System

Abstract

A system is provided.SOLUTION: A system comprising: a user terminal for inputting a business category, an accounting policy and an account item master of the company; a server means for receiving the business category, the accounting policy and the account item master inputted from the user terminal and storing them in a database of a generated AI; a user terminal for inputting a transaction content; a server means for receiving the transaction content inputted from the user terminal and automatically generating an accounting journal and outputting it to an Excel sheet; and a server means for automatically generating a balance sheet, a profit and loss statement and a cash flow statement from the Excel sheet.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The technology of the present disclosure relates to a system. [Background technology]

[0002] Patent document 1 discloses a persona chatbot control method performed by at least one processor, the method including the steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to a description of the chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] Sole proprietors and small and medium-sized enterprises (SMEs) need to efficiently handle a wide range of accounting tasks for filing blue tax returns and daily management accounting. However, these tasks typically require specialized knowledge and require a great deal of time and effort. Therefore, there is a need for systems that can reduce the burden of accounting tasks and improve efficiency. However, few existing systems can consistently automate everything from registering various settings and transaction details to generating accounting entries and even preparing financial statements. Therefore, a new system is needed to solve the above issues. [Means for solving the problem]

[0005] To solve the above-mentioned problems, the present invention provides the following means. First, a user terminal is provided for inputting the company's business type, accounting policy, and account item master data, and server means is provided for saving the input information in a generation AI database. Next, a user terminal is provided for inputting transaction details, and server means is provided for receiving the input transaction details, automatically generating accounting journal entries, and outputting them to an Excel spreadsheet. Furthermore, a system is constructed that includes server means for reading transaction journal information from the Excel spreadsheet and automatically generating balance sheets, income statements, and cash flow statements. This allows users to easily register various setting information and transaction details, and as a result, automatically obtain the necessary financial statements, thereby improving the efficiency of accounting work.

[0006] A "user terminal" is a device through which a user inputs information, and refers to electronic devices such as PCs, tablets, and smartphones.

[0007] "Server means" refers to a server device and associated software for processing, storing, and outputting input information.

[0008] "Generative AI" refers to artificial intelligence that automatically generates accounting entries based on information input by users.

[0009] A "database" refers to a structured collection of data that allows information to be efficiently stored, retrieved, and updated.

[0010] "Transaction details" refers to detailed information about accounting transactions such as sales, purchases, and expenditures.

[0011] An "accounting entry" is an accounting record created based on the details of a transaction, and refers to formatted data that includes account titles, amounts, dates, etc.

[0012] "Excel sheet" refers to a sheet created using electronic spreadsheet software, and in particular refers to the file format used by MICROSOFT (registered trademark) EXCEL (registered trademark).

[0013] A balance sheet is one of the financial statements that shows a company's financial status, and refers to a document that shows assets, liabilities, and capital as static figures at a specific point in time.

[0014] An income statement is a financial statement that shows a company's operating results over a certain period of time, and refers to a document that displays profits or losses as the difference between revenues and expenses.

[0015] A "cash flow statement" is a financial statement that records the inflow and outflow of cash over a certain period of time and shows the movement of a company's funds. [Brief explanation of the drawings]

[0016] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11]FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0017] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0018] First, the terms used in the following description will be explained.

[0019] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0020] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0021] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0022] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0023] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0024] [First embodiment]

[0025] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0026] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0027] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0028] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0029] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0030] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0031] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0032] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0033] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0034] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0035] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0036] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0037] This invention is a system for enabling sole proprietors and small and medium-sized enterprises to efficiently carry out accounting work. By using user terminals and server means, the system can perform an integrated process from registering the company's business type, accounting policy, and account item master data to inputting transaction details, generating accounting entries, and automatically generating financial statements.

[0038] First, the user terminal provides an input means for inputting the company's business type, accounting policy, and account item master. For example, the user inputs a business type such as "retail business," an accounting policy such as "accrual basis," and account items such as "cash (101)" and "sales (401)." The terminal also has a function for transmitting this information to the server.

[0039] The server receives the information on business type, accounting policy, and account item master data sent from the user terminal and stores it in the database of the generation AI. The generation AI prepares the basic data necessary to generate accounting entries based on this information.

[0040] Next, the user enters the transaction details into the user terminal. For example, if a sale of 1,000 yen occurs on December 1, 2023, the user enters the transaction details. This information is also sent to the server. The server uses generation AI to automatically generate accounting entries from the entered transaction details. The generated accounting entries are output to an Excel spreadsheet so that the user can check them. This Excel spreadsheet contains information such as the date, description, amount, and account code.

[0041] The server then reads the contents of the generated Excel spreadsheet and automatically generates balance sheets, income statements, and cash flow statements based on this information. These financial statements are then output to new Excel spreadsheets so that users can review them and use them for blue tax return filing and management accounting.

[0042] As a concrete example, suppose the user enters the following information:

[0043] Business type: Retail

[0044] Accounting policy: accrual basis

[0045] Account Master: Cash (101), Sales (401)

[0046] Next, the user enters the following transaction:

[0047] Date: December 1, 2023

[0048] Description: 1000 yen sales

[0049] Price: 1,000 yen

[0050] Account code: 401

[0051] The server generates accounting entries based on the transaction details and outputs them to an Excel spreadsheet. For example, the following entries are generated:

[0052] Date: December 1, 2023

[0053] Account: Sales

[0054] Debit amount: 1000 yen

[0055] Credit amount: 0 yen

[0056] From this journal entry information, the server then automatically generates a balance sheet, income statement, and cash flow statement. The generated financial statements are also output as Excel sheets. Users can use this information to efficiently file blue tax returns and perform management accounting.

[0057] By using this system, users can easily perform complex accounting tasks, saving time and effort.

[0058] The processing flow will be explained below.

[0059] Step 1:

[0060] The user inputs the company's business type, accounting policy, and account title master. For example, the user inputs "retail" as the business type, "accrual basis" as the accounting policy, and "cash (101)" and "sales (401)" as the account titles. In this way, the user provides the system with basic information about their company.

[0061] Step 2:

[0062] The user terminal transmits the input information on the business type, accounting policy, and account title master to the server, which then receives the necessary initial setting information from the user.

[0063] Step 3:

[0064] The server stores the received information on business type, accounting policy, and account master data in the database of the generation AI. In this case, the server appropriately structures the input information so that the AI ​​can operate based on it.

[0065] Step 4:

[0066] The user inputs the details of the transaction that occurred into the user terminal. For example, if there was a sale of 1,000 yen on December 1, 2023, the user would input the details of that transaction. In this way, the user provides specific transaction information to the system.

[0067] Step 5:

[0068] The user terminal transmits the entered transaction details to the server, which then receives the transaction information from the user.

[0069] Step 6:

[0070] The server passes the received transaction information to the generation AI, which automatically generates accounting entries, including the transaction date, description, amount, and related account code.

[0071] Step 7:

[0072] The server outputs the generated accounting information to an Excel spreadsheet, at which point the user can check the contents of the journal entries.

[0073] Step 8:

[0074] The server reads the transaction journal information from the generated Excel sheet, which gives the server the data to use in the next step.

[0075] Step 9:

[0076] The server automatically generates balance sheets, income statements, and cash flow statements based on the journal entry information it reads. Each financial statement is calculated and created based on standard accounting principles.

[0077] Step 10:

[0078] The server outputs the generated balance sheet, income statement, and cash flow statement to a new Excel spreadsheet, allowing the user to view and use these financial statements.

[0079] Step 11:

[0080] Users can download the output financial statements and use them for blue tax return filing and management accounting, allowing them to easily carry out the necessary accounting tasks.

[0081] This process allows users to effectively manage accounting information and quickly generate appropriate financial statements.

[0082] Example 1

[0083] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0084] Many small and medium-sized enterprises and sole proprietors must devote a great deal of time and effort to accounting work. In particular, the process of converting daily transaction data into accounting entries and preparing financial statements is complex and often requires specialized knowledge. However, many systems that streamline these tasks are expensive and often difficult to implement and operate. For this reason, there is a demand for systems that can perform accounting work efficiently and easily.

[0085] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0086] In this invention, the server includes a user terminal for inputting the company's business type, accounting policy, and account item master, means for receiving the business type, accounting policy, and account item master input from the user terminal and storing them in a database of a generation AI, a user terminal for inputting transaction details, means for receiving the transaction details input from the user terminal and automatically generating accounting journal entries using a generation AI model and outputting them to an Excel spreadsheet, and means for reading transaction journal information from the Excel spreadsheet and automatically generating a balance sheet, income statement, and cash flow statement, thereby enabling the automation and efficiency of accounting work.

[0087] A "user terminal" is an electronic device that allows a user to input information such as business type, accounting policy, account item master, and transaction details.

[0088] The "server" is a computer that receives information sent from the user's terminal, stores it in the generation AI's database, and then generates accounting entries and financial statements based on the transaction data.

[0089] A "generative AI model" is an artificial intelligence algorithm that analyzes data entered by a user and automatically generates appropriate accounting entries.

[0090] An "accounting entry" is an accounting record generated based on a transaction and assigning an amount to a specific account.

[0091] An "Excel sheet" is a file format available in Microsoft Excel and other spreadsheet software that is a table used to visually display accounting entries and financial statements.

[0092] A balance sheet is an accounting statement that summarizes a company's assets, liabilities, and capital position at a particular point in time.

[0093] An "income statement" is an accounting statement that shows a company's revenues, expenses, and net income for a particular period.

[0094] A "cash flow statement" is an accounting report that shows a company's flow of cash receipts and expenditures over a specific period of time, revealing the company's cash position.

[0095] The "account item master" is a list of standard account items that a company uses to create accounting entries.

[0096] "Business type" is a classification that indicates the type and nature of a company's business activities. Examples include retail, manufacturing, and services.

[0097] "Accounting policies" are the financial reporting standards and guidelines adopted by a company, such as accrual basis or cash basis.

[0098] This invention is a system for enabling sole proprietors and small and medium-sized enterprises to efficiently carry out accounting work. Using user terminals and a server, the system can perform all steps in an integrated manner, from registering the company's business type, accounting policy, and account item master data, to inputting transaction details, generating accounting entries, and automatically generating financial statements.

[0099] First, the user terminal provides an input means for entering the company's business type, accounting policy, and account item master. Specifically, the user selects from drop-down lists such as "retail" or "accrual basis," and enters account items such as "cash (101)" or "sales (401)" in the text boxes. This information is sent from the user terminal to the server. HTTPS communication is used for transmission, ensuring secure data transfer.

[0100] Next, the server saves the received data on business type, accounting policy, and account master data in the generation AI database. The generation AI then prepares to automatically generate accounting entries based on this basic data. To save the data, it uses database operations such as SQL INSERT statements.

[0101] Next, the user enters the transaction details into the user device. For example, if there is a sale of 1,000 yen on December 1, 2023, the user enters the transaction details into the user device. This information is also sent to the server via HTTPS communication. The server passes the received transaction data to the generative AI model, which automatically generates accounting entries. The generative AI model uses an algorithm for creating journal entries, for example, via an API call.

[0102] The generated accounting entries are output by the server to an Excel spreadsheet using an Excel generation library (e.g., Apache POI or Python's openpyxl) to visually display the accounting data. The server then sends the generated Excel spreadsheet to the user's device and provides a link that allows the user to download and view the Excel spreadsheet.

[0103] Furthermore, the server automatically generates balance sheets, income statements, and cash flow statements based on the contents of the Excel spreadsheet. This process uses a generative AI model. The generated financial statements are also output as new Excel spreadsheets and provided to the user. Users can use these to file blue tax returns or for management accounting.

[0104] Examples:

[0105] The user enters the following information:

[0106] Business type: Retail

[0107] Accounting policy: accrual basis

[0108] Account Master: Cash (101), Sales (401)

[0109] Next, the user enters the following information for the transaction:

[0110] Date: December 1, 2023

[0111] Description: 1000 yen sales

[0112] Price: 1,000 yen

[0113] Account code: 401

[0114] The server generates accounting entries based on the transaction details and outputs them to an Excel spreadsheet. For example, the following entries are generated:

[0115] Date: December 1, 2023

[0116] Account: Sales

[0117] Debit amount: 1000 yen

[0118] Credit amount: 0 yen

[0119] An example prompt is:

[0120] "Using your accounting system, generate accounting entries based on retail sales of 1,000 yen on December 1, 2023, and output them to an Excel spreadsheet. Then, use this journal entry data to generate a balance sheet and income statement."

[0121] By using this system, users can perform accounting tasks easily and quickly, saving time and effort.

[0122] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0123] Step 1:

[0124] The user terminal provides a form for entering the company's business type, accounting policy, and account item master data. The entered information includes business type and accounting policy such as "retail" and "accrual basis," as well as account items such as "cash (101)" and "sales (401)." The user enters this information and clicks the submit button. The entered data is sent to the server via HTTPS communication.

[0125] input:

[0126] Business type, accounting policy, account item master

[0127] output:

[0128] User data sent to the server

[0129] Specific behavior:

[0130] The user fills in the form and clicks the submit button.

[0131] Step 2:

[0132] The server verifies the received information on business type, accounting policy, and account master, and saves it in the database of the generated AI. To save the data, it uses the SQL INSERT statement to create the appropriate record in the database.

[0133] input:

[0134] Business type, accounting policy, and account item master data sent from the user terminal

[0135] output:

[0136] Data stored in the generative AI database

[0137] Specific behavior:

[0138] The server validates the data and executes an SQL INSERT statement to save it to the database.

[0139] Step 3:

[0140] The user displays a form on their terminal to input transaction details. They enter the transaction date, description, amount, and account code, and click the submit button. For example, if a sale of 1,000 yen occurs on December 1, 2023, they enter the transaction details. This information is also sent to the server.

[0141] input:

[0142] Transaction details (e.g., date, description, amount, account code)

[0143] output:

[0144] Transaction data sent to the server

[0145] Specific behavior:

[0146] The user enters the transaction details into the form and clicks the submit button.

[0147] Step 4:

[0148] The server passes the received transaction data to the generative AI model and requests it to automatically generate accounting entries. The generative AI model analyzes the transaction data and generates the appropriate accounting entries. This process involves passing the data to the generative AI model via an HTTP API call.

[0149] input:

[0150] Transaction data sent from the user device

[0151] output:

[0152] Generated accounting data

[0153] Specific behavior:

[0154] The server calls the API of the generated AI model, passes the transaction data, and generates accounting entries.

[0155] Step 5:

[0156] The server outputs the generated accounting entries to an Excel spreadsheet. Using an Excel generation library (such as Apache POI or Python's openpyxl), a journal table is created containing information such as date, description, amount, and account code. The generated Excel spreadsheet is sent to the user's device and a download link is provided.

[0157] input:

[0158] Generated accounting data

[0159] output:

[0160] Accounting journal data in Excel format

[0161] Specific behavior:

[0162] The server uses an Excel generation library to create a journal entry table and provides it to the user.

[0163] Step 6:

[0164] The server reads the journal information output to an Excel spreadsheet and automatically generates a balance sheet, income statement, and cash flow statement based on this information using a generative AI model. The generated financial statements are also output as Excel spreadsheets and provided to the user.

[0165] input:

[0166] Accounting journal data in Excel format

[0167] output:

[0168] Financial statements in Excel format

[0169] Specific behavior:

[0170] The server uses the generative AI model to automatically generate financial statements and output them as Excel sheets.

[0171] This series of steps allows the user to perform accounting tasks efficiently and easily.

[0172] (Application example 1)

[0173] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0174] With conventional accounting systems, sole proprietors and small and medium-sized enterprises manually create accounting entries and financial statements, which takes time and effort and is prone to errors. Furthermore, it is difficult to link inventory management and product inbound and outbound information at logistics centers with the accounting system, hindering efficient business operations. This has created a need for improved efficiency and accuracy in complex accounting operations.

[0175] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0176] In this invention, the server includes a user terminal for inputting the company's business type, accounting policy, and account item master data, server means for receiving the business type, accounting policy, and account item master data input from the user terminal and saving them in a database of a generation AI, a user terminal for inputting transaction details, server means for receiving the transaction details input from the user terminal, automatically generating accounting entries and outputting them to an Excel spreadsheet, server means for reading transaction entry information from the Excel spreadsheet and automatically generating a balance sheet, income statement, and cash flow statement, a user terminal for inputting inventory management and product inbound / outbound information at a logistics center, and server means for automatically generating accounting entries from the inventory management and inbound / outbound information using the generation AI. This enables sole proprietors and small and medium-sized enterprises to easily perform accounting work within their logistics centers and achieve efficient and accurate accounting processing in conjunction with inventory management and inbound / outbound information.

[0177] A "user terminal" is an electronic device for a user to input information, and includes a personal computer, a smartphone, a tablet, or the like.

[0178] "Server means" refers to a computer system on a network that receives and processes information sent from a user terminal.

[0179] "Generative AI" is an artificial intelligence system that automatically generates accounting entries and financial statements based on input data.

[0180] "Business type" refers to the type and nature of the business conducted by a company or sole proprietor.

[0181] "Accounting policies" refer to the basic rules and policies regarding accounting procedures adopted by companies and sole proprietors.

[0182] The "account item master" is a database that manages a list of account items used in accounting processing and their detailed information.

[0183] "Transaction details" refers to information about specific economic activities such as buying and selling or providing services conducted by companies or individual business owners.

[0184] An "accounting entry" is a basic unit of accounting processing in which transactions are recorded using a double entry method based on specific account items.

[0185] "Excel Sheet" means a spreadsheet file used by Microsoft Excel or similar spreadsheet software.

[0186] A balance sheet is a financial statement that shows the status of a company's assets, liabilities, and capital at a given point in time.

[0187] An income statement is a financial statement that shows a company's revenues and expenses over a certain period of time.

[0188] A cash flow statement is a financial statement that shows a company's cash flow over a certain period of time.

[0189] "Inventory management" is the task of monitoring and managing the quantity and value of goods stored within a company or logistics center.

[0190] "Incoming and outgoing product information" is specific data related to the receipt (entry) and shipping (shipment) of products at the logistics center.

[0191] This invention is a system for enabling sole proprietors and small and medium-sized enterprises to efficiently carry out accounting work at their logistics centers. The system uses user terminals and server means to perform an integrated process from registering business types, accounting policies, and account item master data, to inputting transaction details, generating accounting entries, and automatically generating financial statements.

[0192] User terminal

[0193] First, a user terminal is prepared. A user terminal can be a PC, smartphone, or tablet, and the user uses it to input their company's business type, accounting policy, and account item master data. For example, the user might input a business type such as "retail" and an accounting policy such as "accrual basis." They also input account items such as "cash (101)" and "sales (401)." This information is sent to the server.

[0194] Server Means

[0195] The server receives the information on business type, accounting policy, and account item master data sent from the user terminal and stores it in the database of the generation AI. Based on this information, the generation AI prepares the basic data necessary to generate accounting entries.

[0196] Next, the user inputs the daily operations of the logistics center. Specifically, they input inventory management information and product inbound and outbound information from the user terminal. For example, if a product worth 1,000 yen arrives on December 1, 2023, they enter that information. This information is also sent to the server.

[0197] Transaction processing

[0198] The server automatically generates accounting entries from the entered transaction details using generation AI. The generated accounting entries are output to an Excel spreadsheet for user review. This Excel spreadsheet contains information such as dates, descriptions, amounts, and account codes.

[0199] The server then reads the content of the generated Excel spreadsheet and automatically generates a balance sheet, income statement, and cash flow statement based on this information. These financial statements are also output to Excel spreadsheets for user review and management accounting.

[0200] Hardware and software used

[0201] The system uses the following hardware and software:

[0202] Hardware: PCs, smartphones, tablets

[0203] Software: Python, pandas, openpyxl, Microsoft Excel

[0204] Specific examples

[0205] For example, if you enter the following information:

[0206] Business type: Retail

[0207] Accounting policy: accrual basis

[0208] Account Master: Cash (101), Sales (401)

[0209] Next, enter the transaction details for the distribution center as follows:

[0210] Date: December 1, 2023

[0211] Description: New product arrival

[0212] Price: 1,000 yen

[0213] Account code: 401

[0214] Based on this input information, the AI ​​generates accounting entries and automatically generates balance sheets, income statements, and cash flow statements. Examples of prompts are as follows:

[0215] Prompt Sentence Examples

[0216] User: Logistics Center

[0217] Accounting policy: accrual basis

[0218] Account Master: Cash (101), Sales (401)

[0219] Transaction details:

[0220] Date: December 1, 2023

[0221] Description: New product arrival

[0222] Price: 1,000 yen

[0223] Account code: 401

[0224] The above processing improves the efficiency of accounting operations in the operation of a logistics center, enabling managers to perform their work easily and accurately.

[0225] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0226] Step 1:

[0227] The user inputs their company's business type, accounting policy, and account item master data from the user terminal. This input data includes the business type (e.g., retail), accounting policy (e.g., accrual basis), and account items (e.g., cash (101), sales (401)). The terminal sends this input data to the server.

[0228] Step 2:

[0229] The server stores the information received from the terminal, including the business type, accounting policy, and account master data, in the generation AI database. This database holds the basic data required to generate accounting entries. Once stored, the data is used in subsequent processing.

[0230] Step 3:

[0231] The user enters the transaction details into a user terminal at the distribution center. The entered data includes the transaction date (e.g., December 1, 2023), description (e.g., new product arrival), amount (e.g., 1,000 yen), and account code (e.g., 401). The terminal then sends the transaction details to the server.

[0232] Step 4:

[0233] The server uses generation AI to automatically generate accounting entries from the received transaction details. The generation AI model derives appropriate accounting entries based on the stored business type, accounting policy, and account item master data. The generated entries are output in Excel sheet format. This Excel sheet contains information such as date, description, amount, and account item code.

[0234] Step 5:

[0235] The server reads the contents of the generated Excel sheet. Based on the transaction journal information, it automatically generates a balance sheet, income statement, and cash flow statement. These financial statements are also output in Excel sheet format. This data output allows the user to check the financial situation on a spreadsheet.

[0236] Step 6:

[0237] The user checks the generated accounting entries and financial statements through their terminal, opens an Excel spreadsheet on the terminal, checks whether the transaction details are accurately reflected, and makes corrections or additional entries as necessary.

[0238] Prompt Sentence Examples

[0239] User: Logistics Center

[0240] Accounting policy: accrual basis

[0241] Account Master: Cash (101), Sales (401)

[0242] Transaction details:

[0243] Date: December 1, 2023

[0244] Description: New product arrival

[0245] Price: 1,000 yen

[0246] Account code: 401

[0247] Through the above steps, accounting operations at the logistics center will be made more efficient, and by linking inventory management and product inbound and outbound information with accounting processing, accurate and prompt accounting operations will be realized.

[0248] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0249] This invention combines a system for enabling sole proprietors and small and medium-sized enterprises to efficiently perform accounting tasks with an emotion engine that recognizes the user's emotions. By using a user terminal, server means, and emotion engine, the system can consistently perform everything from registering a company's business type, accounting policy, and account item master data to inputting transaction details, generating accounting journal entries, automatically generating financial statements, and even providing feedback to the user.

[0250] First, the user terminal provides an input means for inputting the company's business type, accounting policy, and account item master. For example, the user inputs "retail" as the business type, "accrual basis" as the accounting policy, and "cash (101)" and "sales (401)" as the account items. In this way, the user provides the system with basic information about their company.

[0251] The server receives the information on business type, accounting policy, and account item master sent from the user terminal and stores it in the database of the generation AI. This allows the server to properly manage the input information and enable the generation AI to operate based on it.

[0252] Next, the user enters the details of the transaction that occurred into the user terminal. For example, if there was a sale of 1,000 yen on December 1, 2023, the user would enter the details of that transaction. In this way, the user provides specific transaction information to the system.

[0253] When entering transaction details, the user terminal acquires emotional information from the user's facial expressions, voice, etc., and sends it to the emotion engine. Based on this, the emotion engine analyzes the user's emotional state and sends it to the server means.

[0254] The server passes the received transaction information and emotion information to the AI ​​generator, which then automatically generates accounting entries. The generated accounting entries include the transaction date, description, amount, and related account code. Based on the emotion information, the AI ​​provides input assistance and encouraging messages to the user as needed.

[0255] The generated accounting entries are output to an Excel spreadsheet for user review, while the emotion engine takes into account the user's emotional information to provide feedback and flexibly adjust the review process.

[0256] The server then reads transaction journal information from the generated Excel spreadsheet and automatically generates balance sheets, income statements, and cash flow statements, each calculated and formed according to standard accounting principles.

[0257] The generated financial statements are also output as Excel sheets, which users can use for confirmation, blue tax return filing, and management accounting. The emotion engine monitors the user's emotions throughout this process and provides necessary support depending on the situation.

[0258] As a concrete example, suppose the user enters the following information:

[0259] Business type: Retail

[0260] Accounting policy: accrual basis

[0261] Account Master: Cash (101), Sales (401)

[0262] The transaction details entered by the user are as follows:

[0263] Date: December 1, 2023

[0264] Description: 1000 yen sales

[0265] Price: 1,000 yen

[0266] Account code: 401

[0267] If stress is detected from the user's facial expression when entering transaction details, the server will support the user by displaying a message such as "Please relax" based on the results of the emotion engine. The server outputs accounting entries generated based on the transaction details to an Excel spreadsheet so that the user can check them, and also automatically generates balance sheets, income statements, and cash flow statements and outputs them to Excel spreadsheets.

[0268] This allows users to manage accounting information efficiently and comfortably, and quickly generate appropriate financial statements. The addition of the emotion engine is expected to reduce the workload by providing support that takes into account the user's emotional state.

[0269] The processing flow will be explained below.

[0270] Step 1:

[0271] The user inputs the company's business type, accounting policy, and account title master. For example, the user inputs "retail" as the business type, "accrual basis" as the accounting policy, and "cash (101)" and "sales (401)" as the account titles. In this way, the user provides the system with basic information about their company.

[0272] Step 2:

[0273] The user terminal transmits the input information on the business type, accounting policy, and account title master to the server, which then receives the necessary initial setting information from the user.

[0274] Step 3:

[0275] The server stores the received information on business type, accounting policy, and account master data in the database of the generation AI.The server then uses this data to ensure that the generation AI has the basic data necessary to generate accounting entries.

[0276] Step 4:

[0277] The user inputs the details of the transaction that occurred into the user terminal. For example, if there was a sale of 1,000 yen on December 1, 2023, the user would input the details of that transaction. In this way, the user provides specific transaction information to the system.

[0278] Step 5:

[0279] The user terminal transmits the entered transaction details to the server. At the same time, the user terminal acquires the user's facial expressions and voice data as they are entering the information, and transmits this data to the emotion engine. This allows the server to simultaneously receive transaction information and emotion information from the user.

[0280] Step 6:

[0281] The emotion engine analyzes the received user's facial expressions and voice data to understand the user's emotional state. For example, it determines whether the user is feeling stressed or anxious. This emotional information is then sent to the server.

[0282] Step 7:

[0283] The server passes the received transaction information and emotion information to the AI ​​generator, which then automatically generates accounting entries. The generated accounting entries include the transaction date, description, amount, and related account code. Based on the emotion information, the AI ​​displays input assistance and encouraging messages to the user as needed.

[0284] Step 8:

[0285] The server outputs the generated accounting entries to an Excel spreadsheet, where the user can review the entries. The emotion engine monitors the user's emotional state and provides feedback.

[0286] Step 9:

[0287] The server reads the transaction journal information from the generated Excel sheet, which gives the server the data to use in the next step.

[0288] Step 10:

[0289] The server automatically generates balance sheets, income statements, and cash flow statements based on the journal entry information it reads. Each financial statement is calculated and created based on standard accounting principles.

[0290] Step 11:

[0291] The server outputs the generated balance sheet, income statement, and cash flow statement to a new Excel spreadsheet, allowing the user to view and use these financial statements.

[0292] Step 12:

[0293] Users can download the output financial statements and use them for blue tax returns or management accounting. The emotion engine monitors the user's emotions throughout this process and continues to provide necessary support depending on the situation. This allows users to easily carry out the necessary accounting tasks.

[0294] This process allows users to effectively manage accounting information and quickly generate appropriate financial statements, while also taking into account their emotional state during the process, providing support to reduce stress and anxiety.

[0295] Example 2

[0296] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0297] For today's sole proprietors and small and medium-sized enterprises, accounting work is extremely complex, time-consuming, and requires specialized knowledge. Small businesses, in particular, have limited resources and find it difficult to allocate significant time to accounting work. Furthermore, systems that do not take the user's psychological state into consideration can lead to stressful tasks and reduced productivity. Therefore, there is a need for a system that can perform accounting work simply and efficiently, while also providing support that takes the user's emotional state into consideration.

[0298] The specific processing by the specific processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes a user terminal means for inputting the company's business type, accounting policy, and account item master, a means for receiving the business type, accounting policy, and account item master input from the user terminal and storing them in a database, a user terminal means for inputting transaction details, a means for receiving the transaction details and emotional information input from the user terminal, performing emotional analysis using an emotion engine, automatically generating accounting journal entries based on a generation AI, and outputting them to an Excel spreadsheet, and a means for reading transaction journal information from the Excel spreadsheet and automatically generating a balance sheet, income statement, and cash flow statement. This enables the efficiency and streamlining of accounting work, and is expected to reduce the workload and improve productivity by providing feedback according to the user's emotional state.

[0299] A "user terminal" is an input device that allows a user to input business type, accounting policy, account item master, and transaction details.

[0300] The "server means" is a computing device that receives and stores information input from a user terminal and executes the necessary processing.

[0301] An "emotion engine" is software that analyzes a user's facial expressions and voice data to determine their emotional state.

[0302] "Generative AI" is an artificial intelligence technology that automatically generates accounting entries based on information provided by the user.

[0303] An "Excel sheet" is a spreadsheet software sheet that visually displays generated accounting entries and financial statements.

[0304] "Accounting entries" are information used to record accounting information based on transaction details.

[0305] "Financial statements" means documents that show the financial position and business performance of a company, and include balance sheets, income statements, and cash flow statements.

[0306] This invention combines a system for enabling sole proprietors and small and medium-sized enterprises to efficiently perform accounting tasks with an emotion engine that recognizes the user's emotions. By using a user terminal, server means, and emotion engine, the system can consistently perform everything from registering a company's business type, accounting policy, and account item master data to inputting transaction details, generating accounting journal entries, automatically generating financial statements, and even providing feedback to the user.

[0307] First, the user terminal takes the form of a personal computer or smartphone, and provides an input means for the user to enter their company's business type, accounting policy, and account item master data. For example, the user enters "retail" as the business type, "accrual basis" as the accounting policy, and "cash (101)" and "sales (401)" as account items. In this way, the user provides the system with basic information about their company.

[0308] The server means is implemented on a cloud server (e.g., AWS (registered trademark) or Google (registered trademark) Cloud), receives information on business type, accounting policy, and account item master sent from the user terminal, and stores it in a database. This allows the server to properly manage the input information and enable the generation AI to operate based on it. For example, the stored business type information and accounting policy are used in subsequent accounting processing.

[0309] Next, the user enters the details of the transaction that occurred into the user terminal. For example, if there was a sale of 1,000 yen on December 1, 2023, the user would enter the details of that transaction. In this way, the user provides specific transaction information to the system.

[0310] When entering transaction details, the user terminal acquires emotional information from the user's facial expressions, voice, etc., and sends it to the emotion engine. The emotion engine uses Microsoft Azure (registered trademark) Cognitive Services or Google Cloud's Natural Language API to analyze the user's emotional state and sends it to the server means.

[0311] The server passes the received transaction information and emotion information to the generation AI, which then automatically generates accounting entries. The generated accounting entries include the transaction date, description, amount, and related account code. Based on the emotion information, the server provides input assistance and encouraging messages to the user as needed. For example, if the user is feeling stressed, the message "Relax" is displayed.

[0312] The generated accounting entries are output to an Excel spreadsheet for user review, while the emotion engine takes into account the user's emotional information to provide feedback and flexibly adjust the review process.

[0313] The server then reads transaction journal information from the generated Excel spreadsheet and automatically generates balance sheets, income statements, and cash flow statements, each calculated and formed according to standard accounting principles.

[0314] The generated financial statements are also output as Excel sheets, which users can use for confirmation, blue tax return filing, and management accounting. The emotion engine monitors the user's emotions throughout this process and provides necessary support depending on the situation.

[0315] As a concrete example, suppose the user enters the following information:

[0316] Business type: Retail

[0317] Accounting policy: accrual basis

[0318] Account Master: Cash (101), Sales (401)

[0319] The transaction details entered by the user are as follows:

[0320] Date: December 1, 2023

[0321] Description: 1000 yen sales

[0322] Price: 1,000 yen

[0323] Account code: 401

[0324] If stress is detected from the user's facial expression when entering transaction details, the server will support the user by displaying a message such as "Please relax" based on the results of the emotion engine. The server outputs accounting entries generated based on the transaction details to an Excel spreadsheet so that the user can check them, and also automatically generates balance sheets, income statements, and cash flow statements and outputs them to Excel spreadsheets.

[0325] An example prompt is:

[0326] The user selected "Retail" as the business type and "Accrual basis" as the accounting policy, and set "Cash (101)" and "Sales (401)" as the account item master.

[0327] Generate accounting entries based on the following transactions:

[0328] Date: December 1, 2023

[0329] Description: 1000 yen sales

[0330] Price: 1000 yen

[0331] Account Code: 401

[0332] Also, the emotion engine detected stress when the user typed, so display the message "Relax."

[0333] This system allows users to perform accounting tasks efficiently, and the support provided by the emotion engine reduces the workload.

[0334] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0335] Step 1: Enter basic user information

[0336] The user enters their company's business type, accounting policy, and account item master data into the user terminal. For example, they enter "retail," "accrual basis," "cash (101)," and "sales (401)." The entered information is sent to the server by pressing the send button. Input: business type, accounting policy, account item master data. Output: the entered information is sent to the server as data.

[0337] Step 2: Send and store data

[0338] The terminal sends the information entered by the user on the business type, accounting policy, and account master to the server. The server saves the received data in the database. This ensures that the entered information is properly managed in the database. Input: Information sent from the user terminal. Output: Saved database entry.

[0339] Step 3: Enter your transaction details

[0340] The user enters the details of the transaction that occurred into the user terminal. For example, the transaction details are "December 1, 2023," sales of 1,000 yen, and "401." The entered information is sent to the server. Input: Transaction date, transaction description, transaction amount, account code. Output: The entered transaction details are sent to the server.

[0341] Step 4: Sentiment Analysis and Feedback

[0342] When entering transaction details, the terminal obtains emotional information from the user's facial expressions and voice and sends it to the emotion engine. The emotion engine analyzes this information and sends the user's emotional state to the server. The server generates a feedback message based on the emotional state and displays it on the user's terminal. For example, if the user is feeling stressed, a message saying "Please relax" is displayed. Input: facial expression data, voice data. Output: emotional state analysis results, feedback message.

[0343] Step 5: Automatic journal generation

[0344] The server passes transaction information and sentiment information to the generation AI. The generation AI automatically generates accounting entries based on this information and returns the results to the server. The generated accounting entries include the transaction date, description, amount, and related account code. Input: Transaction information, sentiment information. Output: Generated accounting entry data.

[0345] Step 6: Check and print journal information

[0346] The server automatically outputs the generated accounting entry information to an Excel spreadsheet. The created Excel spreadsheet is sent to the user's terminal so that the user can check it. Input: Generated accounting entry data. Output: Excel spreadsheet file.

[0347] Step 7: Auto-generate financial statements

[0348] The server reads transaction journal information from the generated Excel sheet and automatically generates balance sheets, income statements, and cash flow statements. The generated financial statements are output to new Excel sheets so that users can check and use them. Input: Excel sheet containing journal information. Output: Excel sheet files containing balance sheets, income statements, and cash flow statements.

[0349] For example, when a user inputs "Retail," "Accrual basis," "Cash (101)," and "Sales (401)," and then enters "December 1, 2023," "Sales of 1,000 yen," and "401" as transaction details, the emotion engine detects the user's stress. The message "Please relax" is displayed, and then accounting entries and financial statements are generated and output to an Excel spreadsheet.

[0350] (Application example 2)

[0351] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0352] Conventional accounting systems require users to manually input a large amount of accounting information on a daily basis, which often results in input errors and complication of work. Furthermore, the lack of support that takes into account the user's emotional state creates issues that lead to stress and fatigue. Furthermore, the lack of a system for efficiently processing and checking accounting information often places a heavy burden on small and medium-sized enterprises and sole proprietors.

[0353] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0354] In this invention, the server includes an information input device means for inputting the company's business type, accounting policy, and account title master, an integrated monitoring device means for receiving the business type, accounting policy, and account title master input from the information input device and storing them in the memory device of the generation AI, and an information input device means for inputting transaction details. This makes it possible to process accounting information efficiently and accurately and automatically generate financial statements while providing feedback that takes into account the user's emotional state.

[0355] The "information input device" is a device that allows a user to input information about the company's business type, accounting policy, account item master, and transaction details.

[0356] The "integrated monitoring device" is a device that receives data input from the information input device, stores it in the memory device of the generation AI, automatically generates accounting entries, and outputs them to a spreadsheet software sheet.

[0357] "Generative AI" is an artificial intelligence that generates accounting entries based on information entered by the user and automatically creates financial statements.

[0358] A "memory device" is a device for storing data necessary for the generation AI to operate.

[0359] An "emotion recognition device" is a device that acquires emotional information from a user's facial expressions and voice and analyzes their emotional state.

[0360] The "emotion feedback device" is a device that provides feedback to a user based on the emotion information analyzed by the emotion recognition device.

[0361] A "voice recognition device" is a device for converting a user's voice input into text data.

[0362] The "image capture device" is a camera device for capturing the user's facial expression.

[0363] A "spreadsheet software sheet" is a sheet of spreadsheet software on which accounting entries and financial statements are output and which the user can check.

[0364] This invention provides a system for streamlining checkout procedures in brick-and-mortar stores and providing support by taking into account the user's emotional state. The system uses an information input device, an integrated monitoring device, an emotion recognition device, an emotion feedback device, a voice recognition device, and an image capture device. Specific embodiments of the system are described below.

[0365] 1. Information input device

[0366] The information input device is a device for users to input accounting information, and corresponds to a mobile terminal such as a smartphone. The user inputs their company's business type, accounting policy, account item master, and transaction details through the information input device.

[0367] 2. Integrated monitoring device

[0368] The integrated monitoring device receives input accounting information, stores it in a memory device using generative AI, automatically generates accounting entries, and outputs them to a spreadsheet software. Specifically, this role is played by a server. The server analyzes the input information and automatically generates financial statements using a generative AI model that generates accounting entries.

[0369] 3. Emotion recognition device

[0370] The emotion recognition device is a device that analyzes a user's facial expressions and voice to acquire emotional information. This device includes a camera as an image acquisition device and a microphone as a voice recognition device. The emotion recognition device analyzes the user's emotional state based on the acquired facial and voice data and transmits the results to the integrated monitoring device.

[0371] 4. Emotional Feedback Device

[0372] The emotion feedback device is a device that provides feedback to a user based on emotion information analyzed by an emotion recognition device. For example, if the user is feeling stressed, it displays a message saying, "Please relax."

[0373] 5. Spreadsheet software sheet

[0374] The spreadsheet software is a sheet on which the generated accounting entries and financial statements are output, allowing the user to check the accounting information and make any necessary corrections or management.

[0375] Examples:

[0376] The user uses the information input device to input the following information:

[0377] Business type: Retail

[0378] Accounting policy: accrual basis

[0379] Account Master: Cash (101), Sales (401)

[0380] The deal is as follows:

[0381] Date: December 1, 2023

[0382] Description: 1000 yen sales

[0383] Price: 1,000 yen

[0384] Account code: 401

[0385] If the image capture device detects stress from the user's facial expression when entering transaction details, the emotion feedback device displays the message, "Please relax." The server outputs accounting entries generated based on the transaction details to a spreadsheet software, and also automatically generates balance sheets, income statements, and cash flow statements and outputs them to the spreadsheet software.

[0386] Example prompt sentence:

[0387] "Receive money December 1, 2023 1,000 yen"

[0388] "Expenses: December 1, 2023, transportation costs: 500 yen"

[0389] This allows users to efficiently manage accounting information and quickly generate appropriate financial statements using generative AI models. The addition of an emotion recognition device provides support that takes into account the user's emotional state, reducing the workload.

[0390] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0391] Step 1:

[0392] The user uses an information input device (smartphone or tablet) to input their company's business type, accounting policy, and account item master data. At this time, the user fills in the information according to the input form and presses the send button. The input includes data on "business type," "accounting policy," and "account item master data," and each data is sent to the server. The output is the company's basic information stored on the server.

[0393] Step 2:

[0394] The server receives the above information and stores it in the Generator AI's memory device. Specifically, the server analyzes the data on business type, accounting policy, and account master, and registers it in the Generator AI's database. This allows the user's basic accounting information to be managed. The input is the data on "business type," "accounting policy," and "account master" sent by the user, and the output is the data stored in the Generator AI's database.

[0395] Step 3:

[0396] The user can use the information input device to manually input the transaction details or use a voice recognition device to input the details by voice, for example, by using a prompt such as "Receive money December 1, 2023, 1,000 yen." The input is the specific data of the transaction details, and the output is the transaction input data generated by the information input device.

[0397] Step 4:

[0398] The video capture device (camera) and voice recognition device (microphone) capture the user's facial expressions and voice and send them to the emotion recognition device. The emotion recognition device analyzes the user's emotional state based on this data. The input is the user's facial expression data and voice data, and the output is analyzed emotional information.

[0399] Step 5:

[0400] The server analyzes the transaction details received from the information input device and the emotional information received from the emotion recognition device. The generation AI automatically generates accounting entries based on this data. The input is the transaction details and emotional information, and the output is the generated accounting entry data.

[0401] Step 6:

[0402] The generated accounting journal data is output to a spreadsheet software sheet so that the user can check it. The server displays this sheet to the user and prompts them to make corrections or add additional information as necessary. The input is the accounting journal data, and the output is the journal information displayed on the spreadsheet software sheet.

[0403] Step 7:

[0404] The server reads transaction journal information from a spreadsheet software sheet and automatically generates a balance sheet, income statement, and cash flow statement. The generated financial statements are also output to the spreadsheet software sheet so that the user can check and manage them. The input is the journal information read from the spreadsheet software sheet, and the output is the newly generated financial statements.

[0405] Step 8:

[0406] The emotion feedback device provides appropriate feedback to the user based on the emotion information from the emotion recognition device. For example, if the user is feeling stressed, a message saying "Please relax" is displayed. The input is the analyzed emotion information, and the output is a feedback message.

[0407] These processing steps enable the system of the present invention to provide support that takes into account the user's emotional state while allowing the user to efficiently manage their accounting information.

[0408] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0409] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0410] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0411] [Second embodiment]

[0412] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0413] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0414] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0415] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0416] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0417] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0418] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0419] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0420] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0421] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0422] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0423] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0424] This invention is a system for enabling sole proprietors and small and medium-sized enterprises to efficiently carry out accounting work. By using user terminals and server means, the system can perform an integrated process from registering the company's business type, accounting policy, and account item master data to inputting transaction details, generating accounting entries, and automatically generating financial statements.

[0425] First, the user terminal provides an input means for inputting the company's business type, accounting policy, and account item master. For example, the user inputs a business type such as "retail business," an accounting policy such as "accrual basis," and account items such as "cash (101)" and "sales (401)." The terminal also has a function for transmitting this information to the server.

[0426] The server receives the information on business type, accounting policy, and account item master data sent from the user terminal and stores it in the database of the generation AI. The generation AI prepares the basic data necessary to generate accounting entries based on this information.

[0427] Next, the user enters the transaction details into the user terminal. For example, if a sale of 1,000 yen occurs on December 1, 2023, the user enters the transaction details. This information is also sent to the server. The server uses generation AI to automatically generate accounting entries from the entered transaction details. The generated accounting entries are output to an Excel spreadsheet so that the user can check them. This Excel spreadsheet contains information such as the date, description, amount, and account code.

[0428] The server then reads the contents of the generated Excel spreadsheet and automatically generates balance sheets, income statements, and cash flow statements based on this information. These financial statements are then output to new Excel spreadsheets so that users can review them and use them for blue tax return filing and management accounting.

[0429] As a concrete example, suppose the user enters the following information:

[0430] Business type: Retail

[0431] Accounting policy: accrual basis

[0432] Account Master: Cash (101), Sales (401)

[0433] Next, the user enters the following transaction:

[0434] Date: December 1, 2023

[0435] Description: 1000 yen sales

[0436] Price: 1,000 yen

[0437] Account code: 401

[0438] The server generates accounting entries based on the transaction details and outputs them to an Excel spreadsheet. For example, the following entries are generated:

[0439] Date: December 1, 2023

[0440] Account: Sales

[0441] Debit amount: 1000 yen

[0442] Credit amount: 0 yen

[0443] From this journal entry information, the server then automatically generates a balance sheet, income statement, and cash flow statement. The generated financial statements are also output as Excel sheets. Users can use this information to efficiently file blue tax returns and perform management accounting.

[0444] By using this system, users can easily perform complex accounting tasks, saving time and effort.

[0445] The processing flow will be explained below.

[0446] Step 1:

[0447] The user inputs the company's business type, accounting policy, and account title master. For example, the user inputs "retail" as the business type, "accrual basis" as the accounting policy, and "cash (101)" and "sales (401)" as the account titles. In this way, the user provides the system with basic information about their company.

[0448] Step 2:

[0449] The user terminal transmits the input information on the business type, accounting policy, and account title master to the server, which then receives the necessary initial setting information from the user.

[0450] Step 3:

[0451] The server stores the received information on business type, accounting policy, and account master data in the database of the generation AI. In this case, the server appropriately structures the input information so that the AI ​​can operate based on it.

[0452] Step 4:

[0453] The user inputs the details of the transaction that occurred into the user terminal. For example, if there was a sale of 1,000 yen on December 1, 2023, the user would input the details of that transaction. In this way, the user provides specific transaction information to the system.

[0454] Step 5:

[0455] The user terminal transmits the entered transaction details to the server, which then receives the transaction information from the user.

[0456] Step 6:

[0457] The server passes the received transaction information to the generation AI, which automatically generates accounting entries, including the transaction date, description, amount, and related account code.

[0458] Step 7:

[0459] The server outputs the generated accounting information to an Excel spreadsheet, at which point the user can check the contents of the journal entries.

[0460] Step 8:

[0461] The server reads the transaction journal information from the generated Excel sheet, which gives the server the data to use in the next step.

[0462] Step 9:

[0463] The server automatically generates balance sheets, income statements, and cash flow statements based on the journal entry information it reads. Each financial statement is calculated and created based on standard accounting principles.

[0464] Step 10:

[0465] The server outputs the generated balance sheet, income statement, and cash flow statement to a new Excel spreadsheet, allowing the user to view and use these financial statements.

[0466] Step 11:

[0467] Users can download the output financial statements and use them for blue tax return filing and management accounting, allowing them to easily carry out the necessary accounting tasks.

[0468] This process allows users to effectively manage accounting information and quickly generate appropriate financial statements.

[0469] Example 1

[0470] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0471] Many small and medium-sized enterprises and sole proprietors must devote a great deal of time and effort to accounting work. In particular, the process of converting daily transaction data into accounting entries and preparing financial statements is complex and often requires specialized knowledge. However, many systems that streamline these tasks are expensive and often difficult to implement and operate. For this reason, there is a demand for systems that can perform accounting work efficiently and easily.

[0472] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0473] In this invention, the server includes a user terminal for inputting the company's business type, accounting policy, and account item master, means for receiving the business type, accounting policy, and account item master input from the user terminal and storing them in a database of a generation AI, a user terminal for inputting transaction details, means for receiving the transaction details input from the user terminal and automatically generating accounting journal entries using a generation AI model and outputting them to an Excel spreadsheet, and means for reading transaction journal information from the Excel spreadsheet and automatically generating a balance sheet, income statement, and cash flow statement, thereby enabling the automation and efficiency of accounting work.

[0474] A "user terminal" is an electronic device that allows a user to input information such as business type, accounting policy, account item master, and transaction details.

[0475] The "server" is a computer that receives information sent from the user's terminal, stores it in the generation AI's database, and then generates accounting entries and financial statements based on the transaction data.

[0476] A "generative AI model" is an artificial intelligence algorithm that analyzes data entered by a user and automatically generates appropriate accounting entries.

[0477] An "accounting entry" is an accounting record generated based on a transaction and assigning an amount to a specific account.

[0478] An "Excel sheet" is a file format available in Microsoft Excel and other spreadsheet software that is a table used to visually display accounting entries and financial statements.

[0479] A balance sheet is an accounting statement that summarizes a company's assets, liabilities, and capital position at a particular point in time.

[0480] An "income statement" is an accounting statement that shows a company's revenues, expenses, and net income for a particular period.

[0481] A "cash flow statement" is an accounting report that shows a company's flow of cash receipts and expenditures over a specific period of time, revealing the company's cash position.

[0482] The "account item master" is a list of standard account items that a company uses to create accounting entries.

[0483] "Business type" is a classification that indicates the type and nature of a company's business activities. Examples include retail, manufacturing, and services.

[0484] "Accounting policies" are the financial reporting standards and guidelines adopted by a company, such as accrual basis or cash basis.

[0485] This invention is a system for enabling sole proprietors and small and medium-sized enterprises to efficiently carry out accounting work. Using user terminals and a server, the system can perform all steps in an integrated manner, from registering the company's business type, accounting policy, and account item master data, to inputting transaction details, generating accounting entries, and automatically generating financial statements.

[0486] First, the user terminal provides an input means for entering the company's business type, accounting policy, and account item master. Specifically, the user selects from drop-down lists such as "retail" or "accrual basis," and enters account items such as "cash (101)" or "sales (401)" in the text boxes. This information is sent from the user terminal to the server. HTTPS communication is used for transmission, ensuring secure data transfer.

[0487] Next, the server saves the received data on business type, accounting policy, and account master data in the generation AI database. The generation AI then prepares to automatically generate accounting entries based on this basic data. To save the data, it uses database operations such as SQL INSERT statements.

[0488] Next, the user enters the transaction details into the user device. For example, if there is a sale of 1,000 yen on December 1, 2023, the user enters the transaction details into the user device. This information is also sent to the server via HTTPS communication. The server passes the received transaction data to the generative AI model, which automatically generates accounting entries. The generative AI model uses an algorithm for creating journal entries, for example, via an API call.

[0489] The generated accounting entries are output by the server to an Excel spreadsheet using an Excel generation library (e.g., Apache POI or Python's openpyxl) to visually display the accounting data, and the server then sends the generated Excel spreadsheet to the user's device and provides a link that allows the user to download and view the Excel spreadsheet.

[0490] Furthermore, the server automatically generates balance sheets, income statements, and cash flow statements based on the contents of the Excel spreadsheet. This process uses a generative AI model. The generated financial statements are also output as new Excel spreadsheets and provided to the user. Users can use these to file blue tax returns or for management accounting.

[0491] Examples:

[0492] The user enters the following information:

[0493] Business type: Retail

[0494] Accounting policy: accrual basis

[0495] Account Master: Cash (101), Sales (401)

[0496] Next, the user enters the following information for the transaction:

[0497] Date: December 1, 2023

[0498] Description: 1000 yen sales

[0499] Price: 1,000 yen

[0500] Account code: 401

[0501] The server generates accounting entries based on the transaction details and outputs them to an Excel spreadsheet. For example, the following entries are generated:

[0502] Date: December 1, 2023

[0503] Account: Sales

[0504] Debit amount: 1000 yen

[0505] Credit amount: 0 yen

[0506] An example prompt is:

[0507] "Using your accounting system, generate accounting entries based on retail sales of 1,000 yen on December 1, 2023, and output them to an Excel spreadsheet. Then, use this journal entry data to generate a balance sheet and income statement."

[0508] By using this system, users can perform accounting tasks easily and quickly, saving time and effort.

[0509] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0510] Step 1:

[0511] The user terminal provides a form for entering the company's business type, accounting policy, and account item master data. The entered information includes business type and accounting policy such as "retail" and "accrual basis," as well as account items such as "cash (101)" and "sales (401)." The user enters this information and clicks the submit button. The entered data is sent to the server via HTTPS communication.

[0512] input:

[0513] Business type, accounting policy, account item master

[0514] output:

[0515] User data sent to the server

[0516] Specific behavior:

[0517] The user fills in the form and clicks the submit button.

[0518] Step 2:

[0519] The server verifies the received information on business type, accounting policy, and account master, and saves it in the database of the generated AI. To save the data, it uses the SQL INSERT statement to create the appropriate record in the database.

[0520] input:

[0521] Business type, accounting policy, and account item master data sent from the user terminal

[0522] output:

[0523] Data stored in the generative AI database

[0524] Specific behavior:

[0525] The server validates the data and executes an SQL INSERT statement to save it to the database.

[0526] Step 3:

[0527] The user displays a form on their terminal to input transaction details. They enter the transaction date, description, amount, and account code, and click the submit button. For example, if a sale of 1,000 yen occurs on December 1, 2023, they enter the transaction details. This information is also sent to the server.

[0528] input:

[0529] Transaction details (e.g., date, description, amount, account code)

[0530] output:

[0531] Transaction data sent to the server

[0532] Specific behavior:

[0533] The user enters the transaction details into the form and clicks the submit button.

[0534] Step 4:

[0535] The server passes the received transaction data to the generative AI model and requests it to automatically generate accounting entries. The generative AI model analyzes the transaction data and generates the appropriate accounting entries. This process involves passing the data to the generative AI model via an HTTP API call.

[0536] input:

[0537] Transaction data sent from the user device

[0538] output:

[0539] Generated accounting data

[0540] Specific behavior:

[0541] The server calls the API of the generated AI model, passes the transaction data, and generates accounting entries.

[0542] Step 5:

[0543] The server outputs the generated accounting entries to an Excel spreadsheet. Using an Excel generation library (such as Apache POI or Python's openpyxl), a journal table is created containing information such as date, description, amount, and account code. The generated Excel spreadsheet is sent to the user's device and a download link is provided.

[0544] input:

[0545] Generated accounting data

[0546] output:

[0547] Accounting journal data in Excel format

[0548] Specific behavior:

[0549] The server uses an Excel generation library to create a journal entry table and provides it to the user.

[0550] Step 6:

[0551] The server reads the journal information output to an Excel spreadsheet and automatically generates a balance sheet, income statement, and cash flow statement based on this information using a generative AI model. The generated financial statements are also output as Excel spreadsheets and provided to the user.

[0552] input:

[0553] Accounting journal data in Excel format

[0554] output:

[0555] Financial statements in Excel format

[0556] Specific behavior:

[0557] The server uses the generative AI model to automatically generate financial statements and output them as Excel sheets.

[0558] This series of steps allows the user to perform accounting tasks efficiently and easily.

[0559] (Application example 1)

[0560] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0561] With conventional accounting systems, sole proprietors and small and medium-sized enterprises manually create accounting entries and financial statements, which takes time and effort and is prone to errors. Furthermore, it is difficult to link inventory management and product inbound and outbound information at logistics centers with the accounting system, hindering efficient business operations. This has created a need for improved efficiency and accuracy in complex accounting operations.

[0562] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0563] In this invention, the server includes a user terminal for inputting the company's business type, accounting policy, and account item master data, server means for receiving the business type, accounting policy, and account item master data input from the user terminal and saving them in a database of a generation AI, a user terminal for inputting transaction details, server means for receiving the transaction details input from the user terminal, automatically generating accounting entries and outputting them to an Excel spreadsheet, server means for reading transaction entry information from the Excel spreadsheet and automatically generating a balance sheet, income statement, and cash flow statement, a user terminal for inputting inventory management and product inbound / outbound information at a logistics center, and server means for automatically generating accounting entries from the inventory management and inbound / outbound information using the generation AI. This enables sole proprietors and small and medium-sized enterprises to easily perform accounting work within their logistics centers and achieve efficient and accurate accounting processing in conjunction with inventory management and inbound / outbound information.

[0564] A "user terminal" is an electronic device for a user to input information, and includes a personal computer, a smartphone, a tablet, or the like.

[0565] "Server means" refers to a computer system on a network that receives and processes information sent from a user terminal.

[0566] "Generative AI" is an artificial intelligence system that automatically generates accounting entries and financial statements based on input data.

[0567] "Business type" refers to the type and nature of the business conducted by a company or sole proprietor.

[0568] "Accounting policies" refer to the basic rules and policies regarding accounting procedures adopted by companies and sole proprietors.

[0569] The "account item master" is a database that manages a list of account items used in accounting processing and their detailed information.

[0570] "Transaction details" refers to information about specific economic activities such as buying and selling or providing services conducted by companies or individual business owners.

[0571] An "accounting entry" is a basic unit of accounting processing in which transactions are recorded using a double entry method based on specific account items.

[0572] "Excel Sheet" means a spreadsheet file used by Microsoft Excel or similar spreadsheet software.

[0573] A balance sheet is a financial statement that shows the status of a company's assets, liabilities, and capital at a given point in time.

[0574] An income statement is a financial statement that shows a company's revenues and expenses over a certain period of time.

[0575] A cash flow statement is a financial statement that shows a company's cash flow over a certain period of time.

[0576] "Inventory management" is the task of monitoring and managing the quantity and value of goods stored within a company or logistics center.

[0577] "Incoming and outgoing product information" is specific data related to the receipt (entry) and shipping (shipment) of products at the logistics center.

[0578] This invention is a system for enabling sole proprietors and small and medium-sized enterprises to efficiently carry out accounting work at their logistics centers. The system uses user terminals and server means to perform an integrated process from registering business types, accounting policies, and account item master data, to inputting transaction details, generating accounting entries, and automatically generating financial statements.

[0579] User terminal

[0580] First, a user terminal is prepared. A user terminal can be a PC, smartphone, or tablet, and the user uses it to input their company's business type, accounting policy, and account item master data. For example, the user might input a business type such as "retail" and an accounting policy such as "accrual basis." They also input account items such as "cash (101)" and "sales (401)." This information is sent to the server.

[0581] Server Means

[0582] The server receives the information on business type, accounting policy, and account item master data sent from the user terminal and stores it in the database of the generation AI. Based on this information, the generation AI prepares the basic data necessary to generate accounting entries.

[0583] Next, the user inputs the daily operations of the logistics center. Specifically, they input inventory management information and product inbound and outbound information from the user terminal. For example, if a product worth 1,000 yen arrives on December 1, 2023, they enter that information. This information is also sent to the server.

[0584] Transaction processing

[0585] The server automatically generates accounting entries from the entered transaction details using generation AI. The generated accounting entries are output to an Excel spreadsheet for user review. This Excel spreadsheet contains information such as dates, descriptions, amounts, and account codes.

[0586] The server then reads the content of the generated Excel spreadsheet and automatically generates a balance sheet, income statement, and cash flow statement based on this information. These financial statements are also output to Excel spreadsheets for user review and management accounting.

[0587] Hardware and software used

[0588] The system uses the following hardware and software:

[0589] Hardware: PCs, smartphones, tablets

[0590] Software: Python, pandas, openpyxl, Microsoft Excel

[0591] Specific examples

[0592] For example, if you enter the following information:

[0593] Business type: Retail

[0594] Accounting policy: accrual basis

[0595] Account Master: Cash (101), Sales (401)

[0596] Next, enter the transaction details for the distribution center as follows:

[0597] Date: December 1, 2023

[0598] Description: New product arrival

[0599] Price: 1,000 yen

[0600] Account code: 401

[0601] Based on this input information, the AI ​​generates accounting entries and automatically generates balance sheets, income statements, and cash flow statements. Examples of prompts are as follows:

[0602] Prompt Sentence Examples

[0603] User: Logistics Center

[0604] Accounting policy: accrual basis

[0605] Account Master: Cash (101), Sales (401)

[0606] Transaction details:

[0607] Date: December 1, 2023

[0608] Description: New product arrival

[0609] Price: 1,000 yen

[0610] Account code: 401

[0611] The above processing improves the efficiency of accounting operations in the operation of a logistics center, enabling managers to perform their work easily and accurately.

[0612] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0613] Step 1:

[0614] The user inputs their company's business type, accounting policy, and account item master data from the user terminal. This input data includes the business type (e.g., retail), accounting policy (e.g., accrual basis), and account items (e.g., cash (101), sales (401)). The terminal sends this input data to the server.

[0615] Step 2:

[0616] The server stores the information received from the terminal, including the business type, accounting policy, and account master data, in the generation AI database. This database holds the basic data required to generate accounting entries. Once stored, the data is used in subsequent processing.

[0617] Step 3:

[0618] The user enters the transaction details into a user terminal at the distribution center. The entered data includes the transaction date (e.g., December 1, 2023), description (e.g., new product arrival), amount (e.g., 1,000 yen), and account code (e.g., 401). The terminal then sends the transaction details to the server.

[0619] Step 4:

[0620] The server uses generation AI to automatically generate accounting entries from the received transaction details. The generation AI model derives appropriate accounting entries based on the stored business type, accounting policy, and account item master data. The generated entries are output in Excel sheet format. This Excel sheet contains information such as date, description, amount, and account item code.

[0621] Step 5:

[0622] The server reads the contents of the generated Excel sheet. Based on the transaction journal information, it automatically generates a balance sheet, income statement, and cash flow statement. These financial statements are also output in Excel sheet format. This data output allows the user to check the financial situation on a spreadsheet.

[0623] Step 6:

[0624] The user checks the generated accounting entries and financial statements through their terminal, opens an Excel spreadsheet on the terminal, checks whether the transaction details are accurately reflected, and makes corrections or additional entries as necessary.

[0625] Prompt Sentence Examples

[0626] User: Logistics Center

[0627] Accounting policy: accrual basis

[0628] Account Master: Cash (101), Sales (401)

[0629] Transaction details:

[0630] Date: December 1, 2023

[0631] Description: New product arrival

[0632] Price: 1,000 yen

[0633] Account code: 401

[0634] Through the above steps, accounting operations at the logistics center will be made more efficient, and by linking inventory management and product inbound and outbound information with accounting processing, accurate and prompt accounting operations will be realized.

[0635] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0636] This invention combines a system for enabling sole proprietors and small and medium-sized enterprises to efficiently perform accounting tasks with an emotion engine that recognizes the user's emotions. By using a user terminal, server means, and emotion engine, the system can consistently perform everything from registering a company's business type, accounting policy, and account item master data to inputting transaction details, generating accounting journal entries, automatically generating financial statements, and even providing feedback to the user.

[0637] First, the user terminal provides an input means for inputting the company's business type, accounting policy, and account item master. For example, the user inputs "retail" as the business type, "accrual basis" as the accounting policy, and "cash (101)" and "sales (401)" as the account items. In this way, the user provides the system with basic information about their company.

[0638] The server receives the information on business type, accounting policy, and account item master sent from the user terminal and stores it in the database of the generation AI. This allows the server to properly manage the input information and enable the generation AI to operate based on it.

[0639] Next, the user enters the details of the transaction that occurred into the user terminal. For example, if there was a sale of 1,000 yen on December 1, 2023, the user would enter the details of that transaction. In this way, the user provides specific transaction information to the system.

[0640] When entering transaction details, the user terminal acquires emotional information from the user's facial expressions, voice, etc., and sends it to the emotion engine. Based on this, the emotion engine analyzes the user's emotional state and sends it to the server means.

[0641] The server passes the received transaction information and emotion information to the AI ​​generator, which then automatically generates accounting entries. The generated accounting entries include the transaction date, description, amount, and related account code. Based on the emotion information, the AI ​​provides input assistance and encouraging messages to the user as needed.

[0642] The generated accounting entries are output to an Excel spreadsheet for user review, while the emotion engine takes into account the user's emotional information to provide feedback and flexibly adjust the review process.

[0643] The server then reads transaction journal information from the generated Excel spreadsheet and automatically generates balance sheets, income statements, and cash flow statements, each calculated and formed according to standard accounting principles.

[0644] The generated financial statements are also output as Excel sheets, which users can use for confirmation, blue tax return filing, and management accounting. The emotion engine monitors the user's emotions throughout this process and provides necessary support depending on the situation.

[0645] As a concrete example, suppose the user enters the following information:

[0646] Business type: Retail

[0647] Accounting policy: accrual basis

[0648] Account Master: Cash (101), Sales (401)

[0649] The transaction details entered by the user are as follows:

[0650] Date: December 1, 2023

[0651] Description: 1000 yen sales

[0652] Price: 1,000 yen

[0653] Account code: 401

[0654] If stress is detected from the user's facial expression when entering transaction details, the server will support the user by displaying a message such as "Please relax" based on the results of the emotion engine. The server outputs accounting entries generated based on the transaction details to an Excel spreadsheet so that the user can check them, and also automatically generates balance sheets, income statements, and cash flow statements and outputs them to Excel spreadsheets.

[0655] This allows users to manage accounting information efficiently and comfortably, and quickly generate appropriate financial statements. The addition of the emotion engine is expected to reduce the workload by providing support that takes into account the user's emotional state.

[0656] The processing flow will be explained below.

[0657] Step 1:

[0658] The user inputs the company's business type, accounting policy, and account title master. For example, the user inputs "retail" as the business type, "accrual basis" as the accounting policy, and "cash (101)" and "sales (401)" as the account titles. In this way, the user provides the system with basic information about their company.

[0659] Step 2:

[0660] The user terminal transmits the input information on the business type, accounting policy, and account title master to the server, which then receives the necessary initial setting information from the user.

[0661] Step 3:

[0662] The server stores the received information on business type, accounting policy, and account master data in the database of the generation AI.The server then uses this data to ensure that the generation AI has the basic data necessary to generate accounting entries.

[0663] Step 4:

[0664] The user inputs the details of the transaction that occurred into the user terminal. For example, if there was a sale of 1,000 yen on December 1, 2023, the user would input the details of that transaction. In this way, the user provides specific transaction information to the system.

[0665] Step 5:

[0666] The user terminal transmits the entered transaction details to the server. At the same time, the user terminal acquires the user's facial expressions and voice data as they are entering the information, and transmits this data to the emotion engine. This allows the server to simultaneously receive transaction information and emotion information from the user.

[0667] Step 6:

[0668] The emotion engine analyzes the received user's facial expressions and voice data to understand the user's emotional state. For example, it determines whether the user is feeling stressed or anxious. This emotional information is then sent to the server.

[0669] Step 7:

[0670] The server passes the received transaction information and emotion information to the AI ​​generator, which then automatically generates accounting entries. The generated accounting entries include the transaction date, description, amount, and related account code. Based on the emotion information, the AI ​​displays input assistance and encouraging messages to the user as needed.

[0671] Step 8:

[0672] The server outputs the generated accounting entries to an Excel spreadsheet, where the user can review the entries. The emotion engine monitors the user's emotional state and provides feedback.

[0673] Step 9:

[0674] The server reads the transaction journal information from the generated Excel sheet, which gives the server the data to use in the next step.

[0675] Step 10:

[0676] The server automatically generates balance sheets, income statements, and cash flow statements based on the journal entry information it reads. Each financial statement is calculated and created based on standard accounting principles.

[0677] Step 11:

[0678] The server outputs the generated balance sheet, income statement, and cash flow statement to a new Excel spreadsheet, allowing the user to view and use these financial statements.

[0679] Step 12:

[0680] Users can download the output financial statements and use them for blue tax returns or management accounting. The emotion engine monitors the user's emotions throughout this process and continues to provide necessary support depending on the situation. This allows users to easily carry out the necessary accounting tasks.

[0681] This process allows users to effectively manage accounting information and quickly generate appropriate financial statements, while also taking into account their emotional state during the process, providing support to reduce stress and anxiety.

[0682] Example 2

[0683] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0684] For today's sole proprietors and small and medium-sized enterprises, accounting work is extremely complex, time-consuming, and requires specialized knowledge. Small businesses, in particular, have limited resources and find it difficult to allocate significant time to accounting work. Furthermore, systems that do not take the user's psychological state into consideration can lead to stressful tasks and reduced productivity. Therefore, there is a need for a system that can perform accounting work simply and efficiently, while also providing support that takes the user's emotional state into consideration.

[0685] The specific processing by the specific processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes a user terminal means for inputting the company's business type, accounting policy, and account item master, a means for receiving the business type, accounting policy, and account item master input from the user terminal and storing them in a database, a user terminal means for inputting transaction details, a means for receiving the transaction details and emotional information input from the user terminal, performing emotional analysis using an emotion engine, automatically generating accounting journal entries based on a generation AI, and outputting them to an Excel spreadsheet, and a means for reading transaction journal information from the Excel spreadsheet and automatically generating a balance sheet, income statement, and cash flow statement. This enables the efficiency and streamlining of accounting work, and is expected to reduce the workload and improve productivity by providing feedback according to the user's emotional state.

[0686] A "user terminal" is an input device that allows a user to input business type, accounting policy, account item master, and transaction details.

[0687] The "server means" is a computing device that receives and stores information input from a user terminal and executes the necessary processing.

[0688] An "emotion engine" is software that analyzes a user's facial expressions and voice data to determine their emotional state.

[0689] "Generative AI" is an artificial intelligence technology that automatically generates accounting entries based on information provided by the user.

[0690] An "Excel sheet" is a spreadsheet software sheet that visually displays generated accounting entries and financial statements.

[0691] "Accounting entries" are information used to record accounting information based on transaction details.

[0692] "Financial statements" means documents that show the financial position and business performance of a company, and include balance sheets, income statements, and cash flow statements.

[0693] This invention combines a system for enabling sole proprietors and small and medium-sized enterprises to efficiently perform accounting tasks with an emotion engine that recognizes the user's emotions. By using a user terminal, server means, and emotion engine, the system can consistently perform everything from registering a company's business type, accounting policy, and account item master data to inputting transaction details, generating accounting journal entries, automatically generating financial statements, and even providing feedback to the user.

[0694] First, the user terminal takes the form of a personal computer or smartphone, and provides an input means for the user to enter their company's business type, accounting policy, and account item master data. For example, the user enters "retail" as the business type, "accrual basis" as the accounting policy, and "cash (101)" and "sales (401)" as account items. In this way, the user provides the system with basic information about their company.

[0695] The server means is implemented on a cloud server (e.g., AWS or Google Cloud), receives information on business type, accounting policy, and account item master data sent from the user terminal, and stores it in a database. This allows the server to properly manage the input information and enable the generation AI to operate based on it. For example, the stored business type information and accounting policy information are used in subsequent accounting processing.

[0696] Next, the user enters the details of the transaction that occurred into the user terminal. For example, if there was a sale of 1,000 yen on December 1, 2023, the user would enter the details of that transaction. In this way, the user provides specific transaction information to the system.

[0697] When entering transaction details, the user device acquires emotional information from the user's facial expressions and voice, and sends it to the emotion engine. The emotion engine uses Microsoft Azure's Cognitive Services and Google Cloud's Natural Language API to analyze the user's emotional state and send it to the server.

[0698] The server passes the received transaction information and emotion information to the generation AI, which then automatically generates accounting entries. The generated accounting entries include the transaction date, description, amount, and related account code. Based on the emotion information, the server provides input assistance and encouraging messages to the user as needed. For example, if the user is feeling stressed, the message "Relax" is displayed.

[0699] The generated accounting entries are output to an Excel spreadsheet for user review, while the emotion engine takes into account the user's emotional information to provide feedback and flexibly adjust the review process.

[0700] The server then reads transaction journal information from the generated Excel spreadsheet and automatically generates balance sheets, income statements, and cash flow statements, each calculated and formed according to standard accounting principles.

[0701] The generated financial statements are also output as Excel sheets, which users can use for confirmation, blue tax return filing, and management accounting. The emotion engine monitors the user's emotions throughout this process and provides necessary support depending on the situation.

[0702] As a concrete example, suppose the user enters the following information:

[0703] Business type: Retail

[0704] Accounting policy: accrual basis

[0705] Account Master: Cash (101), Sales (401)

[0706] The transaction details entered by the user are as follows:

[0707] Date: December 1, 2023

[0708] Description: 1000 yen sales

[0709] Price: 1,000 yen

[0710] Account code: 401

[0711] If stress is detected from the user's facial expression when entering transaction details, the server will support the user by displaying a message such as "Please relax" based on the results of the emotion engine. The server outputs accounting entries generated based on the transaction details to an Excel spreadsheet so that the user can check them, and also automatically generates balance sheets, income statements, and cash flow statements and outputs them to Excel spreadsheets.

[0712] An example prompt is:

[0713] The user selected "Retail" as the business type and "Accrual basis" as the accounting policy, and set "Cash (101)" and "Sales (401)" as the account item master.

[0714] Generate accounting entries based on the following transactions:

[0715] Date: December 1, 2023

[0716] Description: 1000 yen sales

[0717] Price: 1000 yen

[0718] Account Code: 401

[0719] Also, the emotion engine detected stress when the user typed, so display the message "Relax."

[0720] This system allows users to perform accounting tasks efficiently, and the support provided by the emotion engine reduces the workload.

[0721] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0722] Step 1: Enter basic user information

[0723] The user enters their company's business type, accounting policy, and account item master data into the user terminal. For example, they enter "retail," "accrual basis," "cash (101)," and "sales (401)." The entered information is sent to the server by pressing the send button. Input: business type, accounting policy, account item master data. Output: the entered information is sent to the server as data.

[0724] Step 2: Send and store data

[0725] The terminal sends the information entered by the user on the business type, accounting policy, and account master to the server. The server saves the received data in the database. This ensures that the entered information is properly managed in the database. Input: Information sent from the user terminal. Output: Saved database entry.

[0726] Step 3: Enter your transaction details

[0727] The user enters the details of the transaction that occurred into the user terminal. For example, the transaction details are "December 1, 2023," sales of 1,000 yen, and "401." The entered information is sent to the server. Input: Transaction date, transaction description, transaction amount, account code. Output: The entered transaction details are sent to the server.

[0728] Step 4: Sentiment Analysis and Feedback

[0729] When entering transaction details, the terminal obtains emotional information from the user's facial expressions and voice and sends it to the emotion engine. The emotion engine analyzes this information and sends the user's emotional state to the server. The server generates a feedback message based on the emotional state and displays it on the user's terminal. For example, if the user is feeling stressed, a message saying "Please relax" is displayed. Input: facial expression data, voice data. Output: emotional state analysis results, feedback message.

[0730] Step 5: Automatic journal generation

[0731] The server passes transaction information and sentiment information to the generation AI. The generation AI automatically generates accounting entries based on this information and returns the results to the server. The generated accounting entries include the transaction date, description, amount, and related account code. Input: Transaction information, sentiment information. Output: Generated accounting entry data.

[0732] Step 6: Check and print journal information

[0733] The server automatically outputs the generated accounting entry information to an Excel spreadsheet. The created Excel spreadsheet is sent to the user's terminal so that the user can check it. Input: Generated accounting entry data. Output: Excel spreadsheet file.

[0734] Step 7: Auto-generate financial statements

[0735] The server reads transaction journal information from the generated Excel sheet and automatically generates balance sheets, income statements, and cash flow statements. The generated financial statements are output to new Excel sheets so that users can check and use them. Input: Excel sheet containing journal information. Output: Excel sheet files containing balance sheets, income statements, and cash flow statements.

[0736] For example, when a user inputs "Retail," "Accrual basis," "Cash (101)," and "Sales (401)," and then enters "December 1, 2023," "Sales of 1,000 yen," and "401" as transaction details, the emotion engine detects the user's stress. The message "Please relax" is displayed, and then accounting entries and financial statements are generated and output to an Excel spreadsheet.

[0737] (Application example 2)

[0738] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0739] Conventional accounting systems require users to manually input a large amount of accounting information on a daily basis, which often results in input errors and complication of work. Furthermore, the lack of support that takes into account the user's emotional state creates issues that lead to stress and fatigue. Furthermore, the lack of a system for efficiently processing and checking accounting information often places a heavy burden on small and medium-sized enterprises and sole proprietors.

[0740] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0741] In this invention, the server includes an information input device means for inputting the company's business type, accounting policy, and account title master, an integrated monitoring device means for receiving the business type, accounting policy, and account title master input from the information input device and storing them in the memory device of the generation AI, and an information input device means for inputting transaction details. This makes it possible to process accounting information efficiently and accurately and automatically generate financial statements while providing feedback that takes into account the user's emotional state.

[0742] The "information input device" is a device that allows a user to input information about the company's business type, accounting policy, account item master, and transaction details.

[0743] The "integrated monitoring device" is a device that receives data input from the information input device, stores it in the memory device of the generation AI, automatically generates accounting entries, and outputs them to a spreadsheet software sheet.

[0744] "Generative AI" is an artificial intelligence that generates accounting entries based on information entered by the user and automatically creates financial statements.

[0745] A "memory device" is a device for storing data necessary for the generation AI to operate.

[0746] An "emotion recognition device" is a device that acquires emotional information from a user's facial expressions and voice and analyzes their emotional state.

[0747] The "emotion feedback device" is a device that provides feedback to a user based on the emotion information analyzed by the emotion recognition device.

[0748] A "voice recognition device" is a device for converting a user's voice input into text data.

[0749] The "image capture device" is a camera device for capturing the user's facial expression.

[0750] A "spreadsheet software sheet" is a sheet of spreadsheet software on which accounting entries and financial statements are output and which the user can check.

[0751] This invention provides a system for streamlining checkout procedures in brick-and-mortar stores and providing support by taking into account the user's emotional state. The system uses an information input device, an integrated monitoring device, an emotion recognition device, an emotion feedback device, a voice recognition device, and an image capture device. Specific embodiments of the system are described below.

[0752] 1. Information input device

[0753] The information input device is a device for users to input accounting information, and corresponds to a mobile terminal such as a smartphone. The user inputs their company's business type, accounting policy, account item master, and transaction details through the information input device.

[0754] 2. Integrated monitoring device

[0755] The integrated monitoring device receives input accounting information, stores it in a memory device using generative AI, automatically generates accounting entries, and outputs them to a spreadsheet software. Specifically, this role is played by a server. The server analyzes the input information and automatically generates financial statements using a generative AI model that generates accounting entries.

[0756] 3. Emotion recognition device

[0757] The emotion recognition device is a device that analyzes a user's facial expressions and voice to acquire emotional information. This device includes a camera as an image acquisition device and a microphone as a voice recognition device. The emotion recognition device analyzes the user's emotional state based on the acquired facial and voice data and transmits the results to the integrated monitoring device.

[0758] 4. Emotional Feedback Device

[0759] The emotion feedback device is a device that provides feedback to a user based on emotion information analyzed by an emotion recognition device. For example, if the user is feeling stressed, it displays a message saying, "Please relax."

[0760] 5. Spreadsheet software sheet

[0761] The spreadsheet software is a sheet on which the generated accounting entries and financial statements are output, allowing the user to check the accounting information and make any necessary corrections or management.

[0762] Examples:

[0763] The user uses the information input device to input the following information:

[0764] Business type: Retail

[0765] Accounting policy: accrual basis

[0766] Account Master: Cash (101), Sales (401)

[0767] The deal is as follows:

[0768] Date: December 1, 2023

[0769] Description: 1000 yen sales

[0770] Price: 1,000 yen

[0771] Account code: 401

[0772] If the image capture device detects stress from the user's facial expression when entering transaction details, the emotion feedback device displays the message, "Please relax." The server outputs accounting entries generated based on the transaction details to a spreadsheet software, and also automatically generates balance sheets, income statements, and cash flow statements and outputs them to the spreadsheet software.

[0773] Example prompt sentence:

[0774] "Receive money December 1, 2023 1,000 yen"

[0775] "Expenses: December 1, 2023, transportation costs: 500 yen"

[0776] This allows users to efficiently manage accounting information and quickly generate appropriate financial statements using generative AI models. The addition of an emotion recognition device provides support that takes into account the user's emotional state, reducing the workload.

[0777] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0778] Step 1:

[0779] The user uses an information input device (smartphone or tablet) to input their company's business type, accounting policy, and account item master data. At this time, the user fills in the information according to the input form and presses the send button. The input includes data on "business type," "accounting policy," and "account item master data," and each data is sent to the server. The output is the company's basic information stored on the server.

[0780] Step 2:

[0781] The server receives the above information and stores it in the Generator AI's memory device. Specifically, the server analyzes the data on business type, accounting policy, and account master, and registers it in the Generator AI's database. This allows the user's basic accounting information to be managed. The input is the data on "business type," "accounting policy," and "account master" sent by the user, and the output is the data stored in the Generator AI's database.

[0782] Step 3:

[0783] The user can use the information input device to manually input the transaction details or use a voice recognition device to input the details by voice, for example, by using a prompt such as "Receive money December 1, 2023, 1,000 yen." The input is the specific data of the transaction details, and the output is the transaction input data generated by the information input device.

[0784] Step 4:

[0785] The video capture device (camera) and voice recognition device (microphone) capture the user's facial expressions and voice and send them to the emotion recognition device. The emotion recognition device analyzes the user's emotional state based on this data. The input is the user's facial expression data and voice data, and the output is analyzed emotional information.

[0786] Step 5:

[0787] The server analyzes the transaction details received from the information input device and the emotional information received from the emotion recognition device. The generation AI automatically generates accounting entries based on this data. The input is the transaction details and emotional information, and the output is the generated accounting entry data.

[0788] Step 6:

[0789] The generated accounting journal data is output to a spreadsheet software sheet so that the user can check it. The server displays this sheet to the user and prompts them to make corrections or add additional information as necessary. The input is the accounting journal data, and the output is the journal information displayed on the spreadsheet software sheet.

[0790] Step 7:

[0791] The server reads transaction journal information from a spreadsheet software sheet and automatically generates a balance sheet, income statement, and cash flow statement. The generated financial statements are also output to the spreadsheet software sheet so that the user can check and manage them. The input is the journal information read from the spreadsheet software sheet, and the output is the newly generated financial statements.

[0792] Step 8:

[0793] The emotion feedback device provides appropriate feedback to the user based on the emotion information from the emotion recognition device. For example, if the user is feeling stressed, a message saying "Please relax" is displayed. The input is the analyzed emotion information, and the output is a feedback message.

[0794] These processing steps enable the system of the present invention to provide support that takes into account the user's emotional state while allowing the user to efficiently manage their accounting information.

[0795] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0796] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0797] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0798] [Third embodiment]

[0799] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0800] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0801] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0802] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0803] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0804] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0805] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0806] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0807] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0808] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0809] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0810] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0811] This invention is a system for enabling sole proprietors and small and medium-sized enterprises to efficiently carry out accounting work. By using user terminals and server means, the system can perform an integrated process from registering the company's business type, accounting policy, and account item master data to inputting transaction details, generating accounting entries, and automatically generating financial statements.

[0812] First, the user terminal provides an input means for inputting the company's business type, accounting policy, and account item master. For example, the user inputs a business type such as "retail business," an accounting policy such as "accrual basis," and account items such as "cash (101)" and "sales (401)." The terminal also has a function for transmitting this information to the server.

[0813] The server receives the information on business type, accounting policy, and account item master data sent from the user terminal and stores it in the database of the generation AI. The generation AI prepares the basic data necessary to generate accounting entries based on this information.

[0814] Next, the user enters the transaction details into the user terminal. For example, if a sale of 1,000 yen occurs on December 1, 2023, the user enters the transaction details. This information is also sent to the server. The server uses generation AI to automatically generate accounting entries from the entered transaction details. The generated accounting entries are output to an Excel spreadsheet so that the user can check them. This Excel spreadsheet contains information such as the date, description, amount, and account code.

[0815] The server then reads the contents of the generated Excel spreadsheet and automatically generates balance sheets, income statements, and cash flow statements based on this information. These financial statements are then output to new Excel spreadsheets so that users can review them and use them for blue tax return filing and management accounting.

[0816] As a concrete example, suppose the user enters the following information:

[0817] Business type: Retail

[0818] Accounting policy: accrual basis

[0819] Account Master: Cash (101), Sales (401)

[0820] Next, the user enters the following transaction:

[0821] Date: December 1, 2023

[0822] Description: 1000 yen sales

[0823] Price: 1,000 yen

[0824] Account code: 401

[0825] The server generates accounting entries based on the transaction details and outputs them to an Excel spreadsheet. For example, the following entries are generated:

[0826] Date: December 1, 2023

[0827] Account: Sales

[0828] Debit amount: 1000 yen

[0829] Credit amount: 0 yen

[0830] From this journal entry information, the server then automatically generates a balance sheet, income statement, and cash flow statement. The generated financial statements are also output as Excel sheets. Users can use this information to efficiently file blue tax returns and perform management accounting.

[0831] By using this system, users can easily perform complex accounting tasks, saving time and effort.

[0832] The processing flow will be explained below.

[0833] Step 1:

[0834] The user inputs the company's business type, accounting policy, and account title master. For example, the user inputs "retail" as the business type, "accrual basis" as the accounting policy, and "cash (101)" and "sales (401)" as the account titles. In this way, the user provides the system with basic information about their company.

[0835] Step 2:

[0836] The user terminal transmits the input information on the business type, accounting policy, and account title master to the server, which then receives the necessary initial setting information from the user.

[0837] Step 3:

[0838] The server stores the received information on business type, accounting policy, and account master data in the database of the generation AI. In this case, the server appropriately structures the input information so that the AI ​​can operate based on it.

[0839] Step 4:

[0840] The user inputs the details of the transaction that occurred into the user terminal. For example, if there was a sale of 1,000 yen on December 1, 2023, the user would input the details of that transaction. In this way, the user provides specific transaction information to the system.

[0841] Step 5:

[0842] The user terminal transmits the entered transaction details to the server, which then receives the transaction information from the user.

[0843] Step 6:

[0844] The server passes the received transaction information to the generation AI, which automatically generates accounting entries, including the transaction date, description, amount, and related account code.

[0845] Step 7:

[0846] The server outputs the generated accounting information to an Excel spreadsheet, at which point the user can check the contents of the journal entries.

[0847] Step 8:

[0848] The server reads the transaction journal information from the generated Excel sheet, which gives the server the data to use in the next step.

[0849] Step 9:

[0850] The server automatically generates balance sheets, income statements, and cash flow statements based on the journal entry information it reads. Each financial statement is calculated and created based on standard accounting principles.

[0851] Step 10:

[0852] The server outputs the generated balance sheet, income statement, and cash flow statement to a new Excel spreadsheet, allowing the user to view and use these financial statements.

[0853] Step 11:

[0854] Users can download the output financial statements and use them for blue tax return filing and management accounting, allowing them to easily carry out the necessary accounting tasks.

[0855] This process allows users to effectively manage accounting information and quickly generate appropriate financial statements.

[0856] Example 1

[0857] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0858] Many small and medium-sized enterprises and sole proprietors must devote a great deal of time and effort to accounting work. In particular, the process of converting daily transaction data into accounting entries and preparing financial statements is complex and often requires specialized knowledge. However, many systems that streamline these tasks are expensive and often difficult to implement and operate. For this reason, there is a demand for systems that can perform accounting work efficiently and easily.

[0859] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0860] In this invention, the server includes a user terminal for inputting the company's business type, accounting policy, and account item master, means for receiving the business type, accounting policy, and account item master input from the user terminal and storing them in a database of a generation AI, a user terminal for inputting transaction details, means for receiving the transaction details input from the user terminal and automatically generating accounting journal entries using a generation AI model and outputting them to an Excel spreadsheet, and means for reading transaction journal information from the Excel spreadsheet and automatically generating a balance sheet, income statement, and cash flow statement, thereby enabling the automation and efficiency of accounting work.

[0861] A "user terminal" is an electronic device that allows a user to input information such as business type, accounting policy, account item master, and transaction details.

[0862] The "server" is a computer that receives information sent from the user's terminal, stores it in the generation AI's database, and then generates accounting entries and financial statements based on the transaction data.

[0863] A "generative AI model" is an artificial intelligence algorithm that analyzes data entered by a user and automatically generates appropriate accounting entries.

[0864] An "accounting entry" is an accounting record generated based on a transaction and assigning an amount to a specific account.

[0865] An "Excel sheet" is a file format available in Microsoft Excel and other spreadsheet software that is a table used to visually display accounting entries and financial statements.

[0866] A balance sheet is an accounting statement that summarizes a company's assets, liabilities, and capital position at a particular point in time.

[0867] An "income statement" is an accounting statement that shows a company's revenues, expenses, and net income for a particular period.

[0868] A "cash flow statement" is an accounting report that shows a company's flow of cash receipts and expenditures over a specific period of time, revealing the company's cash position.

[0869] The "account item master" is a list of standard account items that a company uses to create accounting entries.

[0870] "Business type" is a classification that indicates the type and nature of a company's business activities. Examples include retail, manufacturing, and services.

[0871] "Accounting policies" are the financial reporting standards and guidelines adopted by a company, such as accrual basis or cash basis.

[0872] This invention is a system for enabling sole proprietors and small and medium-sized enterprises to efficiently carry out accounting work. Using user terminals and a server, the system can perform all steps in an integrated manner, from registering the company's business type, accounting policy, and account item master data, to inputting transaction details, generating accounting entries, and automatically generating financial statements.

[0873] First, the user terminal provides an input means for entering the company's business type, accounting policy, and account item master. Specifically, the user selects from drop-down lists such as "retail" or "accrual basis," and enters account items such as "cash (101)" or "sales (401)" in the text boxes. This information is sent from the user terminal to the server. HTTPS communication is used for transmission, ensuring secure data transfer.

[0874] Next, the server saves the received data on business type, accounting policy, and account master data in the generation AI database. The generation AI then prepares to automatically generate accounting entries based on this basic data. To save the data, it uses database operations such as SQL INSERT statements.

[0875] Next, the user enters the transaction details into the user device. For example, if there is a sale of 1,000 yen on December 1, 2023, the user enters the transaction details into the user device. This information is also sent to the server via HTTPS communication. The server passes the received transaction data to the generative AI model, which automatically generates accounting entries. The generative AI model uses an algorithm for creating journal entries, for example, via an API call.

[0876] The generated accounting entries are output by the server to an Excel spreadsheet using an Excel generation library (e.g., Apache POI or Python's openpyxl) to visually display the accounting data, and the server then sends the generated Excel spreadsheet to the user's device and provides a link that allows the user to download and view the Excel spreadsheet.

[0877] Furthermore, the server automatically generates balance sheets, income statements, and cash flow statements based on the contents of the Excel spreadsheet. This process uses a generative AI model. The generated financial statements are also output as new Excel spreadsheets and provided to the user. Users can use these to file blue tax returns or for management accounting.

[0878] Examples:

[0879] The user enters the following information:

[0880] Business type: Retail

[0881] Accounting policy: accrual basis

[0882] Account Master: Cash (101), Sales (401)

[0883] Next, the user enters the following information for the transaction:

[0884] Date: December 1, 2023

[0885] Description: 1000 yen sales

[0886] Price: 1,000 yen

[0887] Account code: 401

[0888] The server generates accounting entries based on the transaction details and outputs them to an Excel spreadsheet. For example, the following entries are generated:

[0889] Date: December 1, 2023

[0890] Account: Sales

[0891] Debit amount: 1000 yen

[0892] Credit amount: 0 yen

[0893] An example prompt is:

[0894] "Using your accounting system, generate accounting entries based on retail sales of 1,000 yen on December 1, 2023, and output them to an Excel spreadsheet. Then, use this journal entry data to generate a balance sheet and income statement."

[0895] By using this system, users can perform accounting tasks easily and quickly, saving time and effort.

[0896] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0897] Step 1:

[0898] The user terminal provides a form for entering the company's business type, accounting policy, and account item master data. The entered information includes business type and accounting policy such as "retail" and "accrual basis," as well as account items such as "cash (101)" and "sales (401)." The user enters this information and clicks the submit button. The entered data is sent to the server via HTTPS communication.

[0899] input:

[0900] Business type, accounting policy, account item master

[0901] output:

[0902] User data sent to the server

[0903] Specific behavior:

[0904] The user fills in the form and clicks the submit button.

[0905] Step 2:

[0906] The server verifies the received information on business type, accounting policy, and account master, and saves it in the database of the generated AI. To save the data, it uses the SQL INSERT statement to create the appropriate record in the database.

[0907] input:

[0908] Business type, accounting policy, and account item master data sent from the user terminal

[0909] output:

[0910] Data stored in the generative AI database

[0911] Specific behavior:

[0912] The server validates the data and executes an SQL INSERT statement to save it to the database.

[0913] Step 3:

[0914] The user displays a form on their terminal to input transaction details. They enter the transaction date, description, amount, and account code, and click the submit button. For example, if a sale of 1,000 yen occurs on December 1, 2023, they enter the transaction details. This information is also sent to the server.

[0915] input:

[0916] Transaction details (e.g., date, description, amount, account code)

[0917] output:

[0918] Transaction data sent to the server

[0919] Specific behavior:

[0920] The user enters the transaction details into the form and clicks the submit button.

[0921] Step 4:

[0922] The server passes the received transaction data to the generative AI model and requests it to automatically generate accounting entries. The generative AI model analyzes the transaction data and generates the appropriate accounting entries. This process involves passing the data to the generative AI model via an HTTP API call.

[0923] input:

[0924] Transaction data sent from the user device

[0925] output:

[0926] Generated accounting data

[0927] Specific behavior:

[0928] The server calls the API of the generated AI model, passes the transaction data, and generates accounting entries.

[0929] Step 5:

[0930] The server outputs the generated accounting entries to an Excel spreadsheet. Using an Excel generation library (such as Apache POI or Python's openpyxl), a journal table is created containing information such as date, description, amount, and account code. The generated Excel spreadsheet is sent to the user's device and a download link is provided.

[0931] input:

[0932] Generated accounting data

[0933] output:

[0934] Accounting journal data in Excel format

[0935] Specific behavior:

[0936] The server uses an Excel generation library to create a journal entry table and provides it to the user.

[0937] Step 6:

[0938] The server reads the journal information output to an Excel spreadsheet and automatically generates a balance sheet, income statement, and cash flow statement based on this information using a generative AI model. The generated financial statements are also output as Excel spreadsheets and provided to the user.

[0939] input:

[0940] Accounting journal data in Excel format

[0941] output:

[0942] Financial statements in Excel format

[0943] Specific behavior:

[0944] The server uses the generative AI model to automatically generate financial statements and output them as Excel sheets.

[0945] This series of steps allows the user to perform accounting tasks efficiently and easily.

[0946] (Application example 1)

[0947] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0948] With conventional accounting systems, sole proprietors and small and medium-sized enterprises manually create accounting entries and financial statements, which takes time and effort and is prone to errors. Furthermore, it is difficult to link inventory management and product inbound and outbound information at logistics centers with the accounting system, hindering efficient business operations. This has created a need for improved efficiency and accuracy in complex accounting operations.

[0949] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0950] In this invention, the server includes a user terminal for inputting the company's business type, accounting policy, and account item master data, server means for receiving the business type, accounting policy, and account item master data input from the user terminal and saving them in a database of a generation AI, a user terminal for inputting transaction details, server means for receiving the transaction details input from the user terminal, automatically generating accounting entries and outputting them to an Excel spreadsheet, server means for reading transaction entry information from the Excel spreadsheet and automatically generating a balance sheet, income statement, and cash flow statement, a user terminal for inputting inventory management and product inbound / outbound information at a logistics center, and server means for automatically generating accounting entries from the inventory management and inbound / outbound information using the generation AI. This enables sole proprietors and small and medium-sized enterprises to easily perform accounting work within their logistics centers and achieve efficient and accurate accounting processing in conjunction with inventory management and inbound / outbound information.

[0951] A "user terminal" is an electronic device for a user to input information, and includes a personal computer, a smartphone, a tablet, or the like.

[0952] "Server means" refers to a computer system on a network that receives and processes information sent from a user terminal.

[0953] "Generative AI" is an artificial intelligence system that automatically generates accounting entries and financial statements based on input data.

[0954] "Business type" refers to the type and nature of the business conducted by a company or sole proprietor.

[0955] "Accounting policies" refer to the basic rules and policies regarding accounting procedures adopted by companies and sole proprietors.

[0956] The "account item master" is a database that manages a list of account items used in accounting processing and their detailed information.

[0957] "Transaction details" refers to information about specific economic activities such as buying and selling or providing services conducted by companies or individual business owners.

[0958] An "accounting entry" is a basic unit of accounting processing in which transactions are recorded using a double entry method based on specific account items.

[0959] "Excel Sheet" means a spreadsheet file used by Microsoft Excel or similar spreadsheet software.

[0960] A balance sheet is a financial statement that shows the status of a company's assets, liabilities, and capital at a given point in time.

[0961] An income statement is a financial statement that shows a company's revenues and expenses over a certain period of time.

[0962] A cash flow statement is a financial statement that shows a company's cash flow over a certain period of time.

[0963] "Inventory management" is the task of monitoring and managing the quantity and value of goods stored within a company or logistics center.

[0964] "Incoming and outgoing product information" is specific data related to the receipt (entry) and shipping (shipment) of products at the logistics center.

[0965] This invention is a system for enabling sole proprietors and small and medium-sized enterprises to efficiently carry out accounting work at their logistics centers. The system uses user terminals and server means to perform an integrated process from registering business types, accounting policies, and account item master data, to inputting transaction details, generating accounting entries, and automatically generating financial statements.

[0966] User terminal

[0967] First, a user terminal is prepared. A user terminal can be a PC, smartphone, or tablet, and the user uses it to input their company's business type, accounting policy, and account item master data. For example, the user might input a business type such as "retail" and an accounting policy such as "accrual basis." They also input account items such as "cash (101)" and "sales (401)." This information is sent to the server.

[0968] Server Means

[0969] The server receives the information on business type, accounting policy, and account item master data sent from the user terminal and stores it in the database of the generation AI. Based on this information, the generation AI prepares the basic data necessary to generate accounting entries.

[0970] Next, the user inputs the daily operations of the logistics center. Specifically, they input inventory management information and product inbound and outbound information from the user terminal. For example, if a product worth 1,000 yen arrives on December 1, 2023, they enter that information. This information is also sent to the server.

[0971] Transaction processing

[0972] The server automatically generates accounting entries from the entered transaction details using generation AI. The generated accounting entries are output to an Excel spreadsheet for user review. This Excel spreadsheet contains information such as dates, descriptions, amounts, and account codes.

[0973] The server then reads the content of the generated Excel spreadsheet and automatically generates a balance sheet, income statement, and cash flow statement based on this information. These financial statements are also output to Excel spreadsheets for user review and management accounting.

[0974] Hardware and software used

[0975] The system uses the following hardware and software:

[0976] Hardware: PCs, smartphones, tablets

[0977] Software: Python, pandas, openpyxl, Microsoft Excel

[0978] Specific examples

[0979] For example, if you enter the following information:

[0980] Business type: Retail

[0981] Accounting policy: accrual basis

[0982] Account Master: Cash (101), Sales (401)

[0983] Next, enter the transaction details for the distribution center as follows:

[0984] Date: December 1, 2023

[0985] Description: New product arrival

[0986] Price: 1,000 yen

[0987] Account code: 401

[0988] Based on this input information, the AI ​​generates accounting entries and automatically generates balance sheets, income statements, and cash flow statements. Examples of prompts are as follows:

[0989] Prompt Sentence Examples

[0990] User: Logistics Center

[0991] Accounting policy: accrual basis

[0992] Account Master: Cash (101), Sales (401)

[0993] Transaction details:

[0994] Date: December 1, 2023

[0995] Description: New product arrival

[0996] Price: 1,000 yen

[0997] Account code: 401

[0998] The above processing improves the efficiency of accounting operations in the operation of a logistics center, enabling managers to perform their work easily and accurately.

[0999] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1000] Step 1:

[1001] The user inputs their company's business type, accounting policy, and account item master data from the user terminal. This input data includes the business type (e.g., retail), accounting policy (e.g., accrual basis), and account items (e.g., cash (101), sales (401)). The terminal sends this input data to the server.

[1002] Step 2:

[1003] The server stores the information received from the terminal, including the business type, accounting policy, and account master data, in the generation AI database. This database holds the basic data required to generate accounting entries. Once stored, the data is used in subsequent processing.

[1004] Step 3:

[1005] The user enters the transaction details into a user terminal at the distribution center. The entered data includes the transaction date (e.g., December 1, 2023), description (e.g., new product arrival), amount (e.g., 1,000 yen), and account code (e.g., 401). The terminal then sends the transaction details to the server.

[1006] Step 4:

[1007] The server uses generation AI to automatically generate accounting entries from the received transaction details. The generation AI model derives appropriate accounting entries based on the stored business type, accounting policy, and account item master data. The generated entries are output in Excel sheet format. This Excel sheet contains information such as date, description, amount, and account item code.

[1008] Step 5:

[1009] The server reads the contents of the generated Excel sheet. Based on the transaction journal information, it automatically generates a balance sheet, income statement, and cash flow statement. These financial statements are also output in Excel sheet format. This data output allows the user to check the financial situation on a spreadsheet.

[1010] Step 6:

[1011] The user checks the generated accounting entries and financial statements through their terminal, opens an Excel spreadsheet on the terminal, checks whether the transaction details are accurately reflected, and makes corrections or additional entries as necessary.

[1012] Prompt Sentence Examples

[1013] User: Logistics Center

[1014] Accounting policy: accrual basis

[1015] Account Master: Cash (101), Sales (401)

[1016] Transaction details:

[1017] Date: December 1, 2023

[1018] Description: New product arrival

[1019] Price: 1,000 yen

[1020] Account code: 401

[1021] Through the above steps, accounting operations at the logistics center will be made more efficient, and by linking inventory management and product inbound and outbound information with accounting processing, accurate and prompt accounting operations will be realized.

[1022] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1023] This invention combines a system for enabling sole proprietors and small and medium-sized enterprises to efficiently perform accounting tasks with an emotion engine that recognizes the user's emotions. By using a user terminal, server means, and emotion engine, the system can consistently perform everything from registering a company's business type, accounting policy, and account item master data to inputting transaction details, generating accounting journal entries, automatically generating financial statements, and even providing feedback to the user.

[1024] First, the user terminal provides an input means for inputting the company's business type, accounting policy, and account item master. For example, the user inputs "retail" as the business type, "accrual basis" as the accounting policy, and "cash (101)" and "sales (401)" as the account items. In this way, the user provides the system with basic information about their company.

[1025] The server receives the information on business type, accounting policy, and account item master sent from the user terminal and stores it in the database of the generation AI. This allows the server to properly manage the input information and enable the generation AI to operate based on it.

[1026] Next, the user enters the details of the transaction that occurred into the user terminal. For example, if there was a sale of 1,000 yen on December 1, 2023, the user would enter the details of that transaction. In this way, the user provides specific transaction information to the system.

[1027] When entering transaction details, the user terminal acquires emotional information from the user's facial expressions, voice, etc., and sends it to the emotion engine. Based on this, the emotion engine analyzes the user's emotional state and sends it to the server means.

[1028] The server passes the received transaction information and emotion information to the AI ​​generator, which then automatically generates accounting entries. The generated accounting entries include the transaction date, description, amount, and related account code. Based on the emotion information, the AI ​​provides input assistance and encouraging messages to the user as needed.

[1029] The generated accounting entries are output to an Excel spreadsheet for user review, while the emotion engine takes into account the user's emotional information to provide feedback and flexibly adjust the review process.

[1030] The server then reads transaction journal information from the generated Excel spreadsheet and automatically generates balance sheets, income statements, and cash flow statements, each calculated and formed according to standard accounting principles.

[1031] The generated financial statements are also output as Excel sheets, which users can use for confirmation, blue tax return filing, and management accounting. The emotion engine monitors the user's emotions throughout this process and provides necessary support depending on the situation.

[1032] As a concrete example, suppose the user enters the following information:

[1033] Business type: Retail

[1034] Accounting policy: accrual basis

[1035] Account Master: Cash (101), Sales (401)

[1036] The transaction details entered by the user are as follows:

[1037] Date: December 1, 2023

[1038] Description: 1000 yen sales

[1039] Price: 1,000 yen

[1040] Account code: 401

[1041] If stress is detected from the user's facial expression when entering transaction details, the server will support the user by displaying a message such as "Please relax" based on the results of the emotion engine. The server outputs accounting entries generated based on the transaction details to an Excel spreadsheet so that the user can check them, and also automatically generates balance sheets, income statements, and cash flow statements and outputs them to Excel spreadsheets.

[1042] This allows users to manage accounting information efficiently and comfortably, and quickly generate appropriate financial statements. The addition of the emotion engine is expected to reduce the workload by providing support that takes into account the user's emotional state.

[1043] The processing flow will be explained below.

[1044] Step 1:

[1045] The user inputs the company's business type, accounting policy, and account title master. For example, the user inputs "retail" as the business type, "accrual basis" as the accounting policy, and "cash (101)" and "sales (401)" as the account titles. In this way, the user provides the system with basic information about their company.

[1046] Step 2:

[1047] The user terminal transmits the input information on the business type, accounting policy, and account title master to the server, which then receives the necessary initial setting information from the user.

[1048] Step 3:

[1049] The server stores the received information on business type, accounting policy, and account master data in the database of the generation AI.The server then uses this data to ensure that the generation AI has the basic data necessary to generate accounting entries.

[1050] Step 4:

[1051] The user inputs the details of the transaction that occurred into the user terminal. For example, if there was a sale of 1,000 yen on December 1, 2023, the user would input the details of that transaction. In this way, the user provides specific transaction information to the system.

[1052] Step 5:

[1053] The user terminal transmits the entered transaction details to the server. At the same time, the user terminal acquires the user's facial expressions and voice data as they are entering the information, and transmits this data to the emotion engine. This allows the server to simultaneously receive transaction information and emotion information from the user.

[1054] Step 6:

[1055] The emotion engine analyzes the received user's facial expressions and voice data to understand the user's emotional state. For example, it determines whether the user is feeling stressed or anxious. This emotional information is then sent to the server.

[1056] Step 7:

[1057] The server passes the received transaction information and emotion information to the AI ​​generator, which then automatically generates accounting entries. The generated accounting entries include the transaction date, description, amount, and related account code. Based on the emotion information, the AI ​​displays input assistance and encouraging messages to the user as needed.

[1058] Step 8:

[1059] The server outputs the generated accounting entries to an Excel spreadsheet, where the user can review the entries. The emotion engine monitors the user's emotional state and provides feedback.

[1060] Step 9:

[1061] The server reads the transaction journal information from the generated Excel sheet, which gives the server the data to use in the next step.

[1062] Step 10:

[1063] The server automatically generates balance sheets, income statements, and cash flow statements based on the journal entry information it reads. Each financial statement is calculated and created based on standard accounting principles.

[1064] Step 11:

[1065] The server outputs the generated balance sheet, income statement, and cash flow statement to a new Excel spreadsheet, allowing the user to view and use these financial statements.

[1066] Step 12:

[1067] Users can download the output financial statements and use them for blue tax returns or management accounting. The emotion engine monitors the user's emotions throughout this process and continues to provide necessary support depending on the situation. This allows users to easily carry out the necessary accounting tasks.

[1068] This process allows users to effectively manage accounting information and quickly generate appropriate financial statements, while also taking into account their emotional state during the process, providing support to reduce stress and anxiety.

[1069] Example 2

[1070] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1071] For today's sole proprietors and small and medium-sized enterprises, accounting work is extremely complex, time-consuming, and requires specialized knowledge. Small businesses, in particular, have limited resources and find it difficult to allocate significant time to accounting work. Furthermore, systems that do not take the user's psychological state into consideration can lead to stressful tasks and reduced productivity. Therefore, there is a need for a system that can perform accounting work simply and efficiently, while also providing support that takes the user's emotional state into consideration.

[1072] The specific processing by the specific processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes a user terminal means for inputting the company's business type, accounting policy, and account item master, a means for receiving the business type, accounting policy, and account item master input from the user terminal and storing them in a database, a user terminal means for inputting transaction details, a means for receiving the transaction details and emotional information input from the user terminal, performing emotional analysis using an emotion engine, automatically generating accounting journal entries based on a generation AI, and outputting them to an Excel spreadsheet, and a means for reading transaction journal information from the Excel spreadsheet and automatically generating a balance sheet, income statement, and cash flow statement. This enables the efficiency and streamlining of accounting work, and is expected to reduce the workload and improve productivity by providing feedback according to the user's emotional state.

[1073] A "user terminal" is an input device that allows a user to input business type, accounting policy, account item master, and transaction details.

[1074] The "server means" is a computing device that receives and stores information input from a user terminal and executes the necessary processing.

[1075] An "emotion engine" is software that analyzes a user's facial expressions and voice data to determine their emotional state.

[1076] "Generative AI" is an artificial intelligence technology that automatically generates accounting entries based on information provided by the user.

[1077] An "Excel sheet" is a spreadsheet software sheet that visually displays generated accounting entries and financial statements.

[1078] "Accounting entries" are information used to record accounting information based on transaction details.

[1079] "Financial statements" means documents that show the financial position and business performance of a company, and include balance sheets, income statements, and cash flow statements.

[1080] This invention combines a system for enabling sole proprietors and small and medium-sized enterprises to efficiently perform accounting tasks with an emotion engine that recognizes the user's emotions. By using a user terminal, server means, and emotion engine, the system can consistently perform everything from registering a company's business type, accounting policy, and account item master data to inputting transaction details, generating accounting journal entries, automatically generating financial statements, and even providing feedback to the user.

[1081] First, the user terminal takes the form of a personal computer or smartphone, and provides an input means for the user to enter their company's business type, accounting policy, and account item master data. For example, the user enters "retail" as the business type, "accrual basis" as the accounting policy, and "cash (101)" and "sales (401)" as account items. In this way, the user provides the system with basic information about their company.

[1082] The server means is implemented on a cloud server (e.g., AWS or Google Cloud), receives information on business type, accounting policy, and account item master data sent from the user terminal, and stores it in a database. This allows the server to properly manage the input information and enable the generation AI to operate based on it. For example, the stored business type information and accounting policy information are used in subsequent accounting processing.

[1083] Next, the user enters the details of the transaction that occurred into the user terminal. For example, if there was a sale of 1,000 yen on December 1, 2023, the user would enter the details of that transaction. In this way, the user provides specific transaction information to the system.

[1084] When entering transaction details, the user device acquires emotional information from the user's facial expressions and voice, and sends it to the emotion engine. The emotion engine uses Microsoft Azure's Cognitive Services and Google Cloud's Natural Language API to analyze the user's emotional state and send it to the server.

[1085] The server passes the received transaction information and emotion information to the generation AI, which then automatically generates accounting entries. The generated accounting entries include the transaction date, description, amount, and related account code. Based on the emotion information, the server provides input assistance and encouraging messages to the user as needed. For example, if the user is feeling stressed, the message "Relax" is displayed.

[1086] The generated accounting entries are output to an Excel spreadsheet for user review, while the emotion engine takes into account the user's emotional information to provide feedback and flexibly adjust the review process.

[1087] The server then reads transaction journal information from the generated Excel spreadsheet and automatically generates balance sheets, income statements, and cash flow statements, each calculated and formed according to standard accounting principles.

[1088] The generated financial statements are also output as Excel sheets, which users can use for confirmation, blue tax return filing, and management accounting. The emotion engine monitors the user's emotions throughout this process and provides necessary support depending on the situation.

[1089] As a concrete example, suppose the user enters the following information:

[1090] Business type: Retail

[1091] Accounting policy: accrual basis

[1092] Account Master: Cash (101), Sales (401)

[1093] The transaction details entered by the user are as follows:

[1094] Date: December 1, 2023

[1095] Description: 1000 yen sales

[1096] Price: 1,000 yen

[1097] Account code: 401

[1098] If stress is detected from the user's facial expression when entering transaction details, the server will support the user by displaying a message such as "Please relax" based on the results of the emotion engine. The server outputs accounting entries generated based on the transaction details to an Excel spreadsheet so that the user can check them, and also automatically generates balance sheets, income statements, and cash flow statements and outputs them to Excel spreadsheets.

[1099] An example prompt is:

[1100] The user selected "Retail" as the business type and "Accrual basis" as the accounting policy, and set "Cash (101)" and "Sales (401)" as the account item master.

[1101] Generate accounting entries based on the following transactions:

[1102] Date: December 1, 2023

[1103] Description: 1000 yen sales

[1104] Price: 1000 yen

[1105] Account Code: 401

[1106] Also, the emotion engine detected stress when the user typed, so display the message "Relax."

[1107] This system allows users to perform accounting tasks efficiently, and the support provided by the emotion engine reduces the workload.

[1108] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1109] Step 1: Enter basic user information

[1110] The user enters their company's business type, accounting policy, and account item master data into the user terminal. For example, they enter "retail," "accrual basis," "cash (101)," and "sales (401)." The entered information is sent to the server by pressing the send button. Input: business type, accounting policy, account item master data. Output: the entered information is sent to the server as data.

[1111] Step 2: Send and store data

[1112] The terminal sends the information entered by the user on the business type, accounting policy, and account master to the server. The server saves the received data in the database. This ensures that the entered information is properly managed in the database. Input: Information sent from the user terminal. Output: Saved database entry.

[1113] Step 3: Enter your transaction details

[1114] The user enters the details of the transaction that occurred into the user terminal. For example, the transaction details are "December 1, 2023," sales of 1,000 yen, and "401." The entered information is sent to the server. Input: Transaction date, transaction description, transaction amount, account code. Output: The entered transaction details are sent to the server.

[1115] Step 4: Sentiment Analysis and Feedback

[1116] When entering transaction details, the terminal obtains emotional information from the user's facial expressions and voice and sends it to the emotion engine. The emotion engine analyzes this information and sends the user's emotional state to the server. The server generates a feedback message based on the emotional state and displays it on the user's terminal. For example, if the user is feeling stressed, a message saying "Please relax" is displayed. Input: facial expression data, voice data. Output: emotional state analysis results, feedback message.

[1117] Step 5: Automatic journal generation

[1118] The server passes transaction information and sentiment information to the generation AI. The generation AI automatically generates accounting entries based on this information and returns the results to the server. The generated accounting entries include the transaction date, description, amount, and related account code. Input: Transaction information, sentiment information. Output: Generated accounting entry data.

[1119] Step 6: Check and print journal information

[1120] The server automatically outputs the generated accounting entry information to an Excel spreadsheet. The created Excel spreadsheet is sent to the user's terminal so that the user can check it. Input: Generated accounting entry data. Output: Excel spreadsheet file.

[1121] Step 7: Auto-generate financial statements

[1122] The server reads transaction journal information from the generated Excel sheet and automatically generates balance sheets, income statements, and cash flow statements. The generated financial statements are output to new Excel sheets so that users can check and use them. Input: Excel sheet containing journal information. Output: Excel sheet files containing balance sheets, income statements, and cash flow statements.

[1123] For example, when a user inputs "Retail," "Accrual basis," "Cash (101)," and "Sales (401)," and then enters "December 1, 2023," "Sales of 1,000 yen," and "401" as transaction details, the emotion engine detects the user's stress. The message "Please relax" is displayed, and then accounting entries and financial statements are generated and output to an Excel spreadsheet.

[1124] (Application example 2)

[1125] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1126] Conventional accounting systems require users to manually input a large amount of accounting information on a daily basis, which often results in input errors and complication of work. Furthermore, the lack of support that takes into account the user's emotional state creates issues that lead to stress and fatigue. Furthermore, the lack of a system for efficiently processing and checking accounting information often places a heavy burden on small and medium-sized enterprises and sole proprietors.

[1127] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1128] In this invention, the server includes an information input device means for inputting the company's business type, accounting policy, and account title master, an integrated monitoring device means for receiving the business type, accounting policy, and account title master input from the information input device and storing them in the memory device of the generation AI, and an information input device means for inputting transaction details. This makes it possible to process accounting information efficiently and accurately and automatically generate financial statements while providing feedback that takes into account the user's emotional state.

[1129] The "information input device" is a device that allows a user to input information about the company's business type, accounting policy, account item master, and transaction details.

[1130] The "integrated monitoring device" is a device that receives data input from the information input device, stores it in the memory device of the generation AI, automatically generates accounting entries, and outputs them to a spreadsheet software sheet.

[1131] "Generative AI" is an artificial intelligence that generates accounting entries based on information entered by the user and automatically creates financial statements.

[1132] A "memory device" is a device for storing data necessary for the generation AI to operate.

[1133] An "emotion recognition device" is a device that acquires emotional information from a user's facial expressions and voice and analyzes their emotional state.

[1134] The "emotion feedback device" is a device that provides feedback to a user based on the emotion information analyzed by the emotion recognition device.

[1135] A "voice recognition device" is a device for converting a user's voice input into text data.

[1136] The "image capture device" is a camera device for capturing the user's facial expression.

[1137] A "spreadsheet software sheet" is a sheet of spreadsheet software on which accounting entries and financial statements are output and which the user can check.

[1138] This invention provides a system for streamlining checkout procedures in brick-and-mortar stores and providing support by taking into account the user's emotional state. The system uses an information input device, an integrated monitoring device, an emotion recognition device, an emotion feedback device, a voice recognition device, and an image capture device. Specific embodiments of the system are described below.

[1139] 1. Information input device

[1140] The information input device is a device for users to input accounting information, and corresponds to a mobile terminal such as a smartphone. The user inputs their company's business type, accounting policy, account item master, and transaction details through the information input device.

[1141] 2. Integrated monitoring device

[1142] The integrated monitoring device receives input accounting information, stores it in a memory device using generative AI, automatically generates accounting entries, and outputs them to a spreadsheet software. Specifically, this role is played by a server. The server analyzes the input information and automatically generates financial statements using a generative AI model that generates accounting entries.

[1143] 3. Emotion recognition device

[1144] The emotion recognition device is a device that analyzes a user's facial expressions and voice to acquire emotional information. This device includes a camera as an image acquisition device and a microphone as a voice recognition device. The emotion recognition device analyzes the user's emotional state based on the acquired facial and voice data and transmits the results to the integrated monitoring device.

[1145] 4. Emotional Feedback Device

[1146] The emotion feedback device is a device that provides feedback to a user based on emotion information analyzed by an emotion recognition device. For example, if the user is feeling stressed, it displays a message saying, "Please relax."

[1147] 5. Spreadsheet software sheet

[1148] The spreadsheet software is a sheet on which the generated accounting entries and financial statements are output, allowing the user to check the accounting information and make any necessary corrections or management.

[1149] Examples:

[1150] The user uses the information input device to input the following information:

[1151] Business type: Retail

[1152] Accounting policy: accrual basis

[1153] Account Master: Cash (101), Sales (401)

[1154] The deal is as follows:

[1155] Date: December 1, 2023

[1156] Description: 1000 yen sales

[1157] Price: 1,000 yen

[1158] Account code: 401

[1159] If the image capture device detects stress from the user's facial expression when entering transaction details, the emotion feedback device displays the message, "Please relax." The server outputs accounting entries generated based on the transaction details to a spreadsheet software, and also automatically generates balance sheets, income statements, and cash flow statements and outputs them to the spreadsheet software.

[1160] Example prompt sentence:

[1161] "Receive money December 1, 2023 1,000 yen"

[1162] "Expenses: December 1, 2023, transportation costs: 500 yen"

[1163] This allows users to efficiently manage accounting information and quickly generate appropriate financial statements using generative AI models. The addition of an emotion recognition device provides support that takes into account the user's emotional state, reducing the workload.

[1164] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1165] Step 1:

[1166] The user uses an information input device (smartphone or tablet) to input their company's business type, accounting policy, and account item master data. At this time, the user fills in the information according to the input form and presses the send button. The input includes data on "business type," "accounting policy," and "account item master data," and each data is sent to the server. The output is the company's basic information stored on the server.

[1167] Step 2:

[1168] The server receives the above information and stores it in the Generator AI's memory device. Specifically, the server analyzes the data on business type, accounting policy, and account master, and registers it in the Generator AI's database. This allows the user's basic accounting information to be managed. The input is the data on "business type," "accounting policy," and "account master" sent by the user, and the output is the data stored in the Generator AI's database.

[1169] Step 3:

[1170] The user can use the information input device to manually input the transaction details or use a voice recognition device to input the details by voice, for example, by using a prompt such as "Receive money December 1, 2023, 1,000 yen." The input is the specific data of the transaction details, and the output is the transaction input data generated by the information input device.

[1171] Step 4:

[1172] The video capture device (camera) and voice recognition device (microphone) capture the user's facial expressions and voice and send them to the emotion recognition device. The emotion recognition device analyzes the user's emotional state based on this data. The input is the user's facial expression data and voice data, and the output is analyzed emotional information.

[1173] Step 5:

[1174] The server analyzes the transaction details received from the information input device and the emotional information received from the emotion recognition device. The generation AI automatically generates accounting entries based on this data. The input is the transaction details and emotional information, and the output is the generated accounting entry data.

[1175] Step 6:

[1176] The generated accounting journal data is output to a spreadsheet software sheet so that the user can check it. The server displays this sheet to the user and prompts them to make corrections or add additional information as necessary. The input is the accounting journal data, and the output is the journal information displayed on the spreadsheet software sheet.

[1177] Step 7:

[1178] The server reads transaction journal information from a spreadsheet software sheet and automatically generates a balance sheet, income statement, and cash flow statement. The generated financial statements are also output to the spreadsheet software sheet so that the user can check and manage them. The input is the journal information read from the spreadsheet software sheet, and the output is the newly generated financial statements.

[1179] Step 8:

[1180] The emotion feedback device provides appropriate feedback to the user based on the emotion information from the emotion recognition device. For example, if the user is feeling stressed, a message saying "Please relax" is displayed. The input is the analyzed emotion information, and the output is a feedback message.

[1181] These processing steps enable the system of the present invention to provide support that takes into account the user's emotional state while allowing the user to efficiently manage their accounting information.

[1182] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1183] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1184] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1185] [Fourth embodiment]

[1186] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1187] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1188] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1189] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1190] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1191] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1192] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1193] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1194] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1195] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1196] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1197] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1198] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1199] This invention is a system for enabling sole proprietors and small and medium-sized enterprises to efficiently carry out accounting work. By using user terminals and server means, the system can perform an integrated process from registering the company's business type, accounting policy, and account item master data to inputting transaction details, generating accounting entries, and automatically generating financial statements.

[1200] First, the user terminal provides an input means for inputting the company's business type, accounting policy, and account item master. For example, the user inputs a business type such as "retail business," an accounting policy such as "accrual basis," and account items such as "cash (101)" and "sales (401)." The terminal also has a function for transmitting this information to the server.

[1201] The server receives the information on business type, accounting policy, and account item master data sent from the user terminal and stores it in the database of the generation AI. The generation AI prepares the basic data necessary to generate accounting entries based on this information.

[1202] Next, the user enters the transaction details into the user terminal. For example, if a sale of 1,000 yen occurs on December 1, 2023, the user enters the transaction details. This information is also sent to the server. The server uses generation AI to automatically generate accounting entries from the entered transaction details. The generated accounting entries are output to an Excel spreadsheet so that the user can check them. This Excel spreadsheet contains information such as the date, description, amount, and account code.

[1203] The server then reads the contents of the generated Excel spreadsheet and automatically generates balance sheets, income statements, and cash flow statements based on this information. These financial statements are then output to new Excel spreadsheets so that users can review them and use them for blue tax return filing and management accounting.

[1204] As a concrete example, suppose the user enters the following information:

[1205] Business type: Retail

[1206] Accounting policy: accrual basis

[1207] Account Master: Cash (101), Sales (401)

[1208] Next, the user enters the following transaction:

[1209] Date: December 1, 2023

[1210] Description: 1000 yen sales

[1211] Price: 1,000 yen

[1212] Account code: 401

[1213] The server generates accounting entries based on the transaction details and outputs them to an Excel spreadsheet. For example, the following entries are generated:

[1214] Date: December 1, 2023

[1215] Account: Sales

[1216] Debit amount: 1000 yen

[1217] Credit amount: 0 yen

[1218] From this journal entry information, the server then automatically generates a balance sheet, income statement, and cash flow statement. The generated financial statements are also output as Excel sheets. Users can use this information to efficiently file blue tax returns and perform management accounting.

[1219] By using this system, users can easily perform complex accounting tasks, saving time and effort.

[1220] The processing flow will be explained below.

[1221] Step 1:

[1222] The user inputs the company's business type, accounting policy, and account title master. For example, the user inputs "retail" as the business type, "accrual basis" as the accounting policy, and "cash (101)" and "sales (401)" as the account titles. In this way, the user provides the system with basic information about their company.

[1223] Step 2:

[1224] The user terminal transmits the input information on the business type, accounting policy, and account title master to the server, which then receives the necessary initial setting information from the user.

[1225] Step 3:

[1226] The server stores the received information on business type, accounting policy, and account master data in the database of the generation AI. In this case, the server appropriately structures the input information so that the AI ​​can operate based on it.

[1227] Step 4:

[1228] The user inputs the details of the transaction that occurred into the user terminal. For example, if there was a sale of 1,000 yen on December 1, 2023, the user would input the details of that transaction. In this way, the user provides specific transaction information to the system.

[1229] Step 5:

[1230] The user terminal transmits the entered transaction details to the server, which then receives the transaction information from the user.

[1231] Step 6:

[1232] The server passes the received transaction information to the generation AI, which automatically generates accounting entries, including the transaction date, description, amount, and related account code.

[1233] Step 7:

[1234] The server outputs the generated accounting information to an Excel spreadsheet, at which point the user can check the contents of the journal entries.

[1235] Step 8:

[1236] The server reads the transaction journal information from the generated Excel sheet, which gives the server the data to use in the next step.

[1237] Step 9:

[1238] The server automatically generates balance sheets, income statements, and cash flow statements based on the journal entry information it reads. Each financial statement is calculated and created based on standard accounting principles.

[1239] Step 10:

[1240] The server outputs the generated balance sheet, income statement, and cash flow statement to a new Excel spreadsheet, allowing the user to view and use these financial statements.

[1241] Step 11:

[1242] Users can download the output financial statements and use them for blue tax return filing and management accounting, allowing them to easily carry out the necessary accounting tasks.

[1243] This process allows users to effectively manage accounting information and quickly generate appropriate financial statements.

[1244] Example 1

[1245] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1246] Many small and medium-sized enterprises and sole proprietors must devote a great deal of time and effort to accounting work. In particular, the process of converting daily transaction data into accounting entries and preparing financial statements is complex and often requires specialized knowledge. However, many systems that streamline these tasks are expensive and often difficult to implement and operate. For this reason, there is a demand for systems that can perform accounting work efficiently and easily.

[1247] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1248] In this invention, the server includes a user terminal for inputting the company's business type, accounting policy, and account item master, means for receiving the business type, accounting policy, and account item master input from the user terminal and storing them in a database of a generation AI, a user terminal for inputting transaction details, means for receiving the transaction details input from the user terminal and automatically generating accounting journal entries using a generation AI model and outputting them to an Excel spreadsheet, and means for reading transaction journal information from the Excel spreadsheet and automatically generating a balance sheet, income statement, and cash flow statement, thereby enabling the automation and efficiency of accounting work.

[1249] A "user terminal" is an electronic device that allows a user to input information such as business type, accounting policy, account item master, and transaction details.

[1250] The "server" is a computer that receives information sent from the user's terminal, stores it in the generation AI's database, and then generates accounting entries and financial statements based on the transaction data.

[1251] A "generative AI model" is an artificial intelligence algorithm that analyzes data entered by a user and automatically generates appropriate accounting entries.

[1252] An "accounting entry" is an accounting record generated based on a transaction and assigning an amount to a specific account.

[1253] An "Excel sheet" is a file format available in Microsoft Excel and other spreadsheet software that is a table used to visually display accounting entries and financial statements.

[1254] A balance sheet is an accounting statement that summarizes a company's assets, liabilities, and capital position at a particular point in time.

[1255] An "income statement" is an accounting statement that shows a company's revenues, expenses, and net income for a particular period.

[1256] A "cash flow statement" is an accounting report that shows a company's flow of cash receipts and expenditures over a specific period of time, revealing the company's cash position.

[1257] The "account item master" is a list of standard account items that a company uses to create accounting entries.

[1258] "Business type" is a classification that indicates the type and nature of a company's business activities. Examples include retail, manufacturing, and services.

[1259] "Accounting policies" are the financial reporting standards and guidelines adopted by a company, such as accrual basis or cash basis.

[1260] This invention is a system for enabling sole proprietors and small and medium-sized enterprises to efficiently carry out accounting work. Using user terminals and a server, the system can perform all steps in an integrated manner, from registering the company's business type, accounting policy, and account item master data, to inputting transaction details, generating accounting entries, and automatically generating financial statements.

[1261] First, the user terminal provides an input means for entering the company's business type, accounting policy, and account item master. Specifically, the user selects from drop-down lists such as "retail" or "accrual basis," and enters account items such as "cash (101)" or "sales (401)" in the text boxes. This information is sent from the user terminal to the server. HTTPS communication is used for transmission, ensuring secure data transfer.

[1262] Next, the server saves the received data on business type, accounting policy, and account master data in the generation AI database. The generation AI then prepares to automatically generate accounting entries based on this basic data. To save the data, it uses database operations such as SQL INSERT statements.

[1263] Next, the user enters the transaction details into the user device. For example, if there is a sale of 1,000 yen on December 1, 2023, the user enters the transaction details into the user device. This information is also sent to the server via HTTPS communication. The server passes the received transaction data to the generative AI model, which automatically generates accounting entries. The generative AI model uses an algorithm for creating journal entries, for example, via an API call.

[1264] The generated accounting entries are output by the server to an Excel spreadsheet using an Excel generation library (e.g., Apache POI or Python's openpyxl) to visually display the accounting data, and the server then sends the generated Excel spreadsheet to the user's device and provides a link that allows the user to download and view the Excel spreadsheet.

[1265] Furthermore, the server automatically generates balance sheets, income statements, and cash flow statements based on the contents of the Excel spreadsheet. This process uses a generative AI model. The generated financial statements are also output as new Excel spreadsheets and provided to the user. Users can use these to file blue tax returns or for management accounting.

[1266] Examples:

[1267] The user enters the following information:

[1268] Business type: Retail

[1269] Accounting policy: accrual basis

[1270] Account Master: Cash (101), Sales (401)

[1271] Next, the user enters the following information for the transaction:

[1272] Date: December 1, 2023

[1273] Description: 1000 yen sales

[1274] Price: 1,000 yen

[1275] Account code: 401

[1276] The server generates accounting entries based on the transaction details and outputs them to an Excel spreadsheet. For example, the following entries are generated:

[1277] Date: December 1, 2023

[1278] Account: Sales

[1279] Debit amount: 1000 yen

[1280] Credit amount: 0 yen

[1281] An example prompt is:

[1282] "Using your accounting system, generate accounting entries based on retail sales of 1,000 yen on December 1, 2023, and output them to an Excel spreadsheet. Then, use this journal entry data to generate a balance sheet and income statement."

[1283] By using this system, users can perform accounting tasks easily and quickly, saving time and effort.

[1284] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1285] Step 1:

[1286] The user terminal provides a form for entering the company's business type, accounting policy, and account item master data. The entered information includes business type and accounting policy such as "retail" and "accrual basis," as well as account items such as "cash (101)" and "sales (401)." The user enters this information and clicks the submit button. The entered data is sent to the server via HTTPS communication.

[1287] input:

[1288] Business type, accounting policy, account item master

[1289] output:

[1290] User data sent to the server

[1291] Specific behavior:

[1292] The user fills in the form and clicks the submit button.

[1293] Step 2:

[1294] The server verifies the received information on business type, accounting policy, and account master, and saves it in the database of the generated AI. To save the data, it uses the SQL INSERT statement to create the appropriate record in the database.

[1295] input:

[1296] Business type, accounting policy, and account item master data sent from the user terminal

[1297] output:

[1298] Data stored in the generative AI database

[1299] Specific behavior:

[1300] The server validates the data and executes an SQL INSERT statement to save it to the database.

[1301] Step 3:

[1302] The user displays a form on their terminal to input transaction details. They enter the transaction date, description, amount, and account code, and click the submit button. For example, if a sale of 1,000 yen occurs on December 1, 2023, they enter the transaction details. This information is also sent to the server.

[1303] input:

[1304] Transaction details (e.g., date, description, amount, account code)

[1305] output:

[1306] Transaction data sent to the server

[1307] Specific behavior:

[1308] The user enters the transaction details into the form and clicks the submit button.

[1309] Step 4:

[1310] The server passes the received transaction data to the generative AI model and requests it to automatically generate accounting entries. The generative AI model analyzes the transaction data and generates the appropriate accounting entries. This process involves passing the data to the generative AI model via an HTTP API call.

[1311] input:

[1312] Transaction data sent from the user device

[1313] output:

[1314] Generated accounting data

[1315] Specific behavior:

[1316] The server calls the API of the generated AI model, passes the transaction data, and generates accounting entries.

[1317] Step 5:

[1318] The server outputs the generated accounting entries to an Excel spreadsheet. Using an Excel generation library (such as Apache POI or Python's openpyxl), a journal table is created containing information such as date, description, amount, and account code. The generated Excel spreadsheet is sent to the user's device and a download link is provided.

[1319] input:

[1320] Generated accounting data

[1321] output:

[1322] Accounting journal data in Excel format

[1323] Specific behavior:

[1324] The server uses an Excel generation library to create a journal entry table and provides it to the user.

[1325] Step 6:

[1326] The server reads the journal information output to an Excel spreadsheet and automatically generates a balance sheet, income statement, and cash flow statement based on this information using a generative AI model. The generated financial statements are also output as Excel spreadsheets and provided to the user.

[1327] input:

[1328] Accounting journal data in Excel format

[1329] output:

[1330] Financial statements in Excel format

[1331] Specific behavior:

[1332] The server uses the generative AI model to automatically generate financial statements and output them as Excel sheets.

[1333] This series of steps allows the user to perform accounting tasks efficiently and easily.

[1334] (Application example 1)

[1335] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1336] With conventional accounting systems, sole proprietors and small and medium-sized enterprises manually create accounting entries and financial statements, which takes time and effort and is prone to errors. Furthermore, it is difficult to link inventory management and product inbound and outbound information at logistics centers with the accounting system, hindering efficient business operations. This has created a need for improved efficiency and accuracy in complex accounting operations.

[1337] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1338] In this invention, the server includes a user terminal for inputting the company's business type, accounting policy, and account item master data, server means for receiving the business type, accounting policy, and account item master data input from the user terminal and saving them in a database of a generation AI, a user terminal for inputting transaction details, server means for receiving the transaction details input from the user terminal, automatically generating accounting entries and outputting them to an Excel spreadsheet, server means for reading transaction entry information from the Excel spreadsheet and automatically generating a balance sheet, income statement, and cash flow statement, a user terminal for inputting inventory management and product inbound / outbound information at a logistics center, and server means for automatically generating accounting entries from the inventory management and inbound / outbound information using the generation AI. This enables sole proprietors and small and medium-sized enterprises to easily perform accounting work within their logistics centers and achieve efficient and accurate accounting processing in conjunction with inventory management and inbound / outbound information.

[1339] A "user terminal" is an electronic device for a user to input information, and includes a personal computer, a smartphone, a tablet, or the like.

[1340] "Server means" refers to a computer system on a network that receives and processes information sent from a user terminal.

[1341] "Generative AI" is an artificial intelligence system that automatically generates accounting entries and financial statements based on input data.

[1342] "Business type" refers to the type and nature of the business conducted by a company or sole proprietor.

[1343] "Accounting policies" refer to the basic rules and policies regarding accounting procedures adopted by companies and sole proprietors.

[1344] The "account item master" is a database that manages a list of account items used in accounting processing and their detailed information.

[1345] "Transaction details" refers to information about specific economic activities such as buying and selling or providing services conducted by companies or individual business owners.

[1346] An "accounting entry" is a basic unit of accounting processing in which transactions are recorded using a double entry method based on specific account items.

[1347] "Excel Sheet" means a spreadsheet file used by Microsoft Excel or similar spreadsheet software.

[1348] A balance sheet is a financial statement that shows the status of a company's assets, liabilities, and capital at a given point in time.

[1349] An income statement is a financial statement that shows a company's revenues and expenses over a certain period of time.

[1350] A cash flow statement is a financial statement that shows a company's cash flow over a certain period of time.

[1351] "Inventory management" is the task of monitoring and managing the quantity and value of goods stored within a company or logistics center.

[1352] "Incoming and outgoing product information" is specific data related to the receipt (entry) and shipping (shipment) of products at the logistics center.

[1353] This invention is a system for enabling sole proprietors and small and medium-sized enterprises to efficiently carry out accounting work at their logistics centers. The system uses user terminals and server means to perform an integrated process from registering business types, accounting policies, and account item master data, to inputting transaction details, generating accounting entries, and automatically generating financial statements.

[1354] User terminal

[1355] First, a user terminal is prepared. A user terminal can be a PC, smartphone, or tablet, and the user uses it to input their company's business type, accounting policy, and account item master data. For example, the user might input a business type such as "retail" and an accounting policy such as "accrual basis." They also input account items such as "cash (101)" and "sales (401)." This information is sent to the server.

[1356] Server Means

[1357] The server receives the information on business type, accounting policy, and account item master data sent from the user terminal and stores it in the database of the generation AI. Based on this information, the generation AI prepares the basic data necessary to generate accounting entries.

[1358] Next, the user inputs the daily operations of the logistics center. Specifically, they input inventory management information and product inbound and outbound information from the user terminal. For example, if a product worth 1,000 yen arrives on December 1, 2023, they enter that information. This information is also sent to the server.

[1359] Transaction processing

[1360] The server automatically generates accounting entries from the entered transaction details using generation AI. The generated accounting entries are output to an Excel spreadsheet for user review. This Excel spreadsheet contains information such as dates, descriptions, amounts, and account codes.

[1361] The server then reads the content of the generated Excel spreadsheet and automatically generates a balance sheet, income statement, and cash flow statement based on this information. These financial statements are also output to Excel spreadsheets for user review and management accounting.

[1362] Hardware and software used

[1363] The system uses the following hardware and software:

[1364] Hardware: PCs, smartphones, tablets

[1365] Software: Python, pandas, openpyxl, Microsoft Excel

[1366] Specific examples

[1367] For example, if you enter the following information:

[1368] Business type: Retail

[1369] Accounting policy: accrual basis

[1370] Account Master: Cash (101), Sales (401)

[1371] Next, enter the transaction details for the distribution center as follows:

[1372] Date: December 1, 2023

[1373] Description: New product arrival

[1374] Price: 1,000 yen

[1375] Account code: 401

[1376] Based on this input information, the AI ​​generates accounting entries and automatically generates balance sheets, income statements, and cash flow statements. Examples of prompts are as follows:

[1377] Prompt Sentence Examples

[1378] User: Logistics Center

[1379] Accounting policy: accrual basis

[1380] Account Master: Cash (101), Sales (401)

[1381] Transaction details:

[1382] Date: December 1, 2023

[1383] Description: New product arrival

[1384] Price: 1,000 yen

[1385] Account code: 401

[1386] The above processing improves the efficiency of accounting operations in the operation of a logistics center, enabling managers to perform their work easily and accurately.

[1387] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1388] Step 1:

[1389] The user inputs their company's business type, accounting policy, and account item master data from the user terminal. This input data includes the business type (e.g., retail), accounting policy (e.g., accrual basis), and account items (e.g., cash (101), sales (401)). The terminal sends this input data to the server.

[1390] Step 2:

[1391] The server stores the information received from the terminal, including the business type, accounting policy, and account master data, in the generation AI database. This database holds the basic data required to generate accounting entries. Once stored, the data is used in subsequent processing.

[1392] Step 3:

[1393] The user enters the transaction details into a user terminal at the distribution center. The entered data includes the transaction date (e.g., December 1, 2023), description (e.g., new product arrival), amount (e.g., 1,000 yen), and account code (e.g., 401). The terminal then sends the transaction details to the server.

[1394] Step 4:

[1395] The server uses generation AI to automatically generate accounting entries from the received transaction details. The generation AI model derives appropriate accounting entries based on the stored business type, accounting policy, and account item master data. The generated entries are output in Excel sheet format. This Excel sheet contains information such as date, description, amount, and account item code.

[1396] Step 5:

[1397] The server reads the contents of the generated Excel sheet. Based on the transaction journal information, it automatically generates a balance sheet, income statement, and cash flow statement. These financial statements are also output in Excel sheet format. This data output allows the user to check the financial situation on a spreadsheet.

[1398] Step 6:

[1399] The user checks the generated accounting entries and financial statements through their terminal, opens an Excel spreadsheet on the terminal, checks whether the transaction details are accurately reflected, and makes corrections or additional entries as necessary.

[1400] Prompt Sentence Examples

[1401] User: Logistics Center

[1402] Accounting policy: accrual basis

[1403] Account Master: Cash (101), Sales (401)

[1404] Transaction details:

[1405] Date: December 1, 2023

[1406] Description: New product arrival

[1407] Price: 1,000 yen

[1408] Account code: 401

[1409] Through the above steps, accounting operations at the logistics center will be made more efficient, and by linking inventory management and product inbound and outbound information with accounting processing, accurate and prompt accounting operations will be realized.

[1410] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1411] This invention combines a system for enabling sole proprietors and small and medium-sized enterprises to efficiently perform accounting tasks with an emotion engine that recognizes the user's emotions. By using a user terminal, server means, and emotion engine, the system can consistently perform everything from registering a company's business type, accounting policy, and account item master data to inputting transaction details, generating accounting journal entries, automatically generating financial statements, and even providing feedback to the user.

[1412] First, the user terminal provides an input means for inputting the company's business type, accounting policy, and account item master. For example, the user inputs "retail" as the business type, "accrual basis" as the accounting policy, and "cash (101)" and "sales (401)" as the account items. In this way, the user provides the system with basic information about their company.

[1413] The server receives the information on business type, accounting policy, and account item master sent from the user terminal and stores it in the database of the generation AI. This allows the server to properly manage the input information and enable the generation AI to operate based on it.

[1414] Next, the user enters the details of the transaction that occurred into the user terminal. For example, if there was a sale of 1,000 yen on December 1, 2023, the user would enter the details of that transaction. In this way, the user provides specific transaction information to the system.

[1415] When entering transaction details, the user terminal acquires emotional information from the user's facial expressions, voice, etc., and sends it to the emotion engine. Based on this, the emotion engine analyzes the user's emotional state and sends it to the server means.

[1416] The server passes the received transaction information and emotion information to the AI ​​generator, which then automatically generates accounting entries. The generated accounting entries include the transaction date, description, amount, and related account code. Based on the emotion information, the AI ​​provides input assistance and encouraging messages to the user as needed.

[1417] The generated accounting entries are output to an Excel spreadsheet for user review, while the emotion engine takes into account the user's emotional information to provide feedback and flexibly adjust the review process.

[1418] The server then reads transaction journal information from the generated Excel spreadsheet and automatically generates balance sheets, income statements, and cash flow statements, each calculated and formed according to standard accounting principles.

[1419] The generated financial statements are also output as Excel sheets, which users can use for confirmation, blue tax return filing, and management accounting. The emotion engine monitors the user's emotions throughout this process and provides necessary support depending on the situation.

[1420] As a concrete example, suppose the user enters the following information:

[1421] Business type: Retail

[1422] Accounting policy: accrual basis

[1423] Account Master: Cash (101), Sales (401)

[1424] The transaction details entered by the user are as follows:

[1425] Date: December 1, 2023

[1426] Description: 1000 yen sales

[1427] Price: 1,000 yen

[1428] Account code: 401

[1429] If stress is detected from the user's facial expression when entering transaction details, the server will support the user by displaying a message such as "Please relax" based on the results of the emotion engine. The server outputs accounting entries generated based on the transaction details to an Excel spreadsheet so that the user can check them, and also automatically generates balance sheets, income statements, and cash flow statements and outputs them to Excel spreadsheets.

[1430] This allows users to manage accounting information efficiently and comfortably, and quickly generate appropriate financial statements. The addition of the emotion engine is expected to reduce the workload by providing support that takes into account the user's emotional state.

[1431] The processing flow will be explained below.

[1432] Step 1:

[1433] The user inputs the company's business type, accounting policy, and account title master. For example, the user inputs "retail" as the business type, "accrual basis" as the accounting policy, and "cash (101)" and "sales (401)" as the account titles. In this way, the user provides the system with basic information about their company.

[1434] Step 2:

[1435] The user terminal transmits the input information on the business type, accounting policy, and account title master to the server, which then receives the necessary initial setting information from the user.

[1436] Step 3:

[1437] The server stores the received information on business type, accounting policy, and account master data in the database of the generation AI.The server then uses this data to ensure that the generation AI has the basic data necessary to generate accounting entries.

[1438] Step 4:

[1439] The user inputs the details of the transaction that occurred into the user terminal. For example, if there was a sale of 1,000 yen on December 1, 2023, the user would input the details of that transaction. In this way, the user provides specific transaction information to the system.

[1440] Step 5:

[1441] The user terminal transmits the entered transaction details to the server. At the same time, the user terminal acquires the user's facial expressions and voice data as they are entering the information, and transmits this data to the emotion engine. This allows the server to simultaneously receive transaction information and emotion information from the user.

[1442] Step 6:

[1443] The emotion engine analyzes the received user's facial expressions and voice data to understand the user's emotional state. For example, it determines whether the user is feeling stressed or anxious. This emotional information is then sent to the server.

[1444] Step 7:

[1445] The server passes the received transaction information and emotion information to the AI ​​generator, which then automatically generates accounting entries. The generated accounting entries include the transaction date, description, amount, and related account code. Based on the emotion information, the AI ​​displays input assistance and encouraging messages to the user as needed.

[1446] Step 8:

[1447] The server outputs the generated accounting entries to an Excel spreadsheet, where the user can review the entries. The emotion engine monitors the user's emotional state and provides feedback.

[1448] Step 9:

[1449] The server reads the transaction journal information from the generated Excel sheet, which gives the server the data to use in the next step.

[1450] Step 10:

[1451] The server automatically generates balance sheets, income statements, and cash flow statements based on the journal entry information it reads. Each financial statement is calculated and created based on standard accounting principles.

[1452] Step 11:

[1453] The server outputs the generated balance sheet, income statement, and cash flow statement to a new Excel spreadsheet, allowing the user to view and use these financial statements.

[1454] Step 12:

[1455] Users can download the output financial statements and use them for blue tax returns or management accounting. The emotion engine monitors the user's emotions throughout this process and continues to provide necessary support depending on the situation. This allows users to easily carry out the necessary accounting tasks.

[1456] This process allows users to effectively manage accounting information and quickly generate appropriate financial statements, while also taking into account their emotional state during the process, providing support to reduce stress and anxiety.

[1457] Example 2

[1458] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1459] For today's sole proprietors and small and medium-sized enterprises, accounting work is extremely complex, time-consuming, and requires specialized knowledge. Small businesses, in particular, have limited resources and find it difficult to allocate significant time to accounting work. Furthermore, systems that do not take the user's psychological state into consideration can lead to stressful tasks and reduced productivity. Therefore, there is a need for a system that can perform accounting work simply and efficiently, while also providing support that takes the user's emotional state into consideration.

[1460] The specific processing by the specific processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes a user terminal means for inputting the company's business type, accounting policy, and account item master, a means for receiving the business type, accounting policy, and account item master input from the user terminal and storing them in a database, a user terminal means for inputting transaction details, a means for receiving the transaction details and emotional information input from the user terminal, performing emotional analysis using an emotion engine, automatically generating accounting journal entries based on a generation AI, and outputting them to an Excel spreadsheet, and a means for reading transaction journal information from the Excel spreadsheet and automatically generating a balance sheet, income statement, and cash flow statement. This enables the efficiency and streamlining of accounting work, and is expected to reduce the workload and improve productivity by providing feedback according to the user's emotional state.

[1461] A "user terminal" is an input device that allows a user to input business type, accounting policy, account item master, and transaction details.

[1462] The "server means" is a computing device that receives and stores information input from a user terminal and executes the necessary processing.

[1463] An "emotion engine" is software that analyzes a user's facial expressions and voice data to determine their emotional state.

[1464] "Generative AI" is an artificial intelligence technology that automatically generates accounting entries based on information provided by the user.

[1465] An "Excel sheet" is a spreadsheet software sheet that visually displays generated accounting entries and financial statements.

[1466] "Accounting entries" are information used to record accounting information based on transaction details.

[1467] "Financial statements" means documents that show the financial position and business performance of a company, and include balance sheets, income statements, and cash flow statements.

[1468] This invention combines a system for enabling sole proprietors and small and medium-sized enterprises to efficiently perform accounting tasks with an emotion engine that recognizes the user's emotions. By using a user terminal, server means, and emotion engine, the system can consistently perform everything from registering a company's business type, accounting policy, and account item master data to inputting transaction details, generating accounting journal entries, automatically generating financial statements, and even providing feedback to the user.

[1469] First, the user terminal takes the form of a personal computer or smartphone, and provides an input means for the user to enter their company's business type, accounting policy, and account item master data. For example, the user enters "retail" as the business type, "accrual basis" as the accounting policy, and "cash (101)" and "sales (401)" as account items. In this way, the user provides the system with basic information about their company.

[1470] The server means is implemented on a cloud server (e.g., AWS or Google Cloud), receives information on business type, accounting policy, and account item master data sent from the user terminal, and stores it in a database. This allows the server to properly manage the input information and enable the generation AI to operate based on it. For example, the stored business type information and accounting policy information are used in subsequent accounting processing.

[1471] Next, the user enters the details of the transaction that occurred into the user terminal. For example, if there was a sale of 1,000 yen on December 1, 2023, the user would enter the details of that transaction. In this way, the user provides specific transaction information to the system.

[1472] When entering transaction details, the user device acquires emotional information from the user's facial expressions and voice, and sends it to the emotion engine. The emotion engine uses Microsoft Azure's Cognitive Services and Google Cloud's Natural Language API to analyze the user's emotional state and send it to the server.

[1473] The server passes the received transaction information and emotion information to the generation AI, which then automatically generates accounting entries. The generated accounting entries include the transaction date, description, amount, and related account code. Based on the emotion information, the server provides input assistance and encouraging messages to the user as needed. For example, if the user is feeling stressed, the message "Relax" is displayed.

[1474] The generated accounting entries are output to an Excel spreadsheet for user review, while the emotion engine takes into account the user's emotional information to provide feedback and flexibly adjust the review process.

[1475] The server then reads transaction journal information from the generated Excel spreadsheet and automatically generates balance sheets, income statements, and cash flow statements, each calculated and formed according to standard accounting principles.

[1476] The generated financial statements are also output as Excel sheets, which users can use for confirmation, blue tax return filing, and management accounting. The emotion engine monitors the user's emotions throughout this process and provides necessary support depending on the situation.

[1477] As a concrete example, suppose the user enters the following information:

[1478] Business type: Retail

[1479] Accounting policy: accrual basis

[1480] Account Master: Cash (101), Sales (401)

[1481] The transaction details entered by the user are as follows:

[1482] Date: December 1, 2023

[1483] Description: 1000 yen sales

[1484] Price: 1,000 yen

[1485] Account code: 401

[1486] If stress is detected from the user's facial expression when entering transaction details, the server will support the user by displaying a message such as "Please relax" based on the results of the emotion engine. The server outputs accounting entries generated based on the transaction details to an Excel spreadsheet so that the user can check them, and also automatically generates balance sheets, income statements, and cash flow statements and outputs them to Excel spreadsheets.

[1487] An example prompt is:

[1488] The user selected "Retail" as the business type and "Accrual basis" as the accounting policy, and set "Cash (101)" and "Sales (401)" as the account item master.

[1489] Generate accounting entries based on the following transactions:

[1490] Date: December 1, 2023

[1491] Description: 1000 yen sales

[1492] Price: 1000 yen

[1493] Account Code: 401

[1494] Also, the emotion engine detected stress when the user typed, so display the message "Relax."

[1495] This system allows users to perform accounting tasks efficiently, and the support provided by the emotion engine reduces the workload.

[1496] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1497] Step 1: Enter basic user information

[1498] The user enters their company's business type, accounting policy, and account item master data into the user terminal. For example, they enter "retail," "accrual basis," "cash (101)," and "sales (401)." The entered information is sent to the server by pressing the send button. Input: business type, accounting policy, account item master data. Output: the entered information is sent to the server as data.

[1499] Step 2: Send and store data

[1500] The terminal sends the information entered by the user on the business type, accounting policy, and account master to the server. The server saves the received data in the database. This ensures that the entered information is properly managed in the database. Input: Information sent from the user terminal. Output: Saved database entry.

[1501] Step 3: Enter your transaction details

[1502] The user enters the details of the transaction that occurred into the user terminal. For example, the transaction details are "December 1, 2023," sales of 1,000 yen, and "401." The entered information is sent to the server. Input: Transaction date, transaction description, transaction amount, account code. Output: The entered transaction details are sent to the server.

[1503] Step 4: Sentiment Analysis and Feedback

[1504] When entering transaction details, the terminal obtains emotional information from the user's facial expressions and voice and sends it to the emotion engine. The emotion engine analyzes this information and sends the user's emotional state to the server. The server generates a feedback message based on the emotional state and displays it on the user's terminal. For example, if the user is feeling stressed, a message saying "Please relax" is displayed. Input: facial expression data, voice data. Output: emotional state analysis results, feedback message.

[1505] Step 5: Automatic journal generation

[1506] The server passes transaction information and sentiment information to the generation AI. The generation AI automatically generates accounting entries based on this information and returns the results to the server. The generated accounting entries include the transaction date, description, amount, and related account code. Input: Transaction information, sentiment information. Output: Generated accounting entry data.

[1507] Step 6: Check and print journal information

[1508] The server automatically outputs the generated accounting entry information to an Excel spreadsheet. The created Excel spreadsheet is sent to the user's terminal so that the user can check it. Input: Generated accounting entry data. Output: Excel spreadsheet file.

[1509] Step 7: Auto-generate financial statements

[1510] The server reads transaction journal information from the generated Excel sheet and automatically generates balance sheets, income statements, and cash flow statements. The generated financial statements are output to new Excel sheets so that users can check and use them. Input: Excel sheet containing journal information. Output: Excel sheet files containing balance sheets, income statements, and cash flow statements.

[1511] For example, when a user inputs "Retail," "Accrual basis," "Cash (101)," and "Sales (401)," and then enters "December 1, 2023," "Sales of 1,000 yen," and "401" as transaction details, the emotion engine detects the user's stress. The message "Please relax" is displayed, and then accounting entries and financial statements are generated and output to an Excel spreadsheet.

[1512] (Application example 2)

[1513] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1514] Conventional accounting systems require users to manually input a large amount of accounting information on a daily basis, which often results in input errors and complication of work. Furthermore, the lack of support that takes into account the user's emotional state creates issues that lead to stress and fatigue. Furthermore, the lack of a system for efficiently processing and checking accounting information often places a heavy burden on small and medium-sized enterprises and sole proprietors.

[1515] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1516] In this invention, the server includes an information input device means for inputting the company's business type, accounting policy, and account title master, an integrated monitoring device means for receiving the business type, accounting policy, and account title master input from the information input device and storing them in the memory device of the generation AI, and an information input device means for inputting transaction details. This makes it possible to process accounting information efficiently and accurately and automatically generate financial statements while providing feedback that takes into account the user's emotional state.

[1517] The "information input device" is a device that allows a user to input information about the company's business type, accounting policy, account item master, and transaction details.

[1518] The "integrated monitoring device" is a device that receives data input from the information input device, stores it in the memory device of the generation AI, automatically generates accounting entries, and outputs them to a spreadsheet software sheet.

[1519] "Generative AI" is an artificial intelligence that generates accounting entries based on information entered by the user and automatically creates financial statements.

[1520] A "memory device" is a device for storing data necessary for the generation AI to operate.

[1521] An "emotion recognition device" is a device that acquires emotional information from a user's facial expressions and voice and analyzes their emotional state.

[1522] The "emotion feedback device" is a device that provides feedback to a user based on the emotion information analyzed by the emotion recognition device.

[1523] A "voice recognition device" is a device for converting a user's voice input into text data.

[1524] The "image capture device" is a camera device for capturing the user's facial expression.

[1525] A "spreadsheet software sheet" is a sheet of spreadsheet software on which accounting entries and financial statements are output and which the user can check.

[1526] This invention provides a system for streamlining checkout procedures in brick-and-mortar stores and providing support by taking into account the user's emotional state. The system uses an information input device, an integrated monitoring device, an emotion recognition device, an emotion feedback device, a voice recognition device, and an image capture device. Specific embodiments of the system are described below.

[1527] 1. Information input device

[1528] The information input device is a device for users to input accounting information, and corresponds to a mobile terminal such as a smartphone. The user inputs their company's business type, accounting policy, account item master, and transaction details through the information input device.

[1529] 2. Integrated monitoring device

[1530] The integrated monitoring device receives input accounting information, stores it in a memory device using generative AI, automatically generates accounting entries, and outputs them to a spreadsheet software. Specifically, this role is played by a server. The server analyzes the input information and automatically generates financial statements using a generative AI model that generates accounting entries.

[1531] 3. Emotion recognition device

[1532] The emotion recognition device is a device that analyzes a user's facial expressions and voice to acquire emotional information. This device includes a camera as an image acquisition device and a microphone as a voice recognition device. The emotion recognition device analyzes the user's emotional state based on the acquired facial and voice data and transmits the results to the integrated monitoring device.

[1533] 4. Emotional Feedback Device

[1534] The emotion feedback device is a device that provides feedback to a user based on emotion information analyzed by an emotion recognition device. For example, if the user is feeling stressed, it displays a message saying, "Please relax."

[1535] 5. Spreadsheet software sheet

[1536] The spreadsheet software is a sheet on which the generated accounting entries and financial statements are output, allowing the user to check the accounting information and make any necessary corrections or management.

[1537] Examples:

[1538] The user uses the information input device to input the following information:

[1539] Business type: Retail

[1540] Accounting policy: accrual basis

[1541] Account Master: Cash (101), Sales (401)

[1542] The deal is as follows:

[1543] Date: December 1, 2023

[1544] Description: 1000 yen sales

[1545] Price: 1,000 yen

[1546] Account code: 401

[1547] If the image capture device detects stress from the user's facial expression when entering transaction details, the emotion feedback device displays the message, "Please relax." The server outputs accounting entries generated based on the transaction details to a spreadsheet software, and also automatically generates balance sheets, income statements, and cash flow statements and outputs them to the spreadsheet software.

[1548] Example prompt sentence:

[1549] "Receive money December 1, 2023 1,000 yen"

[1550] "Expenses: December 1, 2023, transportation costs: 500 yen"

[1551] This allows users to efficiently manage accounting information and quickly generate appropriate financial statements using generative AI models. The addition of an emotion recognition device provides support that takes into account the user's emotional state, reducing the workload.

[1552] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1553] Step 1:

[1554] The user uses an information input device (smartphone or tablet) to input their company's business type, accounting policy, and account item master data. At this time, the user fills in the information according to the input form and presses the send button. The input includes data on "business type," "accounting policy," and "account item master data," and each data is sent to the server. The output is the company's basic information stored on the server.

[1555] Step 2:

[1556] The server receives the above information and stores it in the Generator AI's memory device. Specifically, the server analyzes the data on business type, accounting policy, and account master, and registers it in the Generator AI's database. This allows the user's basic accounting information to be managed. The input is the data on "business type," "accounting policy," and "account master" sent by the user, and the output is the data stored in the Generator AI's database.

[1557] Step 3:

[1558] The user can use the information input device to manually input the transaction details or use a voice recognition device to input the details by voice, for example, by using a prompt such as "Receive money December 1, 2023, 1,000 yen." The input is the specific data of the transaction details, and the output is the transaction input data generated by the information input device.

[1559] Step 4:

[1560] The video capture device (camera) and voice recognition device (microphone) capture the user's facial expressions and voice and send them to the emotion recognition device. The emotion recognition device analyzes the user's emotional state based on this data. The input is the user's facial expression data and voice data, and the output is analyzed emotional information.

[1561] Step 5:

[1562] The server analyzes the transaction details received from the information input device and the emotional information received from the emotion recognition device. The generation AI automatically generates accounting entries based on this data. The input is the transaction details and emotional information, and the output is the generated accounting entry data.

[1563] Step 6:

[1564] The generated accounting journal data is output to a spreadsheet software sheet so that the user can check it. The server displays this sheet to the user and prompts them to make corrections or add additional information as necessary. The input is the accounting journal data, and the output is the journal information displayed on the spreadsheet software sheet.

[1565] Step 7:

[1566] The server reads transaction journal information from a spreadsheet software sheet and automatically generates a balance sheet, income statement, and cash flow statement. The generated financial statements are also output to the spreadsheet software sheet so that the user can check and manage them. The input is the journal information read from the spreadsheet software sheet, and the output is the newly generated financial statements.

[1567] Step 8:

[1568] The emotion feedback device provides appropriate feedback to the user based on the emotion information from the emotion recognition device. For example, if the user is feeling stressed, a message saying "Please relax" is displayed. The input is the analyzed emotion information, and the output is a feedback message.

[1569] These processing steps enable the system of the present invention to provide support that takes into account the user's emotional state while allowing the user to efficiently manage their accounting information.

[1570] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1571] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1572] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1573] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1574] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1575] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1576] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1577] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1578] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1579] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1580] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1581] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1582] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1583] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[1584] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1585] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1586] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1587] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1588] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1589] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1590] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1591] The following is further disclosed regarding the above embodiment.

[1592] (Claim 1)

[1593] A user terminal for inputting the company's business type, accounting policy, and account item master data;

[1594] A server means for receiving the business type, accounting policy and account item master data input from the user terminal and storing them in a database of the generation AI;

[1595] a user terminal for inputting transaction details;

[1596] a server means for receiving transaction details input from the user terminal, automatically generating accounting entries, and outputting them to an Excel spreadsheet;

[1597] a server means for reading transaction journal information from the Excel sheet and automatically generating a balance sheet, a profit and loss statement, and a cash flow statement;

[1598] A system including:

[1599] (Claim 2)

[1600] The system of claim 1, wherein the accounting entries output by the generating AI are saved in an Excel sheet so that the user can review them.

[1601] (Claim 3)

[1602] 10. The system of claim 1, wherein the balance sheet, income statement, and cash flow statement automatically generated from the Excel sheet are output to a new Excel sheet.

[1603] "Example 1"

[1604] (Claim 1)

[1605] A user terminal for inputting the company's business type, accounting policy, and account item master data;

[1606] A server means for receiving the business type, accounting policy and account item master data input from the user terminal and storing them in a database of the generation AI;

[1607] a user terminal for inputting transaction details;

[1608] A server means for receiving transaction details input from the user terminal, automatically generating accounting entries using a generation AI model, and outputting the entries to an Excel spreadsheet;

[1609] a server means for reading transaction journal information from the Excel sheet and automatically generating a balance sheet, a profit and loss statement, and a cash flow statement;

[1610] A system including:

[1611] (Claim 2)

[1612] The system of claim 1, wherein the accounting entries output by the generating AI are saved in an Excel sheet so that the user can review them.

[1613] (Claim 3)

[1614] 10. The system of claim 1, wherein the balance sheet, income statement, and cash flow statement automatically generated from the Excel sheet are output to a new Excel sheet.

[1615] "Application Example 1"

[1616] (Claim 1)

[1617] A user terminal for inputting the company's business type, accounting policy, and account item master data;

[1618] A server means for receiving the business type, accounting policy and account item master data input from the user terminal and storing them in a database of the generation AI;

[1619] a user terminal for inputting transaction details;

[1620] a server means for receiving transaction details input from the user terminal, automatically generating accounting entries, and outputting them to an Excel spreadsheet;

[1621] a server means for reading transaction journal information from the Excel sheet and automatically generating a balance sheet, a profit and loss statement, and a cash flow statement;

[1622] a user terminal at the logistics center for inputting inventory management and product receiving / dispatching information;

[1623] A server means for automatically generating accounting journal entries from inventory management and incoming / outgoing information using the generation AI;

[1624] A system including:

[1625] (Claim 2)

[1626] The system of claim 1, wherein the accounting entries output by the generating AI are saved in an Excel sheet so that the user can review them.

[1627] (Claim 3)

[1628] 10. The system of claim 1, wherein the balance sheet, income statement, and cash flow statement automatically generated from the Excel sheet are output to a new Excel sheet.

[1629] "Example 2: Combining Emotion Engines"

[1630] (Claim 1)

[1631] A user terminal for inputting the company's business type, accounting policy, and account item master data;

[1632] a server means for receiving the business type, accounting policy and account item master data input from the user terminal and storing the data in a database;

[1633] a user terminal for inputting transaction details;

[1634] a server means for receiving transaction details and emotion information input from the user terminal, performing emotion analysis using an emotion engine, automatically generating accounting journal entries based on the generation AI, and outputting the entries to an Excel spreadsheet;

[1635] a server means for reading transaction journal information from the Excel sheet and automatically generating a balance sheet, a profit and loss statement, and a cash flow statement;

[1636] A system including:

[1637] (Claim 2)

[1638] 2. The system of claim 1, wherein the generated accounting entries and financial statements are saved in an Excel sheet for user review and use.

[1639] (Claim 3)

[1640] 10. The system of claim 1, further comprising means for providing feedback to the user based on the sentiment analysis results.

[1641] "Application example 2 when combining emotion engines"

[1642] (Claim 1)

[1643] an information input device for inputting the company's business type, accounting policy, and account item master;

[1644] An integrated monitoring device that receives the business type, accounting policy, and account item master data input from the information input device and stores them in a storage device of the generation AI;

[1645] an information input device for inputting transaction details;

[1646] an integrated monitoring device that receives transaction details input from the information input device, automatically generates accounting entries, and outputs them to a spreadsheet software sheet;

[1647] an integrated monitoring device that reads transaction journal information from the spreadsheet software sheet and automatically generates a balance sheet, a profit and loss statement, and a cash flow statement;

[1648] an emotion recognition device that acquires and analyzes emotion information of a user;

[1649] an emotion feedback device that provides feedback to a user based on emotion information;

[1650] A system including a voice recognition device and a video capture device.

[1651] (Claim 2)

[1652] The system of claim 1, wherein the accounting entries output by the generating AI are saved in a spreadsheet software sheet so that the user can view them.

[1653] (Claim 3)

[1654] 10. The system of claim 1, wherein the balance sheet, income statement, and cash flow statement automatically generated from the spreadsheet software sheet are output to a new spreadsheet software sheet. [Explanation of symbols]

[1655] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. A user terminal for inputting the company's business type, accounting policy, and account item master data; A server means for receiving the business type, accounting policy and account item master data input from the user terminal and storing them in a database of the generation AI; a user terminal for inputting transaction details; a server means for receiving transaction details input from the user terminal, automatically generating accounting entries, and outputting them to an Excel spreadsheet; a server means for reading transaction journal information from the Excel sheet and automatically generating a balance sheet, a profit and loss statement, and a cash flow statement; A system including:

2. The system of claim 1 , wherein the accounting entries output by the generating AI are saved in an Excel sheet so that the user can review them.

3. The system of claim 1 , wherein the balance sheet, income statement, and cash flow statement automatically generated from the Excel sheet are output to a new Excel sheet.

Images