CN108460643B - Client information processing method and device - Google Patents
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- CN108460643B CN108460643B CN201710091074.4A CN201710091074A CN108460643B CN 108460643 B CN108460643 B CN 108460643B CN 201710091074 A CN201710091074 A CN 201710091074A CN 108460643 B CN108460643 B CN 108460643B
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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
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0631—Item recommendations
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
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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
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0609—Buyer or seller confidence or verification
Abstract
The invention relates to a client information processing method and device. The method comprises the following steps: acquiring basic information of an incoming line customer according to an identity of the incoming line customer, and if the basic information meets a preset condition, calculating a basic score of the incoming line customer according to the basic information; if product information corresponding to the basic information of the incoming line customer exists, calculating the product score of the incoming line customer according to the product information; if business information corresponding to the basic information of the incoming line customer exists, calculating the business score of the incoming line customer according to the business information of the incoming line customer; calculating a recommended score of the incoming customer according to at least one of the base score, the product score and the service score; and determining the recommendation result of the incoming line customer according to the recommendation score of the incoming line customer, and displaying the recommendation result of the customer. The method and the device improve the service processing efficiency and save a large amount of service processing time.
Description
Technical Field
The present invention relates to the field of computer technologies, and in particular, to a method and an apparatus for processing client information.
Background
In the information age, people's daily life is also becoming more and more internet. The application of the network transaction system is more and more extensive, and the network transaction system can not only improve the transaction efficiency, but also reduce the personnel investment.
The traditional network transaction system only displays the information of a client on a display interface, and the client often does not know whether the client meets the recommendation condition in the process of recommending products, so that the recommendation is attempted. Such non-targeted recommendation often makes the business processing very inefficient.
Disclosure of Invention
Therefore, it is necessary to provide a method and an apparatus for processing client information to improve the business processing efficiency.
A customer information processing method comprising:
acquiring basic information of an incoming line customer according to an identity of the incoming line customer, and if the basic information meets a preset condition, calculating a basic score of the incoming line customer according to the basic information;
if product information corresponding to the basic information of the incoming line customer exists, calculating the product score of the incoming line customer according to the product information;
if business information corresponding to the basic information of the incoming line customer exists, calculating the business score of the incoming line customer according to the business information of the incoming line customer;
calculating a recommended score of the incoming customer according to at least one of the base score, the product score and the service score; and
and determining the recommendation result of the incoming line customer according to the recommendation score of the incoming line customer, and displaying the recommendation result of the customer.
In one embodiment, if the basic information meets a preset condition, calculating a base score of the incoming line customer according to the basic information includes:
and matching each item in the basic information of the incoming line customer with a preset basic information standard, and if each item is successfully matched, calculating the basic score of the incoming line customer according to a preset mode.
In one embodiment, said calculating a product score of said incoming customer based on said product information comprises:
and matching each item in the product information of the incoming line customer with a preset product information standard, and if the product information of the incoming line customer has a successfully matched item, calculating the product score of the incoming line customer according to a preset mode.
In one embodiment, if there is service information corresponding to the basic information of the incoming line customer, calculating the service score of the incoming line customer according to the service information of the incoming line customer includes:
and acquiring a corresponding credit record according to the basic information of the incoming line customer, and if the credit record is successfully acquired, calculating the service score of the incoming line customer according to the credit record.
In one embodiment, if there is service information corresponding to the basic information of the incoming line customer, calculating the service score of the incoming line customer according to the service information of the incoming line customer includes:
and acquiring a corresponding credit record according to the basic information of the incoming line customer, and if default information in the credit record meets a preset default standard, calculating the service score of the incoming line customer according to the credit record.
A customer information processing apparatus comprising:
the basic score calculation module is used for acquiring basic information of an incoming line customer according to an identity of the incoming line customer, and if the basic information meets a preset condition, calculating the basic score of the incoming line customer according to the basic information;
the product score calculation module is used for calculating the product score of the incoming line customer according to the product information if the product information corresponding to the basic information of the incoming line customer exists;
the service score calculation module is used for calculating the service score of the incoming line client according to the service information of the incoming line client if the service information corresponding to the basic information of the incoming line client exists;
the recommendation score calculation module is used for calculating the recommendation score of the incoming line customer according to at least one of the basic score, the product score and the service score;
and the recommendation result display module is used for determining the recommendation result of the incoming line customer according to the recommendation score of the incoming line customer and displaying the recommendation result of the customer.
In one embodiment, the basic score calculation module is further configured to match each item in the basic information of the incoming line customer with a preset basic information standard, and if each item is successfully matched, calculate the basic score of the incoming line customer according to a preset mode.
In one embodiment, the product score calculation module is further configured to match each item in the product information of the incoming line customer with a preset product information standard, and if the item that is successfully matched exists in the product information of the incoming line customer, calculate the product score of the incoming line customer according to a preset mode.
In one embodiment, the service score calculation module is further configured to obtain a corresponding credit record according to the basic information of the incoming line customer, and if the credit record is successfully obtained, calculate the service score of the incoming line customer according to the credit record.
In one embodiment, the service score calculation module is further configured to obtain a corresponding credit record according to the basic information of the incoming line customer, and calculate the service score of the incoming line customer according to the credit record if default information in the credit record meets a preset default standard.
According to the client information processing method and device, the relevant information of the incoming line client is obtained through the identity of the incoming line client, the recommendation value of the incoming line client is calculated according to the relevant information of the incoming line client, and then the recommendation result is determined and displayed according to the recommendation value. The recommendation result reflects the degree of fit between the incoming line customer related information and the product condition, and the customer service recommends the product in a targeted manner according to the recommendation result, so that the success rate of product recommendation is higher, the service processing efficiency is improved, and a large amount of service processing time is saved.
Drawings
FIG. 1 is a diagram of an application environment of a client information processing method in one embodiment;
FIG. 2 is a flow diagram of a method for client information processing in one embodiment;
FIG. 3 is a flowchart of a customer information processing method in another embodiment;
FIG. 4 is a schematic diagram of a recommendation presentation interface in one embodiment;
fig. 5 is a schematic configuration diagram of a client information processing apparatus in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention 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 invention and are not intended to limit the invention.
FIG. 1 is a diagram of an application environment of a client information processing method in one embodiment. As shown in fig. 1, the application environment diagram includes a customer service terminal 102 and a server 104, where the server is configured to identify an identity of an incoming customer, obtain basic information, product information, and service information of the incoming customer according to the identity of the incoming customer, and calculate a recommendation score of the incoming customer according to the basic information, the product information, and the service information of the incoming customer. The customer service terminal 102 is configured to determine a recommendation result of the incoming line customer according to the recommendation score calculated by the server 104, and display the recommendation result. The service terminal 102 is a device that can access a network and support an application, and may be a personal computer, a mobile terminal, or the like. The server 104 is a device that can provide computing services, and may be, for example, one or more computers.
Fig. 2 is a flowchart of a customer information processing method in one embodiment. As shown in fig. 2, the customer information processing method includes steps S202 to S210, in which:
step S202, obtaining basic information of the incoming line customer according to the identity of the incoming line customer, and if the basic information meets the preset conditions, calculating the basic score of the incoming line customer according to the basic information.
In this embodiment, the identity of the incoming line customer refers to a certificate capable of proving the identity of the incoming line customer, such as a telephone number, an identification number, a passport number, a driving license number, a social security card number, and the like of the incoming line customer. The server acquires the identity code of the incoming line client terminal, so that the identity identification of the incoming line client is obtained according to the identity code of the incoming line client terminal. The server stores a corresponding relationship between an identity code of the incoming line client terminal and an identity identifier of the incoming line client, where the identity code of the incoming line client terminal refers to a unique identity code of the incoming line client terminal, and may be, for example, an ip (internet protocol) address, an mac (media Access control) address, a telephone number, and the like. The incoming line client terminal is a device which can communicate with the server, and can be a fixed telephone, a personal computer, a mobile terminal and the like. In other embodiments, the identity of the incoming line customer may also be entered by the customer service from a customer service terminal.
In this embodiment, the preset condition refers to a preset customer standard condition, the basic information of the incoming line customer is compared with the preset condition, and if the basic information of the incoming line customer meets the preset condition, the basic score corresponding to the incoming line customer is calculated according to the basic information. The basic information of the incoming line customer includes the nationality, age and residential address of the incoming line customer, etc.
For example, the predetermined conditions are nationality "china", age "21 to 55 years", and working age "at least one year". And respectively comparing nationality, age and working year in the client information with preset conditions, wherein if the three conditions are met, 1 point is added, and if not, 0 point is marked.
And step S204, if product information corresponding to the basic information of the incoming line customer exists, calculating the product score of the incoming line customer according to the product information.
In this embodiment, the product information refers to information related to products that the incoming line customer has historically purchased, and corresponds to basic information of the incoming line customer. For example, the incoming line customer purchases the car insurance, and the product related information may include whether the person purchasing the car insurance is the person himself, whether the car purchasing the car insurance has a car credit, whether the number of the non-operating cars is less than 9, and the like. The vehicle insurance refers to vehicle insurance, namely, vehicle insurance taking responsibility of the motor vehicle and a third party and the like as insurance marks.
In this embodiment, the product information is matched with a preset product information condition, if a certain item in the product information of the incoming line customer is matched with a corresponding item in the preset product information condition, the item is added with a corresponding preset score, otherwise, the score is not added. And calculating the final product score according to the matching result of each item.
For example, the product information of the incoming line customer includes "person who purchases the car insurance", "car with car credit for purchasing the car insurance", and "for less than 9 operating vehicles", and the preset product information conditions are "person who purchases the car insurance", "car without car credit for purchasing the car insurance", and "for less than 9 non-operating vehicles". And matching each item in the product information of the incoming line customer with each item in the preset product information conditions. If the two items of product information, namely 'the vehicle purchasing the vehicle insurance has vehicle credit' and 'the vehicle is operated below 9 seats', are not matched with the corresponding items in the preset product information conditions, no point is added, and if the product information, namely 'the person purchasing the vehicle insurance' is matched with the corresponding items in the preset product information conditions, 1 point is added. The final product score is 1.
And step S206, if the service information corresponding to the basic information of the incoming line customer exists, calculating the service score of the incoming line customer according to the service information of the incoming line customer.
In this embodiment, the service information of the incoming line customer refers to relevant information generated by the incoming line customer during the use of the product, and may be, but is not limited to, a credit record of the incoming line customer. The credit record refers to the description of the credit of the incoming line customer, which is expressed by certain symbols or characters after the credit rating organization evaluates the information of the credit condition of the incoming line customer according to certain standards and indexes by relying on the information from a certain channel or social parties.
In this embodiment, a credit record of an incoming line customer is obtained according to basic information of the incoming line customer, if the credit record of the incoming line customer is successfully obtained, it is determined whether default information exists in the credit record of the incoming line customer, if no default information exists, a corresponding preset score is added, otherwise, no score is added. For example, obtaining a credit record of an incoming line customer according to basic information of the incoming line customer, and adding 1 point if no default information exists in the credit record of the incoming line customer; and if the credit record of the incoming line customer is not acquired according to the basic information of the incoming line customer or default information exists in the acquired credit record, not adding points.
And step S208, calculating the recommended score of the incoming line customer according to at least one of the basic score, the product score and the service score.
In this embodiment, step S202, step S204 and step S206 have no execution sequence, and may be executed in parallel. One or more of the base score, the product score, and the service score may be obtained according to the results calculated in steps S202 to S206.
In this embodiment, one or more of the base score, the product score and the service score calculated in steps S202 to S206 are added to obtain the final recommended score of the incoming customer. For example, if the base score of the statistics is 1 point, the product score is 2 points, and the service score is 0 point, the obtained recommendation score is 3 points.
In this embodiment, before calculating the recommendation score, it is determined whether the base score is 0, and if the base score is 0, the final recommendation score is marked as 0 regardless of whether the product score and the service score are 0. And if the basic score is not 0, adding one of the basic score, the product score and the service score to obtain the final recommendation score.
And step S210, determining a recommendation result of the incoming line customer according to the recommendation score of the incoming line customer, and displaying the recommendation result of the customer.
In this embodiment, the recommendation score is preset to a plurality of score ranges, each score range corresponds to a recommendation result, and then the recommendation result of the incoming line customer is determined according to the recommendation score calculated in step S208 and the preset score range. And displaying the final recommendation result on a terminal, wherein the terminal refers to the outermost equipment of the network and is mainly used for inputting user information, outputting a processing result and the like. It is understood that the terminal may be, but is not limited to, a personal computer, a mobile terminal, an electronic wearable device, and the like.
In the embodiment, the related information of the incoming line customer is obtained through the identity of the incoming line customer, and the fitness of the related information of the incoming line customer and the product condition is reflected by the final recommendation result obtained according to the recommendation score calculated by the related information. The customer service recommends the product in a targeted manner according to the recommendation result, so that the success rate of recommending the product is higher, the service processing efficiency is improved, and a large amount of service processing time is saved.
Fig. 3 is a flowchart of a customer information processing method in one embodiment. As shown in fig. 3, the customer information processing method includes steps S302 to S310, in which:
step S302, obtaining basic information of the incoming line customer according to the identity of the incoming line customer, matching each item in the basic information of the incoming line customer with a preset basic information standard, and if each item is successfully matched, calculating the basic score of the incoming line customer according to a preset mode.
In this embodiment, the identity of the incoming line customer refers to a certificate capable of proving the identity of the incoming line customer, such as a telephone number, a passport number, and the like of the incoming line customer. The identity of the incoming line client is automatically identified and acquired by the server according to the incoming line client terminal, and in other embodiments, the identity of the incoming line client can be input through the customer service terminal. The incoming line client terminal is a device capable of communicating with the server, and may be a mobile terminal, a landline telephone, a personal computer, and the like.
In this embodiment, before obtaining the identity of the incoming line customer, the incoming line customer terminal needs to be identified first, and after the identification is successful, the identity of the incoming line customer is obtained. And acquiring basic information of the incoming line customer according to the acquired identity of the incoming line customer, and performing subsequent matching after the basic information of the incoming line customer is successfully acquired. The basic information of the incoming line customer includes the nationality, age and residential address of the incoming line customer, etc.
In this embodiment, the preset basic information refers to a preset customer basic information standard condition, the basic information of the incoming line customer is compared with the preset basic information, and if the basic information of the incoming line customer meets the preset condition, the basic score of the incoming line customer is calculated according to the basic information.
In this embodiment, each item in the basic information of the incoming line customer is matched with a preset basic information standard, and if each item is successfully matched, the basic score of the incoming line customer is recorded as 1. If one or all of the projects do not match, the base score of the incoming line customer is scored as 0.
For example, the predetermined conditions are nationality "china", age "21 to 55 years", and working age "at least one year". And respectively comparing nationality, age and working year in the client information with preset conditions, wherein if the three conditions are met, 1 point is added, and if not, 0 point is marked. In other embodiments, different weights may be added to the three conditions, for example, the nationality condition is satisfied and the score is 5, the age condition is satisfied and the score is 3, the condition of the working life is satisfied and the score is 2, and the score is 10.
It can be understood that, in other embodiments, each item in the basic information of the incoming line customer may be matched with a preset basic information standard, a corresponding preset score is set for each item, if a certain item is successfully matched, the corresponding preset score is added, and then the preset scores corresponding to the successfully matched items are superimposed to calculate the final basic score.
In other embodiments, the basic score may be set to a full score, each item in the basic information of the incoming line customer is matched with a preset basic information standard, and if a certain item is not matched, the preset score corresponding to the unmatched item is deducted on the basis of the full score, so as to obtain a final basic score.
Step S304, obtaining product information corresponding to the basic information of the incoming line customer, matching each item in the product information of the incoming line customer with a preset product information standard, and if the product information of the incoming line customer has a successfully matched item, calculating the product score of the incoming line customer according to a preset mode.
In this embodiment, the product information refers to information related to products that the incoming line customer has historically purchased, and corresponds to basic information of the incoming line customer. For example, an incoming customer purchases a life insurance, and the product-related information may include the applicant, the life insurance type, whether the policy is valid, and the like. The life insurance is life insurance, which is an insurance subject to life or death of a person.
In this embodiment, each item in the product information of the incoming line customer is matched with a preset product information standard, if a certain item is successfully matched, a preset score corresponding to the item is added, otherwise, no score is added. And finally, adding all the preset scores corresponding to the successfully matched items to obtain the final product score. It is understood that, in other embodiments, the product score may be set to a full score, each item in the product information of the incoming line customer is matched with a preset product information standard, and if a certain item is not matched, the preset score corresponding to the unmatched item is deducted on the basis of the full score to obtain the final product score.
For example, the product information of the incoming line customer is "the insurance applicant is the same person", "the life insurance category is the traditional type", and "the policy is valid", the preset product information standard is "the insurance applicant is the same person", "the life insurance category is the reddish type", and "the policy is valid", and the corresponding preset scores are 1 score, 2 score, and 3 score, respectively. And matching each item in the product information of the incoming line customer with a preset product information standard. The product information, namely the ' insurance applicant ' and ' the ' policy validity ' are respectively matched with corresponding items in the preset product information standard, the product score plus corresponding preset scores are respectively 1 score and 3 scores, and the ' life insurance type is the traditional type ' is not matched with the corresponding items in the preset product information standard, so that no score is added. The final product score was 4.
In this embodiment, each item in the product information of the incoming line customer is matched with a preset product information standard, so that the product score is calculated, the calculation precision of the product score is improved, and the accuracy of the recommendation result is improved.
And S306, acquiring the credit record of the incoming line customer according to the basic information of the incoming line customer, and if the credit record of the incoming line customer is successfully acquired, calculating the service score of the incoming line customer according to the credit record of the incoming line customer.
In this embodiment, the credit record refers to a description of the credit of the economic entity represented by a certain symbol or text after the credit rating organization evaluates the information from a certain channel or social party according to a certain standard and index and can judge the credit status of the economic entity.
In this embodiment, a credit record of an incoming line customer is obtained according to basic information of the incoming line customer, if the credit record of the incoming line customer is successfully obtained, default information of the incoming line customer is obtained according to the credit record of the incoming line customer, and if no default information exists, a corresponding preset score is added; and if the default information exists, judging whether the default information accords with a preset default standard, and if the default information accords with the preset default standard, calculating the service score of the incoming line customer according to the credit record of the incoming line customer.
Specifically, whether default times, default days and default persons in the credit records meet preset default standards or not is judged, and if the default times, the default days and the default persons meet the preset default standards, the service score of the incoming line customer is calculated according to the credit records of the incoming line customer.
In this embodiment, the default criteria are: default information of default days more than 30 days cannot appear in 1 time in the first and third months; default information that 2 default days exceed 30 days or 1 default day exceeds 60 days cannot occur in the second and the sixth months; default information of default days exceeding 90 days cannot appear for 1 time in the third and twelfth months; fourth, the default person is a non-product purchaser.
In this embodiment, if the acquisition of the credit record fails, no point is added. If the credit record is successfully acquired, acquiring default information in the credit record, and if the default information is not acquired, adding 1 to the service score; and if the default information is acquired, matching the default times, default days and default people in the default information with the preset default standard respectively, and if the default information is not matched with the preset default standard, adding 1 to the service score.
It is understood that, in other embodiments, a full score may be set for the service score, the reservation information may be matched with the default criteria, and if the reservation information does not match with one of the default criteria, the corresponding default score may be deducted based on the full score to obtain a final service score.
In the embodiment, the final service score is obtained by comparing the default times, the default days and the default people, so that the calculation precision of the service score is improved, and the accuracy of the recommendation result is improved.
And step S308, calculating the recommended value of the incoming line customer according to the basic value, the product value and the service value.
In this embodiment, step S302, step S304, and step S306 have no execution sequence, and may be executed in parallel. And adding the basic score, the product score and the service score which are obtained in the steps S302 to S306 to obtain the final recommended score of the incoming line customer. For example, if the base score of the statistics is 1 point, the product score is 2 points, and the service score is 0 point, the obtained recommendation score is 3 points.
In other embodiments, one or more of the base score, the product score, and the service score may be derived from the results calculated in steps S302 through S306. The recommended score of the incoming customer is calculated based on the one or more of the base score, the product score, and the business score.
And S310, determining a recommendation result of the incoming line customer according to the recommendation score of the incoming line customer, and displaying the recommendation result of the customer.
In this embodiment, the recommendation score is preset to a plurality of score ranges, each score range corresponds to a recommendation result, and then the recommendation result of the incoming line customer is determined according to the recommendation score calculated in step S308 and the preset score range. And displaying the final recommendation result on a terminal, wherein the terminal refers to the outermost equipment of the network and is mainly used for inputting user information, outputting a processing result and the like. It is understood that the terminal may be, but is not limited to, a personal computer, a mobile terminal, an electronic wearable device, and the like.
For example, the preset score range and the corresponding recommendation result include: 0 is classified as "not recommended", 1-2 is classified as "recommendable", and 3 or more is classified as "strongly recommended". If the obtained recommendation score is 2, the final recommendation result is 'recommendable'. Fig. 4 is a schematic diagram of a recommendation result display interface in an embodiment, as shown in fig. 4, the recommendation result display interface includes a basic information display module 402 and a recommendation result display module 404, where the basic information display module 402 displays basic information of an incoming line customer, and the recommendation result display module 404 displays a recommendation result corresponding to the incoming line customer.
In other embodiments, the recommendation result is determined according to the recommendation score and a preset score range, and the recommendation result may include a specific recommended product type. For example, for credit card a, the preset score range and the corresponding recommendation may include: 0 is classified as "not recommended", 1-2 is classified as "recommendable credit card a", 3-4 is classified as "strongly recommended credit card a or recommendable credit card B", and 5 or more is classified as "strongly recommended credit card a or credit card B".
In the embodiment, the relevant information of the incoming line customer is obtained through the identity of the incoming line customer, the basic value, the product value and the service value are calculated according to the relevant information, so that the recommended value is obtained, and then the final recommended result is obtained according to the recommended value. The basic score reflects whether the incoming line customer meets the basic conditions of the product, the product score reflects whether the incoming line customer meets the product conditions, and the business score reflects the integrity of the incoming line customer. The customer service recommends the product in a targeted manner according to the recommendation result, so that the success rate of recommending the product is higher, the service processing efficiency is improved, and a large amount of service processing time is saved.
Fig. 5 is a schematic configuration diagram of a client information processing apparatus in one embodiment. As shown in fig. 5, the client information processing apparatus 500 includes a basic score calculation module 502, a product score calculation module 504, a service score calculation module 506, a recommendation score calculation module 508, and a recommendation result presentation module 510, wherein:
a basic score calculating module 502, configured to obtain basic information of an incoming line customer according to an identity of the incoming line customer, and if the basic information meets a preset condition, calculate a basic score of the incoming line customer according to the basic information.
In other embodiments, the basic score calculating module 502 is further configured to match each item in the basic information of the incoming line customer with a preset basic information standard, and if the item is successfully matched, calculate the basic score of the incoming line customer according to a preset manner.
And a product score calculation module 504, configured to calculate a product score of the incoming line customer according to the product information if there is product information corresponding to the basic information of the incoming line customer.
In other embodiments, the product score calculation module 504 is further configured to match each item in the product information of the incoming line customer with a preset product information standard, and if there is an item that is successfully matched in the product information of the incoming line customer, calculate the product score of the incoming line customer according to a preset manner.
A service score calculating module 506, configured to calculate a service score of the incoming line customer according to the service information of the incoming line customer if service information corresponding to the basic information of the incoming line customer exists.
In other embodiments, the service score calculating module 506 is further configured to obtain a credit record of the incoming line customer according to the basic information of the incoming line customer, and if the credit record of the incoming line customer is successfully obtained, calculate the service score of the incoming line customer according to the credit record of the incoming line customer.
And a recommendation score calculation module 508, configured to calculate a recommendation score of the incoming customer according to at least one of the base score, the product score, and the service score.
In other embodiments, the service score calculation module 508 is further configured to obtain a credit record of the incoming line customer according to the basic information of the incoming line customer, and if default information in the credit record of the incoming line customer meets a preset default standard, calculate the service score of the incoming line customer according to the credit record of the incoming line customer.
In other embodiments, the service score calculation module 508 is further configured to calculate the service score of the incoming customer according to the credit record of the incoming customer if the number of default times, the number of default days, and the default people in the credit record of the incoming customer meet the preset default standard.
And a recommendation result display module 510, configured to determine a recommendation result of the incoming line customer according to the recommendation score of the incoming line customer, and display the recommendation result of the customer.
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 non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), or the like.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A client information processing method, comprising:
acquiring basic information of an incoming line customer according to an identity of the incoming line customer, and if the basic information meets a preset condition, calculating a basic score of the incoming line customer according to the basic information;
if product information corresponding to the basic information of the incoming line customer exists, calculating the product score of the incoming line customer according to the product information, wherein the product information refers to the related information of products historically purchased by the incoming line customer;
if business information corresponding to the basic information of the incoming line customer exists, calculating the business score of the incoming line customer according to the business information of the incoming line customer, wherein the business information refers to relevant information generated by the incoming line customer in the using process of a product, and the business information comprises credit records of the incoming line customer;
calculating a recommended score of the incoming customer according to at least one of the base score, the product score and the service score; and
determining a recommendation result of the incoming line customer according to the recommendation score of the incoming line customer, and displaying the recommendation result of the customer;
before calculating the recommendation score, judging whether the basic score is 0, if so, recording the final recommendation score as 0 no matter whether the product score and the service score are 0; and if the basic score is not 0, adding one of the basic score, the product score and the service score to obtain the final recommendation score.
2. The method of claim 1, wherein if the basic information meets a preset condition, calculating a base score of the incoming line customer according to the basic information comprises:
and matching each item in the basic information of the incoming line customer with a preset basic information standard, and if each item is successfully matched, calculating the basic score of the incoming line customer according to a preset mode.
3. The method of claim 1, wherein the calculating the incoming customer's product score based on the product information comprises:
and matching each item in the product information of the incoming line customer with a preset product information standard, and if the product information of the incoming line customer has a successfully matched item, calculating the product score of the incoming line customer according to a preset mode.
4. The method of claim 1, wherein if business information corresponding to the basic information of the incoming line customer exists, calculating the business score of the incoming line customer according to the business information of the incoming line customer comprises:
and acquiring a corresponding credit record according to the basic information of the incoming line customer, and if the credit record is successfully acquired, calculating the service score of the incoming line customer according to the credit record.
5. The method according to any one of claims 1 to 4, wherein if service information corresponding to basic information of the incoming line customer exists, calculating the service score of the incoming line customer according to the service information of the incoming line customer comprises:
and acquiring a corresponding credit record according to the basic information of the incoming line customer, and if default information in the credit record meets a preset default standard, calculating the service score of the incoming line customer according to the credit record.
6. A client information processing apparatus characterized by comprising:
the basic score calculation module is used for acquiring basic information of an incoming line customer according to an identity of the incoming line customer, and if the basic information meets a preset condition, calculating the basic score of the incoming line customer according to the basic information;
the product score calculation module is used for calculating the product score of the incoming line customer according to the product information if the product information corresponding to the basic information of the incoming line customer exists, wherein the product information refers to the related information of the product historically purchased by the incoming line customer;
the service score calculation module is used for calculating the service score of the incoming line customer according to the service information of the incoming line customer if the service information corresponding to the basic information of the incoming line customer exists, wherein the service information refers to the relevant information generated by the incoming line customer in the using process of a product, and the service information comprises the credit record of the incoming line customer;
the recommendation score calculation module is used for calculating the recommendation score of the incoming line customer according to at least one of the basic score, the product score and the service score; before calculating the recommendation score, judging whether the basic score is 0, if so, recording the final recommendation score as 0 no matter whether the product score and the service score are 0; if the basic score is not 0, one of the basic score, the product score and the service score is added to obtain a final recommendation score;
and the recommendation result display module is used for determining the recommendation result of the incoming line customer according to the recommendation score of the incoming line customer and displaying the recommendation result of the customer.
7. The apparatus of claim 6, wherein the basic score calculating module is further configured to match each item in the basic information of the incoming line customer with a preset basic information standard, and if the item is successfully matched, calculate the basic score of the incoming line customer according to a preset manner.
8. The apparatus of claim 6, wherein the product score calculation module is further configured to match each item in the product information of the incoming line customer with a preset product information standard, and if there is a successfully matched item in the product information of the incoming line customer, calculate the product score of the incoming line customer according to a preset manner.
9. The apparatus of claim 6, wherein the service score calculating module is further configured to obtain a corresponding credit record according to the basic information of the incoming line customer, and if the credit record is successfully obtained, calculate the service score of the incoming line customer according to the credit record.
10. The apparatus according to any one of claims 6 to 9, wherein the service score calculation module is further configured to obtain a corresponding credit record according to the basic information of the incoming line customer, and calculate the service score of the incoming line customer according to the credit record if default information in the credit record meets a preset default criterion.
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