CN115631056A

CN115631056A - Method and device for determining commission, intelligent terminal and storage medium

Info

Publication number: CN115631056A
Application number: CN202211370546.7A
Authority: CN
Inventors: 王燕玲
Original assignee: Ping An Bank Co Ltd
Current assignee: Ping An Bank Co Ltd
Priority date: 2022-11-03
Filing date: 2022-11-03
Publication date: 2023-01-20

Abstract

The embodiment of the application discloses a method, a device, an intelligent terminal and a storage medium for determining commission, wherein the method comprises the following steps: receiving order information of a target sales order of which commission is to be calculated, wherein the order information comprises customer information and product type information; determining the risk level of the product type corresponding to the target sales order based on the product type information, and acquiring a customer group common characteristic table corresponding to the product type of the target sales order, wherein common characteristics of at least one customer group are recorded in the customer group common characteristic table; analyzing the client information, determining client characteristics of a target client corresponding to the client information based on an analysis result, and determining a client group to which the target client belongs as a target client group based on the client characteristics and the commonality characteristics; a commission ratio for the target sales order is determined based on the target customer base, the risk level, and the product type, and a resulting commission for the target sales order is calculated based on the commission ratio. Through the mode, commission is reasonably allocated.

Description

Method and device for determining commission, intelligent terminal and storage medium

Technical Field

The present application relates to the field of data processing technologies, and in particular, to a method and an apparatus for determining a commission, an intelligent terminal, and a storage medium.

Background

Commission as a way to compensate business in contemporary society has been chosen by businesses in many industries, including the banking industry. The products sold by the banking industry are sold to customers by sales personnel who receive a commission after completing the order of the products sold to the customer.

However, the commission calculation rules are generally uniform, and in fact, different products are sold and different client groups have different sales transaction difficulty levels, and the commission allocation is not reasonable enough and the activity of the sales personnel cannot be fully mobilized by setting the same commission calculation rule.

Disclosure of Invention

Embodiments of the present application provide a method, an apparatus, an intelligent terminal, and a storage medium for determining a commission, which are used to solve the above-mentioned problems in the background art.

In a first aspect, an embodiment of the present application provides a method for determining a commission, the method including:

receiving order information of a target sales order of the commission to be calculated, wherein the order information comprises customer information and product type information;

determining the risk level of the product type corresponding to the target sales order based on the product type information, and acquiring a customer group common characteristic table corresponding to the product type of the target sales order, wherein common characteristics of at least one customer group are recorded in the customer group common characteristic table;

analyzing the customer information, determining customer characteristics of a target customer corresponding to the customer information based on an analysis result, and determining a customer group to which the target customer belongs as a target customer group based on the customer characteristics and the commonality characteristics;

determining a commission ratio for the target sales order based on the target customer base, the risk level and the product type, calculating a resulting commission for the target sales order based on the commission ratio.

In some embodiments, after the determining that the client group to which the target client belongs is the target client group, the method further includes:

acquiring historical order information of all historical sales orders placed by the target customer based on the customer information;

analyzing the product type corresponding to each historical sales order based on the historical order information, and determining the non-preference product type of the target customer based on the analysis result;

and if the product type of the target sales order belongs to the non-preference product type, determining an addition commission of the target sales order according to a preset addition rule.

In some embodiments, the order information further comprises sales force information, the determining a commission proportion for the target sales order based on the target customer base, the risk rating, and the product type, comprising:

determining a sales level of a salesperson of the targeted sales order based on the salesperson information;

determining a commission ratio for the target sales order based on the sales level, the target customer base, the risk level, and the product type, calculating a resulting commission for the target sales order based on the commission ratio.

In some embodiments, said determining a commission proportion for said target sales order based on said target customer base, said risk rating, and said product type further comprises:

acquiring communication information between the salesperson and the target client, and determining the difficulty level of the target sales order for the salesperson based on the communication information;

determining a commission ratio for the target sales order based on the difficulty rating, the target customer base, the risk rating, and the product type, calculating a resulting commission for the target sales order based on the commission ratio.

In some embodiments, said determining a commission ratio for said target sales order based on said target customer base, said risk rating, and said product type, calculating a resulting commission for said target sales order based on said commission ratio, comprises:

determining a commission calculation rule corresponding to the target sales order based on the product type;

calculating a resulting commission of the target sales order based on the commission calculation rule and the commission ratio.

In some embodiments, after the receiving the order information of the target sales order for which the commission is to be calculated, further comprising:

determining whether the target sales order is an invalid order based on the order information;

and if the target sales order is an invalid order, stopping processing the target sales order, and sending the target sales order to a preset order auditing pool.

In some embodiments, after said calculating the resulting commission for the target sales order based on the commission ratio, further comprising:

acquiring a service score of the target customer for the target sales order, and judging whether the service score is higher than a preset score;

and if the service score is higher than the preset score, determining the added commission of the target sales order according to a preset addition rule, wherein the sum of the added commission and the obtained commission is the total commission of the target sales order.

In a second aspect, embodiments of the present application further provide an apparatus for determining a commission, the apparatus including:

the system comprises a receiving unit, a calculating unit and a processing unit, wherein the receiving unit is used for receiving order information of a target sales order of commission to be calculated, and the order information comprises customer information and product type information;

a first determining unit, configured to determine a risk level of a product type corresponding to the target sales order based on the product type information, and obtain a customer group commonality characteristic table corresponding to the product type of the target sales order, where the customer group commonality characteristic table records a commonality characteristic of at least one customer group;

a second determining unit, configured to analyze the client information, determine, based on an analysis result, a client feature of a target client corresponding to the client information, and determine, based on the client feature and the commonality feature, a client group to which the target client belongs as a target client group;

a calculating unit for determining a commission ratio of the target sales order based on the target customer base, the risk level and the product type, and calculating a resulting commission of the target sales order based on the commission ratio.

In a third aspect, an embodiment of the present application further provides an intelligent terminal, including a memory for storing instructions and data, and a processor for executing the method for determining a commission as described above.

In a fourth aspect, embodiments of the present application further provide a storage medium, where a plurality of instructions are stored, and the instructions are adapted to be loaded by a processor to execute the method for determining commission described above.

According to the method for determining the commission, the risk level of the product type is determined according to the product type information of the order, the sharing characteristics matched with the target customer corresponding to the order and the affiliated customer group are determined according to the customer information of the order, the commission proportion matched with the order is determined by combining analysis, the obtained commission of the order is calculated based on the commission proportion, and the purposes of reasonability of commission allocation and promotion of enthusiasm of sales personnel are achieved.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

Fig. 1 is a flowchart of a method for determining a commission according to an embodiment of the present disclosure.

Fig. 2 is a schematic structural diagram of an apparatus for determining commission according to an embodiment of the present application.

Fig. 3 is a schematic structural diagram of an intelligent terminal according to an embodiment of the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be described clearly and completely with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only some embodiments of the present application, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

In the description of the embodiments of the present application, it should be understood that the terms "first", "second", and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implying any number of technical features indicated. Thus, features defined as "first" and "second" may explicitly or implicitly include one or more of the described features. In the description of the embodiments of the present application, "a plurality" means two or more unless specifically defined otherwise.

The following description is presented to enable any person skilled in the art to make and use the application. In the following description, details are set forth for the purpose of explanation. It will be apparent to one of ordinary skill in the art that the present application may be practiced without these specific details. In other instances, well-known processes have not been described in detail so as not to obscure the description of the embodiments of the present application with unnecessary detail. Thus, the present application is not intended to be limited to the embodiments shown, but is to be accorded the widest scope consistent with the principles and features disclosed in the embodiments of the present application.

Embodiments of the present application provide a method, an apparatus, an intelligent terminal, and a storage medium for determining a commission, which will be described in detail below.

Referring to fig. 1, fig. 1 is a flowchart of a method for determining a commission according to an embodiment of the present application, which includes the following steps:

101. order information of a targeted sales order for which a commission is to be calculated is received, the order information including customer information and product type information.

After a sales order is completed, a commission calculation request of the sales order can be initiated at a corresponding public number or application program through a client of the sales person, and the commission calculation request is received by a system corresponding to the public number or application program, so that the sales order is a target sales order of commission to be calculated, and the system automatically acquires order information of the order. Optionally, the order information includes customer information and product type information.

For example, after a bank salesperson sells a financial product, a commission calculation request of a sales order of the financial product can be initiated through a bank public number or a bank application program, the sales order is a target sales order of commission to be calculated, after the bank system receives the commission calculation request of the target sales order, customer information can be acquired through a customer identification number carried by the target sales order when the request is initiated, and product type information can be acquired through an order serial number.

Optionally, in some embodiments, after receiving the order information of the target sales order for which the commission is to be calculated, based on the order information, it is determined whether the target sales order is an invalid order, and if the target sales order is an invalid order, the processing of the target sales order is stopped, and the target sales order is sent to a preset order audit pool.

For example, after a bank salesperson sells a financial product, a transaction time is recorded on a sales order corresponding to the financial product, the bank salesperson initiates a commission calculation request of the sales order through a bank public number or a bank application program, the sales order is a target sales order of which commission is to be calculated, the bank system obtains the transaction time of the target sales order after receiving the commission calculation request, and when the transaction time exceeds a preset settlement time, the target sales order is determined to be invalid and not processed, the target sales order is sent to an audit pool, and the order in the audit pool is audited and processed in a manual audit mode.

For example, after a bank salesperson sells a financial product, the bank salesperson initiates a commission calculation request of the sales order through a bank public number or a bank application program, the sales order is a target sales order of commission to be calculated, after receiving the commission calculation request, the bank system judges whether the target sales order is settled, if so, the target sales order is judged to be invalid and is not processed, the target sales order is sent to a verification pool, and the order in the verification pool is verified and processed in a manual verification mode.

102. And determining the risk level of the product type corresponding to the target sales order based on the product type information, and acquiring a customer group common characteristic table corresponding to the product type of the target sales order, wherein the common characteristic of at least one customer group is recorded in the customer group common characteristic table.

The product type and the risk level of the product type are generally classified in advance according to industry rules or product features, before a product is sold, the product is classified into a matching product type, and then the risk level corresponding to the product type is the risk level of the product.

For example, the banking industry includes product types such as a savings product type, a financing product type, and a credit card product type, among others, where the risk level of the savings product type is correspondingly low, the risk level of the financing product type is relatively high, and the risk level of the credit card product type is relatively neutral. The financial product types comprise fund financial products and stock financial products, and the risk level of the fund financial products is lower than that of the stock financial products.

For example, if the product type corresponding to the product type information of the target sales order initiated by the bank salesperson through the client is a credit card product type, the corresponding risk level is medium.

In an embodiment of the present application, the customer base commonality characteristic table is set in advance based on an analysis of historical sales orders. The method comprises the steps of obtaining historical sales orders in a historical time period, classifying product types of the historical sales orders, obtaining historical customer information of the historical sales orders corresponding to each product type, analyzing the historical customer information of each product type, obtaining customer group common characteristics corresponding to each product type, and generating a customer group common characteristic table based on the product types and the corresponding customer group common characteristics. The customer group common characteristic table records the product types and common characteristics of the customer groups corresponding to each product type.

For example, the banking industry includes product types such as savings product type, financing product type, and credit card product type, among others. And acquiring a plurality of historical sales orders aiming at the credit card product types in a historical time period, analyzing historical customer information corresponding to the historical sales orders, and acquiring the common characteristics of the customer group of the credit card product types, including young people, office workers and males, wherein the common characteristics of the young people, the office workers, the males and the like are taken as the common characteristics of the customer group corresponding to the credit card product types.

For example, the banking industry includes product types such as savings product type, financing product type, and credit card product type, among others. And acquiring a plurality of historical sales orders according to the types of the deposit products in the historical time period, analyzing historical customer information corresponding to the historical sales orders, and acquiring the common characteristics of the customer group of the deposit product types, including the old and retired people.

For example, the banking industry includes product types such as savings product type, financing product type, and credit card product type, among others. And acquiring a plurality of historical sales orders according to the types of the financial products in the historical time period, analyzing historical customer information corresponding to the historical sales orders, and acquiring the common characteristics of the customer groups of the financial products, wherein the common characteristics comprise an age range of 25-45, work in a first-line city and income ten thousand, and then, the common characteristics of the customer groups of the financial products, such as the age range of 25-45, work in the first-line city and income ten thousand, are taken as the common characteristics of the customer groups corresponding to the types of the financial products.

103. And analyzing the customer information, determining the customer characteristics of the target customer corresponding to the customer information based on the analysis result, and determining the customer group to which the target customer belongs as the target customer group based on the customer characteristics and the common characteristics.

Customer information may include customer age, customer occupation, customer income, work cities, and product information for historical purchases, among others. And analyzing the client information to obtain the client characteristics of the target client, matching the client characteristics with the common characteristics of the client group, and determining the client group to which the target client belongs.

For example, the banking industry includes product types such as savings product type, financing product type, and credit card product type, among others. The common characteristics of the client group corresponding to the saving product type comprise old people and retirement, the common characteristics of the client group corresponding to the financing product type comprise an age range of 25-45, work in a first-line city and income of ten thousand, and the common characteristics of the client group corresponding to the credit card product type comprise young people, office workers and males. And obtaining the characteristics of the target customer including the old and retirement by analyzing the customer information of the target sales order, wherein the customer group to which the target customer belongs is a customer group corresponding to the type of the deposit product, and the customer group corresponding to the type of the deposit product is the target customer group.

Optionally, in some embodiments, after determining that the customer group to which the target customer belongs is the target customer group, acquiring historical order information of all historical sales orders placed by the target customer based on the customer information, analyzing a product type corresponding to each historical sales order based on the historical order information, determining a non-preferred product type of the target customer based on an analysis result, and determining an addition commission of the target sales order according to a preset addition rule if the product type of the target sales order belongs to the non-preferred product type.

For example, the product types included in the banking industry include a deposit product type, a financial product type, a credit card product type, and the like, and the product type corresponding to the target customer group to which the target customer belongs is obtained through analysis and is the financial product type. However, the target client determines that the preferred product type is a savings product type and the non-preferred product type is a financing product type according to the historical order information of the target client, that is, the target client purchases the products of the savings product type most and the financing product type least or no at the last time. Then, it is stated that the target customer is persuaded to have a low success rate of purchasing a product of the financial product type, and the sales force for selling the target sales order is relatively high, and commission addition is performed on the target sales order.

104. Determining a commission ratio for the target sales order based on the target customer base, the risk level, and the product type, calculating a resulting commission for the target sales order based on the commission ratio.

For example, the banking industry includes product types such as savings product type, financing product type, and credit card product type, among others. The common characteristics of the client group corresponding to the type of the savings product comprise the elderly and retirement, the risk level is low, and the corresponding commission proportion is 0.3%. The commonalities of the customer base for the financing product type include the age range 25-45, working in the first-line city, income ten thousand, with higher risk rating and corresponding commission percentage of 2.5%. The common characteristics of the customer base for the credit card product type include younger, office and male, with a neutral risk rating and a commission percentage of 1%. If the product type of the target sales order of which the commission is to be calculated is a financing product type, and the customer characteristics obtained by analyzing the customer information include the age range of 25-45 and work in the same-line city, the risk level of the target sales order is higher, the corresponding commission proportion is 2.5%, and the obtained commission of the target sales order is calculated based on the commission proportion of 2.5%.

In the case that the product type of the target sales order for which the commission is to be calculated does not correspond to the product type matched with the customer characteristics obtained by the customer information analysis, the target customer can be considered as a new customer of the product type corresponding to the target sales order, and the commission ratio of the target sales order can be adjusted according to the preset commission ratio adjustment rule.

For example, the banking industry includes product types such as savings product type, financing product type, and credit card product type, among others. The common characteristics of the client group corresponding to the type of the savings product comprise the elderly and retirement, the risk level is low, and the corresponding commission proportion is 0.3%. The commonalities of the customer base for the financing product type include the age range 25-45, working in the first-line city, income ten thousand, with higher risk rating and corresponding commission percentage of 2.5%. The common characteristics of the customer base for the credit card product type include younger, office and male, with a neutral risk rating and a commission percentage of 1%. If the product type of the target sales order of which the commission is to be calculated is the financial product type, but the client characteristics of the target client including the old and retirement can be obtained by analyzing the corresponding client information, the client group to which the target client belongs is the client group corresponding to the savings product type, that is, the client group corresponding to the savings product type is the target client group, which indicates that the target client is a new client relative to the financial product type, and then the commission proportion of the target sales order can be adjusted from the original 2.5% to 3%.

Optionally, in a case that the product type of the target sales order for which the commission is to be calculated does not correspond to the product type matched with the customer characteristics obtained through customer information analysis, the target customer may be considered as a new customer of the product type corresponding to the target sales order, the target customer may be analyzed to determine the customer grade of the target customer, and then the commission proportion of the target sales order is adjusted according to a preset commission proportion adjustment rule.

Wherein, the target customer is analyzed to determine the customer grade of the target customer, which can be obtained by combining the asset data of the target customer and the data of the purchased bank products.

For example, if the target customer has a higher customer rating through the asset data analysis of the target customer, the commission ratio of the target sales order is adjusted to be higher.

After determining the customer rating, the target customer may be tagged with a corresponding customer label. The customer tags may include old customer tags, premium new house tags, sub-optimal new house tags, and general new house tags, among others.

Optionally, in some embodiments, the order information further includes sales force information, a sales level of sales force of the target sales order is determined based on the sales force information, a commission ratio of the target sales order is determined based on the sales level, the target customer base, the risk level, and the product type, and a resulting commission of the target sales order is calculated based on the commission ratio.

For example, if the sales force is high in rank and experienced, but the risk level of the product type of the target sales order is low, the commission ratio of the originally set product type can be used as the commission ratio of the target sales order.

For example, if the level of the salesperson is low and the experience is insufficient, but the risk level of the product type of the target sales order is high, the commission ratio of the target sales order can be adjusted according to the preset commission ratio adjustment rule, and the commission ratio of the target sales order can be increased on the basis of the commission ratio corresponding to the product type.

For example, the sales force is ranked high and experienced, while the risk level for the product type of the targeted sales order is ranked high, which corresponds to the sales force ranking. Then the commission proportion of the targeted sales order is not adjusted.

Optionally, in some embodiments, determining the commission ratio of the target sales order based on the target customer group, the risk level, and the product type includes obtaining communication information between the sales person and the target customer, determining a difficulty level of the target sales order for the sales person based on the communication information, determining the commission ratio of the target sales order based on the difficulty level, the target customer group, the risk level, and the product type, and calculating a resulting commission of the target sales order based on the commission ratio.

The communication information includes, but is not limited to, weChat chat logs, voice call logs, and video call logs. And determining the effort value of the salesperson for completing the target sales order by analyzing the communication information, thereby combining and evaluating the commission proportion of the target sales order.

For example, the obtained communication information of the salesperson and the target client comprises a voice call record, the call duration of the voice call record obtained through analysis is larger than the preset duration, the salesperson is also contacted with the target client besides the working time obtained through analysis, and the communication content is related to the product content. Then, it can be considered that the effort value of the salesperson on the target sales order is high, and the difficulty level of the target sales order relative to the salesperson is high, then the commission ratio of the target sales order can be increased according to the preset commission ratio adjustment rule.

For example, the obtained communication information of the salesperson and the target client comprises WeChat chat records, the obtained communication information is analyzed to obtain that the salesperson contacts the target client besides the working time, and the communication content is related to the product content. Then, it can be considered that the effort value of the salesperson on the target sales order is high, and the difficulty level of the target sales order relative to the salesperson is high, and then the commission ratio of the target sales order can be increased according to the preset commission ratio adjustment rule.

Optionally, in some embodiments, a commission calculation rule corresponding to the target sales order is determined based on the product type, and the resulting commission for the target sales order is calculated based on the commission calculation rule and the commission ratio.

It is understood that the commission calculation rule is different for each product type, i.e., the commission calculation manner is different, the commission calculation rule is determined for the product type, and the determined commission ratio is substituted to calculate the obtained commission.

Alternatively, the commission calculation rule is the same for each product type, i.e., the commission calculation is performed in the same manner, but the commission calculation rules for different commission ratios are different, and the commission calculation rule is determined based on the product type and the commission ratio, thereby calculating the obtained commission.

Optionally, in some embodiments, after calculating the obtained commission of the target sales order based on the commission proportion, obtaining a service score of the target customer for the target sales order, determining whether the service score is higher than a preset score, if the service score is higher than the preset score, determining an added commission of the target sales order according to a preset adding rule, and the sum of the added commission and the obtained commission is the total commission of the target sales order.

Further, the preset score may include a first preset score and a second preset score, and if it is determined that the service score of the target sales order is higher than the first preset score, it is determined whether the service score is higher than the second service score. And if not, determining the added commission of the target sales order according to a preset first addition rule, and if so, determining the added commission of the target sales order according to a preset second addition rule. Wherein the added commission of the first added rule is lower than the added commission of the second added rule.

Correspondingly, if the service score is lower than the preset score, the service attitude of the salesperson is indicated to have a problem in the process of popularizing the product like a target customer. Therefore, part of the commission of the target sales order can be subtracted according to the preset punishment rule, or the commission ratio of the target sales order can be reduced by adjusting the rule according to the preset commission ratio.

The method for determining the commission comprises the steps of receiving order information of a target sales order of which the commission is to be calculated, wherein the order information comprises customer information and product type information; determining the risk level of the product type corresponding to the target sales order based on the product type information, and acquiring a customer group common characteristic table corresponding to the product type of the target sales order, wherein common characteristics of at least one customer group are recorded in the customer group common characteristic table; analyzing the client information, determining client characteristics of a target client corresponding to the client information based on an analysis result, and determining a client group to which the target client belongs as a target client group based on the client characteristics and the commonality characteristics; a commission ratio for the target sales order is determined based on the target customer base, the risk level, and the product type, and a resulting commission for the target sales order is calculated based on the commission ratio. According to the embodiment of the application, the commission proportion of the order is determined by combining the customer information and the product type information, so that the commission of the order is calculated, the aim of reasonable commission distribution is fulfilled, and the enthusiasm of sales personnel can be promoted.

Referring to fig. 2, fig. 2 is a schematic structural diagram of an apparatus for determining commission according to an embodiment of the present application, where the apparatus for determining commission 200 includes the following units:

the receiving unit 201 is used for receiving order information of the target sales order of the commission to be calculated, wherein the order information comprises customer information and product type information.

The first determining unit 202 is configured to determine a risk level of a product type corresponding to the target sales order based on the product type information, and acquire a customer group commonality characteristic table corresponding to the product type of the target sales order, where the commonality characteristic of at least one customer group is recorded in the customer group commonality characteristic table.

The second determining unit 203 is configured to analyze the client information, determine a client characteristic of a target client corresponding to the client information based on the analysis result, and determine a client group to which the target client belongs as a target client group based on the client characteristic and the commonality characteristic.

A calculating unit 204 for determining a commission ratio of the target sales order based on the target customer base, the risk level and the product type, and calculating a resulting commission of the target sales order based on the commission ratio.

Optionally, the apparatus 200 for determining commission further comprises:

and the information acquisition unit is used for acquiring the historical order information of all historical sales orders placed by the target customer based on the customer information.

And the analysis unit is used for analyzing the product type corresponding to each historical sales order based on the historical order information and determining the non-preference product type of the target customer based on the analysis result.

And the addition unit is used for determining the addition commission of the target sales order according to a preset addition rule if the product type of the target sales order belongs to the non-preference product type.

Optionally, the order information further includes salesperson information, and the calculating unit 204 may include the following sub-units:

a level determining subunit, configured to determine a sales level of the salesperson for the target sales order based on the salesperson information.

And the first commission calculating subunit is used for determining the commission proportion of the target sales order based on the sales level, the target customer group, the risk level and the product type, and calculating the obtained commission of the target sales order based on the commission proportion.

Optionally, the computing unit 204 may further include the following sub-units:

a rule determining subunit, configured to determine a commission calculation rule corresponding to the target sales order based on the product type.

And a second commission calculation subunit for calculating the obtained commission of the target sales order based on the commission calculation rule and the commission proportion.

Optionally, the apparatus 200 for determining a commission according to the embodiment of the present application further includes other units and sub-units, which are not described herein again.

The commission determining device 200 of the embodiment of the application comprises a receiving unit 201, a calculating unit and a processing unit, wherein the receiving unit 201 is used for receiving order information of a target sales order of which commission is to be calculated, and the order information comprises customer information and product type information; a first determining unit 202, configured to determine a risk level of a product type corresponding to the target sales order based on the product type information, and obtain a customer group commonality feature table corresponding to the product type of the target sales order, where the customer group commonality feature table records a commonality feature of at least one customer group; a second determining unit 203, configured to analyze the client information, determine, based on an analysis result, a client characteristic of a target client corresponding to the client information, and determine, based on the client characteristic and the commonality characteristic, a client group to which the target client belongs as a target client group; a calculating unit 204 for determining a commission ratio of the target sales order based on the target customer group, the risk level and the product type, and calculating a resulting commission of the target sales order based on the commission ratio. In the embodiment of the application, the commission proportion of the order is determined by combining the customer information and the product type information, so that the commission of the order is calculated, the aim of reasonable commission distribution is fulfilled, and the enthusiasm of salesmen can be promoted.

Referring to fig. 3, fig. 3 is a schematic structural diagram of an intelligent terminal according to an embodiment of the present disclosure, where the intelligent terminal 300 may be an intelligent terminal device such as a smart phone, a tablet Computer, a notebook Computer, a touch screen, a game machine, a Personal Computer (PC), a Personal Digital Assistant (PDA), and the like. The intelligent terminal 300 includes a processor 301 having one or more processing cores, a memory 302 having one or more computer-readable storage media, and a computer program stored on the memory 302 and operable on the processor 301. The processor 301 is electrically connected to the memory 302. Those skilled in the art will appreciate that the intelligent terminal architecture shown in the figures does not constitute a limitation of the intelligent terminal and may include more or fewer components than shown, or some components may be combined, or a different arrangement of components.

The processor 301 is a control center of the intelligent terminal 300, connects various parts of the entire intelligent terminal 300 using various interfaces and lines, performs various functions of the intelligent terminal 300 and processes data by running or loading software programs and/or modules stored in the memory 302, and calling data stored in the memory 302, thereby integrally monitoring the intelligent terminal 300.

In this embodiment of the application, the processor 301 in the intelligent terminal 300 loads instructions corresponding to processes of one or more application programs into the memory 302 according to the following steps, and the processor 301 runs the application programs stored in the memory 302, thereby implementing various functions:

analyzing the client information, determining client characteristics of a target client corresponding to the client information based on an analysis result, and determining a client group to which the target client belongs as a target client group based on the client characteristics and the commonality characteristics;

a commission ratio for the target sales order is determined based on the target customer base, the risk level, and the product type, and a resulting commission for the target sales order is calculated based on the commission ratio.

The above operations can be implemented in the foregoing embodiments, and are not described in detail herein.

Optionally, the intelligent terminal 300 further includes a touch display 303, an input unit 304 and a power source 305, wherein the processor 301 is electrically connected to the touch display 303, the input unit 304 and the power source 305. Those skilled in the art will appreciate that the intelligent terminal architecture shown in fig. 3 is not intended to be limiting of intelligent terminals and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.

The touch display screen 303 may be used for displaying a graphical user interface and receiving an operation instruction generated by a user acting on the graphical user interface, and the touch display screen 303 may include a display panel and a touch panel. Among other things, the display panel may be used to display information input by or provided to a user as well as various graphical user interfaces of the computer device, which may be made up of graphics, text, icons, video, and any combination thereof. Alternatively, the Display panel may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like. The touch panel may be used to collect touch operations of a user on or near the touch panel (for example, operations of the user on or near the touch panel using any suitable object or accessory such as a finger, a stylus pen, and the like), and generate corresponding operation instructions, and the operation instructions execute corresponding programs. Alternatively, the touch panel may include two parts, a touch detection device and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 301, and receives and executes commands sent by the processor 301. The touch panel may overlay the display panel, and when the touch panel detects a touch operation thereon or nearby, the touch panel transmits the touch operation to the processor 301 to determine the type of the touch event, and then the processor 301 provides a corresponding visual output on the display panel according to the type of the touch event. In the embodiment of the present application, the touch panel and the display panel may be integrated into the touch display screen 303 to realize input and output functions. However, in some embodiments, the touch panel and the touch panel can be implemented as two separate components to perform the input and output functions. That is, the touch display screen 303 may also be used as a part of the input unit 304 to implement an input function.

The input unit 304 may be used to receive input numbers, character information, or user characteristic information (e.g., fingerprint, iris, facial information, etc.), and generate keyboard, mouse, joystick, optical, or trackball signal inputs related to user settings and function control.

The power supply 305 is used to supply power to the various components of the smart terminal 300. Optionally, the power supply 305 may be logically connected to the processor 301 through a power management system, so as to implement functions of managing charging, discharging, and power consumption management through the power management system. The power supply 305 may also include any component of one or more dc or ac power sources, recharging systems, power failure detection circuitry, power converters or inverters, power status indicators, and the like.

Although not shown in fig. 3, the smart terminal 300 may further include a sensor, a radio frequency module, and the like, which are not described in detail herein.

In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.

As can be seen from the above, the intelligent terminal 300 provided in this embodiment receives order information of a target sales order for which a commission is to be calculated, where the order information includes customer information and product type information; determining the risk level of the product type corresponding to the target sales order based on the product type information, and acquiring a customer group common characteristic table corresponding to the product type of the target sales order, wherein common characteristics of at least one customer group are recorded in the customer group common characteristic table; analyzing the client information, determining client characteristics of a target client corresponding to the client information based on an analysis result, and determining a client group to which the target client belongs as a target client group based on the client characteristics and the commonality characteristics; a commission ratio of the target sales order is determined based on the target customer base, the risk level, and the product type, and a resulting commission of the target sales order is calculated based on the commission ratio.

It will be understood by those skilled in the art that all or part of the steps of the methods of the above embodiments may be performed by instructions or by associated hardware controlled by the instructions, which may be stored in a computer readable storage medium and loaded and executed by a processor.

To this end, the present application provides a computer-readable storage medium, in which a plurality of computer programs are stored, and the computer programs can be loaded by a processor to execute the steps of any method for determining commission provided by the present application. For example, the computer program may perform the steps of:

Wherein the storage medium may include: a read Only Memory (ROM, re client account d Only Memory), a random access Memory (R client account M, R client account random client account access Memory), a magnetic disk or an optical disk, etc.

Since the computer program stored in the storage medium can execute the steps in any method for determining a commission provided by the embodiments of the present application, the beneficial effects that can be achieved by any method for determining a commission provided by the embodiments of the present application can be achieved, and the detailed description is omitted here for the sake of detail in the foregoing embodiments.

The foregoing detailed description is directed to a method, an apparatus, an intelligent terminal and a storage medium for determining a commission provided in an embodiment of the present application, and a specific example is applied in this disclosure to explain the principles and embodiments of the present application, the description of the foregoing embodiment is only used to help understand the method and its core idea of the present application, and meanwhile, for those skilled in the art, according to the idea of the present application, there are changes in the specific implementation and application scope, and in summary, the content of the present description should not be construed as a limitation to the present application.

Claims

1. A method of determining a commission, the method comprising:

determining a commission ratio for the target sales order based on the target customer base, the risk level, and the product type, calculating a resulting commission for the target sales order based on the commission ratio.

2. The method for determining a commission according to claim 1 further comprising, after determining that the customer base to which the target customer belongs is the target customer base:

and if the product type of the target sales order belongs to the non-preference product type, determining the addition commission of the target sales order according to a preset addition rule.

3. The method of determining commissions of claim 1, wherein the order information further comprises sales force information, and wherein determining the commission proportion for the targeted sales order based on the targeted customer base, the risk level, and the product type comprises:

4. The method of determining a commission of claim 3 wherein the determining the commission proportion for the target sales order based on the target customer base, the risk level, and the product type further comprises:

acquiring communication information between the salesperson and the target customer, and determining the difficulty level of the target sales order for the salesperson based on the communication information;

determining a commission ratio for the target sales order based on the difficulty level, the target customer base, the risk level, and the product type, calculating a resulting commission for the target sales order based on the commission ratio.

5. The method of determining a commission of claim 1 wherein determining a commission ratio for the target sales order based on the target customer base, the risk level, and the product type, calculating a resulting commission for the target sales order based on the commission ratio comprises:

determining commission calculation rules corresponding to the target sales order based on the product type;

6. The method of determining a commission according to claim 1 further comprising, after receiving order information for a target sales order for which a commission is to be calculated:

7. The method of determining commissions of claim 1, further comprising, after the calculating the resulting commissions of the target sales order based on the commission ratio:

acquiring a service score of the target customer for the target sales order, and judging whether the service score is higher than a preset score or not;

8. An apparatus for determining a commission, the apparatus comprising:

the order information comprises customer information and product type information;

a calculating unit, for determining the commission proportion of the target sales order based on the target customer base, the risk level and the product type, and calculating the obtained commission of the target sales order based on the commission proportion.

9. An intelligent terminal, comprising a memory for storing instructions and data and a processor for performing the method of determining a commission of any one of claims 1-7.

10. A storage medium having stored therein a plurality of instructions adapted to be loaded by a processor to perform the method of determining a commission of any one of claims 1-7.