CN117422576B - Business and finance integrated management system and method for commodity sales based on cloud computing - Google Patents
Business and finance integrated management system and method for commodity sales based on cloud computing Download PDFInfo
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract
The invention discloses a business and finance integrated management system and a method for commodity sales based on cloud computing, which belong to the field of data processing systems specially suitable for management purposes.
Description
Technical Field
The invention belongs to the technical field of data processing systems specially suitable for management purposes, and particularly relates to a business and finance integrated management system and method for commodity sales based on cloud computing.
Background
The system aims to improve the operation efficiency of merchants, reduce the cost, realize the real-time synchronization of business data and financial data, assist enterprise decision making, improve the service quality and sales accuracy, and the conventional commodity is usually paid by using WeChat or Payment BaoMi code, so that consumers (especially old consumers) can pay wrong BaoMi code amount at times when paying, and the prior art cannot check the input price of a buyer together according to the sales data of similar merchants and the purchasing merchant, so that the checking accuracy is poor;
for example, in chinese patent with publication number CN111402024B, a financial internal control management system and a management method thereof are disclosed, and relate to the technical field of financial internal control management, where the system includes: and the flow design management module is used for creating a flow file in the system. And the business approval management module is used for submitting a business application form and an original certificate and driving approval activity to jump. And the financial accounting management module is used for confirming the bill, generating a prefabricated certificate and accounting, and finishing financial cost processing. The state of each approval link and the approval responsible person are clearly defined through the closed-loop business process design and algorithm engine driving, the allocation of rights and responsibilities is realized, the data extraction, verification, constraint, control and processing logic in the financial activity is preposed, the information island in the financial management process is eliminated, a flexible, safe and efficient internal control management scheme is provided for the financial business links, the financial risk is reduced, and the management level of a financial system is improved;
also disclosed, for example, in chinese patent publication number CN110246022B, is a financial management system and method, wherein the system includes a document generation module, a statement receiving and sending module, and a cash desk account generation module; the bill generation module generates a business bill according to related business of the consignor and the receiver and sends the business bill to the consignor and the receiver; the statement generation module stores the receivable payment in the business document and generates the statement by the required receivable payment; the statement of account receiving and dispatching module stores statement of account, and send the statement of account to the consignor or receiver; the cash ledger generation module generates a cash ledger of a receiver or a consignor according to cash receipts, accounts to be paid or statement of accounts in the business bill. The invention realizes the real-time sharing of data between the two transaction parties, avoids the economic loss caused by enterprise funds management loopholes, reduces the workload of enterprise financial staff and saves the human resources of society.
The problems proposed in the background art exist in the above patents: when the conventional commodity is consumed and purchased, a customer usually uses a WeChat or a payment treasured code payment mode, at this time, when the payment is carried out, the customer (especially an old customer) sometimes can pay the wrong code amount by accident, the prior art cannot carry out the verification of the input price of the buyer together according to the sales data of a similar merchant and the purchasing merchant, so that the verification accuracy is poor.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a business and finance integrated management system and method for commodity sales based on cloud computing, the invention extracts merchant historical commodity sales data and purchaser historical purchase level data in the commodity sales process, simultaneously obtains the purchase merchant and input price data of the purchaser, stores the purchase merchant and input price data in a cloud platform, importing the historical commodity sales data of the local merchant and the historical purchase data of the current buyer stored in the cloud platform into a similar merchant acquisition strategy to acquire similar merchants of a plurality of purchase merchants, acquiring the purchase data of the current buyer in the similar merchants of the purchase merchants, importing the acquired input price data of the current buyer and the historical purchase data of the current buyer in the similar merchants of the purchase merchants into a primary accurate value calculation formula to calculate the primary accurate value of the current purchase, the obtained input price data of the purchaser and the historical purchase data of the purchaser in the purchasing merchant are imported into a secondary accurate value calculation formula to calculate the secondary accurate value of the purchase, the obtained primary accurate value and the secondary accurate value are imported into a total accurate value calculation formula to calculate the total accurate value of the purchase, the calculated total accurate value is compared with a set accurate threshold, if the obtained total accurate value is greater than or equal to the set accurate threshold, normal payment is carried out, if the obtained total accurate value is smaller than the set accurate threshold, verification of the input price is prompted, the similar merchant is obtained, verification of the input price of the purchaser is carried out through the sales data of the similar merchant and the purchasing merchant, and the verification accuracy of the purchasing price is effectively improved.
In order to achieve the above purpose, the present invention provides the following technical solutions:
the business and finance integrated management method for commodity sales based on cloud computing comprises the following specific steps:
s1, extracting historical commodity sales data of a merchant and historical purchase level data of a purchaser in the commodity sales process, simultaneously acquiring purchase merchants and input price data of the purchaser, and storing the purchase merchant and the input price data in a cloud platform;
s2, importing historical commodity sales data of the local merchant and historical data of the purchasing merchant of the current buyer stored in the cloud platform into a similar merchant acquisition strategy to acquire similar merchants of a plurality of purchasing merchants, and acquiring purchase data of the purchasing merchant of the current buyer;
s3, importing the acquired input price data of the purchaser and the historical purchase data of the purchaser in the similar merchant of the purchasing merchant into a primary accurate value calculation formula to calculate a primary accurate value of the purchase;
s4, importing the acquired input price data of the purchaser and the historical purchase data of the purchaser in the purchasing merchant into a secondary accurate value calculation formula to calculate a secondary accurate value of the purchase;
s5, importing the obtained primary accurate value and the obtained secondary accurate value into a total accurate value calculation formula to calculate the total accurate value purchased at the time, comparing the calculated total accurate value with a set accurate threshold value, if the obtained total accurate value is greater than or equal to the set accurate threshold value, carrying out normal payment, and if the obtained total accurate value is smaller than the set accurate threshold value, prompting to check the input price.
Specifically, the similar merchant acquisition policy in S2 includes the following specific steps:
s21, acquiring historical commodity sales data of merchants in the local area and historical data of purchasing merchants of the current purchaser, which are stored in a cloud platform, and respectively extracting historical periodic sales amount data and category data of the sales commodities;
s22, acquiring historical periodic sales amount data of the merchant in the area and historical periodic sales amount data of the purchasing merchant, substituting the historical periodic sales amount data of the merchant in the area and the historical periodic sales amount data of the purchasing merchant into an amount difference calculation formula, wherein the amount difference calculation formula is as follows:wherein n is the number of cycles, +.>Sales amount data for the ith history period of the merchant in the area,/for the present area>Sales amount data for the ith history period of the purchasing merchant;
s23, acquiring historical periodic sales commodity kind data of other merchants in the area and historical periodic sales commodity kind data of purchasing merchants, substituting the historical periodic sales commodity kind data of the other merchants in the area and the historical periodic sales commodity kind data of the purchasing merchants into a commodity kind difference calculation formula to calculate commodity kind differences, wherein the commodity kind difference calculation formula is as follows:wherein m is the total number of commodity categories of other merchants, < ->Sales of the jth item for the ith period of other merchants in the area, +.>Sales of the jth item for the ith period of the purchasing merchant;
s24, substituting the sum difference and the commodity type difference obtained by calculation of other merchants and purchasing merchants in the same area into an integral difference calculation formula to calculate the integral difference, wherein the integral difference calculation formula is as follows:wherein->Is the difference duty ratio coefficient of commodity category, +.>Is the sum difference duty ratio coefficient, wherein +.>。
Specifically, the similar merchant acquisition policy in S2 further includes the following specific contents:
s25, comparing the calculated overall gap with a set overall gap threshold value to obtain local area merchants corresponding to the overall gap smaller than or equal to the set overall gap threshold value, setting the local area merchants as similar merchants of the purchasing merchants, and acquiring the purchasing data of the current purchaser in the similar merchants of the purchasing merchants from the cloud space.
Here, it is to be noted that, here、/>The value mode of the set integral gap threshold value is that 500 field experts are employed to classify the merchants in the area, historical period sales amount data and type data of sales commodities of each merchant after classification are obtained, the historical period sales amount data and the type data of the sales commodities are imported into a formula to calculate the integral gap, and the calculated integral gap and the obtained expert classification data are imported into fitting software to carry out the parts>、/>And outputting an optimal value of the set overall gap threshold;
it should be noted that, the historical periodic sales amount data and the type data of the sales commodity of each merchant are only extracted and then used in the system, and the historical periodic sales amount data and the type data of the sales commodity of each merchant cannot be obtained on the premise that no network attack is performed by an external person, so that the specific confidentiality problem is not considered;
specifically, the primary accurate value in S3 further includes the following specific steps:
s31, acquiring input price data of the current purchaser, and simultaneously acquiring historical purchase data of similar merchants of the current purchaser in the purchase merchants, which are stored in the cloud platform;
s32, importing historical purchase data of the purchaser in similar merchants of the purchasing merchant into a first-level average value calculation formula to calculate a first-level average value, wherein the calculation formula of the first-level average value of the S-th similar merchant is as follows:wherein->The first purchase amount data of the s-th similar merchant is provided, and L is the number of times the purchaser purchases at the s-th similar merchant;
s33, substituting the calculated primary average value and the overall gap of the similar merchants into a primary accurate value calculation formula to calculate a primary accurate value, wherein the primary accurate value calculation formula is as follows:wherein T is the input price data of the current buyer, S is the number of similar merchants, < ->Integer for the s-th similar merchantBody gap.
Specifically, the specific content of S4 includes the following specific steps:
s41, acquiring input price data of the current purchaser and historical purchasing data of the current purchaser in a purchasing merchant;
s42, importing the acquired input price data of the current purchaser and the historical purchase data of the current purchaser in the purchasing merchant into a secondary accurate value calculation formula to calculate a secondary accurate value of the current purchase, wherein the secondary accurate value calculation formula is as follows:wherein->The average value of historical purchase data of the purchaser at the purchasing merchant is obtained.
Specifically, the specific content of S5 includes the following specific steps:
s51, importing the obtained primary accurate value and the obtained secondary accurate value into a total accurate value calculation formula to calculate the total accurate value purchased at the time, wherein the total accurate value calculation formula is as follows:wherein->For the primary accurate value duty cycle factor, +.>The second-level accurate value is a duty ratio coefficient;
s52, comparing the calculated total accurate value with a set accurate threshold value, if the obtained total accurate value is larger than or equal to the set accurate threshold value, carrying out normal payment, and if the obtained total accurate value is smaller than the set accurate threshold value, prompting to check the input price.
Here, it is to be noted that, here、/>And the calculation mode of the accurate threshold value is as follows: extracting the historical data of the data scene with input errors, performing calculation of total accurate value in an import formula, and importing the calculated data into fitting software to obtain the optimal +_ according with the judgment accuracy>、/>And the value of the accurate threshold.
The business financial integrated management system based on the commodity sales based on cloud computing is realized and comprises a data storage module, a similar merchant screening module, a primary accurate value calculation module, a secondary accurate value calculation module, a total accurate value calculation module, a data comparison module and a control module, wherein the data storage module is used for extracting merchant historical commodity sales data and purchaser historical purchase level data in the commodity sales process, acquiring the purchase merchant and input price data of the purchaser at the same time, storing the purchase merchant and input price data in a cloud platform, and the similar merchant screening module is used for importing local merchant historical commodity sales data and purchase merchant historical data of the purchaser stored in the cloud platform into a similar merchant acquisition strategy to acquire similar merchants of a plurality of purchase merchants and acquiring the purchase data of the purchaser of the similar merchant of the purchaser.
Specifically, the primary accurate value calculation module is used for importing the acquired input price data of the current buyer and the historical purchase data of the similar merchant of the current buyer in the purchase merchant into the primary accurate value calculation formula to calculate the primary accurate value of the current purchase, the secondary accurate value calculation module is used for importing the acquired input price data of the current buyer and the historical purchase data of the current buyer in the secondary accurate value calculation formula to calculate the secondary accurate value of the current purchase, the total accurate value calculation module is used for importing the acquired primary accurate value and the secondary accurate value into the total accurate value calculation formula to calculate the total accurate value of the current purchase, the data comparison module is used for comparing the calculated total accurate value with a set accurate threshold, if the obtained total accurate value is larger than or equal to the set accurate threshold, normal payment is carried out, if the obtained total accurate value is smaller than the set accurate threshold, the input price is prompted to be checked, and the control module is used for controlling the operation of the data storage module, the similar merchant, the primary accurate value calculation module, the secondary accurate value calculation module and the total accurate value comparison module.
An electronic device, comprising: a processor and a memory, wherein the memory stores a computer program for the processor to call;
and the processor executes the business and finance integrated management method for commodity sales based on cloud computing by calling the computer program stored in the memory.
A computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform a business financial integrated management method for commodity sales based on cloud computing as described above.
Compared with the prior art, the invention has the beneficial effects that:
the method comprises the steps of extracting historical commodity sales data of a merchant and historical purchase level data of a purchaser in the commodity sales process, simultaneously acquiring the purchase merchant and input price data of the purchaser, storing the historical commodity sales data of the merchant in the local area and the historical purchase merchant data of the purchaser in a cloud platform, importing the historical commodity sales data of the merchant in the local area and the historical purchase merchant data of the purchaser into a similar merchant acquisition strategy, acquiring similar merchants of a plurality of purchase merchants, acquiring the purchase data of the purchaser in the similar merchants of the purchaser, importing the acquired input price data of the purchaser and the historical purchase data of the purchaser in a primary accurate value calculation formula, calculating the primary accurate value of the purchase in the primary accurate value calculation formula, importing the acquired input price data of the purchaser and the current purchase data of the purchaser in the secondary accurate value calculation formula, importing the acquired primary accurate value and the secondary accurate value into a total accurate value calculation formula, comparing the calculated total accurate value with a set accurate threshold, if the obtained total accurate value is greater than or equal to the set threshold, checking the obtained total accurate value and carrying out the verification of the obtained total accurate value and the obtained value of the purchaser in the secondary accurate value calculation formula, and carrying out the verification of the average value and the average value of the purchase price is greater than the normal value.
Drawings
FIG. 1 is a schematic flow diagram of a business finance integrated management method for commodity sales based on cloud computing;
fig. 2 is a schematic diagram of an overall framework of the business and finance integrated management system for commodity sales based on cloud computing.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments.
Example 1
Referring to fig. 1, an embodiment of the present invention is provided: the business and finance integrated management method for commodity sales based on cloud computing comprises the following specific steps:
s1, extracting historical commodity sales data of a merchant and historical purchase level data of a purchaser in the commodity sales process, simultaneously acquiring purchase merchants and input price data of the purchaser, and storing the purchase merchant and the input price data in a cloud platform;
the following provides a code example, showing that commodity sales history data and purchaser history purchase level data are extracted and saved in the cloud platform:
#include <stdio.h>
#include <stdlib.h>
data structure for selling/selling goods
typedef struct {
int itemId;
int sellerId;
float price;
} SalesData;
Data structure of/(purchaser)
typedef struct {
int buyerId;
int itemId;
float purchaseLevel;
} BuyerData;
int main() {
Variable// definition
SalesData* salesHistory = NULL;
BuyerData* buyerHistory = NULL;
int salesCount, buyerCount;
int sellerId, buyerId, itemId;
float price, purchaseLevel;
Obtaining merchant historical sales data
salesHistory = getSalesHistoryFromCloud(&salesCount);
Record/acquire purchaser historical purchase data
buyerHistory = getBuyerHistoryFromCloud(&buyerCount);
Input the purchase merchant and commodity price of the present buyer
printf ("please enter purchaser ID, merchant ID, merchandise ID, price:");
scanf("%d %d %d %f", &buyerId, &sellerId, &itemId, &price);
input of purchasing level data for a purchaser
printf ("please input purchase level data of the purchaser:");
scanf("%f", &purchaseLevel);
adding this purchase data to merchant historical sales data
SalesData newSalesData;
newSalesData.itemId = itemId;
newSalesData.sellerId = sellerId;
newSalesData.price = price;
salesHistory = realloc(salesHistory, (salesCount + 1) * sizeof(SalesData));
salesHistory[salesCount++] = newSalesData;
Adding this purchase level data to the purchaser history purchase data
BuyerData newBuyerData;
newBuyerData.buyerId = buyerId;
newBuyerData.itemId = itemId;
newBuyerData.purchaseLevel = purchaseLevel;
buyerHistory = realloc(buyerHistory, (buyerCount + 1) * sizeof(BuyerData));
buyerHistory[buyerCount++] = newBuyerData;
Saving merchant historical sales data and purchaser historical purchase data to a cloud platform
Memory/release
free(salesHistory);
free(buyerHistory);
return 0;
}
SalesData* getSalesHistoryFromCloud(int* count) {
Obtaining merchant historical sales data from a cloud platform
The/hypothesis cloud platform returns a SalesData type array salesData [ ]
return salesData;
}
BuyerData* getBuyerHistoryFromCloud(int* count) {
Obtaining purchaser history purchase data from a cloud platform
The/hypothesis cloud platform returns a BuyerData type array BuyerData [ ]
return buyerData;
}
The above example is a simple C language code example, demonstrating how to extract historical sales data and purchaser historical purchase level data, and add this purchase data to the historical data, which can be supplemented and modified according to actual conditions;
s2, importing historical commodity sales data of the local merchant and historical data of the purchasing merchant of the current buyer stored in the cloud platform into a similar merchant acquisition strategy to acquire similar merchants of a plurality of purchasing merchants, and acquiring purchase data of the purchasing merchant of the current buyer;
in this embodiment, the similar merchant acquisition strategy in S2 includes the following specific steps:
s21, acquiring historical commodity sales data of merchants in the local area and historical data of purchasing merchants of the current purchaser, which are stored in a cloud platform, and respectively extracting historical periodic sales amount data and category data of the sales commodities;
s22, acquiring historical periodic sales amount data of the merchant in the area and historical periodic sales amount data of the purchasing merchant, substituting the historical periodic sales amount data of the merchant in the area and the historical periodic sales amount data of the purchasing merchant into an amount difference calculation formula, wherein the amount difference calculation formula is as follows:wherein n is the number of cycles, +.>Sales amount data for the ith history period of the merchant in the area,/for the present area>Sales amount data for the ith history period of the purchasing merchant;
s23, acquiring historical periodic sales commodity kind data of other merchants in the area and historical periodic sales commodity kind data of purchasing merchants, and substituting the historical periodic sales commodity kind data of the other merchants in the area and the historical periodic sales commodity kind data of the purchasing merchants into the commodity kind differenceThe commodity type difference is calculated in the calculation formula, and the commodity type difference calculation formula is as follows:wherein m is the total number of commodity categories of other merchants, < ->Sales of the jth item for the ith period of other merchants in the area, +.>Sales of the jth item for the ith period of the purchasing merchant;
s24, substituting the sum difference and the commodity type difference obtained by calculation of other merchants and purchasing merchants in the same area into an integral difference calculation formula to calculate the integral difference, wherein the integral difference calculation formula is as follows:wherein->Is the difference duty ratio coefficient of commodity category, +.>Is the sum difference duty ratio coefficient, wherein +.>。
Specifically, the similar merchant acquisition policy in S2 further includes the following specific contents:
s25, comparing the calculated overall gap with a set overall gap threshold value to obtain local area merchants corresponding to the overall gap smaller than or equal to the set overall gap threshold value, setting the local area merchants as similar merchants of the purchasing merchants, and acquiring the purchasing data of the current purchaser in the similar merchants of the purchasing merchants from the cloud space.
Here, it is to be noted that, here、/>The value mode of the set integral gap threshold value is that 500 field experts are employed to classify the merchants in the area, historical period sales amount data and type data of sales commodities of each merchant after classification are obtained, the historical period sales amount data and the type data of the sales commodities are imported into a formula to calculate the integral gap, and the calculated integral gap and the obtained expert classification data are imported into fitting software to carry out the parts>、/>And outputting an optimal value of the set overall gap threshold;
it should be noted that, the historical periodic sales amount data and the type data of the sales commodity of each merchant are only extracted and then used in the system, and the historical periodic sales amount data and the type data of the sales commodity of each merchant cannot be obtained on the premise that no network attack is performed by an external person, so that the specific confidentiality problem is not considered;
s3, importing the acquired input price data of the purchaser and the historical purchase data of the purchaser in the similar merchant of the purchasing merchant into a primary accurate value calculation formula to calculate a primary accurate value of the purchase;
in this embodiment, the primary accurate value in S3 further includes the following specific steps:
s31, acquiring input price data of the current purchaser, and simultaneously acquiring historical purchase data of similar merchants of the current purchaser in the purchase merchants, which are stored in the cloud platform;
s32, importing historical purchase data of the purchaser in similar merchants of the purchasing merchant into a first-level average value calculation formula to calculate a first-level average value, wherein the calculation formula of the first-level average value of the S-th similar merchant is as follows:wherein->The first purchase amount data of the s-th similar merchant is provided, and L is the number of times the purchaser purchases at the s-th similar merchant;
s33, substituting the calculated primary average value and the overall gap of the similar merchants into a primary accurate value calculation formula to calculate a primary accurate value, wherein the primary accurate value calculation formula is as follows:wherein T is the input price data of the current buyer, S is the number of similar merchants, < ->Is the overall gap for the s-th similar merchant;
s4, importing the acquired input price data of the purchaser and the historical purchase data of the purchaser in the purchasing merchant into a secondary accurate value calculation formula to calculate a secondary accurate value of the purchase;
in this embodiment, the specific content of S4 includes the following specific steps:
s41, acquiring input price data of the current purchaser and historical purchasing data of the current purchaser in a purchasing merchant;
s42, importing the acquired input price data of the current purchaser and the historical purchase data of the current purchaser in the purchasing merchant into a secondary accurate value calculation formula to calculate a secondary accurate value of the current purchase, wherein the secondary accurate value calculation formula is as follows:wherein->Average value of historical purchase data of the purchaser in the purchasing merchant is obtained;
s5, importing the obtained primary accurate value and the obtained secondary accurate value into a total accurate value calculation formula to calculate the total accurate value purchased at the time, comparing the calculated total accurate value with a set accurate threshold value, if the obtained total accurate value is greater than or equal to the set accurate threshold value, carrying out normal payment, and if the obtained total accurate value is smaller than the set accurate threshold value, prompting to check the input price.
In this embodiment, the specific content of S5 includes the following specific steps:
s51, importing the obtained primary accurate value and the obtained secondary accurate value into a total accurate value calculation formula to calculate the total accurate value purchased at the time, wherein the total accurate value calculation formula is as follows:wherein->For the primary accurate value duty cycle factor, +.>The second-level accurate value is a duty ratio coefficient;
s52, comparing the calculated total accurate value with a set accurate threshold value, if the obtained total accurate value is greater than or equal to the set accurate threshold value, carrying out normal payment, and if the obtained total accurate value is smaller than the set accurate threshold value, prompting to check the input price;
here, it is to be noted that, here、/>And the calculation mode of the accurate threshold value is as follows: extracting the historical data of the data scene with input errors, performing calculation of total accurate value in an import formula, and importing the calculated data into fitting software to obtain the optimal +_ according with the judgment accuracy>、/>And the value of the accurate threshold value;
the method comprises the steps of extracting historical commodity sales data of a merchant and historical purchase level data of a purchaser in the commodity sales process, simultaneously acquiring the purchase merchant and input price data of the purchaser, storing the historical commodity sales data of the merchant in the local area and the historical purchase merchant data of the purchaser in a cloud platform, importing the historical commodity sales data of the merchant in the local area and the historical purchase merchant data of the purchaser into a similar merchant acquisition strategy, acquiring similar merchants of a plurality of purchase merchants, acquiring the purchase data of the purchaser in the similar merchants of the purchaser, importing the acquired input price data of the purchaser and the historical purchase data of the purchaser in a primary accurate value calculation formula, calculating the primary accurate value of the purchase in the primary accurate value calculation formula, importing the acquired input price data of the purchaser and the current purchase data of the purchaser in the secondary accurate value calculation formula, importing the acquired primary accurate value and the secondary accurate value into a total accurate value calculation formula, comparing the calculated total accurate value with a set accurate threshold, if the obtained total accurate value is greater than or equal to the set threshold, checking the obtained total accurate value and carrying out the verification of the obtained total accurate value and the obtained value of the purchaser in the secondary accurate value calculation formula, and carrying out the verification of the average value and the average value of the purchase price is greater than the normal value.
Example 2
As shown in fig. 2, the business-finance integrated management system based on the commodity sales based on cloud computing is implemented based on the business-finance integrated management method based on the commodity sales based on cloud computing, and comprises a data storage module, a similar merchant screening module, a primary accurate value calculation module, a secondary accurate value calculation module, a total accurate value calculation module, a data comparison module and a control module, wherein the data storage module is used for extracting merchant historical commodity sales data and purchaser historical purchase level data in the commodity sales process, acquiring the purchase merchant and input price data of the purchaser at the same time, and storing the merchant historical commodity sales data and the purchase merchant historical data of the purchaser at the same time in a cloud platform, and the similar merchant screening module is used for guiding the local merchant historical commodity sales data and the purchase merchant historical data of the purchaser stored in the cloud platform into a similar merchant acquisition strategy to acquire similar merchants of a plurality of purchase merchants, and acquiring the purchase data of the purchaser at the same time of the purchase merchant.
In this embodiment, the primary accurate value calculation module is configured to import the acquired input price data of the current buyer and the historical purchase data of the similar merchant of the current buyer in the purchase merchant into the primary accurate value calculation formula to calculate the primary accurate value of the current purchase, the secondary accurate value calculation module is configured to import the acquired input price data of the current buyer and the historical purchase data of the current buyer in the secondary accurate value calculation formula to calculate the secondary accurate value of the current purchase, the total accurate value calculation module is configured to import the acquired primary accurate value and the secondary accurate value into the total accurate value calculation formula to calculate the total accurate value of the current purchase, the data comparison module is configured to compare the calculated total accurate value with a set accurate threshold, if the obtained total accurate value is greater than or equal to the set accurate threshold, normal payment is performed, and if the obtained total accurate value is less than the set accurate threshold, the control module is configured to control the operations of the data storage module, the similar merchant screening module, the primary accurate value calculation module, the secondary accurate value calculation module, the total accurate value calculation module, and the data comparison module.
Example 3
The present embodiment provides an electronic device including: a processor and a memory, wherein the memory stores a computer program for the processor to call;
the processor executes the business and finance integrated management method based on the commodity sales of cloud computing by calling the computer program stored in the memory.
The electronic device can generate larger difference due to different configurations or performances, and can comprise one or more processors (Central Processing Units, CPU) and one or more memories, wherein at least one computer program is stored in the memories, and the computer program is loaded and executed by the processors to realize the business and finance integrated management method based on commodity sales of cloud computing, which is provided by the embodiment of the method. The electronic device can also include other components for implementing the functions of the device, for example, the electronic device can also have wired or wireless network interfaces, input-output interfaces, and the like, for inputting and outputting data. The present embodiment is not described herein.
Example 4
The present embodiment proposes a computer-readable storage medium having stored thereon an erasable computer program;
when the computer program runs on the computer equipment, the computer equipment is caused to execute the business and finance integrated management method for commodity sales based on cloud computing.
For example, the computer readable storage medium can be Read-Only Memory (ROM), random access Memory (Random Access Memory, RAM), compact disk Read-Only Memory (Compact Disc Read-Only Memory, CD-ROM), magnetic tape, floppy disk, optical data storage device, etc.
It should be understood that, in various embodiments of the present application, the sequence numbers of the foregoing processes do not mean the order of execution, and the order of execution of the processes should be determined by the functions and internal logic thereof, and should not constitute any limitation on the implementation process of the embodiments of the present application.
It should be understood that determining B from a does not mean determining B from a alone, but can also determine B from a and/or other information.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions in accordance with embodiments of the present invention are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in or transmitted from one computer-readable storage medium to another, for example, by way of wired or/and wireless networks from one website site, computer, server, or data center to another. Computer readable storage media can be any available media that can be accessed by a computer or data storage devices, such as servers, data centers, etc. that contain one or more collections of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the partitioning of units is merely one way of partitioning, and there may be additional ways of partitioning in actual implementation, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (5)
1. The business and finance integrated management method for commodity sales based on cloud computing is characterized by comprising the following specific steps of:
s1, extracting historical commodity sales data of a merchant and historical purchase level data of a purchaser in the commodity sales process, simultaneously acquiring purchase merchants and input price data of the purchaser, and storing the purchase merchant and the input price data in a cloud platform;
s2, importing historical commodity sales data of the local merchant and historical data of the purchasing merchant of the current buyer stored in the cloud platform into a similar merchant acquisition strategy to acquire similar merchants of a plurality of purchasing merchants, and acquiring purchase data of the purchasing merchant of the current buyer;
s3, importing the acquired input price data of the purchaser and the historical purchase data of the purchaser in the similar merchant of the purchasing merchant into a primary accurate value calculation formula to calculate a primary accurate value of the purchase;
s4, importing the acquired input price data of the purchaser and the historical purchase data of the purchaser in the purchasing merchant into a secondary accurate value calculation formula to calculate a secondary accurate value of the purchase;
s5, importing the obtained primary accurate value and the obtained secondary accurate value into a total accurate value calculation formula to calculate the total accurate value purchased at the time, comparing the calculated total accurate value with a set accurate threshold value, if the obtained total accurate value is greater than or equal to the set accurate threshold value, carrying out normal payment, and if the obtained total accurate value is less than the set accurate threshold value, prompting to check the input price; the similar merchant acquisition strategy in S2 comprises the following specific steps:
s21, acquiring historical commodity sales data of merchants in the local area and historical data of purchasing merchants of the current purchaser, which are stored in a cloud platform, and respectively extracting historical periodic sales amount data and category data of the sales commodities;
s22, acquiring historical periodic sales amount data of the merchant in the area and historical periodic sales amount data of the purchasing merchant, substituting the historical periodic sales amount data of the merchant in the area and the historical periodic sales amount data of the purchasing merchant into an amount difference calculation formula, wherein the amount difference calculation formula is as follows:where n is the number of cycles,sales amount data for the ith history period of the merchant in the area,/for the present area>Sales amount data for the ith history period of the purchasing merchant;
s23, acquiring historical periodic sales commodity kind data of other merchants in the area and historical periodic sales commodity kind data of purchasing merchants, substituting the historical periodic sales commodity kind data of the other merchants in the area and the historical periodic sales commodity kind data of the purchasing merchants into a commodity kind difference calculation formula to calculate commodity kind differences, wherein the commodity kind difference calculation formula is as follows:wherein m is the total number of commodity categories of other merchants, < ->Sales of the jth item for the ith period of other merchants in the area, +.>Sales of the jth item for the ith period of the purchasing merchant;
s24, substituting the sum difference and the commodity type difference obtained by calculation of other merchants and purchasing merchants in the same area into an integral difference calculation formula to calculate the integral difference, wherein the integral difference calculation formula is as follows:wherein->Is the difference duty ratio coefficient of commodity category, +.>Is the sum difference duty ratio coefficient, wherein +.>The method comprises the steps of carrying out a first treatment on the surface of the The similar merchant acquisition strategy in S2 further includes the following specific contents:
s25, comparing the calculated overall gap with a set overall gap threshold value to obtain local area merchants corresponding to the overall gap smaller than or equal to the set overall gap threshold value, setting the local area merchants as similar merchants of the purchasing merchants, and acquiring the purchasing data of the current purchaser in the similar merchants of the purchasing merchants from a cloud space; the primary accurate value in the step S3 further comprises the following specific steps:
s31, acquiring input price data of the current purchaser, and simultaneously acquiring historical purchase data of similar merchants of the current purchaser in the purchase merchants, which are stored in the cloud platform;
s32, importing historical purchase data of the purchaser in similar merchants of the purchasing merchant into a first-level average value calculation formula to calculate a first-level average value, wherein the calculation formula of the first-level average value of the S-th similar merchant is as follows:wherein->The first purchase amount data of the s-th similar merchant is provided, and L is the number of times the purchaser purchases at the s-th similar merchant;
s33, substituting the calculated primary average value and the overall gap of the similar merchants into a primary accurate value calculation formula to calculate a primary accurate value, wherein the primary accurate value calculation formula is as follows:wherein T is the input price data of the current buyer, S is the number of similar merchants, < ->Is the overall gap for the s-th similar merchant; the specific content of the S4 comprises the following specific steps:
s41, acquiring input price data of the current purchaser and historical purchasing data of the current purchaser in a purchasing merchant;
s42, importing the acquired input price data of the current purchaser and the historical purchase data of the current purchaser in the purchasing merchant into a secondary accurate value calculation formula to calculate a secondary accurate value of the current purchase, wherein the secondary accurate value calculation formula is as follows:wherein->Average value of historical purchase data of the purchaser in the purchasing merchant is obtained; the specific content of the S5 comprises the following specific steps:
s51, importing the obtained primary accurate value and the obtained secondary accurate value into a total accurate value calculation formula to calculate the total accurate value purchased at the time, wherein the total accurate value calculation formula is as follows:wherein->For the primary accurate value duty cycle factor, +.>The second-level accurate value is a duty ratio coefficient;
s52, comparing the calculated total accurate value with a set accurate threshold value, if the obtained total accurate value is larger than or equal to the set accurate threshold value, carrying out normal payment, and if the obtained total accurate value is smaller than the set accurate threshold value, prompting to check the input price.
2. The business finance integrated management system based on the commodity sales of cloud computing is realized based on the business finance integrated management method based on the commodity sales of cloud computing as claimed in claim 1, and is characterized by comprising a data storage module, a similar merchant screening module, a primary accurate value calculation module, a secondary accurate value calculation module, a total accurate value calculation module, a data comparison module and a control module, wherein the data storage module is used for extracting merchant historical commodity sales data and purchaser historical purchase level data in the commodity sales process, simultaneously acquiring purchase merchant and input price data of the purchaser, storing the purchase merchant and input price data in a cloud platform, and the similar merchant screening module is used for importing local merchant historical commodity sales data stored in the cloud platform and purchase merchant historical data of the purchaser into a similar merchant acquisition strategy to acquire similar merchants of a plurality of purchase merchants and acquire purchase data of the purchaser in the same time.
3. The business financial integrated management system based on cloud computing as recited in claim 2, wherein the primary accuracy value calculation module is configured to import the obtained input price data of the current buyer and the historical purchase data of the similar business of the current buyer in the purchase business into the primary accuracy value calculation formula to calculate the primary accuracy value of the current purchase, the secondary accuracy value calculation module is configured to import the obtained input price data of the current buyer and the historical purchase data of the current buyer in the secondary accuracy value calculation formula to calculate the secondary accuracy value of the current purchase, the total accuracy value calculation module is configured to import the obtained primary accuracy value and the secondary accuracy value into the total accuracy value calculation formula to calculate the total accuracy value of the current purchase, the data comparison module is configured to compare the obtained total accuracy value obtained by calculation with a set accuracy threshold, if the obtained total accuracy value is greater than or equal to the set accuracy threshold, perform normal payment, and if the obtained total accuracy value is less than the set accuracy threshold, prompt to check the input price, and the control module is configured to control the data storage module, the similar screening module, the secondary accuracy value calculation module, and the total accuracy module.
4. A human-machine interaction device, comprising: a processor and a memory, wherein the memory stores a computer program for the processor to call;
the method for integrally managing business and finance of commodity sales based on cloud computing according to claim 1 is characterized in that the processor executes the business and finance integrally managing method of commodity sales based on cloud computing by calling a computer program stored in the memory.
5. A computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the business financial integrated management method for commodity sales based on cloud computing of claim 1.
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Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS63308669A (en) * | 1987-06-10 | 1988-12-16 | Toshiba Corp | Transaction processing system |
| KR20010085025A (en) * | 2001-07-20 | 2001-09-07 | 강중구 | One-stop internet moving mall |
| US8571985B1 (en) * | 2012-06-28 | 2013-10-29 | Bank Of America Corporation | Reconciling a merchant of record in a mobile wallet feature |
| KR20130139436A (en) * | 2012-06-01 | 2013-12-23 | 박미선 | Internet shopping mall system |
| CN111340572A (en) * | 2019-12-23 | 2020-06-26 | 重庆港澳大家软件产业有限公司 | Online commodity price evaluation system and method based on big data |
| CN111539765A (en) * | 2020-04-20 | 2020-08-14 | 广州探途网络技术有限公司 | Commodity price data processing method, device and equipment |
| CN112001777A (en) * | 2020-08-24 | 2020-11-27 | 知小二(广州)科技有限公司 | E-commerce platform data analysis system based on cloud computing |
| CN114255023A (en) * | 2021-12-16 | 2022-03-29 | 北京云迹科技股份有限公司 | Account checking system and account checking method |
| CN115222497A (en) * | 2022-07-13 | 2022-10-21 | 上海聚货通电子商务有限公司 | Financial data verification and cancellation processing method and system |
| CN116012000A (en) * | 2023-01-03 | 2023-04-25 | 上海通联金融服务有限公司 | Treatment method for preventing repeated replacement buckling based on merchant receipt single-stream |
| CN116883084A (en) * | 2023-09-08 | 2023-10-13 | 青岛巨商汇网络科技有限公司 | Sales evaluation-based data intelligent monitoring and early warning method and system |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150206087A1 (en) * | 2014-01-17 | 2015-07-23 | VSK Ventures, LLC | Synchronous Location-Based Matching of Merchant Offers with High Propensity Consumers |
-
2023
- 2023-12-19 CN CN202311743260.3A patent/CN117422576B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS63308669A (en) * | 1987-06-10 | 1988-12-16 | Toshiba Corp | Transaction processing system |
| KR20010085025A (en) * | 2001-07-20 | 2001-09-07 | 강중구 | One-stop internet moving mall |
| KR20130139436A (en) * | 2012-06-01 | 2013-12-23 | 박미선 | Internet shopping mall system |
| US8571985B1 (en) * | 2012-06-28 | 2013-10-29 | Bank Of America Corporation | Reconciling a merchant of record in a mobile wallet feature |
| CN111340572A (en) * | 2019-12-23 | 2020-06-26 | 重庆港澳大家软件产业有限公司 | Online commodity price evaluation system and method based on big data |
| CN111539765A (en) * | 2020-04-20 | 2020-08-14 | 广州探途网络技术有限公司 | Commodity price data processing method, device and equipment |
| CN112001777A (en) * | 2020-08-24 | 2020-11-27 | 知小二(广州)科技有限公司 | E-commerce platform data analysis system based on cloud computing |
| CN114255023A (en) * | 2021-12-16 | 2022-03-29 | 北京云迹科技股份有限公司 | Account checking system and account checking method |
| CN115222497A (en) * | 2022-07-13 | 2022-10-21 | 上海聚货通电子商务有限公司 | Financial data verification and cancellation processing method and system |
| CN116012000A (en) * | 2023-01-03 | 2023-04-25 | 上海通联金融服务有限公司 | Treatment method for preventing repeated replacement buckling based on merchant receipt single-stream |
| CN116883084A (en) * | 2023-09-08 | 2023-10-13 | 青岛巨商汇网络科技有限公司 | Sales evaluation-based data intelligent monitoring and early warning method and system |
Non-Patent Citations (1)
| Title |
|---|
| 特殊销售业务的会计处理;李必胜;;农村财务会计;20100806(第08期);全文 * |
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