Financial management system for Internet sales

Abstract

The invention relates to a financial management system for Internet sales. The financial management system comprises a content analysis device, a data capture device, a target extraction device and a demand prediction mechanism. The financial management system for Internet sales is intelligent in design and wide in application.

Description

Technical Field

[0001] The present invention relates to the field of financial management, and particularly to a financial management system for Internet sales. Background Art

[0002] Financial management, simply speaking, is a series of activities for planning, organizing, coordinating, and controlling the financial resources of individuals, enterprises, or institutions. It covers a wide range of fields, including fund raising, investment decision-making, risk management, and financial statement analysis, etc. To do a good job in financial management, first of all, it is necessary to clarify one's own financial goals. Whether it is a short-term savings goal, such as buying a car, or a long-term pension plan, clear goal setting is the first step towards success. Secondly, reasonable budget planning is crucial. This means having accurate records and analysis of income and expenses, and finding areas where savings and optimization can be made. For example, by formulating a monthly budget, controlling unnecessary consumption, and increasing the savings ratio.

[0003] CN119337879A discloses a method and device for identifying new entities in Internet finance based on big data, including: splitting the obtained text comment data to obtain a set of text split data; performing semantic processing on each text split data in the set of text split data to obtain a set of global text semantic vectors; inputting each global text semantic vector in the set of global text semantic vectors into a module based on a bidirectional entity boundary recognition neural network structure for expression analysis to obtain a set of text distributed expression tensors; classifying the entity boundaries of each text distribution in the set of text distributed expression tensors to obtain a set of head and tail entity boundaries of the text; and performing head and tail merging processing of the entities on each head and tail entity boundary in the set of head and tail entity boundaries of the text through a greedy matching algorithm to obtain the target entity corresponding to the text comment data, and the target entity in the text comment data can be accurately extracted.

[0004] CN119295196A discloses an analysis system for the impact of Internet finance on the traditional business of CB Bank, including a data acquisition module, a data processing module, an impact analysis module, a visualization display module, a countermeasure module, and a trend prediction module. The data acquisition module is used to collect Internet finance platform, traditional business of CB Bank, and macroeconomic data. The data processing module cleans, organizes, and stores the collected data. The impact analysis module studies the impact of Internet finance on the traditional business of CB Bank by comparing and analyzing Internet finance business and traditional banking business. This technology takes CB Bank as an example to empirically analyze the impact of Internet finance on its deposit, loan, and payment businesses from a micro perspective; comprehensively provides comprehensive theoretical and practical support through literature, data, comparison, and case analysis methods; and also proposes specific countermeasures to provide reference for CB Bank and other commercial banks to cope with challenges.

[0005] CN118195608A discloses an online payment system for Internet finance, belonging to the technical field of online payment systems. It includes a module for collecting habitual location data, which collects QR code data for various scenarios, lighting, and angles, preprocesses the habitual location data by cropping and adjusting the contrast, establishes a habitual location model for training using the habitual location dataset, uses transfer learning for the habitual location model, and adjusts hyperparameters for optimization to improve the model performance. When performing identification and scanning through a device, the identification area of the device needs to actively search for a scannable position, which can reduce the cumbersome situation of manual back-and-forth attempts, save time, enable rapid capture and search, avoid the time-consuming and laborious situation where consumers need to move repeatedly to capture, and at the same time avoid the situation where there is a dust cover or cracks and damage, which requires repeated searching, thus improving the efficiency. Summary of the Invention

[0006] To overcome the technical problems in the prior art, the present invention proposes a financial management system for Internet sales. By performing various training operations on a single-layer neural network to obtain the single-layer neural network after each training operation and output it as a financial prediction model, the number of times of each training operation performed on the single-layer neural network is proportional to the number of registered users of the target online supermarket, so as to design financial prediction models with different structures for different online supermarkets. Obtain the number of types of side dishes sold by the target online supermarket, the geographical area of the service area of the target online supermarket, the number of registered users of the target online supermarket, and the operating duration of the target online supermarket on the same day, and obtain multiple side dish association data corresponding to the target online supermarket on multiple past days. The single copy of side dish association data corresponding to each day of the target online supermarket is the sales quantity of each type of side dish sold by the target online supermarket on that day, so as to provide reliable basic data for the intelligent prediction of the sales quantity of each type of side dish sold by the target online supermarket on the same day by the financial prediction model. Particularly importantly, a side dish execution mechanism is also introduced to set the pre-allocation quantity of various side dishes of the target online supermarket on the same day based on the sales quantity of each type of side dish sold by the target online supermarket on the same day. For each type of side dish, the pre-allocation quantity is a multiple of the sales quantity, and the value of the multiple is greater than 1, so as to avoid side dish waste while meeting the vegetable purchasing needs of users of different online supermarkets.

[0007] According to the present invention, there is provided a financial management system for Internet sales, the system comprising: A content analysis device for obtaining the number of types of side dishes sold by the target online supermarket, the geographical area of the service area of the target online supermarket, the number of registered users of the target online supermarket, and the operating duration of the target online supermarket on the same day; A data capture device for obtaining multiple pieces of side dish association data corresponding to multiple past days of a target online supermarket, where the single piece of side dish association data corresponding to each day of the target online supermarket is the respective sales quantities of various side dishes sold by the target online supermarket on that day; A target extraction device for performing various training operations on a single-layer neural network to obtain the single-layer neural network after completing each training operation and output it as a financial prediction model, and the number of times of each training operation performed on the single-layer neural network is proportional to the number of registered users of the target online supermarket; A demand prediction mechanism, connected to the content analysis device, the data capture device, and the target extraction device respectively, for inputting the multiple pieces of side dish association data corresponding to multiple past days of the target online supermarket, the number of types of side dishes sold by the target online supermarket, the geographical area of the service area of the target online supermarket, the number of registered users of the target online supermarket, and the operating duration of the target online supermarket on the current day into the financial prediction model at the same time, and executing the financial prediction model to obtain the respective sales quantities of various side dishes sold by the target online supermarket on the current day output by the financial prediction model; A side dish execution mechanism, connected to the demand prediction mechanism, for setting the pre-portioning quantities of various side dishes of the target online supermarket on the current day based on the respective sales quantities of various side dishes sold by the target online supermarket on the current day; Wherein, setting the pre-portioning quantities of various side dishes of the target online supermarket on the current day based on the respective sales quantities of various side dishes sold by the target online supermarket on the current day includes: for each type of side dish, the pre-portioning quantity is a multiple of the sales quantity, and the value of the multiple is greater than 1; Wherein, obtaining the multiple pieces of side dish association data corresponding to multiple past days of the target online supermarket, and the single piece of side dish association data corresponding to each day of the target online supermarket being the respective sales quantities of various side dishes sold by the target online supermarket on that day includes: the number of days in the past multiple days of the target online supermarket is positively correlated with the number of types of side dishes sold by the target online supermarket.

[0008] Thus, the present invention has at least the following three important inventive points: Important inventive point A: Performing various training operations on a single-layer neural network to obtain the single-layer neural network after completing each training operation and output it as a financial prediction model, and the number of times of each training operation performed on the single-layer neural network is proportional to the number of registered users of the target online supermarket, so as to design financial prediction models with different structures for different online supermarkets; Important Invention Point B: Obtain the number of types of side dishes sold by the target online supermarket, the geographical area of the service region of the target online supermarket, the number of registered users of the target online supermarket, and the operating duration of the target online supermarket on the current day, and obtain multiple side dish association data corresponding to multiple past days of the target online supermarket. The single piece of side dish association data corresponding to each day of the target online supermarket is the sales quantity of each type of side dish sold by the target online supermarket on that day, thereby providing reliable basic data for the intelligent prediction of the sales quantity of each type of side dish sold by the target online supermarket on the current day by the financial prediction model; Important Invention Point C: Introduce a side dish execution mechanism to set the pre - preparation quantity of various side dishes of the target online supermarket on the current day based on the sales quantity of each type of side dish sold by the target online supermarket on the current day. For each type of side dish, the pre - preparation quantity is a multiple of the sales quantity, and the value of the multiple is greater than 1, thereby avoiding side dish waste while meeting the vegetable purchasing needs of users of different online supermarkets.

[0009] The financial management system for Internet sales of the present invention is intelligent in design and widely applicable. Since it can use a specifically designed artificial intelligence model to perform intelligent prediction of the sales quantity of each type of side dish sold by the target online supermarket on the current day, and set the pre - preparation quantity of various side dishes of the target online supermarket on the current day based on the sales quantity of each type of side dish sold by the target online supermarket on the current day, it can avoid side dish waste while meeting the vegetable purchasing needs of users of different online supermarkets. Brief Description of the Drawings

[0010] The following will describe the implementation embodiments of the present invention in conjunction with the drawings, where:

[0011] Figure 1 It is a block diagram of the internal structure of the financial management system for Internet sales shown according to Embodiment 1 of the present invention.

[0012] Figure 2 It is a block diagram of the internal structure of the financial management system for Internet sales shown according to Embodiment 2 of the present invention.

[0013] Figure 3 It is a block diagram of the internal structure of the financial management system for Internet sales shown according to Embodiment 3 of the present invention. Detailed Embodiment

[0014] With the popularization and promotion of the model of selling dishes via the Internet, how to save the labor cost of dish preparation while reducing the inventory of prepared dishes is the key to enhancing the competitiveness of the model of selling dishes via the Internet. However, since it is impossible to accurately predict the respective sales quantities of each portion of various prepared dishes sold by each online supermarket on the same day, it has become empty talk to set the pre-prepared quantities of various prepared dishes for each online supermarket on the same day based on the respective sales quantities of each portion of various prepared dishes sold by each online supermarket on the same day.

[0015] The embodiments of the financial management system for Internet sales according to the present invention will be described in detail below with reference to the accompanying drawings.

[0016] Figure 1 FIG. is a block diagram of the internal structure of the financial management system for Internet sales shown in Embodiment 1 of the present invention. The system includes: A content analysis device, configured to obtain the number of types of prepared dishes sold by a target online supermarket, the geographical area of the service area of the target online supermarket, the number of registered users of the target online supermarket, and the operating duration of the target online supermarket on the same day; Exemplarily, the content analysis device, configured to obtain the number of types of prepared dishes sold by a target online supermarket, the geographical area of the service area of the target online supermarket, the number of registered users of the target online supermarket, and the operating duration of the target online supermarket on the same day, includes: The content analysis device is built-in with a plurality of content acquisition components, configured to respectively acquire the number of types of prepared dishes sold by a target online supermarket, the geographical area of the service area of the target online supermarket, the number of registered users of the target online supermarket, and the operating duration of the target online supermarket on the same day; A data capture device, configured to obtain multiple portions of prepared dish association data corresponding to multiple past days of a target online supermarket. The single portion of prepared dish association data corresponding to each day of the target online supermarket is the respective sales quantity of each portion of various prepared dishes sold by the target online supermarket on that day; A target extraction device, configured to perform each training operation on a single-layer neural network to obtain the single-layer neural network after each training operation and output it as a financial prediction model. The number of times of each training operation performed on the single-layer neural network is proportional to the number of registered users of the target online supermarket; A demand prediction mechanism, respectively connected to the content analysis device, the data capture device, and the target extraction device, configured to input the multiple portions of prepared dish association data corresponding to multiple past days of a target online supermarket, the number of types of prepared dishes sold by the target online supermarket, the geographical area of the service area of the target online supermarket, the number of registered users of the target online supermarket, and the operating duration of the target online supermarket on the same day into the financial prediction model at the same time, and execute the financial prediction model to obtain the respective sales quantities of each portion of various prepared dishes sold by the target online supermarket on the same day output by the financial prediction model; The side dish execution mechanism, connected to the demand forecasting mechanism, is used to set the pre - allocation quantity of various side dishes in the target online supermarket on the current day based on the respective sales quantities of each portion of various side dishes sold in the target online supermarket on the current day; Among them, setting the pre - allocation quantity of various side dishes in the target online supermarket on the current day based on the respective sales quantities of each portion of various side dishes sold in the target online supermarket on the current day includes: for each type of side dish, the pre - allocation quantity is a multiple of the sales quantity, and the value of the multiple is greater than 1; Among them, obtaining multiple portions of side dish association data corresponding to multiple past days of the target online supermarket, and the single - portion side dish association data corresponding to each day of the target online supermarket being the respective sales quantities of each portion of various side dishes sold in the target online supermarket on that day includes: the number of past days of the target online supermarket is positively correlated with the number of types of side dishes sold in the target online supermarket; Among them, the number of past days of the target online supermarket being positively correlated with the number of types of side dishes sold in the target online supermarket includes: using an information mapping function to represent the positive correlation information mapping relationship between the number of past days of the target online supermarket and the number of types of side dishes sold in the target online supermarket; Among them, using an information mapping function to represent the positive correlation information mapping relationship between the number of past days of the target online supermarket and the number of types of side dishes sold in the target online supermarket includes: in the information mapping function, the number of past days of the target online supermarket is the input parameter of the information mapping function, and the number of types of side dishes sold in the target online supermarket is the output parameter of the information mapping function; Among them, for each type of side dish, the pre - allocation quantity is a multiple of the sales quantity, and the value of the multiple being greater than 1 includes: the value of the multiple is between 1.1 and 1.2; Among them, inputting the multiple portions of side dish association data corresponding to multiple past days of the target online supermarket, the number of types of side dishes sold in the target online supermarket, the geographical area of the service area of the target online supermarket, the number of registered users of the target online supermarket, and the operation duration of the target online supermarket on the current day into the financial forecasting model at the same time, and executing the financial forecasting model to obtain the respective sales quantities of each portion of various side dishes sold in the target online supermarket on the current day output by the financial forecasting model includes: performing numerical normalization processing on the multiple portions of side dish association data corresponding to multiple past days of the target online supermarket, the number of types of side dishes sold in the target online supermarket, the geographical area of the service area of the target online supermarket, the number of registered users of the target online supermarket, and the operation duration of the target online supermarket on the current day respectively and then synchronously inputting them into the financial forecasting model.

[0017] Figure 2 It is the internal structure block diagram of the financial management system for online sales shown in Embodiment 2 of the present invention.

[0018] Compared withFigure 1 , Figure 2 The financial management system for Internet sales in The real-time display component is used to real-time display the temporary data of the steps of simultaneously inputting the multiple side dish association data corresponding to multiple past days of the target online supermarket, the number of side dish types sold by the target online supermarket, the geographical area of the service area of the target online supermarket, the number of registered users of the target online supermarket, and the operating duration of the target online supermarket on the same day into the financial prediction model and executing the financial prediction model to obtain the respective sales quantities corresponding to various side dishes sold by the target online supermarket on the same day output by the financial prediction model; Among them, the real-time display component is used to real-time display the temporary data of the steps of simultaneously inputting the multiple side dish association data corresponding to multiple past days of the target online supermarket, the number of side dish types sold by the target online supermarket, the geographical area of the service area of the target online supermarket, the number of registered users of the target online supermarket, and the operating duration of the target online supermarket on the same day into the financial prediction model and executing the financial prediction model to obtain the respective sales quantities corresponding to various side dishes sold by the target online supermarket on the same day output by the financial prediction model, including: the real-time display component is an LED display array composed of multiple LED display units; Among them, the real-time display component is used to real-time display the temporary data of the steps of simultaneously inputting the multiple side dish association data corresponding to multiple past days of the target online supermarket, the number of side dish types sold by the target online supermarket, the geographical area of the service area of the target online supermarket, the number of registered users of the target online supermarket, and the operating duration of the target online supermarket on the same day into the financial prediction model and executing the financial prediction model to obtain the respective sales quantities corresponding to various side dishes sold by the target online supermarket on the same day output by the financial prediction model, including: the real-time display component is an LCD display array composed of multiple LCD display units.

[0019] Figure 3 It is the internal structure block diagram of the financial management system for Internet sales shown in Embodiment 3 of the present invention.

[0020] Compared with Figure 1 , Figure 3 The financial management system for Internet sales in A content processing component is used to input the associated data of multiple side dishes corresponding to multiple past days of a target online supermarket, the number of types of side dishes sold by the target online supermarket, the geographical area of the service region of the target online supermarket, the number of registered users of the target online supermarket, and the operating duration of the target online supermarket on the current day into the financial prediction model at the same time, and execute the financial prediction model to obtain the amount of computation consumed by the steps of the respective sales quantities corresponding to various side dishes sold by the target online supermarket on the current day output by the financial prediction model; Among them, the content processing component is used to input the associated data of multiple side dishes corresponding to multiple past days of a target online supermarket, the number of types of side dishes sold by the target online supermarket, the geographical area of the service region of the target online supermarket, the number of registered users of the target online supermarket, and the operating duration of the target online supermarket on the current day into the financial prediction model at the same time, and execute the financial prediction model to obtain the amount of computation consumed by the steps of the respective sales quantities corresponding to various side dishes sold by the target online supermarket on the current day output by the financial prediction model, including: the content processing component is a programmable logic device; Among them, the content processing component is used to input the associated data of multiple side dishes corresponding to multiple past days of a target online supermarket, the number of types of side dishes sold by the target online supermarket, the geographical area of the service region of the target online supermarket, the number of registered users of the target online supermarket, and the operating duration of the target online supermarket on the current day into the financial prediction model at the same time, and execute the financial prediction model to obtain the amount of computation consumed by the steps of the respective sales quantities corresponding to various side dishes sold by the target online supermarket on the current day output by the financial prediction model further includes: the programmable logic device is a field programmable gate array; And among them, the content processing component is used to input the associated data of multiple side dishes corresponding to multiple past days of a target online supermarket, the number of types of side dishes sold by the target online supermarket, the geographical area of the service region of the target online supermarket, the number of registered users of the target online supermarket, and the operating duration of the target online supermarket on the current day into the financial prediction model at the same time, and execute the financial prediction model to obtain the amount of computation consumed by the steps of the respective sales quantities corresponding to various side dishes sold by the target online supermarket on the current day output by the financial prediction model further includes: the programmable logic device has a built-in cache unit.

[0021] In addition, in the financial management system for Internet sales, multiple portions of side dish association data corresponding to the target online supermarket over multiple past days, the number of types of side dishes sold by the target online supermarket, the geographical area of the service region of the target online supermarket, the number of registered users of the target online supermarket, and the operation duration of the target online supermarket on the current day are simultaneously input into the financial prediction model, and the financial prediction model is executed to obtain the respective sales quantities corresponding to various side dishes sold by the target online supermarket on the current day. It further includes: the values after numerical normalization of the respective sales quantities corresponding to various side dishes sold by the target online supermarket on the current day output by the financial prediction model.

[0022] Those skilled in the art should understand that various modifications and changes can be made without departing from the scope and spirit of the present invention. Therefore, it should be understood that the above embodiments are for illustrative purposes only and are not restrictive. Since the scope of the present invention is defined by the claims rather than the foregoing description, any changes and modifications that fall within the scope and boundaries of the claims or the equivalents of these scope and boundaries are subject to the claims.

Claims

1. A financial management system for Internet sales, characterized in that: The system comprises: a content analysis device for obtaining the number of side dishes sold by the target online supermarket, the geographical area of ​​the target online supermarket's service area, the number of registered users of the target online supermarket, and the operating hours of the target online supermarket on the same day; The data capture device is used to obtain the associated data of multiple side dishes corresponding to the target online supermarket in the past multiple days, and the associated data of a single side dish corresponding to each day of the target online supermarket is the sales quantity of each side dish sold by the target online supermarket on that day, including: the number of days in the past multiple days of the target online supermarket is positively correlated with the number of side dish types sold by the target online supermarket; A target extraction device is used to perform training operations on the single-layer neural network to obtain the single-layer neural network after completing each training operation and output it as a financial prediction model, and the number of each training operation performed on the single-layer neural network is proportional to the number of registered users of the target network supermarket; The demand forecasting mechanism is connected to the content analysis device, the data capture device and the target extraction device respectively, and is used to input the associated data of a plurality of side dishes corresponding to the target online supermarket in the past days, the number of side dishes sold by the target online supermarket, the geographical area of ​​the service area of ​​the target online supermarket, the number of registered users of the target online supermarket and the operating hours of the target online supermarket on the day into the financial forecasting model at the same time, and execute the financial forecasting model to obtain the sales quantity of each side dish sold by the target online supermarket on the day output by the financial forecasting model; The side dish execution mechanism is connected to the demand forecasting mechanism, and is used to set the pre-allocated quantity of various side dishes of the target online supermarket on that day based on the sales quantities of each side dish sold by the target online supermarket on that day, including: for each side dish, the pre-allocated quantity is a multiple of the sales quantity, and the value of the multiple is greater than 1.

2. The financial management system for Internet sales as claimed in claim 1, characterized in that: The number of days in the past multiple days of the target online supermarket and the number of types of side dishes sold in the target online supermarket are positively correlated, including: using an information mapping function to represent the information mapping relationship of the positive correlation between the number of days in the past multiple days of the target online supermarket and the number of types of side dishes sold in the target online supermarket; The information mapping relationship of using the information mapping function to represent the positive correlation between the number of days in the past multiple days of the target online supermarket and the number of side dish types sold by the target online supermarket includes: in the information mapping function, the number of days in the past multiple days of the target online supermarket is the input parameter of the information mapping function, and the number of side dish types sold by the target online supermarket is the output parameter of the information mapping function; Wherein, for each side dish, the pre-allocated quantity is a multiple of the sales quantity, and the multiple is greater than 1, including: the multiple is between 1.1 and 1.2; Among them, the multiple side dish association data corresponding to the target online supermarket in the past few days, the number of side dish types sold by the target online supermarket, the geographical area of ​​the target online supermarket's service area, the number of registered users of the target online supermarket and the target online supermarket's operating hours on the day are simultaneously input into the financial prediction model, and the financial prediction model is executed to obtain the sales quantities of each corresponding to various side dishes sold by the target online supermarket on the day output by the financial prediction model, including: performing numerical normalization processing on the multiple side dish association data corresponding to the target online supermarket in the past few days, the number of side dish types sold by the target online supermarket, the geographical area of ​​the target online supermarket's service area, the number of registered users of the target online supermarket and the target online supermarket's operating hours on the day, and then synchronously inputting them into the financial prediction model.

3. The financial management system for Internet sales as claimed in claim 2, characterized in that: The computer system further comprises: The real-time display component is used to display in real time the associated data of multiple side dishes corresponding to the target online supermarket in the past multiple days, the number of side dishes sold by the target online supermarket, the geographical area of ​​the service area of ​​the target online supermarket, the number of registered users of the target online supermarket and the operating hours of the target online supermarket on the day, and input them into the financial prediction model at the same time, and execute the financial prediction model to obtain the temporary data of the step of outputting the financial prediction model of the sales quantity of each corresponding to each side dish sold by the target online supermarket on the day.

4. The financial management system for Internet sales as claimed in claim 3, characterized in that: A real-time display component is used to display in real time the associated data of multiple side dishes corresponding to the target online supermarket in the past multiple days, the number of side dishes sold by the target online supermarket, the geographical area of ​​the service area of ​​the target online supermarket, the number of registered users of the target online supermarket and the operating hours of the target online supermarket on the day, and input them into the financial prediction model at the same time, and execute the financial prediction model to obtain the temporary data of the sales quantity of each side dish corresponding to the sales quantity of each side dish sold by the target online supermarket on the day output by the financial prediction model. The step includes: the real-time display component is an LED display array composed of multiple LED display units.

5. The financial management system for Internet sales as claimed in claim 3, characterized in that: A real-time display component is used to display in real time the associated data of multiple side dishes corresponding to the target online supermarket in the past multiple days, the number of side dishes sold by the target online supermarket, the geographical area of ​​the service area of ​​the target online supermarket, the number of registered users of the target online supermarket and the operating hours of the target online supermarket on the day, and input them into the financial prediction model at the same time, and execute the financial prediction model to obtain the temporary data of the sales quantity of each side dish corresponding to the sales quantity of each side dish sold by the target online supermarket on the day output by the financial prediction model. The step includes: the real-time display component is an LCD display array composed of multiple LCD display units.

6. The financial management system for Internet sales as claimed in claim 2, characterized in that: The system further comprises: The content processing component is used to collect in real time the associated data of multiple side dishes corresponding to the target online supermarket in the past multiple days, the number of side dishes sold by the target online supermarket, the geographical area of ​​the service area of ​​the target online supermarket, the number of registered users of the target online supermarket and the operating hours of the target online supermarket on the day, and input them into the financial prediction model at the same time, and execute the financial prediction model to obtain the computing amount consumed in the step of outputting the financial prediction model of the sales quantity of each side dish corresponding to the sales of various side dishes sold by the target online supermarket on the day.

7. The financial management system for Internet sales as claimed in claim 6, characterized in that: The content processing component is used to collect in real time the data related to multiple side dishes corresponding to the target online supermarket in the past few days, the number of side dishes sold by the target online supermarket, the geographical area of ​​the service area of ​​the target online supermarket, the number of registered users of the target online supermarket and the operating hours of the target online supermarket on the day, and input them into the financial prediction model at the same time, and execute the financial prediction model to obtain the sales quantity of each side dish corresponding to the sales of each side dish sold by the target online supermarket on the day output by the financial prediction model. The amount of computing power consumed in the step includes: the content processing component is a programmable logic device.

8. The financial management system for Internet sales as claimed in claim 7, characterized in that: The content processing component is used to collect in real time the data related to multiple side dishes corresponding to the target online supermarket in the past few days, the number of side dishes sold by the target online supermarket, the geographical area of ​​the service area of ​​the target online supermarket, the number of registered users of the target online supermarket and the operating hours of the target online supermarket on the day, and input them into the financial prediction model at the same time, and execute the financial prediction model to obtain the sales quantity of each side dish corresponding to the sales of each side dish sold by the target online supermarket on the day output by the financial prediction model. The amount of computing power consumed in the step also includes: the programmable logic device is a field programmable gate array.

9. The financial management system for Internet sales as claimed in claim 8, characterized in that: The content processing component is used to collect in real time the data related to multiple side dishes corresponding to the target online supermarket in the past few days, the number of side dishes sold by the target online supermarket, the geographical area of ​​the service area of ​​the target online supermarket, the number of registered users of the target online supermarket and the operating hours of the target online supermarket on the day, and input them into the financial prediction model at the same time, and execute the financial prediction model to obtain the sales quantity of each side dish corresponding to the sales of each side dish sold by the target online supermarket on the day output by the financial prediction model. The amount of computing power consumed in the step also includes: the programmable logic device has a built-in cache unit.

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