CN114638541A

CN114638541A - Outbound client allocation processing method and device based on staging service

Info

Publication number: CN114638541A
Application number: CN202210371731.1A
Authority: CN
Inventors: 刘景力; 赵泽宇; 徐佳妮; 李彬
Original assignee: Industrial and Commercial Bank of China Ltd ICBC
Current assignee: Industrial and Commercial Bank of China Ltd ICBC
Priority date: 2022-04-11
Filing date: 2022-04-11
Publication date: 2022-06-17

Abstract

The invention provides an outbound client allocation processing method and device based on staging service, relates to the technical field of data allocation processing, and can be used in the financial field or other technical fields. The method comprises the following steps: acquiring a willingness value of a client for handling the staging service and an acceptance degree value of the client for telemarketing; calculating and reflecting the expected value of the profit for the client to consume the staging service according to the willingness value, the acceptance degree value and the staging amount of the staging service transacted by the client; arranging the expected profit values in a sequence from high to low, and sequentially selecting a corresponding number of target customers from an arrangement result according to a preset outbound volume of a unit time interval; and allocating the target client to a target unit time interval for calling out. The device performs the above method. The outbound client allocation processing method and device based on the staging service provided by the embodiment of the invention optimize outbound client resource data allocation and are beneficial to developing marketing services efficiently.

Description

Outbound client allocation processing method and device based on staging service

Technical Field

The invention relates to the technical field of data distribution processing, in particular to a method and a device for distributing and processing an outbound client based on staging service.

Background

In order to develop the client to handle the staging service, the financial institution can develop the service in a telemarketing mode, and the customer manager can call the client out to realize telemarketing in a mode of distributing a client list for the customer manager.

However, the way of allocating the client list to the client manager cannot reflect the differentiation between clients, and neglects the influence of the outbound selection time on the service development, so that the outbound client resource data is improperly allocated, and the telemarketing effect is poor, and therefore, there is a strong need to optimize the data allocation method.

Disclosure of Invention

To solve the problems in the prior art, embodiments of the present invention provide a method and an apparatus for processing outbound client assignment based on staging service, which can at least partially solve the problems in the prior art.

On one hand, the invention provides an outbound client allocation processing method based on staging service, which comprises the following steps:

acquiring a willingness value of a client for handling the staging service and an acceptance degree value of the client for telemarketing;

calculating and reflecting the expected value of the profit for the client to consume the staging service according to the willingness value, the acceptance degree value and the staging amount of the staging service transacted by the client;

arranging the expected profit values in a sequence from high to low, and sequentially selecting a corresponding number of target clients from an arrangement result according to a preset outbound volume of a unit time interval;

distributing the target client to a target unit time interval for outbound; and the target unit time interval is determined sequentially according to the telemarketing success rate corresponding to the historical unit time interval from high to low.

The method for acquiring the willingness value of the client to handle the staging service comprises the following steps:

acquiring customer data, wherein the customer data comprises customer conventional characteristic data and service special characteristic data;

predicting the client data based on a preset staging service intention prediction model to obtain an intention value of the client for handling staging services; the preset staging business willingness prediction model is obtained by training a two-classification model based on client sample data.

Wherein the customer conventional characteristic data at least comprises customer basic information, customer product information, customer transaction behavior information and customer asset information; the service specific feature data comprises at least billing information and additional transaction information.

And the two classification models are learning algorithm lightGBM based on decision trees.

Wherein, obtaining the acceptance degree value of the customer for the telemarketing comprises:

calculating the historical call completing rate of the client according to the ratio of the historical call completing times to the historical call outgoing times;

calculating the average historical call duration of the customer according to the ratio of the sum of the historical call durations to the historical call times;

and normalizing the historical average call duration, and calculating the acceptance degree value of the customer for the telemarketing according to the normalized historical average call duration and the normalized historical call completing rate.

Wherein, the calculating and reflecting the expected value of the profit used for the transaction consumption of the client according to the willingness value, the acceptance degree value and the transaction amount of the client for the transaction of the extension comprises:

and taking the product of the willingness value, the acceptance degree value and the dividable amount as the expected profit value.

Wherein, determining the preset outbound volume of the unit time interval comprises:

acquiring the average outbound volume of each customer manager in a unit time interval;

and taking the product result of the average outbound volume and the number of the client managers as the preset outbound volume of the unit time interval.

In one aspect, the present invention provides an outbound client allocation processing apparatus based on staging service, including:

the system comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring a willingness value of a client for handling staging business and an acceptance degree value of the client for telemarketing;

the calculation unit is used for calculating and reflecting the expected profit value of the client for the staging service consumption according to the willingness value, the acceptance degree value and the staging amount of the staging service transacted by the client;

the selection unit is used for arranging the expected profit values in a descending order and sequentially selecting a corresponding number of target customers from the arrangement result according to the preset outbound volume of the unit time interval;

the distribution unit is used for distributing the target client to a target unit time interval for outbound; and the target unit time interval is determined sequentially according to the telemarketing success rate corresponding to the historical unit time interval from high to low.

In another aspect, an embodiment of the present invention provides an electronic device, including: a processor, a memory, and a bus, wherein,

the processor and the memory are communicated with each other through the bus;

the memory stores program instructions executable by the processor, the processor invoking the program instructions to perform a method comprising:

arranging the expected profit values in a sequence from high to low, and sequentially selecting a corresponding number of target customers from an arrangement result according to a preset outbound volume of a unit time interval;

distributing the target client to a target unit time interval for outbound; and the target unit time interval is sequentially determined according to the telemarketing success rate corresponding to the historical unit time interval from high to low.

An embodiment of the present invention provides a non-transitory computer-readable storage medium, including:

the non-transitory computer readable storage medium stores computer instructions that cause the computer to perform a method comprising:

acquiring a willingness value of a client for handling staging business and an acceptance degree value of the client for telemarketing;

The method and the device for allocating and processing the outbound client based on the staging service, provided by the embodiment of the invention, are used for acquiring a willingness value of the client for handling the staging service and an acceptance degree value of the client for telemarketing; calculating and reflecting the expected value of the profit for the client to consume the staging service according to the willingness value, the acceptance degree value and the staging amount of the staging service transacted by the client; arranging the expected profit values in a sequence from high to low, and sequentially selecting a corresponding number of target customers from an arrangement result according to a preset outbound volume of a unit time interval; distributing the target client to a target unit time interval for outbound; the target unit time interval is determined in sequence from high to low according to the telemarketing success rate corresponding to the historical unit time interval, so that the outbound customer resource data distribution is optimized, and the marketing business can be developed efficiently.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts. In the drawings:

fig. 1 is a flowchart illustrating an outbound client allocation processing method based on staging service according to an embodiment of the present invention.

Fig. 2 is a flowchart illustrating an outbound client allocation processing method based on staging service according to another embodiment of the present invention.

Fig. 3 is a schematic structural diagram of an outgoing call client allocation processing apparatus based on an staging service according to an embodiment of the present invention.

Fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the embodiments of the present invention are further described in detail below with reference to the accompanying drawings. The exemplary embodiments and descriptions of the present invention are provided to explain the present invention, but not to limit the present invention. It should be noted that the embodiments and features of the embodiments in the present application may be arbitrarily combined with each other without conflict.

Fig. 1 is a schematic flow chart of a method for processing outgoing call client allocation based on staging service according to an embodiment of the present invention, and as shown in fig. 1, the method for processing outgoing call client allocation based on staging service according to an embodiment of the present invention includes:

step S1: and acquiring a willingness value of the client to handle the staging service and an acceptance degree value of the client for the telemarketing.

Step S2: and calculating and reflecting the expected profit value of the client for the staging service consumption according to the willingness value, the acceptance degree value and the staging amount of the staging service transacted by the client.

Step S3: and arranging the expected profit values in a sequence from high to low, and sequentially selecting a corresponding number of target customers from the arrangement result according to the preset outbound volume of the unit time period.

Step S4: distributing the target client to a target unit time interval for outbound; and the target unit time interval is determined sequentially according to the telemarketing success rate corresponding to the historical unit time interval from high to low.

In the above step S1, the apparatus acquires a value of the client 'S willingness to handle the staging service and a value of the client' S receptivity to telemarketing. The apparatus may be a computer device that performs the method, and the computer device may be a server. The willingness value of the client to handle the staging service can reflect the degree of the willingness of the client to handle the staging service, and is represented by a numerical value between 0 and 1, wherein the larger the numerical value is, the stronger the willingness of the client to handle the staging service is; the smaller the value, the weaker the willingness of the client to handle the staging service.

The customer can reflect the degree of acceptance of the customer to telemarketing aiming at the acceptance degree value of the telemarketing, the degree is represented by a numerical value between 0 and 1, and the larger the numerical value is, the stronger the customer is to the telemarketing; the smaller the value, the less acceptable the customer is to telemarketing.

Acquiring a willingness value of a client to handle the staging service, comprising the following steps:

acquiring customer data, wherein the customer data comprises customer conventional characteristic data and service special characteristic data; the client conventional characteristic data at least comprises client basic information, client product information, client transaction behavior information and client asset information; the service specific feature data comprises at least billing information and additional transaction information. The specific description is shown in table 1:

TABLE 1

Predicting the client data based on a preset staging service intention prediction model to obtain an intention value of the client for handling the staging service; the preset staging business willingness prediction model is obtained by training a two-classification model based on client sample data. The client data can be input into a preset staging service intention prediction model, and the output result of the preset staging service intention prediction model is used as a prediction result.

The two classification models are learning algorithm lightGBM based on decision trees. The LightGBM (light Gradient Boosting machine) is an open-source framework for realizing the GBDT algorithm and supports efficient parallel training.

GBDT (gradient Boosting Decision Tree) is a model in machine learning, the main idea is to use a weak classifier (Decision tree) to conduct iterative training to obtain an optimal model, and the model has the advantages of good training effect, difficulty in overfitting and the like.

The second classification algorithm is a customer intention analysis and modeling algorithm which is widely applied at present. The main idea is to classify the final purchase and handling situation of the customer as positive and negative samples. And meanwhile, the financial characteristics of the client, such as basic information, product information and the like, are collected. And establishing a binary classification model by adopting a tree algorithm or an integrated tree algorithm lightGBM. The probability output from the model is applied as a result.

As shown in fig. 2, establishing a preset staging business will prediction model includes:

1) feature selection

More than 120 characteristics are screened out from the customer image set through business understanding, wherein the characteristics comprise basic customer information such as age, occupation and academic calendar, customer product information such as mobile phone banking and debit cards, customer asset information such as deposit and financing, and customer transaction behavior information such as mobile phone banking user time. Through service research, extra transaction information such as client credit card cash-out, high-commission account transfer and the like and bill information such as historical limit occupation conditions and the like are extracted.

2) Feature screening

And determining the importance degree of each feature, and selecting the features with higher importance degrees.

3) Data modeling

By comparing the AUC values of the XGboost and lightGBM algorithms, the lightGBM algorithm is finally adopted as the modeling algorithm. The modeling and verification were performed using the steps shown in fig. 2. The AUC values were used to evaluate the training effect of a two-class model.

4) Data results

And obtaining a willingness value P of each client for handling the staging service through the output of the lightGBM.

Obtaining an acceptance degree value of a customer for telemarketing, comprising:

calculating the historical call completing rate of the client according to the ratio of the historical call completing times to the historical call outgoing times; referring to the above description, the willingness value PA for the client a to handle the staging service is obtained, and for the client a, the historical call completing rate of the client a can be calculated, and the historical call completing times and the historical call out times can be understood as all the historical call completing times and the historical call out times associated with the staging service, and the time aspect can be historical data of the last year or historical data of all the years.

Calculating the average historical call duration of the customer according to the ratio of the sum of the historical call durations to the historical call times; the average historical call duration of the client a can be calculated, and the sum of the historical call durations and the historical call times can be understood as the sum of all historical call durations and the historical call times associated with the staging service, and the time aspect may be historical data of the last year or historical data of all years.

And normalizing the historical average call duration, and calculating the acceptance degree value of the customer for the telemarketing according to the normalized historical average call duration and the normalized historical call completing rate. The average time length of the historical telephone conversation after normalization processing is a numerical value between 0 and 1, unified calculation is convenient, and the specific normalization processing method is mature in the field and is not described any more.

The historical call completing rate is linearly related to the degree of telemarketing acceptance of the client, and the average time length of the historical telephone calls is linearly related to the degree of telemarketing acceptance of the client.

And recording the acceptance degree value of the customer for the telemarketing as R, and for the customer A, RA is the average time length of the historical telephone call after the historical telephone call completing rate plus the normalization processing.

In the above step S2, the apparatus calculates the expected profit value reflecting the customer' S consumption for the staging service, based on the will value, the acceptance degree value, and the staging amount for the customer to handle the staging service. The amount of the installment for handling the installment service to the client is described as follows:

the instable amount of the client for handling the instable business is the total amount consumed in the client bill, namely the amount which cannot be instable in the client bill (mainly for house property consumption).

For example, a client paying 25 days per month sums up the money spent by swiping cards from 1 to 31 days in the last month (e.g. 2 ten thousand yuan), and subtracts the money which cannot be instanced (there is a 1000 yuan consumption which cannot be instanced), so that the instanceable money of the client is 1.9 ten thousand yuan.

The calculating and reflecting the expected value of the profit consumed by the client for the staging service according to the willingness value, the acceptance degree value and the staging amount for transacting the staging service by the client comprises the following steps:

and taking the product result of the willingness value, the acceptance degree value and the schedulable amount as the expected benefit value. That is, the expected revenue value is calculated by the following formula:

E＝P×R×amt

where E is the expected value of benefit, P is the willingness value, R is the acceptance degree value, and amt is the dividable amount, it can be understood that each customer has the willingness value, the acceptance degree value, and the dividable amount corresponding thereto, so that each customer has the expected value of benefit corresponding thereto.

In the above step S3, the device ranks the expected revenue value in order from high to low, and selects a corresponding number of target customers from the ranking result in order according to the preset outbound volume per unit time period. The expected revenue values are ranked from high to low, and the ranking results are recorded as E1-En.

The unit time interval can be selected as hour, the preset outbound volume can be set autonomously according to the actual condition, and can also be calculated according to the following steps:

acquiring the average outbound volume of each customer manager in a unit time interval; for example, the working time of this month is 25 days, the working time is 8 hours per day, the number of client managers is 30, and the total outbound call amount of all the client managers in these time periods is Y, then:

the average outbound call amount is Y/(30 × 8 × 25).

And taking the product result of the average outbound volume and the number of the client managers as the preset outbound volume of the unit time interval. The preset outbound volume of the unit time interval is 30 multiplied by the average outbound volume. If the preset outbound volume is 450 units, selecting a first group of target clients corresponding to E001-E450 according to the sequence of E1-En, wherein the number of the first group of target clients is 450; and selecting a second group of target clients corresponding to E451-E900 according to the sequence of E1-En, wherein the number of the second group of target clients is 450, and the like. The call-out amount is 8 × 450 leads to 3600 leads per day.

If the total outbound service amount is 4.8 ten thousand customers, 12 days are needed to complete the total service amount (4.8 ten thousand/3600 pass).

In the above step S4, the device assigns the target client to the target unit period for outgoing call; and the target unit time interval is determined sequentially according to the telemarketing success rate corresponding to the historical unit time interval from high to low. If the current day is Monday, the hourly telemarketing success rates of past Monday are in the order of from high to low, the total number of the telemarketing success rates is 8, and the telemarketing success rates are marked as F2, F3 and F4 … F1, wherein F1 corresponds to 8 points earlier to 9 points earlier, F2 corresponds to 9 points earlier to 10 points earlier, and the like.

Referring to the above example, the first group of target clients are allocated to 9 am to 10 am corresponding to F2 for outbound, that is, the 30 client managers complete the outbound work.

And allocating the second group of target customers to the 10 pm-11 pm corresponding to the F3 for outbound, namely completing the outbound work by the 30 customer managers.

Telemarketing effect verification results, as shown in table 2:

TABLE 2

The verification data comparison shows that the method has higher successful outbound efficiency, for example, in the No. 1 area, 94.3% of the whole marketing amount (the whole business amount is calculated according to the total income of all telemarketing after the bill paying day is finished) can be reached when 6000 customers are outbound, while the traditional method can only reach half of the marketing benefit of the 6000 customers, namely, under the premise of the same target total amount, about 30-50% of marketing resources can be saved, and the marketing efficiency is greatly improved.

The method for allocating and processing the outbound client based on the staging service, provided by the embodiment of the invention, is used for acquiring a willingness value of the client for handling the staging service and an acceptance degree value of the client for telemarketing; calculating and reflecting the expected value of the profit for the client to consume the staging service according to the willingness value, the acceptance degree value and the staging amount of the staging service transacted by the client; arranging the expected profit values in a sequence from high to low, and sequentially selecting a corresponding number of target customers from an arrangement result according to a preset outbound volume of a unit time interval; distributing the target client to a target unit time interval for outbound; the target unit time interval is determined in sequence from high to low according to the telemarketing success rate corresponding to the historical unit time interval, so that the outbound customer resource data distribution is optimized, and the marketing business can be developed efficiently.

Further, obtaining a willingness value of the client to handle the staging service includes:

acquiring customer data, wherein the customer data comprises customer conventional characteristic data and service special characteristic data; reference is made to the above description and no further description is made.

Predicting the client data based on a preset staging service intention prediction model to obtain an intention value of the client for handling the staging service; the preset staging service intention prediction model is obtained by training a two-classification model based on client sample data. Reference is made to the above description and no further description is made.

The outbound client allocation processing method based on the staging service provided by the embodiment of the invention can comprehensively acquire the client data and improve the accuracy of the predicted willingness value.

Further, the customer conventional characteristic data at least comprises customer basic information, customer product information, customer transaction behavior information and customer asset information; the service specific feature data comprises at least billing information and additional transaction information.

The outbound client allocation processing method based on the staging service provided by the embodiment of the invention can further comprehensively acquire the client data and improve the accuracy of the predicted willingness value. Reference is made to the above description and no further description is made.

Further, the two classification models are learning algorithm lightGBM based on decision tree. Reference is made to the above description and no further description is given.

The outbound client allocation processing method based on the staging service further improves the accuracy of the predicted willingness value.

Further, obtaining an acceptance degree value of the customer for the telemarketing comprises:

calculating the historical call completing rate of the client according to the ratio of the historical call completing times to the historical call outgoing times; reference is made to the above description and no further description is made.

Calculating the average historical call duration of the customer according to the ratio of the sum of the historical call durations to the historical call times; reference is made to the above description and no further description is given.

And normalizing the historical average call duration, and calculating the acceptance degree value of the customer for the telemarketing according to the normalized historical average call duration and the normalized historical call completing rate. Reference is made to the above description and no further description is made.

The outbound customer allocation processing method based on the staging service provided by the embodiment of the invention can accurately calculate the acceptance degree value of the customer for the telemarketing.

Further, the calculating a profit expectation value reflecting the client's consumption for the staging service according to the willingness value, the acceptance degree value and the staging amount of the client handling the staging service includes:

and taking the product result of the willingness value, the acceptance degree value and the schedulable amount as the expected benefit value. Reference is made to the above description and no further description is made.

The outbound client allocation processing method based on the staging service provided by the embodiment of the invention can accurately calculate and reflect the expected profit value of the client for staging service consumption.

Further, determining the preset outbound volume of the unit time interval comprises:

acquiring the average outbound volume of each customer manager in a unit time interval; reference is made to the above description and no further description is made.

And taking the product result of the average outbound volume and the number of the client managers as the preset outbound volume of the unit time interval. Reference is made to the above description and no further description is made.

The outbound client allocation processing method based on the staging service provided by the embodiment of the invention can reasonably determine the preset outbound volume of a unit time interval.

It should be noted that the outgoing call client allocation processing method based on the staging service provided by the embodiment of the present invention can be used in the financial field, and can also be used in any technical field except the financial field.

Fig. 3 is a schematic structural diagram of an outbound client allocation processing apparatus based on staging service according to an embodiment of the present invention, and as shown in fig. 3, the outbound client allocation processing apparatus based on staging service according to an embodiment of the present invention includes an obtaining unit 301, a calculating unit 302, a selecting unit 303, and an allocating unit 304, where:

the obtaining unit 301 is configured to obtain a willingness value of a client to handle the staging service and an acceptance degree value of the client for telemarketing; the calculating unit 302 is configured to calculate an expected profit value reflecting consumption of the client for the staging service according to the willingness value, the acceptance level value, and the staging amount of the client for handling the staging service; the selecting unit 303 is configured to arrange the expected revenue values in a descending order, and sequentially select a corresponding number of target customers from an arrangement result according to a preset outbound volume per unit time period; the distribution unit 304 is used for distributing the target client to a target unit time interval for outbound; and the target unit time interval is determined sequentially according to the telemarketing success rate corresponding to the historical unit time interval from high to low.

Specifically, an obtaining unit 301 in the device is configured to obtain a willingness value of a client to handle an installment service and an acceptance degree value of the client for telemarketing; the calculating unit 302 is configured to calculate an expected profit value reflecting consumption of the client for the staging service according to the willingness value, the acceptance level value, and the staging amount of the client for handling the staging service; the selecting unit 303 is configured to arrange the expected revenue values in a descending order, and sequentially select a corresponding number of target customers from an arrangement result according to a preset outbound volume per unit time period; the distribution unit 304 is used for distributing the target client to a target unit time interval for outbound; and the target unit time interval is determined sequentially according to the telemarketing success rate corresponding to the historical unit time interval from high to low.

The outbound client allocation processing device based on the staging service, provided by the embodiment of the invention, acquires a willingness value of a client to handle the staging service and an acceptance degree value of the client for telemarketing; calculating and reflecting the expected value of the profit for the client to consume the staging service according to the willingness value, the acceptance degree value and the staging amount of the staging service transacted by the client; arranging the expected profit values in a sequence from high to low, and sequentially selecting a corresponding number of target customers from an arrangement result according to a preset outbound volume of a unit time interval; distributing the target client to a target unit time interval for outbound; the target unit time interval is determined in sequence from high to low according to the telemarketing success rate corresponding to the historical unit time interval, so that the outbound customer resource data distribution is optimized, and the marketing business can be developed efficiently.

Further, the obtaining unit 301 is specifically configured to:

predicting the client data based on a preset staging service intention prediction model to obtain an intention value of the client for handling the staging service; the preset staging business willingness prediction model is obtained by training a two-classification model based on client sample data.

The outbound client allocation processing device based on the staging service provided by the embodiment of the invention can comprehensively acquire the client data and improve the accuracy of the predicted willingness value.

Further, the customer regular characteristic data in the staging service-based outbound customer allocation processing device at least comprises customer basic information, customer product information, customer transaction behavior information and customer asset information; the service specific feature data comprises at least billing information and additional transaction information.

The outbound client allocation processing device based on the staging service provided by the embodiment of the invention can further comprehensively acquire client data and improve the accuracy of the predicted willingness value.

Further, the two classification models in the outbound client allocation processing device based on staging service are learning algorithm lightGBM based on decision tree.

The outbound client allocation processing device based on the staging service further improves the accuracy of the predicted willingness value.

Further, the obtaining unit 301 is specifically configured to:

The outbound customer allocation processing device based on the staging service provided by the embodiment of the invention can accurately calculate the acceptance degree value of the customer for the telemarketing.

Further, the calculating unit 302 is specifically configured to:

and taking the product result of the willingness value, the acceptance degree value and the schedulable amount as the expected benefit value.

The outbound client allocation processing device based on the staging service provided by the embodiment of the invention can accurately calculate and reflect the expected profit value of the client for the staging service consumption.

Further, the selecting unit 303 is specifically configured to:

The outbound client allocation processing device based on the staging service provided by the embodiment of the invention can reasonably determine the preset outbound volume of a unit time interval.

The embodiment of the device for allocating and processing an outbound client based on a staging service according to the present invention may be specifically configured to execute the processing flows of the above method embodiments, and the functions of the device are not described herein again, and refer to the detailed description of the method embodiments.

Fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention, and as shown in fig. 4, the electronic device includes: a processor (processor)401, a memory (memory)402, and a bus 403;

the processor 401 and the memory 402 complete communication with each other through a bus 403;

the processor 401 is configured to call the program instructions in the memory 402 to execute the methods provided by the above-mentioned method embodiments, for example, including:

The present embodiment discloses a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, enable the computer to perform the method provided by the above-mentioned method embodiments, for example, comprising:

calculating an expected value of the profit reflecting the consumption of the client for the staging service according to the willingness value, the acceptance degree value and the staging amount of the client for handling the staging service;

The present embodiment provides a computer-readable storage medium, which stores a computer program, where the computer program causes the computer to execute the method provided by the above method embodiments, for example, the method includes:

As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

In the description herein, reference to the description of the terms "one embodiment," "a particular embodiment," "some embodiments," "for example," "an example," "a particular example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are only exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.

Claims

1. An outbound client allocation processing method based on staging service is characterized by comprising the following steps:

2. The method for processing the distribution of the outbound client based on the staging service according to claim 1, wherein the obtaining of the willingness value of the client to handle the staging service comprises:

predicting the client data based on a preset staging service intention prediction model to obtain an intention value of the client for handling the staging service; the preset staging service intention prediction model is obtained by training a two-classification model based on client sample data.

3. The staging service-based outbound customer assignment processing method according to claim 2, wherein the customer regular characteristic data includes at least customer basic information, customer product information, customer transaction behavior information, and customer property information; the service specific feature data comprises at least billing information and additional transaction information.

4. The method of claim 2, wherein the two classification models are a learning algorithm lightGBM based on decision trees.

5. The method of claim 1, wherein obtaining the acceptance level of the customer for telemarketing comprises:

6. The method for processing allocation of outgoing call clients based on staging service according to any of claims 1 to 5, wherein said calculating an expected value of revenue reflecting client's consumption for staging service based on said willingness value, said acceptance degree value and the amount of staging money for client to handle staging service comprises:

7. The method according to any one of claims 1 to 5, wherein determining the preset outbound volume per unit time interval comprises:

8. An outbound client assignment processing apparatus based on staging service, comprising:

9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the steps of the method of any of claims 1 to 7 are implemented when the computer program is executed by the processor.

10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.