CN117196175A - Electric charge recycling strategy formulation method and system based on credit rating division - Google Patents
Electric charge recycling strategy formulation method and system based on credit rating division Download PDFInfo
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- CN117196175A CN117196175A CN202310946845.9A CN202310946845A CN117196175A CN 117196175 A CN117196175 A CN 117196175A CN 202310946845 A CN202310946845 A CN 202310946845A CN 117196175 A CN117196175 A CN 117196175A
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Abstract
The application belongs to the technical field of electric charge recovery, and provides an electric charge recovery strategy making method and system based on credit rating division, wherein the application carries out adding and subtracting according to payment record data, charge urging record data and business capability record data to obtain the credit rating score of an electric customer; compared with the traditional credit classification method, the credit classification method has the advantages that the quantitative classification of the credit class is realized by using a simple addition and subtraction method, the complexity of the classification process is reduced, the payment, the charge urging and the management capacity factors are considered to accurately reflect the payment condition and the capacity of the electricity consumption clients, and the determined charging strategy has higher pertinence, so that the problems that the good electricity consumption clients are wrongly classified as risk electricity consumption clients and the risk electricity consumption clients are wrongly classified as good electricity consumption clients can be avoided, the service quality in the electricity charge recovery process is ensured, and the electricity charge recovery risk is reduced.
Description
Technical Field
The application belongs to the technical field of electric charge recovery, and particularly relates to an electric charge recovery strategy formulation method and system based on credit rating division.
Background
In the face of the situation that the electric charge recovery risk points are more, the situation is changeable and severe, the omnibearing improvement of the electric charge risk management and control level is important for the development of power supply enterprises; in order to reduce the electric charge recycling risk and improve the service quality in the electric charge recycling process, part of power supply enterprises implement credit classification on electric customers, and a targeted charging strategy is adopted for the electric customers with lower credit classification to reduce the electric charge recycling risk.
The inventor finds that in the existing method for recovering the electric charge risk, when the electric customers are classified in grades, considered factors are inaccurate, and credit grade classification is generally carried out by adopting methods such as a neural network, and the like, so that the classification method is complex, and quantitative classification of the credit grade cannot be realized, thereby causing poor pertinence of a charging strategy formulated according to the credit grade classification; for example, when the good electricity customers are classified as risk electricity customers in error, service quality is affected when a targeted charging strategy is adopted, and when the risk electricity customers are classified as good electricity customers in error, an electricity fee recovery effect is affected when a general charging strategy is adopted, and the electricity fee recovery risk is increased.
Disclosure of Invention
Compared with the traditional credit classification method, the method for establishing the electric charge recovery strategy based on credit classification realizes quantitative classification of the credit classification by using a simple add-subtract method, reduces complexity of classification process, and can accurately reflect the payment condition and capability of the electricity consumer by considering payment, charge-urging and business capability factors, so that the determined charging strategy has higher pertinence, and the problems of classifying the good electricity consumer as the risk electricity consumer in error and classifying the risk electricity consumer as the good electricity consumer in error can be avoided.
In order to achieve the above object, the present application is realized by the following technical scheme:
in a first aspect, the present application provides a method for formulating an electric charge recycling policy based on credit rating division, including:
acquiring payment record data, fee-forcing record data and business capability record data of an electricity utilization client;
adding and subtracting the points according to the payment record data, the fee-forcing record data and the business capability record data to obtain the credit rating score of the electricity consumer;
and respectively formulating different electric charge recovery strategies for the electric clients corresponding to the credit grade scores in different segments.
Further, the payment record data comprises payment time and pre-receipt condition; the electricity customers pay the fees every lag one day after the preset monthly time point for one time of deduction; the pre-charge electric charge proportion reaches the preset percentage of the electric charge of the last month and the user is added.
Further, the electricity consumption clients are not paid for twice fee-forcing or need to go to the gate to urge the electricity consumption clients of fee, carry on the deduction.
Further, the fee-forcing flow is as follows:
informing the customer of the electricity charge and electric quantity information of the current month in a telephone inquiry mode and recording;
screening out details of the user who does not pay according to the date, and confirming the payment time with the electricity client again by adopting a telephone fee-forcing mode;
and screening out details of the user which are not paid again according to the scheduled date, carrying out a visit at the time appointed by the user, and informing the user of delayed payment or malicious delinquent electricity fee and a power failure program.
Further, the business capability record data includes loans, liabilities, and funding forces.
Further, the electricity consumer is subjected to the reduction when the loan problem occurs, the electricity consumer is subjected to the reduction when the liability occurs, and the electricity consumer is subjected to the reduction when the fund chain breaks.
Further, the credit rating score of the electricity utilization client for three months is average, and the electricity utilization client is divided into a high-quality electricity utilization client, a benign electricity utilization client and a dangerous electricity utilization client according to the height of the average; for high-quality electricity utilization clients and benign electricity utilization clients, a current electricity fee recovery strategy is adopted, and for dangerous electricity utilization clients, fee-forcing times are increased, and credit meaning and risks are sent.
In a second aspect, the present application further provides an electric charge recycling policy making system based on credit rating division, including:
a data acquisition module configured to: acquiring payment record data, fee-forcing record data and business capability record data of an electricity utilization client;
a credit rating equalization calculation module configured to: adding and subtracting the points according to the payment record data, the fee-forcing record data and the business capability record data to obtain the credit rating score of the electricity consumer;
a policy formulation module configured to: and respectively formulating different electric charge recovery strategies for the electric clients corresponding to the credit grade scores in different segments.
In a third aspect, the present application also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the electric charge recycling policy formulation method based on credit rating as described in the first aspect.
In a fourth aspect, the present application further provides an electronic device, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor, where the processor implements the steps of the electric charge recycling policy formulation method based on credit rating according to the first aspect when executing the program.
Compared with the prior art, the application has the beneficial effects that:
the application carries out adding and subtracting according to payment record data, fee-forcing record data and business capability record data to obtain credit grade scores of electricity customers; compared with the traditional credit classification method, the credit classification method has the advantages that the quantitative classification of the credit class is realized by using a simple addition and subtraction method, the complexity of the classification process is reduced, the payment, the charge urging and the management capacity factors are considered to accurately reflect the payment condition and the capacity of the electricity consumption clients, and the determined charging strategy has higher pertinence, so that the problems that the good electricity consumption clients are wrongly classified as risk electricity consumption clients and the risk electricity consumption clients are wrongly classified as good electricity consumption clients can be avoided, the service quality in the electricity charge recovery process is ensured, and the electricity charge recovery risk is reduced.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments and are incorporated in and constitute a part of this specification, illustrate and explain the embodiments and together with the description serve to explain the embodiments.
Fig. 1 is a credit rating evaluation factor chart of example 1 of the present application.
Detailed Description
The application will be further described with reference to the drawings and examples.
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
Example 1:
along with the development of a new round of electric power system, the traditional electricity selling end market will enter a multiple competition age, the market will play a decisive role in electric power resource allocation in the future, the development environment and market pattern of the electric power industry will be deeply changed, and the power supply enterprises will face the competition of other newly established electricity selling companies, and the power supply service mode and mode need to be changed. In the long term, the service level and brand image will become increasingly the key factors in determining the customer's choice of electricity selling entity. The information technology can change the work and life modes of people deeply, promote the change of ideas and ideas of people and accelerate the industrial revolution. With the development and popularization of internet technology, global economy is integrated, and various information such as goods, technologies, services and the like flows in the global scope. Any enterprise or individual can easily provide or acquire information resources at any time and any place by accessing the network, and the transaction process is rapidly completed, so that the transaction cost is reduced, and the maximum economic benefit is obtained.
How to effectively control the cost for enterprises and continuously increase the economic benefit is an urgent problem to be solved. In the current enterprise management and operation activities, enterprises are innovated continuously, products with high added values are actively developed, an innovative management mode is adopted, comprehensive intensive targets are adopted, the whole process cost reduction is adopted as a gripper, the whole personnel saving is adopted as a basis, the cost expenditure is saved continuously in the enterprise economic management process, the purposes of cost reduction and efficiency increase can be achieved, and the two benefits of enterprise economy and society are promoted continuously. As the competition main body of the electric power market, the power supply enterprises only continuously improve the service level, integrate and reform resources deeply, strive to adapt to the market requirements, and have internal quality and external plastic image, and attract customers to win the market by action, so that continuous healthy development is realized.
In order to adapt to the new situation of the reformation of the electric power system and the rapid development of new energy, the company implements the construction of the client-oriented high-quality service system. The ideas are released, the ideas are actively converted, and mechanism system innovation is carried out, wherein the establishment of a high-quality service mechanism with the client demands as the guide is a necessary way for companies to win electricity market competition and client satisfaction. The floor implementation of the high-quality service mechanism is to analyze the service short board, master customer appeal, focus on researching business process optimization and cross-professional collaboration, implement process reconstruction and mechanism innovation, and establish a new situation that the background serves the customer for the foreground, the upstream serves the downstream and the whole staff serves the customer.
In the existing method for recovering the electric charge risk adopted by the power supply enterprises, when the electric customers are classified in grades, considered factors are inaccurate, and credit grade classification is generally carried out by adopting methods such as a neural network, so that the classification method is complex, quantitative classification of the credit grade cannot be realized, and the pertinence of a charging strategy formulated according to the credit grade classification is poor; for example, when a risk electricity customer is wrongly classified as an excellent electricity customer, the electricity charge recovery effect can be affected when a general charging strategy is adopted, and the electricity charge recovery risk is increased; and when the good electricity customers are classified as risk electricity customers in error, the service quality is affected when a targeted charging strategy is adopted. Aiming at the problems, the embodiment provides an electric charge recycling strategy formulation method based on credit rating division, which comprises the following steps:
acquiring payment record data, fee-forcing record data and business capability record data of an electricity utilization client;
adding and subtracting the points according to the payment record data, the fee-forcing record data and the business capability record data to obtain the credit rating score of the electricity consumer;
and respectively formulating different electric charge recovery strategies for the electric clients corresponding to the credit grade scores in different segments.
Specifically, the implementation carries out adding and subtracting according to payment record data, fee-forcing record data and business capability record data to obtain credit grade scores of electricity customers; compared with the traditional credit classification method, the credit classification method has the advantages that the quantitative classification of the credit class is realized by using a simple addition and subtraction method, the complexity of the classification process is reduced, the payment, the charge urging and the management capacity factors are considered to accurately reflect the payment condition and the capacity of the electricity consumption clients, and the determined charging strategy has higher pertinence, so that the problems that the good electricity consumption clients are wrongly classified as risk electricity consumption clients and the risk electricity consumption clients are wrongly classified as good electricity consumption clients can be avoided, the service quality in the electricity charge recovery process is ensured, and the electricity charge recovery risk is reduced. And the users with different credit levels are classified from the viewpoint of electric charge recovery risk management by combining with the current situation of high-quality service management, so that the performance capability of the power users can be known timely and accurately, early warning information is provided, and the business risk is avoided.
The payment record data comprise payment time and pre-receipt conditions; the electricity customers pay the fees every lag one day after the preset monthly time point for one time of deduction; the pre-charge electric charge proportion reaches the preset percentage of the electric charge of the last month and the user is added. Optionally, the payment time is reduced by 10 points for each lag day of the user after 25 days, and the pre-charge electric charge proportion reaches 95% of the electric charge of the previous month and 5 points. The formula of the calculation formula is as follows:
first term score = - (a-25) 10+5 b
Wherein a is the payment date (day) of the last month; b is whether the pre-harvest reaches the standard, and the standard is 1, and the standard is not 0.
The electricity consumption clients pay no fee twice or need to go to the gate to pay fee, and the electricity consumption clients are reduced. Alternatively, the fee is not paid after two times of fee-forcing, or a customer who needs to go to the gate for fee-forcing is reduced by 10 minutes. The formula of the calculation formula is as follows:
second term score = -10×c
Wherein c is whether the above situation occurs, and is 1, otherwise, is 0.
The business capability record data comprises loans, liabilities and fund facts; the method comprises the steps of performing subtracting when the electricity consumer has a loan problem, performing subtracting when the electricity consumer has a liability, and performing subtracting when the electricity consumer has a fund chain break. Optionally, the bank traffic, loan, tax, liability, fund strength, market prospect and the like of the electric clients are known through visit. The loan problem is reduced by 10 points, the liabilities of the companies are reduced by 5 points, the fund chain breakage of the enterprises is reduced by 10 points, and other factors are only used as references and no score is recorded; it should be noted that, in this embodiment, when data such as bank transactions, loans, tax, liabilities, fund strength, market prospects and the like of the electric clients are obtained, the data is obtained through legal channels under the condition that the electric clients agree.
The formula of the calculation formula is as follows:
third term score = -10 x d-5*e-10 x f
Wherein d is whether a loan problem occurs, and is 1, otherwise, 0; e is whether liabilities appear, 1 appears, otherwise 0; f is whether a funding chain break occurs, and is 1, otherwise, is 0.
To sum up, the consumer credit rating score=100- (first score 0.7+second score 0.1+third score 0.2).
The credit rating score of the electricity utilization clients for three months is average, and the electricity utilization clients are divided into high-quality electricity utilization clients, benign electricity utilization clients and dangerous electricity utilization clients according to the height of the average; for high-quality electricity utilization clients and benign electricity utilization clients, a current electricity fee recovery strategy is adopted, and for dangerous electricity utilization clients, fee-forcing times are increased, and credit meaning and risks are sent. Alternatively, the power consumer credit rating class is classified into three months of consumer credit rating score averages, and if 90 or more are high-quality consumers (class a), 80-90 are benign consumers (class B), and 80 or less (excluding 80) are dangerous consumers (class C), the rating is revised every three months. And recording the evaluation grade condition in the client file, and reserving evaluation basis for evaluating the class C users, such as payment record screenshot, bank business records, liability records and the like.
In other embodiments, an execution layer is set up for specific implementation, responsibility is real to people, optionally, a high-pressure customer service class team leader is a first responsible person of the customer credit level, team members score the first responsible person according to the jurisdiction by standards, and the team leader is responsible for scoring the members and checking the evaluation conditions, so that information is ensured to be accurate.
In other embodiments, a monthly electricity fee recovery process statistics system is created, specifically, electricity fee arrearages of each power supply station and the central department are derived on 15 days and 20 days of each month, an excel formula is utilized to write the electricity fee recovery process statistics table, the electricity fee arrearages are accurately obtained until the electricity fee arrearages are completed, the number of electricity fee arrearages, the amount of remaining arrearages and the recovery rate are accurately mastered, and the whole process monitoring on the electricity fee recovery condition is facilitated.
The fee-forcing flow can be carried out according to three steps, specifically:
the prior art means is utilized to inform the electricity consumption customers of the current month electricity charge information. And initiating a first-pass fee-forcing program, inquiring the paying time of the electricity client by telephone and recording.
And screening out details of the user who does not pay according to the date, and confirming the payment time with the electricity customer again by adopting a telephone fee-forcing mode.
And screening out details of the user which are not paid again according to the scheduled date, carrying out a visit at the time appointed by the user, and informing the user of delayed payment or malicious delinquent electricity fee and a power failure program.
A power outage procedure is initiated.
In other embodiments, an electric charge month recovery condition regular meeting system can be established, after the electric charge is cleared at the end of month, each member of a team can explain the charging condition of the month one by one, special conditions (difficulty in charging and the like) encountered in the charging process are emphasized, reasonable suggestions of the members are timely collected and reported, and the general problem summarizing method is popularized.
In order to ensure that the non-resident electricity customer paying credit information is brought into the normal operation of the financial credit information service system, a report preparation and pushing pedestrian internal approval process is formulated, related credit investigation rules are issued in advance by sending short messages and WeChat, the meaning of the credit investigation is promoted greatly, the electricity customer is reminded to strictly watch the credit, the risk is avoided, and the timely fulfillment of the contract relation is ensured.
By constructing a new trinity electric charge risk control mode of risk pre-control, risk management and risk disposal, the existing mode of electric charge management is broken through, customer payment information is brought into a social credit system and a financial credit collection platform, classified management of customer payment reputation is realized, and on the premise that satisfactory service and proper pressure of customers are ensured, service channels are continuously expanded, and achievements of service modes are innovated. By pushing the information of the lost clients, the traditional charging mode habit of the clients can be changed, the electric charge recovery risk is greatly reduced, and the electric charge recovery rate is improved.
The embodiment defines the management and control responsibility of the electric charge recovery risk at all levels, perfects the management and control system of the electric charge recovery risk, optimizes and refines the precaution measures of electric charge risk users, standardizes the electric charge collection flow, and promotes the integral promotion of the marketing foundation management work of the company. The initiative and the enthusiasm of work are greatly improved, business details are continuously and deeply explored, the process and standard execution are enhanced, and the quality of personnel business and the service level are remarkably improved. The marketing service quality is effectively controlled, the high-quality service level is continuously improved, the electric charge recycling risk is reduced, the electric charge fund return speed is improved, the credit consciousness of electricity consumers is enhanced, and the method plays a positive role in promoting the construction of a social integrity system. The method realizes effective management and control of the electric charge recycling risk, improves the customer satisfaction degree and improves the acceptance degree of vast high-quality customers.
Example 2:
the embodiment provides an electric charge recycling strategy formulation method based on credit rating division, which comprises the following steps:
a data acquisition module configured to: acquiring payment record data, fee-forcing record data and business capability record data of an electricity utilization client;
a credit rating equalization calculation module configured to: adding and subtracting the points according to the payment record data, the fee-forcing record data and the business capability record data to obtain the credit rating score of the electricity consumer;
a policy formulation module configured to: and respectively formulating different electric charge recovery strategies for the electric clients corresponding to the credit grade scores in different segments.
The working method of the system is the same as the method for formulating the electric charge recycling policy based on credit rating division in embodiment 1, and will not be described here again.
Example 3:
the present embodiment provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the electric charge recycling policy formulation method based on credit rating as described in embodiment 1.
Example 4:
the present embodiment provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of the credit-class-based electricity rate recycling policy formulation method described in embodiment 1 when executing the program.
The above description is only a preferred embodiment of the present embodiment, and is not intended to limit the present embodiment, and various modifications and variations can be made to the present embodiment by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present embodiment should be included in the protection scope of the present embodiment.
Claims (10)
1. The utility model provides an electric charge recovery strategy formulation method based on credit rating division, which is characterized by comprising the following steps:
acquiring payment record data, fee-forcing record data and business capability record data of an electricity utilization client;
adding and subtracting the points according to the payment record data, the fee-forcing record data and the business capability record data to obtain the credit rating score of the electricity consumer;
and respectively formulating different electric charge recovery strategies for the electric clients corresponding to the credit grade scores in different segments.
2. The method for developing an electric charge recycling strategy based on credit rating as set forth in claim 1, wherein the payment record data includes a payment time and a pre-receipt condition; the electricity customers pay the fees every lag one day after the preset monthly time point for one time of deduction; the pre-charge electric charge proportion reaches the preset percentage of the electric charge of the last month and the user is added.
3. The method for developing an electric charge recycling strategy based on credit rating as set forth in claim 1, wherein the electric customers pay no fee twice or need to go to gate to pay fee, and the electric customers are reduced.
4. The method for formulating the electric charge recycling strategy based on credit rating as set forth in claim 1, wherein the charge-promoting flow is as follows:
informing the customer of the electricity charge and electric quantity information of the current month in a telephone inquiry mode and recording;
screening out details of the user who does not pay according to the date, and confirming the payment time with the electricity client again by adopting a telephone fee-forcing mode;
and screening out details of the user which are not paid again according to the scheduled date, carrying out a visit at the time appointed by the user, and informing the user of delayed payment or malicious delinquent electricity fee and a power failure program.
5. The electric charge recycling policy setting method based on credit rating as set forth in claim 1, wherein the business capability record data includes loans, liabilities and funding forces.
6. The electric charge recycling strategy formulation method based on credit rating as set forth in claim 5, wherein the electric customers are subjected to a reduction when they have a loan problem, the electric customers are subjected to a reduction when they have a liability, and the electric customers are subjected to a reduction when they have a broken fund chain.
7. The electric charge recycling strategy formulation method based on credit rating division as set forth in claim 1, wherein the credit rating score of the electric customers is averaged for three months, and the electric customers are classified into high-quality electric customers, benign electric customers and dangerous electric customers according to the level of the average; for high-quality electricity utilization clients and benign electricity utilization clients, a current electricity fee recovery strategy is adopted, and for dangerous electricity utilization clients, fee-forcing times are increased, and credit meaning and risks are sent.
8. The utility model provides an electric charge recovery strategy formulation method based on credit rating division, which is characterized by comprising the following steps:
a data acquisition module configured to: acquiring payment record data, fee-forcing record data and business capability record data of an electricity utilization client;
a credit rating equalization calculation module configured to: adding and subtracting the points according to the payment record data, the fee-forcing record data and the business capability record data to obtain the credit rating score of the electricity consumer;
a policy formulation module configured to: and respectively formulating different electric charge recovery strategies for the electric clients corresponding to the credit grade scores in different segments.
9. A computer-readable storage medium having stored thereon a computer program, wherein the program when executed by a processor implements the steps of the credit-ranking-based electricity rate recycling policy making method as claimed in any one of claims 1 to 7.
10. 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 processor implements the steps of the credit-ranking-based electricity recycling policy formulation method as claimed in any one of claims 1-7 when executing the program.
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- 2023-07-28 CN CN202310946845.9A patent/CN117196175A/en active Pending
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| CN107133822A (en) * | 2017-04-28 | 2017-09-05 | 国网山东省电力公司泰安供电公司 | User credit evaluation method and device |
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