CN114782198A - Commission deferred analysis method, device, electronic device and storage medium - Google Patents

Abstract

The invention relates to the field of intelligent decision making, and discloses a commission delay analysis method, a commission delay analysis device, electronic equipment and a storage medium, wherein the method comprises the following steps: acquiring order data, and dividing the order data into current delay data and circulating delay data; synchronizing the numerical value of the current delay data in a preset position holding table to obtain a current position holding table, and synchronizing the numerical value of the circulating delay data in the preset position holding table to obtain a circulating position holding table; extracting historical data of a current position holding table and a circulating position holding table, and constructing and optimizing an initial commission deferred analysis model of the historical data to obtain a target commission deferred analysis model; inquiring the residual value in the current position holding table, and analyzing the current deferred commission of the residual value according to a commission deferred analysis model to obtain the current commission of the order data; and querying the residual values in the cyclic position holding table, and analyzing cyclic delayed commissions in the residual values according to a commission delayed analysis model to obtain cyclic commissions of the order data. The invention can improve the effectiveness of commission analysis.

Description

Commission deferred analysis method, device, electronic device and storage medium

technical field

The present invention relates to the field of data decision-making, and in particular, to a commission deferred analysis method, device, electronic device and computer-readable storage medium.

Background technique

Commission deferral analysis refers to deferring orders according to the sales order volume and transaction amount, and matching the rules for calculating commissions, and analyzing the orders through the rules to obtain the corresponding commissions.

At present, the commission analysis mainly uses the corresponding calculation rules to calculate the order volume and order amount at one time, and then distributes all the commissions corresponding to each order to the salesperson, so that when the user redeems the commission in advance, it has already been distributed to the business. The commissions in the hands of the employees are repeatedly turned over between the company and the salesmen. Therefore, the timeliness of the current commission analysis is relatively low.

SUMMARY OF THE INVENTION

The present invention provides a commission deferred analysis method, device, electronic device and computer-readable storage medium, the main purpose of which is to improve the timeliness of commission issuance.

In order to achieve the above-mentioned purpose, a kind of commission deferred analysis method provided by the present invention includes:

Obtain order data, and divide the order data into current deferred data and cyclic deferred data;

Synchronizing the value corresponding to the current deferred data in the preset position table to obtain a current position table, and synchronizing the value corresponding to the cyclically deferred data in the preset position table to obtain a cyclic position table;

Extract the historical data of the current position table and the cyclical position table, build the initial commission deferred analysis model of the current position table and the cyclical position table according to the historical data, and analyze the initial commission deferred analysis The model is optimized to obtain the target commission deferred analysis model;

query the remaining value in the current position table, analyze the current deferred commission in the remaining value according to the target commission deferred analysis model, and obtain the current commission of the order data;

The remaining value in the cyclical position table is inquired, and the cyclical deferred commission in the remaining value is analyzed according to the target commission deferred analysis model to obtain the cyclical commission of the order data.

Optionally, dividing the order data into current deferred data and cyclically deferred data includes:

Obtain the data type of each data in the order data;

According to the data type, identify the data attribute of each data in the order data;

According to the data attribute, determine whether each data in the order data is within a preset range;

If the data in the order data is within the preset range, use the data within the preset range as the current deferred data;

If the order data is not within the preset range, the data beyond the preset range is regarded as cyclically deferred data.

Optionally, synchronizing the value corresponding to the current deferred data in the preset position table to obtain the current position table, including:

identifying the data type of the value corresponding to the current deferred data;

query the insertion position of the value corresponding to the current deferred data in the preset position table;

The value corresponding to the current deferred data is inserted into the insertion position in the preset position table according to the data type of each value to obtain the current position table.

Optionally, according to the historical data, construct an initial commission deferred analysis model of the current position table and the recurring position table, including:

classifying the historical data to obtain classified historical data;

According to the classified historical data, matching the position table analysis method of the current position table and the cyclic position table;

According to the position table analysis method, construct a pre-trained commission deferred analysis model of the current position table and the recurring position table;

Calculate the mean square error of the pre-training commission deferred analysis model, identify the minimum mean square error in the mean square error, and when the minimum mean square error is lower than a preset threshold, send the pre-training commission The deferred analysis model is used as the initial commission deferred analysis model.

Optionally, the calculating the mean square error of the pre-trained commission deferred analysis model includes:

The mean squared error of the pre-trained commission deferred analysis model is calculated by the following formula:

Among them, MSE represents the mean square error of the pre-trained commission deferred analysis model, _yi represents the actual value of the training data in the pre-trained commission deferred analysis model, and _xi represents the prediction of the training data by the pre-trained commission deferred analysis model. value, n represents the number of training data.

Optionally, the querying the remaining values in the current position table includes:

Locate the classification identifier of each value in the current position table;

According to the classification identifier, the remaining amount of each value is queried, and the remaining amount is used as the remaining value in the current position table.

Optionally, according to the target commission deferred analysis model, analyze the current deferred commission in the remaining value to obtain the current commission of the order data, including:

Extracting the current deferred analysis value in the remaining value through the target commission deferred analysis model;

identifying constraints between the current deferred analysis values;

Construct the current commission analysis function of the current deferred analysis value according to the constraint relationship between the current deferred analysis value;

The current commission for the order data is calculated by the current commission analysis function.

In order to solve the above problems, the present invention also provides a commission deferred analysis device, the device includes:

an order data division module, used for acquiring order data, and dividing the order data into current deferred data and cyclic deferred data;

The cyclic deferred data synchronization module is used for synchronizing the value corresponding to the current deferred data in the preset position table, obtaining the current position table, and synchronizing the value corresponding to the cyclic deferred data with the preset position table , get the circular position table;

A deferred analysis model optimization module, used for extracting the historical data of the current position table and the cyclical position table, and constructing the initial commission deferred analysis model of the current position table and the cyclical position table according to the historical data , optimize the initial commission deferred analysis model to obtain the target commission deferred analysis model;

The current deferred commission analysis module is used to query the remaining value in the current position table, analyze the current deferred commission in the remaining value according to the target commission deferred analysis model, and obtain the current commission of the order data ;

The cycle deferred commission analysis module is used to query the remaining value in the cycle position table, analyze the cycle deferred commission in the remaining value according to the target commission deferred analysis model, and obtain the cycle commission of the order data.

In order to solve the above problems, the present invention also provides an electronic device, the electronic device includes:

at least one processor; and,

a memory communicatively coupled to the at least one processor; wherein,

The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to implement the above-mentioned method for analyzing the deferred commission.

In order to solve the above problems, the present invention also provides a computer-readable storage medium, where at least one computer program is stored in the computer-readable storage medium, and the at least one computer program is executed by a processor in an electronic device to realize the above-mentioned The commission deferral analysis method described above.

It can be seen that the embodiment of the present invention divides the order data into the current deferred data and the cyclic deferred data, so as to reduce the multi-issue by dividing the products that have not expired and the user has redeemed in advance to calculate the commission multiple times. In the case of commission, further, in the embodiment of the present invention, the current position table is obtained by synchronizing the value corresponding to the current deferred data with the preset position table, so that when the commission is settled, the current position table can be directly obtained from the current position table. The value obtained from the position table is calculated. Further, in the embodiment of the present invention, the value corresponding to the cyclically deferred data is synchronized with the preset position table to obtain the cyclic position table, which can be used to directly settle the commission when the commission is settled. The numerical value is obtained from the cyclical position table for calculation. Further, in the embodiment of the present invention, an initial commission deferred analysis model of the current position table and the cyclical position table is constructed, so as to obtain the numerical value in the position table subsequently. When there is a change, the value in the position table can be dynamically analyzed through the deferred commission analysis model. The remaining values in the position table are used as samples to ensure the premise of subsequent analysis of the samples through the deferred commission analysis model. Further, the embodiment of the present invention obtains the current commission of the order data by analyzing the current deferred commission in the remaining value according to the target commission deferred analysis model, which is used for data analysis through the trained model. , saving labor costs, and obtaining the current commission result conveniently and quickly. Further, in the embodiment of the present invention, by querying the remaining value in the cyclical position table, the remaining value in the cyclical position table is used as a sample to ensure subsequent pass. The premise of analyzing the sample by the commission deferral analysis model. Further, in the embodiment of the present invention, the recurring deferred commission in the remaining value is analyzed according to the target commission deferred analysis model to obtain the recurring commission of the order data, which is used for data analysis by the trained model. , save labor costs, and quickly and easily obtain recurring commission results. Therefore, the method, apparatus, electronic device, and computer-readable storage medium for commission deferred analysis provided by the embodiments of the present invention can improve the timeliness of commission analysis.

Description of drawings

1 is a schematic flowchart of a commission deferred analysis method provided by an embodiment of the present invention;

2 is a schematic block diagram of a commission deferred analysis device provided by an embodiment of the present invention;

3 is a schematic diagram of the internal structure of an electronic device for implementing a commission deferred analysis method provided by an embodiment of the present invention;

The realization, functional characteristics and advantages of the present invention will be further described with reference to the accompanying drawings in conjunction with the embodiments.

Detailed ways

It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

The embodiment of the present invention provides a commission deferred analysis method. The execution subject of the commission deferred analysis method includes, but is not limited to, at least one of electronic devices that can be configured to execute the method provided by the embodiment of the present invention, such as a server and a terminal. In other words, the commission deferred analysis method can be executed by software or hardware installed in a terminal device or a server device, and the software can be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like. The server can be an independent server, or can provide cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery network (Content Delivery Network) Network, CDN), and cloud servers for basic cloud computing services such as big data and artificial intelligence platforms.

Referring to FIG. 1 , it is a schematic flowchart of a commission deferred analysis method provided by an embodiment of the present invention. In the embodiment of the present invention, the commission deferred analysis method includes the following steps S1-S5:

S1. Acquire order data, and divide the order data into current deferred data and cyclic deferred data.

In the embodiment of the present invention, the order data includes data such as order number, user information, commodity information, order date, and the like. Optionally, the order data may be obtained through a data extraction table as a tool in the data extraction process, or may be obtained through technologies such as machine learning, natural language processing, and deep learning.

Further, in the embodiment of the present invention, the order data is divided into current deferred data and cyclic deferred data, so as to reduce multiple commissions by dividing the products that have not expired and the user has redeemed in advance to calculate commissions multiple times. Case. Wherein, the current deferred data refers to the data of commission settlement in the current month when the order data is divided into multiple data for calculation, and the cyclic deferred data refers to the data of the order data divided into multiple years When the data is calculated, the data of the settlement commission in the following year. In particular, if the data needs to be divided again in the next year, the data is also divided into multiple times, one piece of data is currently settled, the remaining data is settled in the next year, the currently settled data is the current deferred data, and the data settled in the next year Defer data for the loop.

In this embodiment of the present invention, the dividing the order data into current deferred data and cyclically deferred data includes: acquiring the data type of each data in the order data; identifying the order according to the data type The data attribute of each data in the data; according to the data attribute, determine whether each data in the order data is in the preset range; if the data in the order data is in the preset range, it will be in the The data within the preset range is used as the current deferred data; if the order data is not within the preset range, the data beyond the preset range is used as the cyclically deferred data.

The data type is used to characterize the data information features of the data, including amount, date and time, etc., and the data attribute is used to characterize the data dimension feature where the data is located, and the data dimension feature may be the location where the data is located. range, etc.

Further, in an optional embodiment of the present invention, the preset range may be that the amount is not greater than 1 million, and the purchase time is not greater than 5 years, and may also be set according to actual business scenarios.

Further, in an optional embodiment of the present invention, the data attribute may be identified by a whos function.

S2. Synchronizing the value corresponding to the current deferred data in the preset position table to obtain a current position table, and synchronizing the value corresponding to the cyclically deferred data in the preset position table to obtain a cyclic position table.

In the embodiment of the present invention, the current position table is obtained by synchronizing the value corresponding to the current deferred data with the preset position table, so that when the commission is settled, the value can be directly obtained from the current position table for calculation. .

The preset position table refers to a data table used to represent position details, and the position details are defined differently in different business scenarios. The position of said holder as published by its holder. The preset position table includes the name of the product purchased by the user, the amount of the product, the duration of the product, and the like.

In the embodiment of the present invention, the step of synchronizing the value corresponding to the current deferred data with the preset position table to obtain the current position table includes: identifying the data type of the value corresponding to the current deferred data; querying the The insertion position of the value corresponding to the current deferred data in the preset position table; the value corresponding to the current deferred data is inserted into the insertion position in the preset position table according to the data type of each value, Get the current position table.

In this embodiment of the present invention, a cyclical position table is obtained by synchronizing the value corresponding to the cyclically deferred data with a preset position table, so that when the commission is settled, the value can be directly obtained from the cyclical position table for calculation. .

It should be noted that the synchronization principle of the numerical value corresponding to the cyclically deferred data is the same as the synchronization principle of the numerical value corresponding to the above-mentioned current deferred data, and will not be further described here.

S3, extracting the historical data of the current position table and the cyclical position table, constructing an initial commission deferred analysis model of the current position table and the cyclical position table according to the historical data, and declaring the initial commission The deferred analysis model is optimized to obtain the target commission deferred analysis model.

The embodiment of the present invention extracts the historical data of the current position table and the cyclical position table for analyzing the characteristics of the historical data, and constructs a suitable data analysis model according to the characteristics of the historical data.

In the embodiment of the present invention, an initial commission deferred analysis model of the current position table and the cyclic position table is constructed according to the historical data, so that when the value obtained in the position table changes subsequently, the commission can be calculated through the commission. The deferred analysis model dynamically analyzes the values in the position table.

Wherein, the initial commission deferred analysis model is based on a given, limited training data for learning, assuming that the data is generated independently and identically distributed, and assuming that the model to be learned belongs to a certain function set, the function The set is called a hypothesis space, and an optimal model is selected from the hypothesis space, so that it has the optimal prediction result for the known training data and unknown test data under the given evaluation criteria. The commission deferred analysis model includes two fields, namely next_formula and commission_type. The next_formula indicates the next calculation strategy, and the commission_type indicates whether to deferred.

In the embodiment of the present invention, constructing the initial commission deferred analysis model of the current position table and the cyclical position table according to the historical data includes: classifying the historical data to obtain classified historical data; The classified historical data matches the position table analysis method of the current position table and the recurring position table; according to the position table analysis method, the pre-training commission deferred for the current position table and the recurring position table is constructed. analysis model; calculate the mean square error of the pre-trained commission deferred analysis model, identify the minimum mean square error among the mean square errors, and when the minimum mean square error is lower than a preset threshold The commission deferral analysis model is trained as the initial commission deferral analysis model.

Exemplarily, classifying the historical data may be to classify the historical data into real numbers, rational numbers, irrational numbers, etc.; when the historical data is a real number, it may be that the current position table matches the cyclic position table. Linear regression analysis method; build a linear regression model according to the linear regression analysis method, wherein the preset threshold may be 0.5.

Further, as an embodiment of the present invention, the calculating the mean square error of the pre-trained commission deferred analysis model includes: calculating the mean square error of the pre-trained commission deferred analysis model by the following formula:

Among them, MSE represents the mean square error of the pre-trained commission deferred analysis model, _yi represents the actual value of the training data in the pre-trained commission deferred analysis model, and _xi represents the prediction of the training data by the pre-trained commission deferred analysis model. value, n represents the number of training data.

Further, in this embodiment of the present invention, a target commission deferred analysis model is obtained by optimizing the initial commission deferred analysis model, which is used to analyze data through the optimized analysis model to improve the accuracy of data analysis.

Further, as an embodiment of the present invention, the initial commission deferred analysis model is optimized to obtain a target commission deferred analysis model, which is implemented by an optimization algorithm. Optionally, the preset optimization algorithm may be a gradient descent method, a Newton method, a quasi-Newton method, a conjugate gradient method, or the like.

S4. Query the remaining value in the current position table, analyze the current deferred commission in the remaining value according to the target commission deferred analysis model, and obtain the current commission of the order data.

In the embodiment of the present invention, by querying the remaining value in the current position table, the remaining value in the current position table is used as a sample to ensure the premise of subsequent analysis of the sample through the commission deferred analysis model .

Wherein, the remaining value in the current position table refers to the change value generated when the user redeems the product after purchasing the product, including the balance, the remaining redemption period, and the like.

In this embodiment of the present invention, the querying the remaining value in the current position table includes: locating the classification identifier of each value in the current position table; querying the remaining value of each value according to the classification identifier , take the remaining amount as the remaining value in the current position table.

Exemplarily, the classification identification of the numerical value may be a time identification, a currency identification, and the like.

Further, the embodiment of the present invention obtains the current commission of the order data by analyzing the current deferred commission in the remaining value according to the target commission deferred analysis model, which is used for data analysis through the trained model. , save labor costs, and get the current commission results quickly and easily.

In the embodiment of the present invention, analyzing the current deferred commission in the remaining value according to the target commission deferred analysis model, to obtain the current commission of the order data, includes: extracting through the commission deferred analysis model The current deferred analysis value in the remaining values; identifying the constraint relationship between the current deferred analysis values; constructing the current commission of the current deferred analysis value according to the constraint relationship between the current deferred analysis values Analysis function; the current commission of the order data is calculated by the current commission analysis function.

Exemplarily, when the remaining value is an amount of 1 million, the storage time is 5 years, and the interest is 50,000, the current deferred analysis value extracted through the commission deferred analysis model is an amount of 1 million and the storage time is 5 years; The constraint relationship between the current deferred analysis values is the relationship between currency and time; the current commission analysis function for constructing the current deferred analysis values is currency+time; the result of calculating the currency+time; analyzing the current commission The result of the function's calculation is the current commission for said order data.

S5. Query the remaining value in the cyclical position table, analyze the cyclical deferred commission in the remaining value according to the target commission deferred analysis model, and obtain the cyclical commission of the order data.

In this embodiment of the present invention, by querying the remaining value in the cyclical position table, the remaining value in the cyclical position table is used as a sample to ensure the premise of subsequent analysis of the sample through the deferred commission analysis model .

Wherein, the remaining value in the cyclical position table refers to the change value generated when the user redeems the product after purchasing the product, including the balance, the remaining redemption period, and the like.

It should be noted that the querying of the remaining value in the cyclical position table is the same as the above-mentioned principle of querying the remaining value in the cyclical position table, and will not be further described here.

In the embodiment of the present invention, the cyclic deferred commission in the remaining value is analyzed according to the target commission deferred analysis model to obtain the cyclic deferred commission of the order data, which is used for data analysis through the trained model, saving manpower Cost, convenient and quick to get the results of recurring commissions.

It should be noted that, according to the target commission deferred analysis model, the cyclic deferred commission in the remaining value is analyzed, and the cyclic commission of the order data is obtained and the above-mentioned target commission deferred analysis model is analyzed. The principle of obtaining the current deferred commission in the remaining value is the same as that of obtaining the current commission of the order data, which will not be further described here.

It can be seen that the embodiment of the present invention divides the order data into the current deferred data and the cyclic deferred data, so as to reduce the multi-issue by dividing the products that have not expired and the user has redeemed in advance to calculate the commission multiple times. In the case of commission, further, in the embodiment of the present invention, the current position table is obtained by synchronizing the value corresponding to the current deferred data with the preset position table, so that when the commission is settled, the current position table can be directly obtained from the current position table. The value obtained from the position table is calculated. Further, in the embodiment of the present invention, the value corresponding to the cyclically deferred data is synchronized with the preset position table to obtain the cyclic position table, which can be used to directly settle the commission when the commission is settled. The numerical value is obtained from the cyclical position table for calculation. Further, in the embodiment of the present invention, an initial commission deferred analysis model of the current position table and the cyclical position table is constructed, so as to obtain the numerical value in the position table subsequently. When there is a change, the value in the position table can be dynamically analyzed through the deferred commission analysis model. The remaining values in the position table are used as samples to ensure the premise of subsequent analysis of the samples through the deferred commission analysis model. Further, the embodiment of the present invention obtains the current commission of the order data by analyzing the current deferred commission in the remaining value according to the target commission deferred analysis model, which is used for data analysis through the trained model. , saving labor costs, and obtaining the current commission result conveniently and quickly. Further, in the embodiment of the present invention, by querying the remaining value in the cyclical position table, the remaining value in the cyclical position table is used as a sample to ensure subsequent pass. The premise of analyzing the sample by the commission deferral analysis model. Further, in the embodiment of the present invention, the recurring deferred commission in the remaining value is analyzed according to the target commission deferred analysis model to obtain the recurring commission of the order data, which is used for data analysis by the trained model. , save labor costs, and quickly and easily obtain recurring commission results. The embodiments of the present invention can improve the timeliness of commission analysis.

As shown in FIG. 2 , it is a functional block diagram of the commission deferred analysis device of the present invention.

The commission deferred analysis device 100 of the present invention can be installed in an electronic device. According to the implemented functions, the deferred commission analysis device may include an order data division module 101, a cyclic deferred data synchronization module 102, a deferred analysis model optimization module 103, a current deferred commission analysis module 104, and a cyclic deferred commission analysis module 105. The modules in the present invention can also be called units, which refer to a series of computer program segments that can be executed by the processor of the electronic device and can perform fixed functions, and are stored in the memory of the electronic device.

In this embodiment, the functions of each module/unit are as follows:

The order data division module 101 is configured to obtain order data, and divide the order data into current deferred data and cyclic deferred data;

The cyclic deferred data synchronization module 102 is configured to synchronize the value corresponding to the current deferred data in the preset position table, obtain the current position table, and synchronize the value corresponding to the cyclic deferred data with the preset position table. Set the position table to get the circular position table;

The deferred analysis model optimization module 103 is configured to extract the historical data of the current position table and the cyclical position table, and construct the initial commission rate of the current position table and the cyclical position table according to the historical data. a deferred analysis model, which optimizes the initial commission deferred analysis model to obtain a target commission deferred analysis model;

The current deferred commission analysis module 104 is used to query the remaining value in the current position table, analyze the current deferred commission in the remaining value according to the target commission deferred analysis model, and obtain the order data the current commission;

The cyclic deferred commission analysis module 105 is used to query the remaining value in the cyclic position table, analyze the cyclic deferred commission in the remaining value according to the target commission deferred analysis model, and obtain the cyclic deferred commission of the order data. commission.

In detail, the modules in the commission deferred analysis device 100 in the embodiment of the present invention use the same technical means as the commission deferred analysis method described in FIG. 1 above, and can generate the same The technical effect will not be repeated here.

As shown in FIG. 3 , it is a schematic structural diagram of the electronic device 1 for implementing the commission deferred analysis method according to the present invention.

The electronic device 1 may include a processor 10, a memory 11, a communication bus 12 and a communication interface 13, and may also include a computer program stored in the memory 11 and executable on the processor 10, such as commission deferred Analysis program.

The processor 10 may be composed of integrated circuits in some embodiments, for example, may be composed of a single packaged integrated circuit, or may be composed of multiple integrated circuits packaged with the same function or different functions, including one or A combination of multiple central processing units (Central Processing Units, CPUs), microprocessors, digital processing chips, graphics processors, and various control chips, etc. The processor 10 is the control core (ControlUnit) of the electronic device 1, and uses various interfaces and lines to connect various components of the entire electronic device 1, and by running or executing the programs or modules (for example, stored in the memory 11) Execute a commission deferred analysis program, etc.), and call the data stored in the memory 11 to execute various functions of the electronic device 1 and process data.

The memory 11 includes at least one type of readable storage medium, and the readable storage medium includes flash memory, mobile hard disk, multimedia card, card-type memory (for example: SD or DX memory, etc.), magnetic memory, magnetic disk, optical disk, etc. . The memory 11 may be an internal storage unit of the electronic device 1 in some embodiments, such as a mobile hard disk of the electronic device 1 . In other embodiments, the memory 11 may also be an external storage device of the electronic device 1, such as a pluggable mobile hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, flash memory card (Flash Card), etc. Further, the memory 11 may also include both an internal storage unit of the electronic device 1 and an external storage device. The memory 11 can not only be used to store application software installed in the electronic device 1 and various types of data, such as the code of the commission deferred analysis program, etc., but also can be used to temporarily store the data that has been output or will be output.

The communication bus 12 may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus or the like. The bus can be divided into address bus, data bus, control bus and so on. The bus is configured to implement connection communication between the memory 11 and at least one processor 10 and the like.

The communication interface 13 is used for communication between the electronic device 1 and other devices, including a network interface and an employee interface. Optionally, the network interface may include a wired interface and/or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device 1 and other electronic devices 1 . The employee interface may be a display (Display), an input unit (such as a keyboard (Keyboard)), and optionally, the employee interface may also be a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode, organic light-emitting diode) touch device, and the like. The display may also be appropriately called a display screen or a display unit, for displaying information processed in the electronic device 1 and for displaying a visual employee interface.

FIG. 3 only shows the electronic device 1 with components, and those skilled in the art can understand that the structure shown in FIG. 3 does not constitute a limitation on the electronic device 1, and may include fewer or more components than shown in the figure. components, or a combination of certain components, or a different arrangement of components.

For example, although not shown, the electronic device 1 may also include a power supply (such as a battery) for powering the various components, preferably, the power supply may be logically connected to the at least one processor 10 through a power management device, so that the power management The device implements functions such as charge management, discharge management, and power consumption management. The power source may also include one or more DC or AC power sources, recharging devices, power failure detection circuits, power converters or inverters, power status indicators, and any other components. The electronic device 1 may further include various sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.

It should be understood that the embodiments are only used for illustration, and are not limited by this structure in the scope of the patented invention.

The commission deferred analysis program stored in the memory 11 in the electronic device 1 is a combination of multiple computer programs, and when running in the processor 10, it can realize:

Obtain order data, and divide the order data into current deferred data and cyclic deferred data;

Synchronizing the value corresponding to the current deferred data in the preset position table to obtain a current position table, and synchronizing the value corresponding to the cyclically deferred data in the preset position table to obtain a cyclic position table;

Extract the historical data of the current position table and the cyclical position table, build the initial commission deferred analysis model of the current position table and the cyclical position table according to the historical data, and analyze the initial commission deferred analysis The model is optimized to obtain the target commission deferred analysis model;

query the remaining value in the current position table, analyze the current deferred commission in the remaining value according to the target commission deferred analysis model, and obtain the current commission of the order data;

The remaining value in the cyclical position table is inquired, and the cyclical deferred commission in the remaining value is analyzed according to the target commission deferred analysis model to obtain the cyclical commission of the order data.

Specifically, for the specific implementation method of the above-mentioned computer program by the processor 10, reference may be made to the description of the relevant steps in the corresponding embodiment of FIG. 1, and details are not described herein.

Further, if the modules/units integrated in the electronic device 1 are implemented in the form of software functional units and sold or used as independent products, they may be stored in a non-volatile computer-readable storage medium. The computer-readable storage medium may be volatile or non-volatile. For example, the computer-readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a removable hard disk, a magnetic disk, an optical disc, a computer memory, a read-only memory (ROM, Read-Only). Memory).

The present invention also provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by the processor of the electronic device 1, can realize:

Obtain order data, and divide the order data into current deferred data and cyclic deferred data;

Synchronizing the value corresponding to the current deferred data in the preset position table to obtain a current position table, and synchronizing the value corresponding to the cyclically deferred data in the preset position table to obtain a cyclic position table;

Extract the historical data of the current position table and the cyclical position table, build the initial commission deferred analysis model of the current position table and the cyclical position table according to the historical data, and analyze the initial commission deferred analysis The model is optimized to obtain the target commission deferred analysis model;

query the remaining value in the current position table, analyze the current deferred commission in the remaining value according to the target commission deferred analysis model, and obtain the current commission of the order data;

The remaining value in the cyclical position table is inquired, and the cyclical deferred commission in the remaining value is analyzed according to the target commission deferred analysis model to obtain the cyclical commission of the order data.

In the several embodiments provided by the present invention, it should be understood that the disclosed apparatus, apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are only illustrative. For example, the division of the modules is only a logical function division, and there may be other division manners in actual implementation.

The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution in this embodiment.

In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically alone, or two or more units may be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware, or can be implemented in the form of hardware plus software function modules.

It will be apparent to those skilled in the art that the present invention is not limited to the details of the above-described exemplary embodiments, but that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics of the invention.

Therefore, the embodiments are to be regarded in all respects as illustrative and not restrictive, and the scope of the invention is to be defined by the appended claims rather than the foregoing description, which are therefore intended to fall within the scope of the claims. All changes within the meaning and range of the equivalents of , are included in the present invention. Any reference signs in the claims shall not be construed as limiting the involved claim.

The embodiments of the present invention can acquire and process related data based on artificial intelligence technology. Among them, artificial intelligence (AI) is a theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results. .

Furthermore, it is clear that the word "comprising" does not exclude other units or steps and the singular does not exclude the plural. Several units or means recited in the system claims can also be implemented by one unit or means by means of software or hardware. Second-class terms are used to denote names and do not denote any particular order.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be Modifications or equivalent substitutions can be made without departing from the spirit and scope of the technical solutions of the present invention.

Claims (10)

1. A commission deferral analysis method, comprising:

acquiring order data, and dividing the order data into current delay data and circulating delay data;

synchronizing the numerical value corresponding to the current delay data in a preset position holding table to obtain a current position holding table, and synchronizing the numerical value corresponding to the cyclic delay data in the preset position holding table to obtain a cyclic position holding table;

extracting historical data of the current position-taken table and the circulating position-taken table, constructing an initial commission delay analysis model of the current position-taken table and the circulating position-taken table according to the historical data, and optimizing the initial commission delay analysis model to obtain a target commission delay analysis model;

inquiring the residual values in the current position holding table, and analyzing the current deferred commission in the residual values according to the target commission deferred analysis model to obtain the current commission of the order data;

and querying the residual values in the cyclic position taking table, and analyzing cyclic delayed commissions in the residual values according to the target commissions delay analysis model to obtain cyclic commissions of the order data.

2. The commission deferral analysis method of claim 1 wherein said dividing said order data into current deferral data and cycle deferral data comprises:

acquiring the data type of each piece of data in the order data;

identifying the data attribute of each data in the order data according to the data type;

judging whether each data in the order data is in a preset range or not according to the data attribute;

if the data in the order data is in the preset range, taking the data in the preset range as current delay data;

and if the order data is not in the preset range, taking the data beyond the preset range as cyclic delay data.

3. The commission delay analysis method of claim 1, wherein synchronizing a value corresponding to the current delay data in a preset position-taking table to obtain a current position-taking table comprises:

identifying the data type of a numerical value corresponding to the current deferred data;

inquiring the insertion position of a numerical value corresponding to the current deferral data in the preset position holding table;

and inserting the numerical value corresponding to the current delay data into an insertion position in the preset position holding table according to the data type of each numerical value to obtain the current position holding table.

4. The commission delay analysis method of claim 1 wherein constructing an initial commission delay analysis model of the current position taken table and the circulating position taken table based on the historical data comprises:

classifying the historical data to obtain classified historical data;

matching the current position holding table with a position holding table analysis method of the circulating position holding table according to the classification historical data;

constructing a pre-training commission delay analysis model of the current position-taken table and the circulating position-taken table according to the position-taken table analysis method;

calculating the mean square error of the pre-trained commission delay analysis model, identifying the minimum mean square error in the mean square errors, and taking the pre-trained commission delay analysis model as an initial commission delay analysis model when the minimum mean square error is lower than a preset threshold value.

5. The commission delay analysis method of claim 4, wherein calculating a mean square error of the pre-trained commission delay analysis model comprises:

calculating a mean square error of the pre-trained commission deferred analysis model by the following formula:

where MSE represents the mean square error of the pre-trained commission deferred analysis model, y_iReal value, x, representing training data in a pre-training commission deferred analysis model_iAnd the prediction value of the pre-training commission deferred analysis model for predicting the training data is shown, and n represents the data number of the training data.

6. The commission deferral analysis method of claim 1 wherein said querying a remaining value in said current position table comprises:

positioning the classification identification of each numerical value in the current position holding table;

and inquiring the residual quantity of each numerical value according to the classification identification, and taking the residual quantity as the residual numerical value in the current position taking table.

7. The commission delay analysis method of claim 1, wherein analyzing the current delayed commission in the remaining numerical values according to the target commission delay analysis model to obtain the current commission of the order data comprises:

extracting, by the target commission deferred analysis model, a current deferred analysis value of the remaining values;

identifying a constraint relationship between the current deferred analysis values;

constructing a current commission analysis function of the current delay analysis value according to the constraint relation between the current delay analysis values;

calculating a current commission of the order data through the current commission analysis function.

8. A commission deferral analysis apparatus, comprising:

the order data dividing module is used for acquiring order data and dividing the order data into current delay data and circulating delay data;

the circulating deferral data synchronization module is used for synchronizing a numerical value corresponding to the current deferral data in a preset position holding table to obtain a current position holding table, and synchronizing a numerical value corresponding to the circulating deferral data in the preset position holding table to obtain a circulating position holding table;

the deferred analysis model optimization module is used for extracting historical data of the current position taking table and the circulating position taking table, constructing an initial commission deferred analysis model of the current position taking table and the circulating position taking table according to the historical data, and optimizing the initial commission deferred analysis model to obtain a target commission deferred analysis model;

a current deferred commission analysis module, configured to query remaining numerical values in the current position table, and analyze a current deferred commission in the remaining numerical values according to the target commission deferred analysis model to obtain a current commission of the order data;

and the cyclic deferred commission analysis module is used for inquiring the residual values in the cyclic position taking table and analyzing the cyclic deferred commissions in the residual values according to a target commission deferred analysis model to obtain the cyclic commissions of the order data.

9. An electronic device, characterized in that the electronic device comprises:

at least one processor; and the number of the first and second groups,

a memory communicatively coupled to the at least one processor; wherein,

the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the commission deferral analysis method of any one of claims 1-7.

10. A computer-readable storage medium, storing a computer program, wherein the computer program, when executed by a processor, implements the commission deferral analysis method of any one of claims 1-7.

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