 7 , the corresponding embodiment shows the distribution device of the quasi-user. The distribution module 130 includes, but is not limited to, a manual agent list determining unit 131 , a target manual agent selecting unit 132 , and an allocating unit 133 . .

The manual agent list determining unit 131 is configured to determine a manual agent list according to the target insurance category;

The target artificial agent selecting unit 132 is configured to select a target artificial seat from the manual agent list;

The allocating unit 133 is configured to allocate contact information in the quasi-user information to the target artificial agent.

In one embodiment, a computer apparatus is presented that performs all or part of the steps of the quasi-user assignment method shown in any of the above. The computer device includes:

At least one processor;

a memory communicatively coupled to the at least one processor; wherein

The memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform as illustrated in any of the above-described exemplary embodiments The quasi-user allocation method.

In one embodiment, a computer readable storage medium storing computer readable instructions, when executed by one or more processors, causes one or more processors to perform said quasi-user The steps in the method embodiment are assigned.

A person skilled in the art can understand that all or part of the process of implementing the above embodiment method can be completed by a computer program to instruct related hardware, and the computer program can be stored in a computer readable storage medium. When executed, the flow of an embodiment of the methods as described above may be included. The foregoing storage medium may be a magnetic disk, an optical disk, or a read-only storage memory (Read-Only) Non-volatile storage media such as Memory, ROM), or random storage memory (Random Access Memory, RAM), etc.

The technical features of the above-described embodiments may be arbitrarily combined. For the sake of brevity of description, all possible combinations of the technical features in the above embodiments are not described. However, as long as there is no contradiction between the combinations of these technical features, All should be considered as the scope of this manual.

The above-mentioned embodiments are merely illustrative of several embodiments of the present application, and the description thereof is more specific and detailed, but is not to be construed as limiting the scope of the claims. It should be noted that a number of variations and modifications may be made by those skilled in the art without departing from the spirit and scope of the present application. Therefore, the scope of the invention should be determined by the appended claims.

Claims

A method for assigning prospective users, including:

Obtaining quasi-user information, where the quasi-user information includes contact information and insurance attention information;

Performing a quasi-user classification according to the insurance attention information in the quasi-user information, and obtaining a target insurance category that the quasi-user pays attention to;

The contact information in the quasi-user information is distributed to the corresponding artificial agent according to the target insurance category.
The method of claim 1 wherein said step of obtaining quasi-user information comprises:

Send insurance promotion information;

Receiving reply information responsive to the insurance promotion information, the reply information including content related to the insurance of interest;

The quasi-user information is generated by transmitting the reply information and the corresponding contact information and the content related to the insurance in the reply information.
The method of claim 1 wherein said step of obtaining quasi-user information comprises:

Content screening from user operation information to obtain insurance related content;

Collecting contact information according to a triggering operation on the insurance related content;

The quasi-user information is generated by the contact information and the insurance related content.
The method according to any one of claims 1-3, wherein the step of performing a quasi-user classification according to the insurance attention information in the quasi-user information, and obtaining the target insurance category that the quasi-user pays attention to includes:

Extracting insurance attention information from the quasi-user information;

Finding an insurance category related to the insurance attention information from a preset insurance category set, and determining a target insurance category that the prospective user pays attention to.
The method according to any one of claims 1 to 4, wherein the step of assigning the contact information in the quasi-user information to the corresponding artificial agent according to the target insurance category comprises:

Determining a manual agent list according to the target insurance category;

Selecting a target artificial seat from the manual agent list;

Assigning contact information in the quasi-user information to the target human agent.
A quasi-user distribution device comprising:

The quasi-user information obtaining module is configured to obtain quasi-user information, where the quasi-user information includes contact information and insurance attention information;

The quasi-user classification module is configured to perform quasi-user classification according to the insurance attention information in the quasi-user information, and obtain a target insurance category that the quasi-user pays attention to;

And an allocating module configured to allocate the contact information in the quasi-user information to the corresponding artificial agent according to the target insurance category.
The device of claim 6, wherein the quasi-user information acquisition module comprises:

a promotion information sending unit configured to send insurance promotion information;

a reply information receiving unit configured to receive reply information in response to the insurance promotion information, where the reply information includes content related to the insurance concerned;

The first quasi-user information generating unit is configured to generate the quasi-user information by transmitting contact information corresponding to the reply information and content related to insurance in the reply information.
The device of claim 6, wherein the quasi-user information acquisition module comprises:

a content screening unit configured to perform content screening from user operation information to obtain insurance related content;

a contact information collecting unit configured to collect contact information according to a triggering operation on the insurance related content;

The second quasi-user information generating unit is configured to generate the quasi-user information by using the contact information and the insurance related content.
The apparatus of any of claims 6-8, wherein the quasi-user classification module comprises:

An insurance attention information extracting unit configured to extract insurance attention information from the quasi-user information;

The target insurance category determining unit is configured to search for an insurance category related to the insurance attention information from a preset insurance category set, and determine a target insurance category that the prospective user pays attention to.
The apparatus of any of claims 6-9, wherein the distribution module comprises:

a manual agent list determining unit configured to determine a manual agent list according to the target insurance category;

a target artificial agent selecting unit configured to select a target artificial seat from the manual agent list;

And an allocating unit configured to allocate contact information in the quasi-user information to the target human agent.
A computer device comprising a memory and a processor, the memory storing computer readable instructions, the computer readable instructions being executed by the processor such that the computer device performs the following processing:

Obtaining quasi-user information, where the quasi-user information includes contact information and insurance attention information;

Performing a quasi-user classification according to the insurance attention information in the quasi-user information, and obtaining a target insurance category that the quasi-user pays attention to;

The contact information in the quasi-user information is distributed to the corresponding artificial agent according to the target insurance category.
The computer device of claim 11, wherein the obtaining the prospective user information comprises:

Send insurance promotion information;

Receiving reply information responsive to the insurance promotion information, the reply information including content related to the insurance of interest;

The quasi-user information is generated by transmitting the reply information and the corresponding contact information and the content related to the insurance in the reply information.
The computer device of claim 11, wherein the obtaining the prospective user information comprises:

Content screening from user operation information to obtain insurance related content;

Collecting contact information according to a triggering operation on the insurance related content;

The quasi-user information is generated by the contact information and the insurance related content.
The computer device according to any one of claims 11 to 13, wherein the classifying the prospective users according to the insurance attention information in the quasi-user information, and obtaining the target insurance category that the quasi-user pays attention to include:

Extracting insurance attention information from the quasi-user information;

Finding an insurance category related to the insurance attention information from a preset insurance category set, and determining a target insurance category that the prospective user pays attention to.
The computer device according to any one of claims 11 to 14, wherein the assigning the contact information in the quasi-user information to the corresponding human agent according to the target insurance category comprises:

Determining a manual agent list according to the target insurance category;

Selecting a target artificial seat from the manual agent list;

Assigning contact information in the quasi-user information to the target human agent.
A computer readable storage medium storing computer readable instructions, when executed by one or more processors, causes the one or more processors to perform the following processing:

Obtaining quasi-user information, where the quasi-user information includes contact information and insurance attention information;

Performing a quasi-user classification according to the insurance attention information in the quasi-user information, and obtaining a target insurance category that the quasi-user pays attention to;

The contact information in the quasi-user information is distributed to the corresponding artificial agent according to the target insurance category.
The computer readable storage medium of claim 16 wherein said obtaining prospective user information comprises:

Send insurance promotion information;

Receiving reply information responsive to the insurance promotion information, the reply information including content related to the insurance of interest;

The quasi-user information is generated by transmitting the reply information and the corresponding contact information and the content related to the insurance in the reply information.
The computer readable storage medium of claim 16 wherein said obtaining prospective user information comprises:

Content screening from user operation information to obtain insurance related content;

Collecting contact information according to a triggering operation on the insurance related content;

The quasi-user information is generated by the contact information and the insurance related content.
The computer readable storage medium according to any one of claims 16 to 18, wherein the performing the quasi-user classification according to the insurance attention information in the quasi-user information, obtaining the target insurance category that the quasi-user pays attention to, include:

Extracting insurance attention information from the quasi-user information;

Finding an insurance category related to the insurance attention information from a preset insurance category set, and determining a target insurance category that the prospective user pays attention to.
The computer readable storage medium according to any one of claims 16 to 19, wherein the assigning the contact information in the quasi-user information to the corresponding human agent according to the target insurance category comprises:

Determining a manual agent list according to the target insurance category;

Selecting a target artificial seat from the manual agent list;

Assigning contact information in the quasi-user information to the target human agent.