CN115829713A - Multi-dimension-based commission fee data processing method and device and related medium - Google Patents
Multi-dimension-based commission fee data processing method and device and related medium Download PDFInfo
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Abstract
The invention discloses a multi-dimensional commission charge data processing method, a device and a related medium, wherein the method comprises the following steps: acquiring merchant transaction information, and carrying out multi-dimensional analysis on the merchant transaction information; configuring a commission charge calculation model based on the transaction information of the merchant after multidimensional analysis, and calculating by using the commission charge calculation model to obtain initial commission charge data of the current merchant service; configuring a discount model based on the merchant transaction information after multidimensional analysis, and calculating by using the commission charge calculation model to obtain discount data of the current merchant service; and calculating to obtain final commission charge data by combining the initial commission charge data and the preferential data. The invention carries out multidimensional analysis on the transaction information of the merchant to configure a proper commission charge calculation model and a proper commission charge model for the transaction information of the merchant, thereby ensuring the reasonability and universality of charging the commission charge for the business of the merchant.
Description
Technical Field
The invention relates to the technical field of computer software, in particular to a multi-dimensional commission charge data processing method and device and a related medium.
Background
The bank payment system is the starting point, natural scene and flow entrance of bank finance, and can bring income of handling fees for participants such as banks, institutions and the like besides fund deposition and digital assets. At present, most banks release related payment business systems, but different banks have different and single commission fee distribution modes, so that the distribution participants are difficult to distribute online, and most of the banks collect commission fees offline, and the commission fee collection modes cannot be flexibly configured, namely, the commission fee collection dimensions are single, so that the actual commission fee collection scenes cannot be met under most conditions. In addition, the existing commission charge mode lacks a deep abstract model, the commission charge secondary development period is long, and the chimney type frequent iteration is difficult to reuse.
Therefore, how to realize the rationality and universality of the commission charge is a technical problem to be solved by the technical personnel in the field.
Disclosure of Invention
The embodiment of the invention provides a multi-dimensional commission charge data processing method, a multi-dimensional commission charge data processing device, a computer device and a storage medium, and aims to improve the charging rationality and universality of commission charge data.
In a first aspect, an embodiment of the present invention provides a multi-dimensional handling fee data processing method, including:
acquiring merchant transaction information, and carrying out multi-dimensional analysis on the merchant transaction information;
configuring a commission charge calculation model based on the merchant transaction information after multidimensional analysis, and calculating by using the commission charge calculation model to obtain initial commission charge data of the current merchant service;
configuring a discount model based on the merchant transaction information after multidimensional analysis, and calculating by using the commission charge calculation model to obtain discount data of the current merchant service;
and calculating to obtain final commission charge data by combining the initial commission charge data and the preferential data.
In a second aspect, an embodiment of the present invention provides a multi-dimensional commission fee data processing apparatus, including:
the information analysis unit is used for acquiring merchant transaction information and carrying out multi-dimensional analysis on the merchant transaction information;
the initial calculation unit is used for configuring a commission charge calculation model based on the merchant transaction information after multidimensional analysis, and calculating to obtain initial commission charge data of the current merchant service by using the commission charge calculation model;
the discount calculation unit is used for configuring a discount model based on the merchant transaction information after multidimensional analysis and calculating discount data of the current merchant service by using the commission charge calculation model;
and the data combination unit is used for combining the initial commission charge data and the discount data to calculate and obtain final commission charge data.
In a third aspect, an embodiment of the present invention provides a computer device, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and when the processor executes the computer program, the processor implements the multi-dimension-based commission fee data processing method according to the first aspect.
In a fourth aspect, the present invention provides a computer-readable storage medium, on which a computer program is stored, and when executed by a processor, the computer program implements the multidimensional-based commission fee data processing method according to the first aspect.
The embodiment of the invention provides a multi-dimensional commission charge data processing method, a device, computer equipment and a storage medium, wherein the method comprises the following steps: acquiring merchant transaction information, and carrying out multi-dimensional analysis on the merchant transaction information; configuring a commission charge calculation model based on the transaction information of the merchant after multidimensional analysis, and calculating by using the commission charge calculation model to obtain initial commission charge data of the current merchant service; configuring a discount model based on the merchant transaction information after multidimensional analysis, and calculating by using the commission charge calculation model to obtain discount data of the current merchant service; and calculating to obtain final commission charge data by combining the initial commission charge data and the preferential data. The embodiment of the invention performs multidimensional analysis on the transaction information of the merchant to configure a proper commission calculation model and a proper discount model for the transaction information, thereby ensuring the reasonability of charging the commission for the business of the merchant, and simultaneously, because the embodiment of the invention supports different commission calculation models and discount models, the universality of commission data is improved, and the application capability of a bank to a complex commission scene is better improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, 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 schematic flow chart of a multi-dimensional handling fee data processing method according to an embodiment of the present invention;
FIG. 2 is a system architecture diagram of a multi-dimensional commission data processing method according to an embodiment of the present invention;
fig. 3 is a schematic block diagram of a multi-dimensional commission fee data processing device according to an embodiment of the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. 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 invention.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
Referring to fig. 1, fig. 1 is a schematic flow chart of a multi-dimensional commission fee data processing method according to an embodiment of the present invention, which specifically includes: steps S101 to S104.
S101, acquiring merchant transaction information, and carrying out multi-dimensional analysis on the merchant transaction information;
s102, configuring a commission charge calculation model based on the transaction information of the merchant after multi-dimensional analysis, and calculating by using the commission charge calculation model to obtain initial commission charge data of the current merchant service;
s103, configuring a discount model based on the merchant transaction information after multidimensional analysis, and calculating by using the commission charge calculation model to obtain discount data of the current merchant service;
and S104, calculating to obtain final commission charge data by combining the initial commission charge data and the preferential data.
In the embodiment, the merchant transaction information is subjected to multi-dimensional analysis to configure a proper commission fee calculation model and a proper discount model for the merchant transaction information, initial commission fee data of the merchant transaction information is calculated by using the configured commission fee calculation model, discount data of the merchant transaction information is calculated by using the configured discount model, and final commission fee data is calculated by combining the initial commission fee data and the discount data, so that the reasonability of charging commission fee for the merchant service is ensured. Meanwhile, the embodiment supports different types of commission calculation models and preference models, so that the universality of the commission data is improved, and the application capability of the bank to complex commission scenes is better improved.
In an embodiment, the step S102 includes:
determining a commission fee charging type matched with the merchant transaction information according to the multidimensional information of the merchant transaction information; the type of the commission charge comprises commission charge time, precision algorithm, transaction amount segmentation, charge mode and maximum charge;
and selecting a corresponding commission charge calculation model according to the commission charge collection type so as to calculate and obtain the initial commission charge data.
In this embodiment, the type of the commission charge calculated by the commission charge calculation model includes multiple dimensions such as commission charge time, precision algorithm, transaction amount segmentation, charge mode, maximum charge (including maximum charge, minimum charge, etc.), and the like. Specifically, the method comprises the following steps:
collecting time: according to real-time collection and batch collection. For example, if the funds of the merchant are abundant, the commission charge of the merchant can be deducted during the transaction of the merchant; of course, the commission can be deducted according to the period.
And (3) precision algorithm: round (round), round (ceil), round (floor). Namely, algorithms such as rounding, advancing method, discarding method and the like are adopted to calculate the initial commission charge data.
Segmenting the transaction amount: and carrying out segmented charging according to the transaction amount. For example, the charging may be performed in a manner of 0 to 1000, 1000 to 10000, or 10000 or more.
The collection mode is as follows: setting single-stroke and proportional charging rules. For example, a single charge, regardless of the transaction amount, charges 5 dollars per charge; for proportional charging, the commission fee may be calculated from the transaction amount multiplied by the rate.
Maximum value of handling fee: and when the handling fee exceeds the preset maximum value of the handling fee, the maximum value of the handling fee is collected.
Minimum value of handling fee: and when the commission charge is lower than the preset commission charge minimum value, the commission charge minimum value is collected as the standard.
In one embodiment, the step S103 includes:
determining a discount type matched with the merchant transaction information according to the multidimensional information of the merchant transaction information; wherein the offer types include flat rate activities, rate flat reduction activities, rate discount activities, commission cashback activities, commission activity packages;
and selecting a corresponding discount model according to the discount type, and calculating the discount data.
Further, the selecting a corresponding offer model according to the offer type and calculating the offer number includes:
when the offer type is flat rate activity, calculating offer data according to the following formula:
r＝a‰
wherein r represents preferential data, a represents fixed fee of the merchant transaction information;
when the offer type is a fixed rate reduction activity, calculating offer data according to the following formula:
r＝R-1‰，r>0
wherein R represents the original transaction rate;
when the offer type is a rate discount activity, calculating offer data according to the following formula:
r＝R*b
where b represents the discount value.
In this embodiment, in order to satisfy the actual charging scenario of the handling fee, in addition to abstracting the service model to the handling fee calculation model, a preference model related to the handling fee is also introduced. That is, the corresponding class of commission charging activities can be set for different business models, specifically including flat rate activities, rate flat reduction activities, rate discount activities, commission cashback activities, commission activity packages. And calculating the discount data of the merchant transaction information according to the preset discount activity matching activities, so as to obtain final commission charge data by combining the discount data and the initial commission charge data.
For example, assume that the original transaction rate is R, the new transaction rate is calculated as R, the initial commission data is C, and the final commission data is C. It will be appreciated that the new transaction rate r referred to herein is equivalent to an offer for the merchant service.
1. Fixed rate: the flat rate activity is set to 2.5 per mill, and the original transaction rate is covered, then the new transaction rate is: r =2.5 ‰;
2. flat rate reduction activities: the fixed rate is reduced to 1 per mill. The new transaction rate is then: r = R-1 ‰, R >0;
3. rate discounting activities: and setting the rate discount activity to be 5 folds, namely 5 folds are made on the basis of the original rate, and the new transaction rate is as follows: r = R0.5.
In one embodiment, the step S104 includes:
when the discount type is any one or more of fixed rate activity, rate fixed reduction activity or rate discount activity, calculating the difference between the initial commission data and the discount data to obtain final commission data;
when the offer type is a commission offer activity, calculating final commission data according to the following formula:
c＝C-r；c>0
wherein C represents final charge data, and C represents initial charge data;
when the offer type is a commission package, calculating final commission data according to the following formula:
∑c＝∑C–r
in the formula, Σ C represents final commission charge data for a preset time period, and Σ C represents initial commission charge data for the preset time period.
In this embodiment, in the process of calculating final commission data by combining the offer data and the initial commission data, if the offer type is any one or more of flat rate activity, fixed rate reduction activity or rate discount activity, the difference between the initial commission data and the offer data may be directly calculated, and the difference result is the final commission data. And when the discount type is a commission discount activity or a commission activity package, further calculation is needed by combining with a discount model.
For example, when the offer type is a commission offer, the commission is set to 10, and the final commission data is calculated as: c = C-10, C > -0; when the preferential type is a commission cashback activity, setting cashback 10 yuan, using the initial commission data C as final commission data, and returning to 10 yuan after collection; when the preferential type is a commission package, the merchant can purchase a commission package, set the total preferential amount of the commission package to 10000 yuan, and then calculate the final commission data: Σ this month C =Σthis month C-10000 yuan.
In one embodiment, the merchant transaction information includes multidimensional information, the multidimensional information includes a bank access system, a merchant name, a merchant number, an industry, a product, a transaction card, and a transaction channel;
the step S101 includes:
and obtaining the transaction information of the commercial tenant in a multi-thread mode by adopting a message queue, and analyzing the transaction information of the commercial tenant according to the multi-dimensional information.
In this embodiment, the other fund receipt and payment systems are connected by the message queue, and the merchant transaction information is added to the message queue after the transaction of the banking system is completed, so as to achieve the purpose of multithreading pull-reading the merchant transaction information in the message queue one by one.
In an embodiment, the multidimensional-based commission fee data processing method further comprises the following steps:
acquiring the partial wetting proportion of the participants;
and carrying out proportion division on the final commission charge data according to the lubrication proportion.
In the present embodiment, after the final commission data is calculated, commission fee is distributed according to each participant, that is, the commission fee is distributed according to a preset distribution ratio. For example, when the commission charge of the merchant is C, the commission charge sharing proportion of the participator service provider a, the business development line B and the line C to which the customer belongs is 1:7:2, then:
the commission charge of service provider A is divided into balance = c 1/(1 +7+ 2);
service development line B commission charge balance = c 7/(1 +7+ 2);
the client belongs to row C commission quota = C2/(1 +7+ 2).
In a specific application scenario, as shown in fig. 2, the access system of the bank includes an aggregation payment system, a mobile banking system, an online banking system, and the like, which are connected through a message queue, and a multi-dimensional commission computation model is introduced, i.e., a service model is abstracted, and different computation models and offer models are configured. For example, a calculation model B (calculation model, charging mode: real-time deduction of commission fee, precision calculation: round (round), transaction amount segmentation 0-1000, charging mode: proportional charging 2.5 per mill, maximum value of commission fee: set to 5, minimum value of commission fee 1) corresponding to a business model A (business name: A catering company, business type: catering industry, product: crawfish, transaction channel: payment treasure, card type: debit card) of a merchant is configured, and a corresponding preferential model C (fee discounting 5) is configured according to the business model A. Then, when the price of the product selling crayfish is 1000 yuan by the catering company A in a mode of paying treasures and debit cards, matching the product with the corresponding business model A of the merchant, then matching the product with the calculation model B, and calculating to obtain initial commission charge data according to the calculation model B: 1000 x 2.5 ‰ =2.5, then the merchant transaction matches the corresponding preference model C according to the business model a, and recalculates the commission fee as: 2.5 × 0.5=1.25.
Fig. 3 is a schematic block diagram of a multi-dimensional commission fee data processing device 300 according to an embodiment of the present invention, which comprises:
the information analysis unit 301 is configured to obtain merchant transaction information and perform multidimensional analysis on the merchant transaction information;
an initial calculation unit 302, configured to configure a commission charge calculation model based on the merchant transaction information after multidimensional analysis, and calculate to obtain initial commission charge data of the current merchant service by using the commission charge calculation model;
the discount calculation unit 303 is configured to configure a discount model based on the merchant transaction information after multidimensional analysis, and calculate to obtain discount data of the current merchant service by using the commission fee calculation model;
and a data combining unit 304, configured to combine the initial commission data and the offer data to calculate final commission data.
In one embodiment, the initial computing unit 302 includes:
the first determining unit is used for determining a commission charge type matched with the merchant transaction information according to the multi-dimensional information of the merchant transaction information; the type of the commission charge comprises commission charge time, precision algorithm, transaction amount segmentation, charge mode and maximum charge;
and the first selection unit is used for selecting a corresponding commission charge calculation model according to the commission charge collection type so as to calculate and obtain the initial commission charge data.
In one embodiment, the offer calculating unit 303 includes:
the second determining unit is used for determining a discount type matched with the merchant transaction information according to the multi-dimensional information of the merchant transaction information; wherein the offer types include flat rate activity, rate flat reduction activity, rate discount activity, commission cashback activity, commission active package;
and the second selection unit is used for selecting a corresponding discount model according to the discount type and calculating the discount data.
In one embodiment, the second selecting unit includes:
a first calculating unit, configured to calculate offer data according to the following formula when the offer type is flat rate activity:
r＝a‰
wherein, r represents preferential data, a represents fixed fee of the trade information of the commercial tenant;
a second calculating unit, configured to calculate, when the offer type is a rate-decreasing campaign, offer data according to the following formula:
r＝R-1‰，r>0
wherein R represents the original transaction rate;
a third calculating unit, configured to calculate, when the offer type is a rate discount activity, offer data according to the following formula:
r＝R*b
where b represents the discount value.
In one embodiment, the data combining unit 304 includes:
the difference calculating unit is used for calculating the difference between the initial commission data and the discount data to obtain final commission data when the discount type is any one or more of fixed rate activity, fixed rate reduction activity or rate discount activity;
a fourth calculating unit, configured to calculate final commission data according to the following formula when the offer type is a commission offer activity:
c＝C-r；c>0
wherein C represents final charge data, and C represents initial charge data;
a fifth calculating unit, configured to calculate final commission data according to the following formula when the offer type is a commission package:
∑c＝∑C–r
in the formula, Σ C represents final commission charge data for a preset time period, and Σ C represents initial commission charge data for the preset time period.
In one embodiment, the merchant transaction information includes multidimensional information, the multidimensional information includes a bank access system, a merchant name, a merchant number, an industry, a product, a transaction card, and a transaction channel;
the information analysis unit 301 includes:
and the multithreading acquisition unit is used for acquiring the transaction information of the commercial tenant in a multithreading manner by adopting a message queue and analyzing the transaction information of the commercial tenant according to the multidimensional information.
In an embodiment, the multi-dimensional based commission data processing apparatus 300 further comprises:
the proportion obtaining unit is used for obtaining the lubrication proportion of the participants;
and the proportion dividing unit is used for carrying out proportion division on the final commission charge data according to the lubrication division proportion.
Since the embodiments of the apparatus portion and the method portion correspond to each other, please refer to the description of the embodiments of the method portion for the embodiments of the apparatus portion, which is not repeated here.
Embodiments of the present invention also provide a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed, the steps provided by the above embodiments can be implemented. The storage medium may include: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The embodiment of the present invention further provides a computer device, which may include a memory and a processor, where the memory stores a computer program, and the processor may implement the steps provided in the above embodiments when calling the computer program in the memory. Of course, the computer device may also include various network interfaces, power supplies, and the like.
The embodiments are described in a progressive manner in the specification, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. For the system disclosed by the embodiment, the description is relatively simple because the system corresponds to the method disclosed by the embodiment, and the relevant points can be referred to the method part for description. It should be noted that, for those skilled in the art, it is possible to make several improvements and modifications to the present application without departing from the principle of the present application, and such improvements and modifications also fall within the scope of the claims of the present application.
It is further noted that, in the present specification, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Claims (10)
1. A multi-dimensional handling fee data processing method is characterized by comprising the following steps:
acquiring merchant transaction information, and carrying out multi-dimensional analysis on the merchant transaction information;
configuring a commission charge calculation model based on the transaction information of the merchant after multidimensional analysis, and calculating by using the commission charge calculation model to obtain initial commission charge data of the current merchant service;
configuring a discount model based on the merchant transaction information after multidimensional analysis, and calculating by using the commission charge calculation model to obtain discount data of the current merchant service;
and calculating to obtain final commission charge data by combining the initial commission charge data and the preferential data.
2. The method as claimed in claim 1, wherein the step of configuring a commission calculation model based on the merchant transaction information after multidimensional parsing and calculating the initial commission data of the current merchant service by using the commission calculation model comprises:
determining a commission fee charging type matched with the merchant transaction information according to the multidimensional information of the merchant transaction information; the type of the commission charge comprises commission charge time, precision algorithm, transaction amount segmentation, charge mode and maximum charge;
and selecting a corresponding commission charge calculation model according to the commission charge charging type so as to calculate and obtain the initial commission charge data.
3. The multi-dimensional commission charge data processing method according to claim 1, wherein said merchant transaction information after multi-dimensional analysis is used for configuring a commission model, and the commission charge calculation model is used for calculating the commission data of the current merchant service, and the method comprises the following steps:
determining a discount type matched with the merchant transaction information according to the multidimensional information of the merchant transaction information; wherein the offer types include flat rate activities, rate flat reduction activities, rate discount activities, commission cashback activities, commission activity packages;
and selecting a corresponding discount model according to the discount type, and calculating the discount data.
4. The multi-dimensional commission fee data processing method according to claim 3, wherein the selecting a corresponding offer model according to the offer type and calculating the offer number comprises:
when the offer type is flat rate activity, calculating offer data according to the following formula:
r＝a‰
wherein r represents preferential data, a represents fixed fee of the merchant transaction information;
when the offer type is a fixed rate reduction activity, calculating offer data according to the following formula:
r＝R-1‰，r>0
wherein R represents the original transaction rate;
when the offer type is a rate discount activity, calculating offer data according to the following formula:
r＝R*b
where b represents the discount value.
5. The multidimensional handling fee data processing method according to claim 4, wherein the calculating final handling fee data by combining the initial handling fee data and the offer data comprises:
when the discount type is any one or more of fixed rate activity, rate fixed reduction activity or rate discount activity, calculating the difference between the initial commission data and the discount data to obtain final commission data;
when the offer type is a commission offer activity, calculating final commission data according to the following formula:
c＝C-r；c>0
wherein C represents final charge data, and C represents initial charge data;
when the offer type is a commission package, calculating final commission data according to the following formula:
∑c＝∑C–r
in the formula, Σ C represents final commission charge data for a preset time period, and Σ C represents initial commission charge data for the preset time period.
6. The multi-dimensional commission fee data processing method according to claim 1, wherein the merchant transaction information includes multi-dimensional information, said multi-dimensional information includes bank access system, merchant name, merchant number, industry, product, transaction card, transaction channel;
the acquiring of the merchant transaction information and the multidimensional analysis of the merchant transaction information include:
and obtaining the transaction information of the commercial tenant in a multi-thread mode by adopting a message queue, and analyzing the transaction information of the commercial tenant according to the multi-dimensional information.
7. The multi-dimensional commission data processing method of claim 1 further comprising:
acquiring the partial wetting proportion of the participants;
and carrying out proportion division on the final commission charge data according to the lubrication proportion.
8. A multi-dimensional based commission fee data processing device, comprising:
the information analysis unit is used for acquiring merchant transaction information and carrying out multi-dimensional analysis on the merchant transaction information;
the initial calculation unit is used for configuring a commission charge calculation model based on the merchant transaction information after multidimensional analysis, and calculating to obtain initial commission charge data of the current merchant service by using the commission charge calculation model;
the discount calculation unit is used for configuring a discount model based on the merchant transaction information after multidimensional analysis and calculating discount data of the current merchant service by using the commission charge calculation model;
and the data combination unit is used for combining the initial commission charge data and the discount data to calculate and obtain final commission charge data.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing a multi-dimensional handling fee data processing method according to any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, having stored thereon a computer program which, when executed by a processor, implements the multi-dimensional handling fee data processing method according to any one of claims 1 to 7.
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| CN113822704A (en) * | 2021-09-01 | 2021-12-21 | 中电金信软件有限公司 | Method and device for calculating discount cost, electronic equipment and readable storage medium |
| CN113935821A (en) * | 2021-09-15 | 2022-01-14 | 中电金信软件有限公司 | Method, device, electronic equipment and medium for settling commission charge in banking business |
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