system

Abstract

We provide the system. [Solution] A means of receiving input data from the user, A means for transmitting the input data to artificial intelligence and requesting data generation, A means of receiving materials generated by artificial intelligence, A means for integrating the received material into a predetermined format, A means for sending the integrated material to the user, A system that includes this.

Description

Technical Field

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

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, and includes steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a 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

Summary of the Invention

Problems to be Solved by the Invention

[0004] The conventional negotiation document creation process requires a lot of time and labor. Especially when creating different documents for each sales company or area, the workload further increases. Therefore, the person in charge has to spend a lot of time on document creation, and as a result, the quality of the documents may decline. In addition, there is also a risk of human errors in manual data entry and graph creation. There is a need for a system that solves these problems and creates negotiation documents efficiently and accurately.

Means for Solving the Problems

[0005] The present invention solves the above problem with a system that includes means for receiving input data from a user, means for transmitting the input data to artificial intelligence and requesting document generation, means for receiving the document generated by the artificial intelligence, means for integrating the received document into a predetermined format, and means for transmitting the integrated document to the user. Furthermore, the system includes means for providing a form for the user to input area and sales company information, means for transmitting the information entered through the form to a server, and means for receiving and displaying the document generated from the server. By providing input data including multiple sales data, means for automatically generating a graph based on the sales data, and means for integrating the automatically generated graph into a presentation format, the user can obtain high-quality sales materials in a short time. This significantly improves the efficiency and accuracy of document creation and reduces the risk of human error.

[0006] A "user" is an individual or organization that intends to use this system to create sales materials.

[0007] "Input data" refers to information that users provide to the system, such as area, sales company, and sales data.

[0008] "Artificial intelligence" is a technology or system that automatically generates materials based on user input data.

[0009] A "document generation request" is the process of asking artificial intelligence to create documents based on input data.

[0010] A "format" is a set of rules for integrating generated materials into a specific format or layout.

[0011] "Receiving means" refers to the function of receiving user input data and data generated by artificial intelligence.

[0012] The "transmission method" refers to a function that sends user input data to artificial intelligence and then sends the generated materials back to the user.

[0013] "Area" refers to a specific geographical area or region, and indicates the area for which sales data is analyzed.

[0014] A "sales company" is a company or sales department that sells specific products or services.

[0015] "Sales data" refers to information such as sales figures and sales volume for a specific product or service.

[0016] A "graph" is a diagram or chart used to visually represent sales data.

[0017] "Presentation format" refers to the layout of slides or reports used to effectively present business negotiation materials.

[0018] A "server" is a computer system that receives input data from users, sends requests for data generation to artificial intelligence, integrates the generated data, and returns it to the user.

[0019] A "terminal" is a device used by a user to access a system, send input data, and receive generated materials.

[0020] A "form" is an interface that users use to provide input data. [Brief explanation of the drawing]

[0021] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5]It is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] It shows an emotion map to which a plurality of emotions are mapped. [Figure 10] It shows an emotion map to which a plurality of emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when an emotion engine is combined. [[ID=2x6]] [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when an emotion engine is combined.

Embodiments for Carrying Out the Invention

[0022] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0023] First, the terms used in the following description will be explained.

[0024] In the following embodiments, the signed processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Furthermore, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include CPU (Central Processing Unit), GPU (Graphics Processing Unit), GPGPU (General-Purpose computing on Graphics Processing Units), and APU (Accelerated Processing Unit).

[0025] In the following embodiments, signed RAM (Random Access Memory) is a memory that temporarily stores information and is used as work memory by the processor.

[0026] In the following embodiments, the signed storage is one or more non-volatile storage devices that store various programs and various parameters. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes.

[0027] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0028] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0029] [First Embodiment]

[0030] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0031] As shown in Figure 1, the 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.

[0032] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0033] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0034] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and 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.

[0035] 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 perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0036] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0037] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0038] As shown in Figure 2, in the data processing device 12, a specific processing 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" related to the technology of this 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 according to the specific processing program 56 executed on the RAM 30.

[0039] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0040] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0041] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0042] This invention's system automates the creation of sales materials. Based on data entered by the user, artificial intelligence automatically generates the materials, integrates them into a predetermined format, and provides them to the user. The specific operation of the system is described below.

[0043] Server-side processing

[0044] The server receives multiple types of input data from the user. This data includes area names, sales company names, and corresponding sales data. After receiving this data, the server generates a request to the artificial intelligence API and sends the data to the AI.

[0045] The artificial intelligence generates sales materials based on the received data. Specifically, it creates graphs from sales data and formats them as PowerPoint slides. The AI ​​performs these processes and sends the generated slide data back to the server.

[0046] The server integrates the received slide data into a default format. This format includes a title page and table of contents, and sets up a consistent layout for the entire sales presentation. The integrated document is ultimately generated as a PPTX file.

[0047] Finally, the server sends the generated PPTX file to the user. This file is then presented to the user as a download link.

[0048] Terminal-side processing

[0049] When a user accesses the system, an input form is displayed. The user uses this form to enter necessary information such as area name, sales company name, and sales data. Once the user has finished entering the information, they click the "Generate Document" button. This action sends the entered data to the server.

[0050] When the server returns the generated sales opportunity documents, the terminal displays them to the user either as a download link or directly. The user can then review the generated documents and download them as needed.

[0051] User-side operations

[0052] The user enters the area name, distributor name, and related sales data into the system's input form. This input process allows for the inclusion of detailed sales data based on specific areas and distributors. Next, the user clicks the "Generate Data" button to send the data generation request to the server.

[0053] When sales materials are returned from the server, they are displayed on the user's terminal. Users can then review and download the displayed sales materials. As a result, users can obtain high-quality sales materials in a short amount of time, significantly reducing the time spent creating those materials.

[0054] Specific example

[0055] For example, suppose a user provides sales data for the "Kanto" area and "ABC Trading Company." This data includes sales information for "Product A" and "Product B." The user enters this information into an input form and requests data generation, and the server sends this data to the artificial intelligence.

[0056] Artificial intelligence generates sales graphs based on this data and converts them into PowerPoint slides. The server receives these slides, integrates them into a default format, and sends them to the user. The user can download the generated PPTX file and immediately use it in sales meetings.

[0057] Thus, the system of the present invention streamlines the creation of business negotiation materials and automates the process, thereby significantly reducing the burden on the user.

[0058] The following describes the processing flow.

[0059] Step 1: The user enters the area name, sales company name, and sales data into the terminal's input form. This includes sales data for products in the specified area and for each sales company. Once the user has finished entering the data, they click the "Generate Document" button.

[0060] Step 2: The terminal converts the data entered by the user into JSON format and sends a POST request to the server. This request includes the area name, sales company name, and sales data for each product.

[0061] Step 3: The server parses the POST request received from the terminal and retrieves the input data. This data passes through validation within the system to check for format accuracy and the presence of missing data.

[0062] Step 4: The server sends a data generation request to the artificial intelligence API based on the input data that has passed validation. The API request includes the area name, sales company name, and sales data.

[0063] Step 5: The artificial intelligence analyzes the data received from the server and generates graphs and sales materials based on sales data. The generated data is presented as slides and includes various graphs and data tables.

[0064] Step 6: The server receives the sales presentation data generated by the artificial intelligence. This data consists of slide files, images, and other elements.

[0065] Step 7: The server integrates the received sales opportunity data into a default format. This format includes a title page, a table of contents page, and detailed data pages for each area and sales company. After integration, the final sales opportunity document is generated in PPTX file format.

[0066] Step 8: The server sends the generated PPTX file to the user. The method of sending is to generate a download link and provide that link to the user.

[0067] Step 9: The terminal displays a download link received from the server to the user. The user clicks this link to download the final sales presentation materials.

[0068] Step 10: The user reviews the downloaded PPTX file and can use it in other business meetings or presentations as needed. This allows for high-quality materials to be created quickly, resulting in more efficient presentations.

[0069] (Example 1)

[0070] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0071] Traditional sales presentation material creation processes have been problematic because they require users to manually organize data, create graphs, and compile them into presentations, which is extremely time-consuming and labor-intensive. Furthermore, maintaining formatting consistency is difficult, leading to inconsistencies in the quality of the materials. To address these issues, it is necessary to provide a system that allows users to quickly generate high-quality, consistent sales presentation materials with simple operations.

[0072] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0073] In this invention, the server includes means for receiving input data from a user, means for sending the input data to an artificial intelligence model in the form of prompt statements and requesting the generation of materials, means for receiving slide data generated from the artificial intelligence model, means for integrating the received slide data into a unified format, and means for sending the integrated slide data to the user in presentation file format. This makes it possible for the artificial intelligence model to automatically generate sales materials based on data entered by the user, and to provide those materials in a consistent format.

[0074] "Means for receiving input data from users" refers to a system in which the server receives information such as area names, sales company names, and sales data entered by the user.

[0075] "Prompt format" refers to a textual format used to convey specific instructions to an artificial intelligence model based on data entered by the user.

[0076] An "artificial intelligence model" is an algorithm or system that performs natural language processing and data analysis to automatically generate sales materials based on user input data.

[0077] "Means of requesting document generation" refers to a system in which a server sends data in the form of prompt statements to an artificial intelligence model and requests the generation of business negotiation documents.

[0078] "Slide data generated from an artificial intelligence model" refers to presentation-style slide files automatically generated by an artificial intelligence model after analyzing user input data.

[0079] A "standardized format" refers to a template or style guide that is pre-configured to ensure a consistent layout and design for sales materials.

[0080] A "presentation file format" is a file format (e.g., a PPTX file) that can be viewed and edited by a user using presentation software.

[0081] "Means of sending to the user" refers to the mechanism by which the server sends the generated presentation file to the user's terminal (e.g., generating and notifying a download link).

[0082] "Means of providing an input form" refers to a web interface or application screen for users to input area names, sales company names, and sales data.

[0083] "Means of displaying download links" refers to a system that provides links or buttons to allow users to easily access and download the generated sales materials.

[0084] Modes for carrying out the invention

[0085] This invention is a system for automating the creation of business negotiation materials. A specific embodiment of the system is described below.

[0086] Server-side processing

[0087] The server receives input data from the user, including area name, sales company name, and sales data. This process is achieved by receiving data in JSON format via an HTTP POST request. The server parses the received JSON data and generates prompt statements for the artificial intelligence model. These prompt statements are generated as follows:

[0088] Please create sales materials based on the following data:

[0089] Area name: Kanto

[0090] Distributor name: ABC Trading Co., Ltd.

[0091] Sales data:

[0092] Product A: 5000 items

[0093] Product B: 3000 items

[0094] Using the generated prompt, the server requests the artificial intelligence model to generate materials. Examples of such AI models include OpenAI's GPT-3® and BERT. API requests are sent via HTTP POST, and the generated slide data is returned to the server in JSON format or binary data.

[0095] The server receives the returned slide data and integrates it into a default format. This format has a consistent layout, including a title page and table of contents page. The integration is performed using a library such as python-pptx. Finally, the server generates the integrated material as a PPTX file, uploads it to cloud storage (e.g., Amazon S3), and provides the user with a download link.

[0096] Terminal-side processing

[0097] When a user accesses the system, the terminal displays an input form. This form is generated using HTML and JavaScript (registered trademark), allowing the user to enter area name, sales company name, and sales data. When the user clicks the "Generate Data" button, the terminal sends the input data to the server. This transmission also uses an HTTP POST request.

[0098] When the server returns the generated sales materials, the terminal displays them to the user. The materials are displayed as a download link, which the user can click to download.

[0099] User-side operations

[0100] The user enters the required data into the system's input form. This input process can include detailed sales data based on specific areas or distributors. Once the input is complete, the user clicks the "Generate Document" button to send the document generation request to the server.

[0101] When sales materials are returned from the server, they are displayed on the user's device. Users can then review and download the displayed sales materials. This allows users to obtain high-quality sales materials in a short amount of time, significantly reducing the time spent creating them.

[0102] Specific example

[0103] For example, suppose a user has prepared sales data for the "Kanto" area and "ABC Trading Company." This data includes sales information for "Product A" and "Product B." The user enters this information into an input form and clicks the "Generate Document" button to request document generation.

[0104] The server receives input data and sends generated prompt messages to the artificial intelligence model. The AI ​​model generates sales graphs based on this data and converts them into PowerPoint slides. The server receives these slides, integrates them into a default format, and finally provides them to the user as a PPTX file.

[0105] Thus, the system of the present invention can significantly reduce the burden on users by streamlining the creation of sales materials and automating the entire process.

[0106] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0107] Step 1:

[0108] The server receives input data from the user via an HTTP POST request, including the area name, sales company name, and sales data. This data is in JSON format and is parsed after reception. Specifically, the JSON data is retrieved from request.body and converted into an object using Python's json library.

[0109] Input: User-entered area name, sales company name, sales data

[0110] Output: Parsed input data

[0111] Step 2:

[0112] The server generates prompts for the artificial intelligence model based on the received JSON data. These prompts specifically describe the instructions the AI ​​model needs to generate sales materials. An example of a generated prompt is as follows:

[0113] Please create sales materials based on the following data:

[0114] Area name: Kanto

[0115] Distributor name: ABC Trading Co., Ltd.

[0116] Sales data:

[0117] Product A: 5000 items

[0118] Product B: 3000 items

[0119] In terms of specific actions, the prompt statement is constructed using a string format.

[0120] Input: Parsed input data

[0121] Output: Generated prompt message

[0122] Step 3:

[0123] The server sends the generated prompt text to the AI ​​model's API via an HTTP POST request, requesting data generation. At this time, it is necessary to specify the API key and endpoint URL. Specifically, the requests library is used to send the API request.

[0124] Input: Generated prompt message

[0125] Output: Slide data returned from the artificial intelligence model (in JSON format or binary data)

[0126] Step 4:

[0127] The server receives slide data returned from the artificial intelligence model. This involves parsing the API response. Specifically, it analyzes the response data and extracts the necessary information.

[0128] Input: Slide data returned from the artificial intelligence model

[0129] Output: Analyzed slide data

[0130] Step 5:

[0131] The server integrates the parsed slide data into a default format. This format includes a title page and table of contents page, and a consistent design is applied. The python-pptx library is used to embed the slide data into the template.

[0132] Input: Analyzed slide data

[0133] Output: Sales materials integrated into a format

[0134] Step 6:

[0135] The server converts the integrated sales materials into a PPTX file and uploads it to cloud storage (e.g., Amazon S3). Specifically, it uses the boto3 library to upload the file to the S3 bucket.

[0136] Input: Sales materials integrated into the format

[0137] Output: URL link to the PPTX file on cloud storage

[0138] Step 7:

[0139] The server returns a download link for the generated PPTX file to the user. The link is returned as an HTTP response and displayed to the user. Specifically, the response object includes the URL link and is returned.

[0140] Input: URL link of a PPTX file on cloud storage

[0141] Output: Download link displayed to the user

[0142] Step 8:

[0143] When a user accesses the system, the terminal displays a form for the user to enter the area name, sales company name, and sales data. Specifically, HTML and JavaScript are used to generate the input form.

[0144] Input: None

[0145] Output: Displayed input form

[0146] Step 9:

[0147] The user enters the area name, sales company name, and sales data, then clicks the "Generate Document" button. This click sends the input data to the server. Specifically, the JavaScript fetch API is used to send the data.

[0148] Input: User-entered area name, sales company name, sales data

[0149] Output: Sending data to the server

[0150] Step 10:

[0151] When the generated sales materials are returned from the server, the terminal displays a download link for those materials to the user. The user can then click the link to download the materials. Specifically, the terminal generates and displays the link.

[0152] Input: Download link from server

[0153] Output: Download link displayed to the user

[0154] (Application Example 1)

[0155] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0156] Creating sales materials is often a time-consuming and laborious task, requiring specialized knowledge, especially when integrating multiple data sources to create a consistent presentation. Furthermore, factory management and sales activities demand immediate on-site responses, necessitating the rapid generation of sales materials. This necessitates factory managers and sales representatives to deliver quick and effective presentations, thereby improving productivity.

[0157] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0158] In this invention, the server includes means for receiving input data from a user, means for transmitting the input data to artificial intelligence and requesting document generation, means for receiving documents generated by the artificial intelligence, means for integrating the received documents into a predetermined format, means for transmitting the integrated documents to the user, means for receiving data entered into a form including area information, organizational information, and work information, means for performing a factory status analysis based on the received data, means for generating sales materials based on the factory status analysis, and means for formatting the sales materials into a presentation format. This enables the user to quickly and efficiently generate sales materials that reflect the factory status in real time on-site and immediately utilize them in sales negotiations and presentations.

[0159] "Input data" refers to information provided by the user to the system, including area information, organizational information, and work information.

[0160] "Artificial intelligence" refers to programs and systems that use technologies such as machine learning and natural language processing to automatically generate business negotiation materials based on received data.

[0161] A "document generation request" is a request instructing artificial intelligence to create sales negotiation materials based on input data provided by the user.

[0162] "Area information" refers to information about a specific region or location, and serves as basic data for creating business negotiation materials.

[0163] "Organizational information" refers to information about a specific group or company, and serves as basic data for creating business negotiation materials.

[0164] "Work information" refers to information about the activities and progress at factories and work sites, and serves as basic data for creating sales negotiation materials.

[0165] "Factory situation analysis" refers to the process of evaluating and analyzing the condition and efficiency of a factory or work site based on the provided area information, organizational information, and work information.

[0166] "Sales materials" refer to presentation slides and related documents generated by artificial intelligence that users use for sales negotiations and presentations.

[0167] A "presentation format" refers to a format that has been structured to present business negotiation materials visually and effectively.

[0168] The system for carrying out this invention is configured as follows.

[0169] Server-side processing

[0170] The server has a means of receiving input data from the user. This input data includes area information, organizational information, and work information. After receiving this input data, the server requests artificial intelligence (AI) to generate data. Specifically, it processes the input data, generates a request to the AI ​​API, and sends it to the AI.

[0171] The artificial intelligence generates sales materials based on the received data. Specifically, it analyzes the factory situation based on the input work data and formats the results into PowerPoint slides. The slide data generated by the AI ​​is sent back to the server. The server receives this slide data and integrates it into a predetermined format. The integrated material is finally generated as a PPTX file and sent to the user.

[0172] Terminal-side processing

[0173] When a user accesses the system, an input form is displayed. The user uses this form to enter necessary information such as area information, organizational information, and work information. Once the user has finished entering the information, they click the "Generate Document" button, and the entered data is sent to the server.

[0174] Once the server returns the generated sales opportunity documents, the terminal displays them to the user either as a download link or directly. The user can then review the generated sales opportunity documents and download and use them as needed.

[0175] Specific example of processing

[0176] For example, suppose a factory manager prepares work data for the "Kanto area" and "ABC organization." This data includes the operating hours and production volume of "Machine A" and "Machine B." The user enters this information into an input form and clicks the "Generate Data" button. The server receives this information and sends it to the artificial intelligence.

[0177] Artificial intelligence analyzes factory conditions based on this data and converts sales graphs and other information into PowerPoint slides. The server then receives the generated slides, integrates them into a predefined format, and sends them to the user. The user can download the generated PPTX file and immediately use it in business negotiations and presentations.

[0178] Hardware and software to be used

[0179] The hardware used will primarily consist of robots equipped with tablets or smart displays. This hardware will assist with data input from the user. The software used will be as follows:

[0180] Python: Used as a development language

[0181] Flask: Web application framework

[0182] pptx library: Used to generate PPT files

[0183] OpenAI API: Access artificial intelligence and perform data processing and analysis.

[0184] Example of a prompt

[0185] The following is a concrete example of a prompt message that the system sends to the generated AI model:

[0186] "Please generate a description for the sales graph based on the following sales data."

[0187] Area: Kanto

[0188] Organization: ABC organization

[0189] Operation data: Machine A: Operating time 100 hours, Production volume 1000 units; Machine B: Operating time 150 hours, Production volume 1500 units.

[0190] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0191] Step 1:

[0192] Users enter area information, organizational information, and work information into input forms on robots equipped with tablets or smart displays. The entered data includes specific geographical areas, company information, machine operating hours, and production volume. This input data is used as the system's initial data.

[0193] Step 2:

[0194] When the "Generate Document" button is clicked on the device, the device sends the entered data to the server. The input data is sent as an HTTP request and received at the server-side API endpoint. At this point, validation is performed to determine whether the input data was received correctly.

[0195] Step 3:

[0196] The server processes the received input data and generates a prompt message to request data generation from artificial intelligence (AI). This prompt message includes area information, organizational information, and work data. For example, the prompt message might be: "Generate a description of the sales graph based on the following sales data. Area: Kanto, Organization: ABC Organization, Work Data: Machine A: Operating hours 100 hours, Production volume 1000 units; Machine B: Operating hours 150 hours, Production volume 1500 units."

[0197] Step 4:

[0198] The server sends the generated prompt message to the artificial intelligence API (OpenAI API) to request the generation of sales presentation materials. The artificial intelligence analyzes the factory situation based on the input data and generates appropriate presentation slides. During this process, the AI ​​model analyzes text data and performs data processing to generate appropriate graphs and text.

[0199] Step 5:

[0200] The sales presentation materials generated by the artificial intelligence are returned to the server in PowerPoint slide format. The server further processes the received slide data and integrates it into a predetermined format. For example, it uses the pptx library to generate a PPTX file that includes a title page, a table of contents page, and pages containing specific analysis results.

[0201] Step 6:

[0202] The server then sends the final generated sales presentation document in PPTX format to the user. This document is provided as a download link, allowing the user to download it directly from their device. Additionally, the generated sales presentation document is displayed in real time on the device's screen.

[0203] Step 7:

[0204] Users can review the generated sales materials, download them as needed, and use them in sales negotiations and presentations. Because they can use these materials to provide specific details about the sales negotiations and factory conditions, efficient and effective presentations become possible.

[0205] Through the above processing steps, a system is realized that allows users to intelligently generate sales materials based on the data they input, and to use them quickly.

[0206] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0207] This invention provides a system for automating the creation of sales materials that recognizes the user's emotions and dynamically adjusts the content and expression of the materials using that emotional information, thereby providing more personalized sales materials. The specific operation of the system is described below.

[0208] Server-side processing

[0209] The server first receives multiple types of input data from the user. This data includes area names, sales company names, and their respective sales data. Simultaneously, the server uses an emotion engine to acquire emotional data from the user's input. The emotion engine evaluates emotions based, for example, on the speed at which the user types on the keyboard and on the feedback they provide.

[0210] Next, the server sends a document generation request to the artificial intelligence API based on this data. The data sent includes area names, sales company names, sales data for each product, and user sentiment data. The artificial intelligence analyzes this information and generates graphs and sales materials based on the sales data. In this process, it dynamically adjusts the content and expression of the materials based on the sentiment data. For example, if the user is feeling pressured, it can add more easily understandable graphs and explanations.

[0211] The artificial intelligence sends the generated sales presentation data back to the server. This data is presented as presentation slides and includes various graphs and data tables. The server integrates the received sales presentation data into a predetermined format. This format includes a title page, a table of contents page, and detailed data pages for each area and sales company. The final sales presentation is generated in PPTX file format.

[0212] Finally, the server sends the generated PPTX file to the user. This is done by generating a download link and providing that link to the user.

[0213] Terminal-side processing

[0214] When a user accesses the system, an input form is displayed. The user uses this form to enter necessary information such as area name, sales company name, and sales data. During input, the emotion engine monitors the user's input status and behavior, and collects emotion data. For example, it infers emotions from keyboard input speed and screen scrolling behavior.

[0215] Once the user has finished entering the data, they click the "Generate Document" button. This action sends the input data and sentiment data to the server. The sentiment data includes the user's stress level and satisfaction level.

[0216] When the server returns the generated sales opportunity materials, the terminal displays them to the user either as a download link or directly. The user can review the displayed sales opportunity materials and download them as needed.

[0217] User-side operations

[0218] The user enters the area name, sales company name, and related sales data into the system's input form. During the input process, the emotion engine operates to recognize the user's current emotions. Next, the user clicks the "Generate Data" button, sending the input data and emotion data to the server.

[0219] When sales materials are returned from the server, they are displayed on the user's device. Users can review and download the displayed materials. This ensures that materials are produced quickly, resulting in high-quality content and efficient presentations. Furthermore, personalized materials based on emotions make sales negotiations more effective.

[0220] Specific example

[0221] For example, suppose a user provides sales data for the "Kanto" area and "Sales Company A." This data includes sales information for "Product X" and "Product Y." The user enters this information into an input form and requests document generation. The server then sends this data along with sentiment data to the artificial intelligence. Based on this data, the AI ​​dynamically generates sales materials that are adjusted to include simpler, easier-to-understand graphs and explanations if the user is feeling pressured.

[0222] Thus, the system of the present invention not only streamlines the creation of sales negotiation materials and automates the process, but also supports more effective sales negotiations by personalizing them while taking user emotions into consideration.

[0223] The following describes the processing flow.

[0224] Step 1: The user enters the area name, sales company name, and sales data into the terminal's input form. In addition, the emotion engine monitors the user's keyboard input speed and mouse movements in real time and collects the user's emotional data (e.g., stress level and satisfaction level).

[0225] Step 2: The terminal converts the data entered by the user and the sentiment data collected by the sentiment engine into JSON format and sends it to the server as a POST request. This request includes the area name, sales company name, sales data for each product, and sentiment data.

[0226] Step 3: The server parses the POST request received from the terminal and retrieves the input data and sentiment data. First, it passes the data through validation within the system to check the accuracy of the data format and whether there is any missing data.

[0227] Step 4: The server sends a document generation request to the artificial intelligence API based on the validated input data and sentiment data. The API request includes area name, sales company name, sales data, and sentiment data.

[0228] Step 5: The artificial intelligence analyzes the data received from the server and generates graphs and sales materials based on sales data. During this process, it dynamically adjusts the content and presentation of the materials based on user sentiment data. For example, if the user is feeling stressed, simpler and easier-to-understand graphs and explanations are added.

[0229] Step 6: The server receives sales presentation data generated by artificial intelligence. This data consists of presentation slides, image files, and other similar materials.

[0230] Step 7: The server integrates the received sales opportunity data into a default format. This format includes a title page, a table of contents page, and detailed data pages for each area and sales company. After integration, the final sales opportunity document is generated in PPTX file format.

[0231] Step 8: The server sends the generated PPTX file to the user. The method of sending is to generate a download link and provide that link to the user.

[0232] Step 9: The terminal displays a download link received from the server to the user. The user clicks this link to download the final sales presentation materials.

[0233] Step 10: Users can review the downloaded PPTX file and use it in other sales meetings or presentations as needed. Personalized sales materials based on sentiment data make presentations more effective.

[0234] (Example 2)

[0235] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0236] Creating sales materials required users to manually adjust the content and format, which was time-consuming and laborious. Furthermore, the process often proceeded without considering the user's emotional state, leading to situations where they were prone to feeling pressure and stress. This sometimes prevented sales negotiations from achieving their full potential.

[0237] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0238] In this invention, the server includes means for receiving input data from a user, means for transmitting the input data to artificial intelligence and requesting material generation, means for receiving material generated by the artificial intelligence, means for integrating the received material into a predetermined format, means for transmitting the integrated material to the user, means for collecting and analyzing emotional data from the user at the time of input, and means for dynamically adjusting the content and expression of the material using the emotional data. This enables efficient material creation and the provision of personalized material based on the user's emotions.

[0239] A "user" is a person or organization that accesses the system, inputs data, and requests the generation of sales materials.

[0240] "Input data" refers to information necessary for generating sales materials, such as area names, sales company names, and sales data for each product.

[0241] "Artificial intelligence" refers to programs and algorithms that analyze given data, automatically generate sales materials, and dynamically adjust their content.

[0242] "Emotional data" refers to information about a user's emotional state, such as stress levels and satisfaction levels, collected from their actions and feedback during input.

[0243] A "document generation request" is a request in which the user asks the artificial intelligence to generate business negotiation materials based on the data they have entered.

[0244] "Default format" refers to the layout of presentation slides and documents used to organize generated sales materials into a consistent format.

[0245] An "emotion engine" is software that monitors user input behavior and analyzes and collects emotional data.

[0246] A "download link" is a URL that allows users to download generated sales materials via the internet.

[0247] This invention provides a system for automating the creation of sales materials that recognizes the user's emotions and dynamically adjusts the content and expression of the materials using that emotional information, thereby providing more personalized sales materials.

[0248] Server-side processing

[0249] The server provides an interface for receiving input data from the user. This data includes area names, vendor names, and sales data for each product. The server also uses an emotion engine to acquire emotional data from the user during input. The emotion engine evaluates the user's stress and satisfaction levels based on keyboard input speed and feedback.

[0250] The server sends a request to the artificial intelligence API to generate materials based on this data. The data sent includes area names, sales company names, sales data for each product, and user sentiment data. The artificial intelligence analyzes this information and, taking the user sentiment data into consideration, generates graphs and sales materials based on sales data. For example, if the user is feeling pressured, the content of the materials will be adjusted to a simpler and easier-to-understand format.

[0251] The artificial intelligence sends the generated sales presentation data back to the server. The server integrates the received sales presentation data into PPTX format. This format includes a title page, a table of contents page, and detailed data pages for each area and sales company.

[0252] Finally, the server sends the generated PPTX file to the user. This is done by generating a download link and providing that link to the user.

[0253] Terminal-side processing

[0254] When a user accesses the system, an input form is displayed. The user uses this form to enter necessary information such as area name, sales company name, and sales data. As the user enters information, the emotion engine monitors their input status and behavior, collecting emotion data. It infers emotions from keyboard input speed and screen scrolling behavior.

[0255] Once the input is complete, the user clicks the "Generate Document" button. This causes the device to send the input data and sentiment data to the server. When the server generates the sales presentation document and sends it back, the device displays it to the user either as a download link or directly. The user can review the displayed sales presentation document and download it if necessary.

[0256] User-side operations

[0257] The user enters the area name, sales company name, and related sales data into the system's input form. During this process, the emotion engine operates to recognize the user's current emotions. Next, the user clicks the "Generate Data" button, sending the input data and emotion data to the server.

[0258] When sales materials generated from the server are returned, they are displayed on the user's device. Users can review and download the displayed sales materials. Furthermore, because the materials are completed quickly, are of high quality, and are personalized based on emotions, sales negotiations proceed more effectively.

[0259] Specific example

[0260] For example, if a user enters sales data for the "Kanto" area and "Sales Company A," the input data will include sales information for "Product X" and "Product Y." The user enters this information into the input form and requests document generation. The server then sends this data along with sentiment data to artificial intelligence. Based on this data, the AI ​​dynamically generates sales materials that are adjusted to include simpler, easier-to-understand graphs and explanations if the user is feeling pressured. This system not only streamlines and automates the creation of sales materials, but also provides personalized materials that take the user's emotions into account.

[0261] Example of a prompt

[0262] The following are examples of prompts to input into a generative AI model:

[0263] The user has entered sales data for the "Kanto" area and "Sales Company A". This includes sales information for products X and Y. According to the user's sentiment data, they are feeling pressured. Based on this data, please generate sales materials that include easy-to-understand graphs and explanations to help alleviate this pressure.

[0264] By using this prompt, the generating AI model can automatically create the sales materials that the user needs.

[0265] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0266] Step 1:

[0267] The user accesses the system's input form and enters the area name, sales company name, and sales data for each product. After the input form is displayed, the user enters the sales data for the "Kanto" area, "Sales Company A," product X, and product Y into the form. As the input progresses, the emotion engine monitors the keyboard input speed and screen scrolling.

[0268] Input: User input of area name, sales company name, and sales data for each product.

[0269] Output: Collection of input dataset and sentiment data

[0270] Specific actions:

[0271] The user enters the area name "Kanto" and the sales company name "Sales Company A".

[0272] The user enters sales data for product X (100 units) and product Y (50 units).

[0273] The emotion engine analyzes input speed and collects emotional data.

[0274] Step 2:

[0275] When the user clicks the "Generate Data" button, the device sends the entered data and collected sentiment data to the server. The server receives this data and uses a sentiment engine to evaluate the user's emotional state.

[0276] Input: User clicks the "Generate Document" button.

[0277] Output: Input data and sentiment data sent to the server

[0278] Specific actions:

[0279] The user clicks the "Generate Document" button.

[0280] The server receives input data and sentiment data.

[0281] The emotion engine evaluated the user's emotional state as "feeling pressured."

[0282] Step 3:

[0283] Based on the received data, the server creates a request to the artificial intelligence API. The request includes the area name, the name of the selling company, the sales data of each product, and the user's sentiment data.

[0284] Input: Received input data and sentiment data

[0285] Output: Request data to be sent to the artificial intelligence API

[0286] Specific operations:

[0287] The server sends a request indicating "Kanto area, selling company A, sales data of products X and Y, and a user with a feeling of pressure" to the artificial intelligence API

[0288] Step 4:

[0289] The artificial intelligence analyzes the provided data and generates negotiation materials. At this time, if the user feels pressure, the content of the materials is adjusted to a simpler and more understandable format.

[0290] Input: Request data sent to the artificial intelligence API

[0291] Output: Generated negotiation materials data

[0292] Specific operations:

[0293] The artificial intelligence converts a complex bar graph into a simple pie chart

[0294] Add more specific and detailed explanatory texts

[0295] Step 5:

[0296] The server receives the generated materials returned by the artificial intelligence and integrates them into the PPTX format. The format includes a title page, a contents page, and detailed data pages for each area and selling company.

[0297] Input: Negotiation material data returned from the AI API

[0298] Output: Integrated negotiation materials in PPTX format

[0299] Specific operations:

[0300] Integrate various graphs and explanations into slides in PPTX format

[0301] Apply standard formats such as the title page and contents page

[0302] Step 6:

[0303] The server saves the completed PPTX file and generates a download link. By providing this link to the user, the user can easily download the file.

[0304] Input: Integrated PPTX file

[0305] Output: Generated download link

[0306] Specific operations:

[0307] The server saves the PPTX file and generates a download link

[0308] Send the download link to the user's contact email

[0309] Step 7:

[0310] The user clicks on the provided download link to obtain the generated negotiation materials. Check the materials and make additional edits if necessary.

[0311] Input: Generated download link

[0312] Output: Downloaded negotiation materials

[0313] Specific actions:

[0314] The user clicked the download link in the email.

[0315] Check the downloaded PPTX file and review the slide content.

[0316] (Application Example 2)

[0317] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0318] Traditional sales presentation system creation methods failed to consider the user's emotional state, making it difficult to create personalized materials tailored to individual needs. Furthermore, it was impossible to grasp the emotional state in real time during a sales meeting and dynamically adjust materials and presentation methods accordingly. This resulted in limited effectiveness of sales meetings and decreased user satisfaction.

[0319] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0320] In this invention, the server includes means for receiving input data from a user, means for transmitting the input data to artificial intelligence and requesting the generation of materials, means for receiving materials generated by the artificial intelligence, means for integrating the received materials into a predetermined format, means for transmitting the integrated materials to the user, means for collecting user emotion data, means for dynamically adjusting the content of the materials generated based on the emotion data, and means for collecting the emotion data and displaying it on a display device during a business negotiation. This makes it possible to create personalized materials that take into account the user's emotional state and to provide presentations that reflect emotional information in real time during a business negotiation.

[0321] "Means for receiving input data from users" refers to devices or methods for collecting information such as area names, sales company names, and sales data provided by users.

[0322] "Means for sending data to artificial intelligence and requesting document generation" refers to a device or method that sends received user input data to an artificial intelligence system and requests the system to automatically create documents for business negotiations.

[0323] "Means for receiving materials generated by artificial intelligence" refers to a device or method for receiving business negotiation materials generated by an artificial intelligence system.

[0324] "Means of integrating into a default format" refers to a device or method for organizing and editing received business negotiation materials to conform to a standard format such as a presentation format.

[0325] "Means of transmission to the user" refers to a device or method for providing integrated sales materials to the user.

[0326] "Means for collecting user emotional data" refers to a device or method for detecting and collecting data on a user's emotional state (e.g., stress level or satisfaction level).

[0327] "Means for dynamically adjusting the content of generated materials" refers to a device or method for changing and adjusting the content and presentation of sales materials in real time based on collected sentiment data.

[0328] "Means for collecting emotional data and presenting it on a display device during a business negotiation" refers to a device or method for collecting user emotional data and visually presenting it through a display device such as smart glasses during the progress of a business negotiation.

[0329] The "form for entering area and sales company information" is an interface for users to enter information such as the area name and sales company name.

[0330] "Means for sending to the server" refers to a device or method for sending input information to a server for processing.

[0331] "Means of display" refers to a device or method for visually displaying generated materials on a terminal or other device.

[0332] "Means for automatically generating graphs based on sales data" refers to a device or method that automatically creates graphs using artificial intelligence based on multiple sales data entered by a user.

[0333] "Means for integrating into presentation format" refers to a device or method for integrating automatically generated graphs to adapt them to the presentation format of sales materials.

[0334] "Means for dynamically adjusting presentation methods" refers to a device or method that changes the presentation style and the way materials are presented in real time based on user sentiment data.

[0335] This invention is a system that automatically generates and dynamically adjusts sales materials while taking into account the user's emotional information. This invention is particularly effective in situations where the user uses smart glasses for sales negotiations or presentations. A specific embodiment of the system is shown below.

[0336] Server-side processing

[0337] Hardware and software

[0338] Hardware used: Data server, network interface

[0339] Software used: Python, artificial intelligence APIs (e.g., OpenAI API), database management system

[0340] Data processing flow

[0341] The server first receives multiple types of input data from the user. This includes area names, sales company names, and sales data for each product. If the user is wearing smart glasses, emotional data is also acquired from the smart glasses' sensors. Emotional data is updated in real time and collected based on the user's input speed and information from the glasses' screen operation.

[0342] Based on this data, the server sends a request to the artificial intelligence API to generate materials. The data sent includes user input data and sentiment data. The artificial intelligence analyzes this information and generates graphs and sales materials based on sales data. During this process, the content and presentation of the materials are dynamically adjusted based on the user's sentiment data.

[0343] For example, if the user is feeling pressured, clearer graphs or explanations may be added. The generated sales materials will be in presentation slide format and will include various graphs and data tables. The server will integrate the received materials into a default format and generate the final sales materials in PPTX file format. The final materials will be sent in a format that generates a download link and provides that link to the user.

[0344] Terminal-side processing

[0345] Hardware and software

[0346] Hardware used: Smart glasses, user devices (smartphones, tablets, etc.)

[0347] Software used: Web browser, data entry form, display application

[0348] Data processing flow

[0349] When a user accesses the system, an input form is displayed. The user uses this form to enter necessary information such as the area name, sales company name, and sales data. During the input process, the smart glasses collect the user's emotional data and send it to the server.

[0350] When a user clicks the "Generate Document" button, the input data and sentiment data are sent to the server. Once the server generates the sales presentation document and sends it back, the terminal displays it to the user either as a download link or directly. The user can review the displayed sales presentation document and download it if necessary.

[0351] User-side operations

[0352] The user enters the area name, sales company name, and relevant sales data into the system's input form. During the input process, smart glasses operate, collecting the user's current emotional data and sending it to the server. Next, the user clicks the "Generate Document" button, sending the input data and emotional data to the server. The sales materials returned from the server are displayed on the user's device, which the user can review and download. This ensures that high-quality materials are produced quickly, leading to more efficient sales negotiations. Furthermore, personalized materials based on emotions make sales negotiations even more effective.

[0353] Specific example

[0354] For example, suppose a user provides sales data for the "Kanto" area and "Sales Company A." This data includes sales information for "Product X" and "Product Y." The user enters this information into an input form and requests document generation. The server then sends this data along with sentiment data to the artificial intelligence. Based on this data, the AI ​​dynamically generates sales materials that are adjusted to include simpler, easier-to-understand graphs and explanations if the user is feeling pressured.

[0355] Examples of prompts to input into a generative AI model:

[0356] "Based on sales data for products X and Y from sales company A in the Kanto area, please create a sales presentation document that includes easy-to-understand graphs and explanations illustrating when users are feeling pressured."

[0357] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0358] Step 1:

[0359] The user accesses the system, and an input form is displayed. The user enters necessary information such as area name, distributor name, and sales data. The smart glasses collect the user's emotional data in real time. This includes input speed, eye movements, and facial expressions. Input: Area name, distributor name, sales data, emotional data. Output: Input data and emotional data.

[0360] Step 2:

[0361] When a user clicks the "Generate Data" button, input data and sentiment data are sent to the server. This transmission uses the HTTPS protocol. Input: Request to the server. Output: Request containing input data and sentiment data.

[0362] Step 3:

[0363] The server analyzes the received input data and sentiment data and sends a data generation request to the artificial intelligence API. Input data includes area names, sales company names, and sales data, while sentiment data includes stress levels and satisfaction levels. Input: Area names, sales company names, sales data, sentiment data. Output: Request to the artificial intelligence API.

[0364] Step 4:

[0365] The artificial intelligence API generates sales materials based on the submitted data. It dynamically adjusts the content and presentation of the materials, taking emotional data into consideration, for example, by adding simple and easy-to-understand graphs and explanations if the user is feeling pressured. Input: Area name, sales company name, sales data, emotional data. Output: Generated sales materials.

[0366] Step 5:

[0367] The AI ​​API sends the sales negotiation materials back to the server. The server integrates the received sales negotiation materials into a default format and creates presentation slides (PPTX file format). Input: Generated sales negotiation materials. Output: Slides integrated into the default format.

[0368] Step 6:

[0369] The server sends the generated sales materials (in PPTX file format) to the user. The method of delivery involves generating a download link and providing that link to the user. Input: PPTX file. Output: Download link.

[0370] Step 7:

[0371] The user clicks a download link on their device to download or view the sales materials. The user reviews the materials and uses them during the sales meeting as needed. Emotional data is continuously collected during the meeting via smart glasses, allowing for real-time adjustments to the presentation method. Input: Download link. Output: Sales materials.

[0372] 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 user input for the result of the specific processing. The control unit 46A transmits the audio data indicating 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.

[0373] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0374] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0375] [Second Embodiment]

[0376] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0377] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0378] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0379] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0380] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0381] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0382] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0383] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0384] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[0385] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0386] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0387] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. 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".

[0388] This invention's system automates the creation of sales materials. Based on data entered by the user, artificial intelligence automatically generates the materials, integrates them into a predetermined format, and provides them to the user. The specific operation of the system is described below.

[0389] Server-side processing

[0390] The server receives multiple types of input data from the user. This data includes area names, sales company names, and corresponding sales data. After receiving this data, the server generates a request to the artificial intelligence API and sends the data to the AI.

[0391] The artificial intelligence generates sales materials based on the received data. Specifically, it creates graphs from sales data and formats them as PowerPoint slides. The AI ​​performs these processes and sends the generated slide data back to the server.

[0392] The server integrates the received slide data into a default format. This format includes a title page and table of contents, and sets up a consistent layout for the entire sales presentation. The integrated document is ultimately generated as a PPTX file.

[0393] Finally, the server sends the generated PPTX file to the user. This file is then presented to the user as a download link.

[0394] Terminal-side processing

[0395] When a user accesses the system, an input form is displayed. The user uses this form to enter necessary information such as area name, sales company name, and sales data. Once the user has finished entering the information, they click the "Generate Document" button. This action sends the entered data to the server.

[0396] When the server returns the generated sales opportunity documents, the terminal displays them to the user either as a download link or directly. The user can then review the generated documents and download them as needed.

[0397] User-side operations

[0398] The user enters the area name, distributor name, and related sales data into the system's input form. This input process allows for the inclusion of detailed sales data based on specific areas and distributors. Next, the user clicks the "Generate Data" button to send the data generation request to the server.

[0399] When sales materials are returned from the server, they are displayed on the user's terminal. Users can then review and download the displayed sales materials. As a result, users can obtain high-quality sales materials in a short amount of time, significantly reducing the time spent creating those materials.

[0400] Specific example

[0401] For example, suppose a user provides sales data for the "Kanto" area and "ABC Trading Company." This data includes sales information for "Product A" and "Product B." The user enters this information into an input form and requests data generation, and the server sends this data to the artificial intelligence.

[0402] Artificial intelligence generates sales graphs based on this data and converts them into PowerPoint slides. The server receives these slides, integrates them into a default format, and sends them to the user. The user can download the generated PPTX file and immediately use it in sales meetings.

[0403] Thus, the system of the present invention streamlines the creation of business negotiation materials and automates the process, thereby significantly reducing the burden on the user.

[0404] The following describes the processing flow.

[0405] Step 1: The user enters the area name, sales company name, and sales data into the terminal's input form. This includes sales data for products in the specified area and for each sales company. Once the user has finished entering the data, they click the "Generate Document" button.

[0406] Step 2: The terminal converts the data entered by the user into JSON format and sends a POST request to the server. This request includes the area name, sales company name, and sales data for each product.

[0407] Step 3: The server parses the POST request received from the terminal and retrieves the input data. This data passes through validation within the system to check for format accuracy and the presence of missing data.

[0408] Step 4: The server sends a data generation request to the artificial intelligence API based on the input data that has passed validation. The API request includes the area name, sales company name, and sales data.

[0409] Step 5: The artificial intelligence analyzes the data received from the server and generates graphs and sales materials based on sales data. The generated data is presented as slides and includes various graphs and data tables.

[0410] Step 6: The server receives the sales presentation data generated by the artificial intelligence. This data consists of slide files, images, and other elements.

[0411] Step 7: The server integrates the received sales opportunity data into a default format. This format includes a title page, a table of contents page, and detailed data pages for each area and sales company. After integration, the final sales opportunity document is generated in PPTX file format.

[0412] Step 8: The server sends the generated PPTX file to the user. The method of sending is to generate a download link and provide that link to the user.

[0413] Step 9: The terminal displays a download link received from the server to the user. The user clicks this link to download the final sales presentation materials.

[0414] Step 10: The user reviews the downloaded PPTX file and can use it in other business meetings or presentations as needed. This allows for high-quality materials to be created quickly, resulting in more efficient presentations.

[0415] (Example 1)

[0416] Next, we will describe Example 1. 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."

[0417] Traditional sales presentation material creation processes have been problematic because they require users to manually organize data, create graphs, and compile them into presentations, which is extremely time-consuming and labor-intensive. Furthermore, maintaining formatting consistency is difficult, leading to inconsistencies in the quality of the materials. To address these issues, it is necessary to provide a system that allows users to quickly generate high-quality, consistent sales presentation materials with simple operations.

[0418] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0419] In this invention, the server includes means for receiving input data from a user, means for sending the input data to an artificial intelligence model in the form of prompt statements and requesting the generation of materials, means for receiving slide data generated from the artificial intelligence model, means for integrating the received slide data into a unified format, and means for sending the integrated slide data to the user in presentation file format. This makes it possible for the artificial intelligence model to automatically generate sales materials based on data entered by the user, and to provide those materials in a consistent format.

[0420] "Means of receiving input data from users" refers to a system in which the server receives information such as area names, sales company names, and sales data entered by the user.

[0421] "Prompt format" refers to a textual format used to convey specific instructions to an artificial intelligence model based on data entered by the user.

[0422] An "artificial intelligence model" is an algorithm or system that performs natural language processing and data analysis to automatically generate sales materials based on user input data.

[0423] "Means of requesting document generation" refers to a system in which a server sends data in the form of prompt statements to an artificial intelligence model and requests the generation of business negotiation documents.

[0424] "Slide data generated from an artificial intelligence model" refers to presentation-style slide files automatically generated by an artificial intelligence model after analyzing user input data.

[0425] A "standardized format" refers to a template or style guide that is pre-configured to ensure a consistent layout and design for sales materials.

[0426] A "presentation file format" is a file format (e.g., a PPTX file) that can be viewed and edited by a user using presentation software.

[0427] "Means of sending to the user" refers to the mechanism by which the server sends the generated presentation file to the user's terminal (e.g., generating and notifying a download link).

[0428] "Means of providing an input form" refers to a web interface or application screen for users to input area names, sales company names, and sales data.

[0429] "Means of displaying download links" refers to a system that provides links or buttons to allow users to easily access and download the generated sales materials.

[0430] Modes for carrying out the invention

[0431] This invention is a system for automating the creation of business negotiation materials. A specific embodiment of the system is described below.

[0432] Server-side processing

[0433] The server receives input data from the user, including area name, sales company name, and sales data. This process is achieved by receiving data in JSON format via an HTTP POST request. The server parses the received JSON data and generates prompt statements for the artificial intelligence model. These prompt statements are generated as follows:

[0434] Please create sales materials based on the following data:

[0435] Area name: Kanto

[0436] Distributor name: ABC Trading Co., Ltd.

[0437] Sales data:

[0438] Product A: 5000 items

[0439] Product B: 3000 items

[0440] Using the generated prompt, the server requests the artificial intelligence model to generate materials. Examples of such AI models include OpenAI's GPT-3 and BERT. API requests are sent via HTTP POST, and the generated slide data is returned to the server in JSON format or binary data.

[0441] The server receives the returned slide data and integrates it into a default format. This format has a consistent layout, including a title page and table of contents page. The integration is performed using a library such as python-pptx. Finally, the server generates the integrated material as a PPTX file, uploads it to cloud storage (e.g., Amazon S3), and provides the user with a download link.

[0442] Terminal-side processing

[0443] When a user accesses the system, the terminal displays an input form. This form is generated using HTML and JavaScript, allowing the user to enter area name, sales company name, and sales data. When the user clicks the "Generate Document" button, the terminal sends the input data to the server. This transmission also uses an HTTP POST request.

[0444] When the server returns the generated sales materials, the terminal displays them to the user. The materials are displayed as a download link, which the user can click to download.

[0445] User-side operations

[0446] The user enters the required data into the system's input form. This input process can include detailed sales data based on specific areas or distributors. Once the input is complete, the user clicks the "Generate Document" button to send the document generation request to the server.

[0447] When sales materials are returned from the server, they are displayed on the user's device. Users can then review and download the displayed sales materials. This allows users to obtain high-quality sales materials in a short amount of time, significantly reducing the time spent creating those materials.

[0448] Specific example

[0449] For example, suppose a user has prepared sales data for the "Kanto" area and "ABC Trading Company." This data includes sales information for "Product A" and "Product B." The user enters this information into an input form and clicks the "Generate Document" button to request document generation.

[0450] The server receives input data and sends generated prompt messages to the artificial intelligence model. The AI ​​model generates sales graphs based on this data and converts them into PowerPoint slides. The server receives these slides, integrates them into a default format, and finally provides them to the user as a PPTX file.

[0451] Thus, the system of the present invention can significantly reduce the burden on users by streamlining the creation of sales materials and automating the entire process.

[0452] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0453] Step 1:

[0454] The server receives input data from the user via an HTTP POST request, including the area name, sales company name, and sales data. This data is in JSON format and is parsed after reception. Specifically, the JSON data is retrieved from request.body and converted into an object using Python's json library.

[0455] Input: User-entered area name, sales company name, sales data

[0456] Output: Parsed input data

[0457] Step 2:

[0458] The server generates prompts for the artificial intelligence model based on the received JSON data. These prompts specifically describe the instructions the AI ​​model needs to generate sales materials. An example of a generated prompt is as follows:

[0459] Please create sales materials based on the following data:

[0460] Area name: Kanto

[0461] Distributor name: ABC Trading Co., Ltd.

[0462] Sales data:

[0463] Product A: 5000 items

[0464] Product B: 3000 items

[0465] In terms of specific actions, the prompt statement is constructed using a string format.

[0466] Input: Parsed input data

[0467] Output: Generated prompt message

[0468] Step 3:

[0469] The server sends the generated prompt text to the AI ​​model's API via an HTTP POST request, requesting data generation. This requires specifying the API key and endpoint URL. Specifically, the requests library is used to send the API request.

[0470] Input: Generated prompt message

[0471] Output: Slide data returned from the artificial intelligence model (in JSON format or binary data)

[0472] Step 4:

[0473] The server receives slide data returned from the artificial intelligence model. This involves parsing the API response. Specifically, it analyzes the response data and extracts the necessary information.

[0474] Input: Slide data returned from the artificial intelligence model

[0475] Output: Analyzed slide data

[0476] Step 5:

[0477] The server integrates the parsed slide data into a default format. This format includes a title page and table of contents page, and a consistent design is applied. The python-pptx library is used to embed the slide data into the template.

[0478] Input: Analyzed slide data

[0479] Output: Sales materials integrated into a format

[0480] Step 6:

[0481] The server converts the integrated sales materials into a PPTX file and uploads it to cloud storage (e.g., Amazon S3). Specifically, it uses the boto3 library to upload the file to the S3 bucket.

[0482] Input: Sales materials integrated into the format

[0483] Output: URL link to the PPTX file on cloud storage

[0484] Step 7:

[0485] The server returns a download link for the generated PPTX file to the user. The link is returned as an HTTP response and displayed to the user. Specifically, the response object includes the URL link and is returned.

[0486] Input: URL link of a PPTX file on cloud storage

[0487] Output: Download link displayed to the user

[0488] Step 8:

[0489] When a user accesses the system, the terminal displays a form for the user to enter the area name, sales company name, and sales data. Specifically, HTML and JavaScript are used to generate the input form.

[0490] Input: None

[0491] Output: Displayed input form

[0492] Step 9:

[0493] The user enters the area name, sales company name, and sales data, then clicks the "Generate Document" button. This click sends the input data to the server. Specifically, the JavaScript fetch API is used to send the data.

[0494] Input: User-entered area name, sales company name, sales data

[0495] Output: Sending data to the server

[0496] Step 10:

[0497] When the generated sales materials are returned from the server, the terminal displays a download link for those materials to the user. The user can then click the link to download the materials. Specifically, the terminal generates and displays the link.

[0498] Input: Download link from server

[0499] Output: Download link displayed to the user

[0500] (Application Example 1)

[0501] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0502] Creating sales materials is often a time-consuming and laborious task, requiring specialized knowledge, especially when integrating multiple data sources to create a consistent presentation. Furthermore, factory management and sales activities demand immediate on-site responses, necessitating the rapid generation of sales materials. This necessitates factory managers and sales representatives to deliver quick and effective presentations, thereby improving productivity.

[0503] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0504] In this invention, the server includes means for receiving input data from a user, means for transmitting the input data to artificial intelligence and requesting document generation, means for receiving documents generated by the artificial intelligence, means for integrating the received documents into a predetermined format, means for transmitting the integrated documents to the user, means for receiving data entered into a form including area information, organizational information, and work information, means for performing a factory status analysis based on the received data, means for generating sales materials based on the factory status analysis, and means for formatting the sales materials into a presentation format. This enables the user to quickly and efficiently generate sales materials that reflect the factory status in real time on-site and immediately utilize them in sales negotiations and presentations.

[0505] "Input data" refers to information provided by the user to the system, including area information, organizational information, and work information.

[0506] "Artificial intelligence" refers to programs and systems that use technologies such as machine learning and natural language processing to automatically generate business negotiation materials based on received data.

[0507] A "document generation request" is a request instructing artificial intelligence to create sales negotiation materials based on input data provided by the user.

[0508] "Area information" refers to information about a specific region or location, and serves as basic data for creating business negotiation materials.

[0509] "Organizational information" refers to information about a specific group or company, and serves as basic data for creating business negotiation materials.

[0510] "Work information" refers to information about the activities and progress at factories and work sites, and serves as basic data for creating sales negotiation materials.

[0511] "Factory situation analysis" refers to the process of evaluating and analyzing the condition and efficiency of a factory or work site based on the provided area information, organizational information, and work information.

[0512] "Sales materials" refer to presentation slides and related documents generated by artificial intelligence that users use for sales negotiations and presentations.

[0513] A "presentation format" refers to a format that has been structured to present business negotiation materials visually and effectively.

[0514] The system for carrying out this invention is configured as follows.

[0515] Server-side processing

[0516] The server has a means of receiving input data from the user. This input data includes area information, organizational information, and work information. After receiving this input data, the server requests artificial intelligence (AI) to generate data. Specifically, it processes the input data, generates a request to the AI ​​API, and sends it to the AI.

[0517] The artificial intelligence generates sales materials based on the received data. Specifically, it analyzes the factory situation based on the input work data and formats the results into PowerPoint slides. The slide data generated by the AI ​​is sent back to the server. The server receives this slide data and integrates it into a predetermined format. The integrated material is finally generated as a PPTX file and sent to the user.

[0518] Terminal-side processing

[0519] When a user accesses the system, an input form is displayed. The user uses this form to enter necessary information such as area information, organizational information, and work information. Once the user has finished entering the information, they click the "Generate Document" button, and the entered data is sent to the server.

[0520] Once the server returns the generated sales opportunity documents, the terminal displays them to the user either as a download link or directly. The user can then review the generated sales opportunity documents and download and use them as needed.

[0521] Specific example of processing

[0522] For example, suppose a factory manager prepares work data for the "Kanto area" and "ABC organization." This data includes the operating hours and production volume of "Machine A" and "Machine B." The user enters this information into an input form and clicks the "Generate Data" button. The server receives this information and sends it to the artificial intelligence.

[0523] Artificial intelligence analyzes factory conditions based on this data and converts sales graphs and other information into PowerPoint slides. The server then receives the generated slides, integrates them into a predefined format, and sends them to the user. The user can download the generated PPTX file and immediately use it in business negotiations and presentations.

[0524] Hardware and software to be used

[0525] The hardware used will primarily consist of robots equipped with tablets or smart displays. This hardware will assist with data input from the user. The software used will be as follows:

[0526] Python: Used as a development language

[0527] Flask: Web application framework

[0528] pptx library: Used to generate PPT files

[0529] OpenAI API: Access artificial intelligence and perform data processing and analysis.

[0530] Example of a prompt

[0531] The following is a concrete example of a prompt message that the system sends to the generated AI model:

[0532] "Please generate a description for the sales graph based on the following sales data."

[0533] Area: Kanto

[0534] Organization: ABC organization

[0535] Operation data: Machine A: Operating time 100 hours, Production volume 1000 units; Machine B: Operating time 150 hours, Production volume 1500 units.

[0536] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0537] Step 1:

[0538] Users enter area information, organizational information, and work information into input forms on robots equipped with tablets or smart displays. The entered data includes specific geographical areas, company information, machine operating hours, and production volume. This input data is used as the system's initial data.

[0539] Step 2:

[0540] When the "Generate Document" button is clicked on the device, the device sends the entered data to the server. The input data is sent as an HTTP request and received at the server-side API endpoint. At this point, validation is performed to determine whether the input data was received correctly.

[0541] Step 3:

[0542] The server processes the received input data and generates a prompt message to request data generation from artificial intelligence (AI). This prompt message includes area information, organizational information, and work data. For example, the prompt message might be: "Generate a description of the sales graph based on the following sales data. Area: Kanto, Organization: ABC Organization, Work Data: Machine A: Operating hours 100 hours, Production volume 1000 units; Machine B: Operating hours 150 hours, Production volume 1500 units."

[0543] Step 4:

[0544] The server sends the generated prompt message to the artificial intelligence API (OpenAI API) to request the generation of sales presentation materials. The artificial intelligence analyzes the factory situation based on the input data and generates appropriate presentation slides. During this process, the AI ​​model analyzes text data and performs data processing to generate appropriate graphs and text.

[0545] Step 5:

[0546] The sales presentation materials generated by the artificial intelligence are returned to the server in PowerPoint slide format. The server further processes the received slide data and integrates it into a predetermined format. For example, it uses the pptx library to generate a PPTX file that includes a title page, a table of contents page, and pages containing specific analysis results.

[0547] Step 6:

[0548] The server then sends the final generated sales presentation document in PPTX format to the user. This document is provided as a download link, allowing the user to download it directly from their device. Additionally, the generated sales presentation document is displayed in real time on the device's screen.

[0549] Step 7:

[0550] Users can review the generated sales materials, download them as needed, and use them in sales negotiations and presentations. Because they can use these materials to provide specific details about the sales negotiations and factory conditions, efficient and effective presentations become possible.

[0551] Through the above processing steps, a system is realized that allows users to intelligently generate sales materials based on the data they input, and to use them quickly.

[0552] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0553] This invention provides a system for automating the creation of sales materials that recognizes the user's emotions and dynamically adjusts the content and expression of the materials using that emotional information, thereby providing more personalized sales materials. The specific operation of the system is described below.

[0554] Server-side processing

[0555] The server first receives multiple types of input data from the user. This data includes area names, sales company names, and their respective sales data. Simultaneously, the server uses an emotion engine to acquire emotional data from the user's input. The emotion engine evaluates emotions based, for example, on the speed at which the user types on the keyboard and on the feedback they provide.

[0556] Next, the server sends a document generation request to the artificial intelligence API based on this data. The data sent includes area names, sales company names, sales data for each product, and user sentiment data. The artificial intelligence analyzes this information and generates graphs and sales materials based on the sales data. In this process, it dynamically adjusts the content and expression of the materials based on the sentiment data. For example, if the user is feeling pressured, it can add more easily understandable graphs and explanations.

[0557] The artificial intelligence sends the generated sales presentation data back to the server. This data is presented as presentation slides and includes various graphs and data tables. The server integrates the received sales presentation data into a predetermined format. This format includes a title page, a table of contents page, and detailed data pages for each area and sales company. The final sales presentation is generated in PPTX file format.

[0558] Finally, the server sends the generated PPTX file to the user. This is done by generating a download link and providing that link to the user.

[0559] Terminal-side processing

[0560] When a user accesses the system, an input form is displayed. The user uses this form to enter necessary information such as area name, sales company name, and sales data. During input, the emotion engine monitors the user's input status and behavior, and collects emotion data. For example, it infers emotions from keyboard input speed and screen scrolling behavior.

[0561] Once the user has finished entering the data, they click the "Generate Document" button. This action sends the input data and sentiment data to the server. The sentiment data includes the user's stress level and satisfaction level, among other things.

[0562] When the server returns the generated sales opportunity materials, the terminal displays them to the user either as a download link or directly. The user can review the displayed sales opportunity materials and download them as needed.

[0563] User-side operations

[0564] The user enters the area name, sales company name, and related sales data into the system's input form. During the input process, the emotion engine operates to recognize the user's current emotions. Next, the user clicks the "Generate Data" button, sending the input data and emotion data to the server.

[0565] When sales materials are returned from the server, they are displayed on the user's device. Users can review and download the displayed materials. This ensures that materials are produced quickly, resulting in high-quality content and efficient presentations. Furthermore, personalized materials based on emotions make sales negotiations more effective.

[0566] Specific example

[0567] For example, suppose a user provides sales data for the "Kanto" area and "Sales Company A." This data includes sales information for "Product X" and "Product Y." The user enters this information into an input form and requests document generation. The server then sends this data along with sentiment data to the artificial intelligence. Based on this data, the AI ​​dynamically generates sales materials that are adjusted to include simpler, easier-to-understand graphs and explanations if the user is feeling pressured.

[0568] Thus, the system of the present invention not only streamlines the creation of sales negotiation materials and automates the process, but also supports more effective sales negotiations by personalizing them while taking user emotions into consideration.

[0569] The following describes the processing flow.

[0570] Step 1: The user enters the area name, sales company name, and sales data into the terminal's input form. In addition, the emotion engine monitors the user's keyboard input speed and mouse movements in real time and collects the user's emotional data (e.g., stress level and satisfaction level).

[0571] Step 2: The terminal converts the data entered by the user and the sentiment data collected by the sentiment engine into JSON format and sends it to the server as a POST request. This request includes the area name, sales company name, sales data for each product, and sentiment data.

[0572] Step 3: The server parses the POST request received from the terminal and retrieves the input data and sentiment data. First, it passes the data through validation within the system to check the accuracy of the data format and whether there is any missing data.

[0573] Step 4: The server sends a document generation request to the artificial intelligence API based on the validated input data and sentiment data. The API request includes area name, sales company name, sales data, and sentiment data.

[0574] Step 5: The artificial intelligence analyzes the data received from the server and generates graphs and sales materials based on sales data. During this process, it dynamically adjusts the content and presentation of the materials based on user sentiment data. For example, if the user is feeling stressed, simpler and easier-to-understand graphs and explanations are added.

[0575] Step 6: The server receives sales presentation data generated by artificial intelligence. This data consists of presentation slides, image files, and other similar materials.

[0576] Step 7: The server integrates the received sales opportunity data into a default format. This format includes a title page, a table of contents page, and detailed data pages for each area and sales company. After integration, the final sales opportunity document is generated in PPTX file format.

[0577] Step 8: The server sends the generated PPTX file to the user. The method of sending is to generate a download link and provide that link to the user.

[0578] Step 9: The terminal displays a download link received from the server to the user. The user clicks this link to download the final sales presentation materials.

[0579] Step 10: Users can review the downloaded PPTX file and use it in other sales meetings or presentations as needed. Personalized sales materials based on sentiment data make presentations more effective.

[0580] (Example 2)

[0581] Next, we will describe Example 2. 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".

[0582] Creating sales materials required users to manually adjust the content and format, which was time-consuming and laborious. Furthermore, the process often proceeded without considering the user's emotional state, leading to situations where they were prone to feeling pressure and stress. This sometimes prevented sales negotiations from achieving their full potential.

[0583] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0584] In this invention, the server includes means for receiving input data from a user, means for transmitting the input data to artificial intelligence and requesting material generation, means for receiving material generated by the artificial intelligence, means for integrating the received material into a predetermined format, means for transmitting the integrated material to the user, means for collecting and analyzing emotional data from the user at the time of input, and means for dynamically adjusting the content and expression of the material using the emotional data. This enables efficient material creation and the provision of personalized material based on the user's emotions.

[0585] A "user" is a person or organization that accesses the system, inputs data, and requests the generation of sales materials.

[0586] "Input data" refers to information necessary for generating sales materials, such as area names, sales company names, and sales data for each product.

[0587] "Artificial intelligence" refers to programs and algorithms that analyze given data, automatically generate sales materials, and dynamically adjust their content.

[0588] "Emotional data" refers to information about a user's emotional state, such as stress levels and satisfaction levels, collected from their actions and feedback during input.

[0589] A "document generation request" is a request in which the user asks the artificial intelligence to generate business negotiation materials based on the data they have entered.

[0590] "Default format" refers to the layout of presentation slides and documents used to organize generated sales materials into a consistent format.

[0591] An "emotion engine" is software that monitors user input behavior and analyzes and collects emotional data.

[0592] A "download link" is a URL that allows users to download generated sales materials via the internet.

[0593] This invention provides a system for automating the creation of sales materials that recognizes the user's emotions and dynamically adjusts the content and expression of the materials using that emotional information, thereby providing more personalized sales materials.

[0594] Server-side processing

[0595] The server provides an interface for receiving input data from the user. This data includes area names, vendor names, and sales data for each product. The server also uses an emotion engine to acquire emotional data from the user during input. The emotion engine evaluates the user's stress and satisfaction levels based on keyboard input speed and feedback.

[0596] The server sends a request to the artificial intelligence API to generate materials based on this data. The data sent includes area names, sales company names, sales data for each product, and user sentiment data. The artificial intelligence analyzes this information and, taking the user sentiment data into consideration, generates graphs and sales materials based on sales data. For example, if the user is feeling pressured, the content of the materials will be adjusted to a simpler and easier-to-understand format.

[0597] The artificial intelligence sends the generated sales presentation data back to the server. The server integrates the received sales presentation data into PPTX format. This format includes a title page, a table of contents page, and detailed data pages for each area and sales company.

[0598] Finally, the server sends the generated PPTX file to the user. This is done by generating a download link and providing that link to the user.

[0599] Terminal-side processing

[0600] When a user accesses the system, an input form is displayed. The user uses this form to enter necessary information such as area name, sales company name, and sales data. As the user enters information, the emotion engine monitors their input status and behavior, collecting emotion data. It infers emotions from keyboard input speed and screen scrolling behavior.

[0601] Once the input is complete, the user clicks the "Generate Document" button. This causes the device to send the input data and sentiment data to the server. When the server generates the sales presentation document and sends it back, the device displays it to the user either as a download link or directly. The user can review the displayed sales presentation document and download it if necessary.

[0602] User-side operations

[0603] The user enters the area name, sales company name, and related sales data into the system's input form. During this process, the emotion engine operates to recognize the user's current emotions. Next, the user clicks the "Generate Data" button and sends the input data and emotion data to the server.

[0604] When sales materials generated from the server are returned, they are displayed on the user's device. Users can review and download the displayed sales materials. Furthermore, because the materials are completed quickly, are of high quality, and are personalized based on emotions, sales negotiations proceed more effectively.

[0605] Specific example

[0606] For example, if a user enters sales data for the "Kanto" area and "Sales Company A," the input data will include sales information for "Product X" and "Product Y." The user enters this information into the input form and requests document generation. The server then sends this data along with emotional data to artificial intelligence. Based on this data, the AI ​​dynamically generates sales materials that are tailored to the user's emotional state, for example, by adding simpler, easier-to-understand graphs and explanations if the user is feeling pressured. This system not only streamlines and automates the process of creating sales materials, but also provides personalized materials that take the user's emotions into account.

[0607] Example of a prompt

[0608] The following are examples of prompts to input into a generative AI model:

[0609] The user has entered sales data for the "Kanto" area and "Sales Company A". This includes sales information for products X and Y. According to the user's sentiment data, they are feeling pressured. Based on this data, please generate sales materials that include easy-to-understand graphs and explanations to help alleviate this pressure.

[0610] By using this prompt, the generating AI model can automatically create the sales materials that the user needs.

[0611] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0612] Step 1:

[0613] The user accesses the system's input form and enters the area name, sales company name, and sales data for each product. After the input form is displayed, the user enters the sales data for the "Kanto" area, "Sales Company A," product X, and product Y into the form. As the input progresses, the emotion engine monitors the keyboard input speed and screen scrolling.

[0614] Input: User input of area name, sales company name, and sales data for each product.

[0615] Output: Collection of input dataset and sentiment data

[0616] Specific actions:

[0617] The user enters the area name "Kanto" and the sales company name "Sales Company A".

[0618] The user enters sales data for product X (100 units) and product Y (50 units).

[0619] The emotion engine analyzes input speed and collects emotional data.

[0620] Step 2:

[0621] When a user clicks the "Generate Data" button, the device sends the entered data and collected sentiment data to the server. The server receives this data and uses a sentiment engine to evaluate the user's emotional state.

[0622] Input: User clicks the "Generate Document" button.

[0623] Output: Input data and sentiment data sent to the server

[0624] Specific actions:

[0625] The user clicks the "Generate Document" button.

[0626] The server receives input data and sentiment data.

[0627] The emotion engine evaluated the user's emotional state as "feeling pressured."

[0628] Step 3:

[0629] The server creates a request to the artificial intelligence API based on the received data. The request includes the area name, the name of the sales company, sales data for each product, and user sentiment data.

[0630] Input: Received input data and sentiment data

[0631] Output: Request data sent to the artificial intelligence API

[0632] Specific actions:

[0633] The server sends a request to the AI ​​API indicating "sales data for Kanto area, sales company A, products X and Y, and users experiencing pressure."

[0634] Step 4:

[0635] The artificial intelligence analyzes the provided data and generates sales materials. If the user is feeling pressured, it adjusts the material's content to a simpler, easier-to-understand format.

[0636] Input: Request data sent to the artificial intelligence API

[0637] Output: Generated sales negotiation document data

[0638] Specific actions:

[0639] Artificial intelligence converts complex bar graphs into simple pie charts.

[0640] Add more specific and detailed information to the description.

[0641] Step 5:

[0642] The server receives the generated data returned by the artificial intelligence and integrates it into PPTX format. The format includes a title page, a table of contents page, and detailed data pages for each area and vendor.

[0643] Input: Sales negotiation data returned from the artificial intelligence API.

[0644] Output: Sales presentation materials in integrated PPTX format

[0645] Specific actions:

[0646] Integrate various graphs and explanations into a PPTX slide format.

[0647] Apply standard formatting for title pages, table of contents pages, etc.

[0648] Step 6:

[0649] The server saves the completed PPTX file and generates a download link. By providing this link to the user, the user can easily download the file.

[0650] Input: Integrated PPTX file

[0651] Output: Generated download link

[0652] Specific actions:

[0653] The server saves the PPTX file and generates a download link.

[0654] Send the download link to the user's contact email address.

[0655] Step 7:

[0656] The user clicks the provided download link to obtain the generated sales opportunity document. They review the document and make any necessary edits.

[0657] Input: Generated download link

[0658] Output: Downloaded sales materials

[0659] Specific actions:

[0660] The user clicked the download link in the email.

[0661] Check the downloaded PPTX file and review the slide content.

[0662] (Application Example 2)

[0663] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0664] Traditional sales presentation system creation methods failed to consider the user's emotional state, making it difficult to create personalized materials tailored to individual needs. Furthermore, it was impossible to grasp the emotional state in real time during a sales meeting and dynamically adjust materials and presentation methods accordingly. This resulted in limited effectiveness of sales meetings and decreased user satisfaction.

[0665] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0666] In this invention, the server includes means for receiving input data from a user, means for transmitting the input data to artificial intelligence and requesting the generation of materials, means for receiving materials generated by the artificial intelligence, means for integrating the received materials into a predetermined format, means for transmitting the integrated materials to the user, means for collecting user emotion data, means for dynamically adjusting the content of the materials generated based on the emotion data, and means for collecting the emotion data and displaying it on a display device during a business negotiation. This makes it possible to create personalized materials that take into account the user's emotional state and to provide presentations that reflect emotional information in real time during a business negotiation.

[0667] "Means for receiving input data from users" refers to devices or methods for collecting information such as area names, sales company names, and sales data provided by users.

[0668] "Means for sending data to artificial intelligence and requesting document generation" refers to a device or method that sends received user input data to an artificial intelligence system and requests the system to automatically create documents for business negotiations.

[0669] "Means for receiving materials generated by artificial intelligence" refers to a device or method for receiving business negotiation materials generated by an artificial intelligence system.

[0670] "Means of integrating into a default format" refers to a device or method for organizing and editing received business negotiation materials to conform to a standard format such as a presentation format.

[0671] "Means of transmission to the user" refers to a device or method for providing integrated sales materials to the user.

[0672] "Means for collecting user emotional data" refers to a device or method for detecting and collecting data on a user's emotional state (e.g., stress level or satisfaction level).

[0673] "Means for dynamically adjusting the content of generated materials" refers to a device or method for changing and adjusting the content and presentation of sales materials in real time based on collected sentiment data.

[0674] "Means for collecting emotional data and presenting it on a display device during a business negotiation" refers to a device or method for collecting user emotional data and visually presenting it through a display device such as smart glasses during the progress of a business negotiation.

[0675] The "form for entering area and sales company information" is an interface for users to enter information such as the area name and sales company name.

[0676] "Means for sending to the server" refers to a device or method for sending input information to a server for processing.

[0677] "Means of display" refers to a device or method for visually displaying generated materials on a terminal or other device.

[0678] "Means for automatically generating graphs based on sales data" refers to a device or method that automatically creates graphs using artificial intelligence based on multiple sales data entered by a user.

[0679] "Means for integrating into presentation format" refers to a device or method for integrating automatically generated graphs to adapt them to the presentation format of sales materials.

[0680] "Means for dynamically adjusting presentation methods" refers to a device or method that changes the presentation style and the way materials are presented in real time based on user sentiment data.

[0681] This invention is a system that automatically generates and dynamically adjusts sales materials while taking into account the user's emotional information. This invention is particularly effective in situations where the user uses smart glasses for sales negotiations or presentations. A specific embodiment of the system is shown below.

[0682] Server-side processing

[0683] Hardware and software

[0684] Hardware used: Data server, network interface

[0685] Software used: Python, artificial intelligence APIs (e.g., OpenAI API), database management system

[0686] Data processing flow

[0687] The server first receives multiple types of input data from the user. This includes area names, sales company names, and sales data for each product. If the user is wearing smart glasses, emotional data is also acquired from the smart glasses' sensors. Emotional data is updated in real time and collected based on the user's input speed and information from the glasses' screen operation.

[0688] Based on this data, the server sends a request to the artificial intelligence API to generate materials. The data sent includes user input data and sentiment data. The artificial intelligence analyzes this information and generates graphs and sales materials based on sales data. During this process, the content and presentation of the materials are dynamically adjusted based on the user's sentiment data.

[0689] For example, if the user is feeling pressured, clearer graphs or explanations may be added. The generated sales materials will be in presentation slide format and will include various graphs and data tables. The server will integrate the received materials into a default format and generate the final sales materials in PPTX file format. The final materials will be sent in a format that generates a download link and provides that link to the user.

[0690] Terminal-side processing

[0691] Hardware and software

[0692] Hardware used: Smart glasses, user devices (smartphones, tablets, etc.)

[0693] Software used: Web browser, data entry form, display application

[0694] Data processing flow

[0695] When a user accesses the system, an input form is displayed. The user uses this form to enter necessary information such as the area name, sales company name, and sales data. During the input process, the smart glasses collect the user's emotional data and send it to the server.

[0696] When a user clicks the "Generate Document" button, the input data and sentiment data are sent to the server. Once the server generates the sales presentation document and sends it back, the terminal displays it to the user either as a download link or directly. The user can review the displayed sales presentation document and download it if necessary.

[0697] User-side operations

[0698] The user enters the area name, sales company name, and relevant sales data into the system's input form. During the input process, smart glasses operate, collecting the user's current emotional data and sending it to the server. Next, the user clicks the "Generate Document" button, sending the input data and emotional data to the server. The sales materials returned from the server are displayed on the user's device, which the user can review and download. This ensures that high-quality materials are produced quickly, leading to more efficient sales negotiations. Furthermore, personalized materials based on emotions make sales negotiations even more effective.

[0699] Specific example

[0700] For example, suppose a user provides sales data for the "Kanto" area and "Sales Company A." This data includes sales information for "Product X" and "Product Y." The user enters this information into an input form and requests document generation. The server then sends this data along with sentiment data to the artificial intelligence. Based on this data, the AI ​​dynamically generates sales materials that are adjusted to include simpler, easier-to-understand graphs and explanations if the user is feeling pressured.

[0701] Examples of prompts to input into a generative AI model:

[0702] "Based on sales data for products X and Y from sales company A in the Kanto area, please create a sales presentation document that includes easy-to-understand graphs and explanations illustrating when users are feeling pressured."

[0703] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0704] Step 1:

[0705] The user accesses the system, and an input form is displayed. The user enters necessary information such as area name, distributor name, and sales data. The smart glasses collect the user's emotional data in real time. This includes input speed, eye movements, and facial expressions. Input: Area name, distributor name, sales data, emotional data. Output: Input data and emotional data.

[0706] Step 2:

[0707] When a user clicks the "Generate Data" button, input data and sentiment data are sent to the server. This transmission uses the HTTPS protocol. Input: Request to the server. Output: Request containing input data and sentiment data.

[0708] Step 3:

[0709] The server analyzes the received input data and sentiment data and sends a data generation request to the artificial intelligence API. Input data includes area names, sales company names, and sales data, while sentiment data includes stress levels and satisfaction levels. Input: Area names, sales company names, sales data, sentiment data. Output: Request to the artificial intelligence API.

[0710] Step 4:

[0711] The artificial intelligence API generates sales materials based on the submitted data. It dynamically adjusts the content and presentation of the materials, taking emotional data into consideration, for example, by adding simple and easy-to-understand graphs and explanations if the user is feeling pressured. Input: Area name, sales company name, sales data, emotional data. Output: Generated sales materials.

[0712] Step 5:

[0713] The AI ​​API sends the sales negotiation materials back to the server. The server integrates the received sales negotiation materials into a default format and creates presentation slides (PPTX file format). Input: Generated sales negotiation materials. Output: Slides integrated into the default format.

[0714] Step 6:

[0715] The server sends the generated sales materials (in PPTX file format) to the user. The method of delivery involves generating a download link and providing that link to the user. Input: PPTX file. Output: Download link.

[0716] Step 7:

[0717] The user clicks a download link on their device to download or view the sales materials. The user reviews the materials and uses them during the sales meeting as needed. Emotional data is continuously collected during the meeting via smart glasses, allowing for real-time adjustments to the presentation method. Input: Download link. Output: Sales materials.

[0718] 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 user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0719] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0720] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0721] [Third Embodiment]

[0722] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0723] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0724] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0725] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0726] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0727] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0728] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0729] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0730] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[0731] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0732] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0733] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0734] This invention's system automates the creation of sales materials. Based on data entered by the user, artificial intelligence automatically generates the materials, integrates them into a predetermined format, and provides them to the user. The specific operation of the system is described below.

[0735] Server-side processing

[0736] The server receives multiple types of input data from the user. This data includes area names, sales company names, and corresponding sales data. After receiving this data, the server generates a request to the artificial intelligence API and sends the data to the AI.

[0737] The artificial intelligence generates sales materials based on the received data. Specifically, it creates graphs from sales data and formats them as PowerPoint slides. The AI ​​performs these processes and sends the generated slide data back to the server.

[0738] The server integrates the received slide data into a default format. This format includes a title page and table of contents, and sets up a consistent layout for the entire sales presentation. The integrated document is ultimately generated as a PPTX file.

[0739] Finally, the server sends the generated PPTX file to the user. This file is then presented to the user as a download link.

[0740] Terminal-side processing

[0741] When a user accesses the system, an input form is displayed. The user uses this form to enter necessary information such as area name, sales company name, and sales data. Once the user has finished entering the information, they click the "Generate Document" button. This action sends the entered data to the server.

[0742] When the server returns the generated sales opportunity documents, the terminal displays them to the user either as a download link or directly. The user can then review the generated documents and download them as needed.

[0743] User-side operations

[0744] The user enters the area name, distributor name, and related sales data into the system's input form. This input process allows for the inclusion of detailed sales data based on specific areas and distributors. Next, the user clicks the "Generate Data" button to send the data generation request to the server.

[0745] When sales materials are returned from the server, they are displayed on the user's terminal. Users can then review and download the displayed sales materials. As a result, users can obtain high-quality sales materials in a short amount of time, significantly reducing the time spent creating those materials.

[0746] Specific example

[0747] For example, suppose a user provides sales data for the "Kanto" area and "ABC Trading Company." This data includes sales information for "Product A" and "Product B." The user enters this information into an input form and requests data generation, and the server sends this data to the artificial intelligence.

[0748] Artificial intelligence generates sales graphs based on this data and converts them into PowerPoint slides. The server receives these slides, integrates them into a default format, and sends them to the user. The user can download the generated PPTX file and immediately use it in sales meetings.

[0749] Thus, the system of the present invention streamlines the creation of business negotiation materials and automates the process, thereby significantly reducing the burden on the user.

[0750] The following describes the processing flow.

[0751] Step 1: The user enters the area name, sales company name, and sales data into the terminal's input form. This includes sales data for products in the specified area and for each sales company. Once the user has finished entering the data, they click the "Generate Document" button.

[0752] Step 2: The terminal converts the data entered by the user into JSON format and sends a POST request to the server. This request includes the area name, sales company name, and sales data for each product.

[0753] Step 3: The server parses the POST request received from the terminal and retrieves the input data. This data passes through validation within the system to check for format accuracy and the presence of missing data.

[0754] Step 4: The server sends a data generation request to the artificial intelligence API based on the input data that has passed validation. The API request includes the area name, sales company name, and sales data.

[0755] Step 5: The artificial intelligence analyzes the data received from the server and generates graphs and sales materials based on sales data. The generated data is presented as slides and includes various graphs and data tables.

[0756] Step 6: The server receives the sales presentation data generated by the artificial intelligence. This data consists of slide files, images, and other elements.

[0757] Step 7: The server integrates the received sales opportunity data into a default format. This format includes a title page, a table of contents page, and detailed data pages for each area and sales company. After integration, the final sales opportunity document is generated in PPTX file format.

[0758] Step 8: The server sends the generated PPTX file to the user. The method of sending is to generate a download link and provide that link to the user.

[0759] Step 9: The terminal displays a download link received from the server to the user. The user clicks this link to download the final sales presentation materials.

[0760] Step 10: The user reviews the downloaded PPTX file and can use it in other business meetings or presentations as needed. This allows for high-quality materials to be created quickly, resulting in more efficient presentations.

[0761] (Example 1)

[0762] Next, we will describe Example 1. 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."

[0763] Traditional sales presentation material creation processes have been problematic because they require users to manually organize data, create graphs, and compile them into presentations, which is extremely time-consuming and labor-intensive. Furthermore, maintaining formatting consistency is difficult, leading to inconsistencies in the quality of the materials. To address these issues, it is necessary to provide a system that allows users to quickly generate high-quality, consistent sales presentation materials with simple operations.

[0764] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0765] In this invention, the server includes means for receiving input data from a user, means for sending the input data to an artificial intelligence model in the form of prompt statements and requesting the generation of materials, means for receiving slide data generated from the artificial intelligence model, means for integrating the received slide data into a unified format, and means for sending the integrated slide data to the user in presentation file format. This makes it possible for the artificial intelligence model to automatically generate sales materials based on data entered by the user, and to provide those materials in a consistent format.

[0766] "Means for receiving input data from users" refers to a system in which the server receives information such as area names, sales company names, and sales data entered by the user.

[0767] "Prompt format" refers to a textual format used to convey specific instructions to an artificial intelligence model based on data entered by the user.

[0768] An "artificial intelligence model" is an algorithm or system that performs natural language processing and data analysis to automatically generate sales materials based on user input data.

[0769] "Means of requesting document generation" refers to a system in which a server sends data in the form of prompt statements to an artificial intelligence model and requests the generation of business negotiation documents.

[0770] "Slide data generated from an artificial intelligence model" refers to presentation-style slide files automatically generated by an artificial intelligence model after analyzing user input data.

[0771] A "standardized format" refers to a template or style guide that is pre-configured to ensure a consistent layout and design for sales materials.

[0772] A "presentation file format" is a file format (e.g., a PPTX file) that can be viewed and edited by a user using presentation software.

[0773] "Means of sending to the user" refers to the mechanism by which the server sends the generated presentation file to the user's terminal (e.g., generating and notifying a download link).

[0774] "Means of providing an input form" refers to a web interface or application screen for users to input area names, sales company names, and sales data.

[0775] "Means of displaying download links" refers to a system that provides links or buttons to allow users to easily access and download the generated sales materials.

[0776] Modes for carrying out the invention

[0777] This invention is a system for automating the creation of business negotiation materials. A specific embodiment of the system is described below.

[0778] Server-side processing

[0779] The server receives input data from the user, including area name, sales company name, and sales data. This process is achieved by receiving data in JSON format via an HTTP POST request. The server parses the received JSON data and generates prompt statements for the artificial intelligence model. These prompt statements are generated as follows:

[0780] Please create sales materials based on the following data:

[0781] Area name: Kanto

[0782] Distributor name: ABC Trading Co., Ltd.

[0783] Sales data:

[0784] Product A: 5000 items

[0785] Product B: 3000 items

[0786] Using the generated prompt, the server requests the artificial intelligence model to generate materials. Examples of such AI models include OpenAI's GPT-3 and BERT. API requests are sent via HTTP POST, and the generated slide data is returned to the server in JSON format or binary data.

[0787] The server receives the returned slide data and integrates it into a default format. This format has a consistent layout, including a title page and table of contents page. The integration is performed using a library such as python-pptx. Finally, the server generates the integrated material as a PPTX file, uploads it to cloud storage (e.g., Amazon S3), and provides the user with a download link.

[0788] Terminal-side processing

[0789] When a user accesses the system, the terminal displays an input form. This form is generated using HTML and JavaScript, allowing the user to enter area name, sales company name, and sales data. When the user clicks the "Generate Document" button, the terminal sends the input data to the server. This transmission also uses an HTTP POST request.

[0790] When the server returns the generated sales materials, the terminal displays them to the user. The materials are displayed as a download link, which the user can click to download.

[0791] User-side operations

[0792] The user enters the required data into the system's input form. This input process can include detailed sales data based on specific areas or distributors. Once the input is complete, the user clicks the "Generate Document" button to send the document generation request to the server.

[0793] When sales materials are returned from the server, they are displayed on the user's device. Users can then review and download the displayed sales materials. This allows users to obtain high-quality sales materials in a short amount of time, significantly reducing the time spent creating them.

[0794] Specific example

[0795] For example, suppose a user has prepared sales data for the "Kanto" area and "ABC Trading Company." This data includes sales information for "Product A" and "Product B." The user enters this information into an input form and clicks the "Generate Document" button to request document generation.

[0796] The server receives input data and sends generated prompt messages to the artificial intelligence model. The AI ​​model generates sales graphs based on this data and converts them into PowerPoint slides. The server receives these slides, integrates them into a default format, and finally provides them to the user as a PPTX file.

[0797] Thus, the system of the present invention can significantly reduce the burden on users by streamlining the creation of sales materials and automating the entire process.

[0798] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0799] Step 1:

[0800] The server receives input data from the user via an HTTP POST request, including the area name, sales company name, and sales data. This data is in JSON format and is parsed after reception. Specifically, the JSON data is retrieved from request.body and converted into an object using Python's json library.

[0801] Input: User-entered area name, sales company name, sales data

[0802] Output: Parsed input data

[0803] Step 2:

[0804] The server generates prompts for the artificial intelligence model based on the received JSON data. These prompts specifically describe the instructions the AI ​​model needs to generate sales materials. An example of a generated prompt is as follows:

[0805] Please create sales materials based on the following data:

[0806] Area name: Kanto

[0807] Distributor name: ABC Trading Co., Ltd.

[0808] Sales data:

[0809] Product A: 5000 items

[0810] Product B: 3000 items

[0811] In terms of specific actions, the prompt statement is constructed using a string format.

[0812] Input: Parsed input data

[0813] Output: Generated prompt message

[0814] Step 3:

[0815] The server sends the generated prompt text to the AI ​​model's API via an HTTP POST request, requesting data generation. At this time, it is necessary to specify the API key and endpoint URL. Specifically, the requests library is used to send the API request.

[0816] Input: Generated prompt message

[0817] Output: Slide data returned from the artificial intelligence model (in JSON format or binary data)

[0818] Step 4:

[0819] The server receives slide data returned from the artificial intelligence model. This involves parsing the API response. Specifically, it analyzes the response data and extracts the necessary information.

[0820] Input: Slide data returned from the artificial intelligence model

[0821] Output: Analyzed slide data

[0822] Step 5:

[0823] The server integrates the parsed slide data into a default format. This format includes a title page and table of contents page, and a consistent design is applied. The python-pptx library is used to embed the slide data into the template.

[0824] Input: Analyzed slide data

[0825] Output: Sales materials integrated into a format

[0826] Step 6:

[0827] The server converts the integrated sales materials into a PPTX file and uploads it to cloud storage (e.g., Amazon S3). Specifically, it uses the boto3 library to upload the file to the S3 bucket.

[0828] Input: Sales materials integrated into the format

[0829] Output: URL link to the PPTX file on cloud storage

[0830] Step 7:

[0831] The server returns a download link for the generated PPTX file to the user. The link is returned as an HTTP response and displayed to the user. Specifically, the response object includes the URL link and is returned.

[0832] Input: URL link of a PPTX file on cloud storage

[0833] Output: Download link displayed to the user

[0834] Step 8:

[0835] When a user accesses the system, the terminal displays a form for the user to enter the area name, sales company name, and sales data. Specifically, HTML and JavaScript are used to generate the input form.

[0836] Input: None

[0837] Output: Displayed input form

[0838] Step 9:

[0839] The user enters the area name, sales company name, and sales data, then clicks the "Generate Document" button. This click sends the input data to the server. Specifically, the JavaScript fetch API is used to send the data.

[0840] Input: User-entered area name, sales company name, sales data

[0841] Output: Sending data to the server

[0842] Step 10:

[0843] When the generated sales materials are returned from the server, the terminal displays a download link for those materials to the user. The user can then click the link to download the materials. Specifically, the terminal generates and displays the link.

[0844] Input: Download link from server

[0845] Output: Download link displayed to the user

[0846] (Application Example 1)

[0847] Next, we will explain Application Example 1. In the following explanation, 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."

[0848] Creating sales materials is often a time-consuming and laborious task, requiring specialized knowledge, especially when integrating multiple data sources to create a consistent presentation. Furthermore, factory management and sales activities demand immediate on-site responses, necessitating the rapid generation of sales materials. This necessitates factory managers and sales representatives to deliver quick and effective presentations, thereby improving productivity.

[0849] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0850] In this invention, the server includes means for receiving input data from a user, means for transmitting the input data to artificial intelligence and requesting document generation, means for receiving documents generated by the artificial intelligence, means for integrating the received documents into a predetermined format, means for transmitting the integrated documents to the user, means for receiving data entered into a form including area information, organizational information, and work information, means for performing a factory status analysis based on the received data, means for generating sales materials based on the factory status analysis, and means for formatting the sales materials into a presentation format. This enables the user to quickly and efficiently generate sales materials that reflect the factory status in real time on-site and immediately utilize them in sales negotiations and presentations.

[0851] "Input data" refers to information provided by the user to the system, including area information, organizational information, and work information.

[0852] "Artificial intelligence" refers to programs and systems that use technologies such as machine learning and natural language processing to automatically generate business negotiation materials based on received data.

[0853] A "document generation request" is a request instructing artificial intelligence to create sales negotiation materials based on input data provided by the user.

[0854] "Area information" refers to information about a specific region or location, and serves as basic data for creating business negotiation materials.

[0855] "Organizational information" refers to information about a specific group or company, and serves as basic data for creating business negotiation materials.

[0856] "Work information" refers to information about the activities and progress at factories and work sites, and serves as basic data for creating sales negotiation materials.

[0857] "Factory situation analysis" refers to the process of evaluating and analyzing the condition and efficiency of a factory or work site based on the provided area information, organizational information, and work information.

[0858] "Sales materials" refer to presentation slides and related documents generated by artificial intelligence that users use for sales negotiations and presentations.

[0859] A "presentation format" refers to a format that has been structured to present business negotiation materials visually and effectively.

[0860] The system for carrying out this invention is configured as follows.

[0861] Server-side processing

[0862] The server has a means of receiving input data from the user. This input data includes area information, organizational information, and work information. After receiving this input data, the server requests artificial intelligence (AI) to generate data. Specifically, it processes the input data, generates a request to the AI ​​API, and sends it to the AI.

[0863] The artificial intelligence generates sales materials based on the received data. Specifically, it analyzes the factory situation based on the input work data and formats the results into PowerPoint slides. The slide data generated by the AI ​​is sent back to the server. The server receives this slide data and integrates it into a predetermined format. The integrated material is finally generated as a PPTX file and sent to the user.

[0864] Terminal-side processing

[0865] When a user accesses the system, an input form is displayed. The user uses this form to enter necessary information such as area information, organizational information, and work information. Once the user has finished entering the information, they click the "Generate Document" button, and the entered data is sent to the server.

[0866] Once the server returns the generated sales opportunity documents, the terminal displays them to the user either as a download link or directly. The user can then review the generated sales opportunity documents and download and use them as needed.

[0867] Specific example of processing

[0868] For example, suppose a factory manager prepares work data for the "Kanto area" and "ABC organization." This data includes the operating hours and production volume of "Machine A" and "Machine B." The user enters this information into an input form and clicks the "Generate Data" button. The server receives this information and sends it to the artificial intelligence.

[0869] Artificial intelligence analyzes factory conditions based on this data and converts sales graphs and other information into PowerPoint slides. The server then receives the generated slides, integrates them into a predefined format, and sends them to the user. The user can download the generated PPTX file and immediately use it in business negotiations and presentations.

[0870] Hardware and software to be used

[0871] The hardware used will primarily consist of robots equipped with tablets or smart displays. This hardware will assist with data input from the user. The software used will be as follows:

[0872] Python: Used as a development language

[0873] Flask: Web application framework

[0874] pptx library: Used to generate PPT files

[0875] OpenAI API: Access artificial intelligence and perform data processing and analysis.

[0876] Example of a prompt

[0877] The following is a concrete example of a prompt message that the system sends to the generated AI model:

[0878] "Please generate a description for the sales graph based on the following sales data."

[0879] Area: Kanto

[0880] Organization: ABC organization

[0881] Operation data: Machine A: Operating time 100 hours, Production volume 1000 units; Machine B: Operating time 150 hours, Production volume 1500 units.

[0882] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0883] Step 1:

[0884] Users enter area information, organizational information, and work information into input forms on robots equipped with tablets or smart displays. The entered data includes specific geographical areas, company information, machine operating hours, and production volume. This input data is used as the system's initial data.

[0885] Step 2:

[0886] When the "Generate Document" button is clicked on the device, the device sends the entered data to the server. The input data is sent as an HTTP request and received at the server-side API endpoint. At this point, validation is performed to determine whether the input data was received correctly.

[0887] Step 3:

[0888] The server processes the received input data and generates a prompt message to request data generation from artificial intelligence (AI). This prompt message includes area information, organizational information, and work data. For example, the prompt message might be: "Generate a description of the sales graph based on the following sales data. Area: Kanto, Organization: ABC Organization, Work Data: Machine A: Operating hours 100 hours, Production volume 1000 units; Machine B: Operating hours 150 hours, Production volume 1500 units."

[0889] Step 4:

[0890] The server sends the generated prompt message to the artificial intelligence API (OpenAI API) to request the generation of sales presentation materials. The artificial intelligence analyzes the factory situation based on the input data and generates appropriate presentation slides. During this process, the AI ​​model analyzes text data and performs data processing to generate appropriate graphs and text.

[0891] Step 5:

[0892] The sales presentation materials generated by the artificial intelligence are returned to the server in PowerPoint slide format. The server further processes the received slide data and integrates it into a predetermined format. For example, it uses the pptx library to generate a PPTX file that includes a title page, a table of contents page, and pages containing specific analysis results.

[0893] Step 6:

[0894] The server then sends the final generated sales presentation document in PPTX format to the user. This document is provided as a download link, allowing the user to download it directly from their device. Additionally, the generated sales presentation document is displayed in real time on the device's screen.

[0895] Step 7:

[0896] Users can review the generated sales materials, download them as needed, and use them in sales negotiations and presentations. Because they can use these materials to provide specific details about the sales negotiations and factory conditions, efficient and effective presentations become possible.

[0897] Through the above processing steps, a system is realized that allows users to intelligently generate sales materials based on the data they input, and to use them quickly.

[0898] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0899] This invention provides a system for automating the creation of sales materials that recognizes the user's emotions and dynamically adjusts the content and expression of the materials using that emotional information, thereby providing more personalized sales materials. The specific operation of the system is described below.

[0900] Server-side processing

[0901] The server first receives multiple types of input data from the user. This data includes area names, sales company names, and their respective sales data. Simultaneously, the server uses an emotion engine to acquire emotional data from the user's input. The emotion engine evaluates emotions based, for example, on the speed at which the user types on the keyboard and on the feedback they provide.

[0902] Next, the server sends a document generation request to the artificial intelligence API based on this data. The data sent includes area names, sales company names, sales data for each product, and user sentiment data. The artificial intelligence analyzes this information and generates graphs and sales materials based on the sales data. In this process, it dynamically adjusts the content and expression of the materials based on the sentiment data. For example, if the user is feeling pressured, it can add more easily understandable graphs and explanations.

[0903] The artificial intelligence sends the generated sales presentation data back to the server. This data is presented as presentation slides and includes various graphs and data tables. The server integrates the received sales presentation data into a predetermined format. This format includes a title page, a table of contents page, and detailed data pages for each area and sales company. The final sales presentation is generated in PPTX file format.

[0904] Finally, the server sends the generated PPTX file to the user. This is done by generating a download link and providing that link to the user.

[0905] Terminal-side processing

[0906] When a user accesses the system, an input form is displayed. The user uses this form to enter necessary information such as area name, sales company name, and sales data. During input, the emotion engine monitors the user's input status and behavior, and collects emotion data. For example, it infers emotions from keyboard input speed and screen scrolling behavior.

[0907] Once the user has finished entering the data, they click the "Generate Document" button. This action sends the input data and sentiment data to the server. The sentiment data includes the user's stress level and satisfaction level.

[0908] When the server returns the generated sales opportunity materials, the terminal displays them to the user either as a download link or directly. The user can review the displayed sales opportunity materials and download them as needed.

[0909] User-side operations

[0910] The user enters the area name, sales company name, and related sales data into the system's input form. During the input process, the emotion engine operates to recognize the user's current emotions. Next, the user clicks the "Generate Data" button, sending the input data and emotion data to the server.

[0911] When sales materials are returned from the server, they are displayed on the user's device. Users can review and download the displayed materials. This ensures that materials are produced quickly, resulting in high-quality content and efficient presentations. Furthermore, personalized materials based on emotions make sales negotiations more effective.

[0912] Specific example

[0913] For example, suppose a user provides sales data for the "Kanto" area and "Sales Company A." This data includes sales information for "Product X" and "Product Y." The user enters this information into an input form and requests document generation. The server then sends this data along with sentiment data to the artificial intelligence. Based on this data, the AI ​​dynamically generates sales materials that are adjusted to include simpler, easier-to-understand graphs and explanations if the user is feeling pressured.

[0914] Thus, the system of the present invention not only streamlines the creation of sales negotiation materials and automates the process, but also supports more effective sales negotiations by personalizing them while taking user emotions into consideration.

[0915] The following describes the processing flow.

[0916] Step 1: The user enters the area name, sales company name, and sales data into the terminal's input form. In addition, the emotion engine monitors the user's keyboard input speed and mouse movements in real time and collects the user's emotional data (e.g., stress level and satisfaction level).

[0917] Step 2: The terminal converts the data entered by the user and the sentiment data collected by the sentiment engine into JSON format and sends it to the server as a POST request. This request includes the area name, sales company name, sales data for each product, and sentiment data.

[0918] Step 3: The server parses the POST request received from the terminal and retrieves the input data and sentiment data. First, it passes the data through validation within the system to check the accuracy of the data format and whether there is any missing data.

[0919] Step 4: The server sends a document generation request to the artificial intelligence API based on the validated input data and sentiment data. The API request includes area name, sales company name, sales data, and sentiment data.

[0920] Step 5: The artificial intelligence analyzes the data received from the server and generates graphs and sales materials based on sales data. During this process, it dynamically adjusts the content and presentation of the materials based on user sentiment data. For example, if the user is feeling stressed, simpler and easier-to-understand graphs and explanations are added.

[0921] Step 6: The server receives sales presentation data generated by artificial intelligence. This data consists of presentation slides, image files, and other similar materials.

[0922] Step 7: The server integrates the received sales opportunity data into a default format. This format includes a title page, a table of contents page, and detailed data pages for each area and sales company. After integration, the final sales opportunity document is generated in PPTX file format.

[0923] Step 8: The server sends the generated PPTX file to the user. The method of sending is to generate a download link and provide that link to the user.

[0924] Step 9: The terminal displays a download link received from the server to the user. The user clicks this link to download the final sales presentation materials.

[0925] Step 10: Users can review the downloaded PPTX file and use it in other sales meetings or presentations as needed. Personalized sales materials based on sentiment data make presentations more effective.

[0926] (Example 2)

[0927] Next, we will describe Example 2. 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."

[0928] Creating sales materials required users to manually adjust the content and format, which was time-consuming and laborious. Furthermore, the process often proceeded without considering the user's emotional state, leading to situations where they were prone to feeling pressure and stress. This sometimes prevented sales negotiations from achieving their full potential.

[0929] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0930] In this invention, the server includes means for receiving input data from a user, means for transmitting the input data to artificial intelligence and requesting material generation, means for receiving material generated by the artificial intelligence, means for integrating the received material into a predetermined format, means for transmitting the integrated material to the user, means for collecting and analyzing emotional data from the user at the time of input, and means for dynamically adjusting the content and expression of the material using the emotional data. This enables efficient material creation and the provision of personalized material based on the user's emotions.

[0931] A "user" is a person or organization that accesses the system, inputs data, and requests the generation of sales materials.

[0932] "Input data" refers to information necessary for generating sales materials, such as area names, sales company names, and sales data for each product.

[0933] "Artificial intelligence" refers to programs and algorithms that analyze given data, automatically generate sales materials, and dynamically adjust their content.

[0934] "Emotional data" refers to information about a user's emotional state, such as stress levels and satisfaction levels, collected from their actions and feedback during input.

[0935] A "document generation request" is a request in which the user asks the artificial intelligence to generate business negotiation materials based on the data they have entered.

[0936] "Default format" refers to the layout of presentation slides and documents used to organize generated sales materials into a consistent format.

[0937] An "emotion engine" is software that monitors user input behavior and analyzes and collects emotional data.

[0938] A "download link" is a URL that allows users to download generated sales materials via the internet.

[0939] This invention provides a system for automating the creation of sales materials that recognizes the user's emotions and dynamically adjusts the content and expression of the materials using that emotional information, thereby providing more personalized sales materials.

[0940] Server-side processing

[0941] The server provides an interface for receiving input data from the user. This data includes area names, vendor names, and sales data for each product. The server also uses an emotion engine to acquire emotional data from the user during input. The emotion engine evaluates the user's stress and satisfaction levels based on keyboard input speed and feedback.

[0942] The server sends a request to the artificial intelligence API to generate materials based on this data. The data sent includes area names, sales company names, sales data for each product, and user sentiment data. The artificial intelligence analyzes this information and, taking the user sentiment data into consideration, generates graphs and sales materials based on sales data. For example, if the user is feeling pressured, the content of the materials will be adjusted to a simpler and easier-to-understand format.

[0943] The artificial intelligence sends the generated sales presentation data back to the server. The server integrates the received sales presentation data into PPTX format. This format includes a title page, a table of contents page, and detailed data pages for each area and sales company.

[0944] Finally, the server sends the generated PPTX file to the user. This is done by generating a download link and providing that link to the user.

[0945] Terminal-side processing

[0946] When a user accesses the system, an input form is displayed. The user uses this form to enter necessary information such as area name, sales company name, and sales data. As the user enters information, the emotion engine monitors their input status and behavior, collecting emotion data. It infers emotions from keyboard input speed and screen scrolling behavior.

[0947] Once the input is complete, the user clicks the "Generate Document" button. This causes the device to send the input data and sentiment data to the server. When the server generates the sales presentation document and sends it back, the device displays it to the user either as a download link or directly. The user can review the displayed sales presentation document and download it if necessary.

[0948] User-side operations

[0949] The user enters the area name, sales company name, and related sales data into the system's input form. During this process, the emotion engine operates to recognize the user's current emotions. Next, the user clicks the "Generate Data" button, sending the input data and emotion data to the server.

[0950] When sales materials generated from the server are returned, they are displayed on the user's device. Users can review and download the displayed sales materials. Furthermore, because the materials are completed quickly, are of high quality, and are personalized based on emotions, sales negotiations proceed more effectively.

[0951] Specific example

[0952] For example, if a user enters sales data for the "Kanto" area and "Sales Company A," the input data will include sales information for "Product X" and "Product Y." The user enters this information into the input form and requests document generation. The server then sends this data along with sentiment data to artificial intelligence. Based on this data, the AI ​​dynamically generates sales materials that are adjusted to include simpler, easier-to-understand graphs and explanations if the user is feeling pressured. This system not only streamlines and automates the creation of sales materials, but also provides personalized materials that take the user's emotions into account.

[0953] Example of a prompt

[0954] The following are examples of prompts to input into a generative AI model:

[0955] The user has entered sales data for the "Kanto" area and "Sales Company A". This includes sales information for products X and Y. According to the user's sentiment data, they are feeling pressured. Based on this data, please generate sales materials that include easy-to-understand graphs and explanations to help alleviate this pressure.

[0956] By using this prompt, the generating AI model can automatically create the sales materials that the user needs.

[0957] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0958] Step 1:

[0959] The user accesses the system's input form and enters the area name, sales company name, and sales data for each product. After the input form is displayed, the user enters the sales data for the "Kanto" area, "Sales Company A," product X, and product Y into the form. As the input progresses, the emotion engine monitors the keyboard input speed and screen scrolling.

[0960] Input: User input of area name, sales company name, and sales data for each product.

[0961] Output: Collection of input dataset and sentiment data

[0962] Specific actions:

[0963] The user enters the area name "Kanto" and the sales company name "Sales Company A".

[0964] The user enters sales data for product X (100 units) and product Y (50 units).

[0965] The emotion engine analyzes input speed and collects emotional data.

[0966] Step 2:

[0967] When the user clicks the "Generate Data" button, the device sends the entered data and collected sentiment data to the server. The server receives this data and uses a sentiment engine to evaluate the user's emotional state.

[0968] Input: User clicks the "Generate Document" button.

[0969] Output: Input data and sentiment data sent to the server

[0970] Specific actions:

[0971] The user clicks the "Generate Document" button.

[0972] The server receives input data and sentiment data.

[0973] The emotion engine evaluated the user's emotional state as "feeling pressured."

[0974] Step 3:

[0975] The server creates a request to the artificial intelligence API based on the received data. The request includes the area name, the name of the sales company, sales data for each product, and user sentiment data.

[0976] Input: Received input data and sentiment data

[0977] Output: Request data sent to the artificial intelligence API

[0978] Specific actions:

[0979] The server sends a request to the AI ​​API indicating "sales data for Kanto area, sales company A, products X and Y, and users experiencing pressure."

[0980] Step 4:

[0981] The artificial intelligence analyzes the provided data and generates sales materials. If the user is feeling pressured, it adjusts the material's content to a simpler, easier-to-understand format.

[0982] Input: Request data sent to the artificial intelligence API

[0983] Output: Generated sales negotiation document data

[0984] Specific actions:

[0985] Artificial intelligence converts complex bar graphs into simple pie charts.

[0986] Add more specific and detailed information to the description.

[0987] Step 5:

[0988] The server receives the generated data returned by the artificial intelligence and integrates it into PPTX format. The format includes a title page, a table of contents page, and detailed data pages for each area and vendor.

[0989] Input: Sales negotiation data returned from the artificial intelligence API.

[0990] Output: Sales presentation materials in integrated PPTX format

[0991] Specific actions:

[0992] Integrate various graphs and explanations into a PPTX slide format.

[0993] Apply standard formatting for title pages, table of contents pages, etc.

[0994] Step 6:

[0995] The server saves the completed PPTX file and generates a download link. By providing this link to the user, the user can easily download the file.

[0996] Input: Integrated PPTX file

[0997] Output: Generated download link

[0998] Specific actions:

[0999] The server saves the PPTX file and generates a download link.

[1000] Send the download link to the user's contact email address.

[1001] Step 7:

[1002] The user clicks the provided download link to obtain the generated sales opportunity document. They review the document and make any necessary edits.

[1003] Input: Generated download link

[1004] Output: Downloaded sales materials

[1005] Specific actions:

[1006] The user clicked the download link in the email.

[1007] Check the downloaded PPTX file and review the slide content.

[1008] (Application Example 2)

[1009] Next, we will explain application example 2. In the following explanation, 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."

[1010] Traditional sales presentation system creation methods failed to consider the user's emotional state, making it difficult to create personalized materials tailored to individual needs. Furthermore, it was impossible to grasp the emotional state in real time during a sales meeting and dynamically adjust materials and presentation methods accordingly. This resulted in limited effectiveness of sales meetings and decreased user satisfaction.

[1011] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[1012] In this invention, the server includes means for receiving input data from a user, means for transmitting the input data to artificial intelligence and requesting the generation of materials, means for receiving materials generated by the artificial intelligence, means for integrating the received materials into a predetermined format, means for transmitting the integrated materials to the user, means for collecting user emotion data, means for dynamically adjusting the content of the materials generated based on the emotion data, and means for collecting the emotion data and displaying it on a display device during a business negotiation. This makes it possible to create personalized materials that take into account the user's emotional state and to provide presentations that reflect emotional information in real time during a business negotiation.

[1013] "Means for receiving input data from users" refers to devices or methods for collecting information such as area names, sales company names, and sales data provided by users.

[1014] "Means for sending data to artificial intelligence and requesting document generation" refers to a device or method that sends received user input data to an artificial intelligence system and requests the system to automatically create documents for business negotiations.

[1015] "Means for receiving materials generated by artificial intelligence" refers to a device or method for receiving business negotiation materials generated by an artificial intelligence system.

[1016] "Means of integrating into a default format" refers to a device or method for organizing and editing received business negotiation materials to conform to a standard format such as a presentation format.

[1017] "Means of transmission to the user" refers to a device or method for providing integrated sales materials to the user.

[1018] "Means for collecting user emotional data" refers to a device or method for detecting and collecting data on a user's emotional state (e.g., stress level or satisfaction level).

[1019] "Means for dynamically adjusting the content of generated materials" refers to a device or method for changing and adjusting the content and presentation of sales materials in real time based on collected sentiment data.

[1020] "Means for collecting emotional data and presenting it on a display device during a business negotiation" refers to a device or method for collecting user emotional data and visually presenting it through a display device such as smart glasses during the progress of a business negotiation.

[1021] The "form for entering area and sales company information" is an interface for users to enter information such as the area name and sales company name.

[1022] "Means for sending to the server" refers to a device or method for sending input information to a server for processing.

[1023] "Means of display" refers to a device or method for visually displaying generated materials on a terminal or other device.

[1024] "Means for automatically generating graphs based on sales data" refers to a device or method that automatically creates graphs using artificial intelligence based on multiple sales data entered by a user.

[1025] "Means for integrating into presentation format" refers to a device or method for integrating automatically generated graphs to adapt them to the presentation format of sales materials.

[1026] "Means for dynamically adjusting presentation methods" refers to a device or method that changes the presentation style and the way materials are presented in real time based on user sentiment data.

[1027] This invention is a system that automatically generates and dynamically adjusts sales materials while taking into account the user's emotional information. This invention is particularly effective in situations where the user uses smart glasses for sales negotiations or presentations. A specific embodiment of the system is shown below.

[1028] Server-side processing

[1029] Hardware and software

[1030] Hardware used: Data server, network interface

[1031] Software used: Python, artificial intelligence APIs (e.g., OpenAI API), database management system

[1032] Data processing flow

[1033] The server first receives multiple types of input data from the user. This includes area names, sales company names, and sales data for each product. If the user is wearing smart glasses, emotional data is also acquired from the smart glasses' sensors. Emotional data is updated in real time and collected based on the user's input speed and information from the glasses' screen operation.

[1034] Based on this data, the server sends a request to the artificial intelligence API to generate materials. The data sent includes user input data and sentiment data. The artificial intelligence analyzes this information and generates graphs and sales materials based on sales data. During this process, the content and presentation of the materials are dynamically adjusted based on the user's sentiment data.

[1035] For example, if the user is feeling pressured, clearer graphs or explanations may be added. The generated sales materials will be in presentation slide format and will include various graphs and data tables. The server will integrate the received materials into a default format and generate the final sales materials in PPTX file format. The final materials will be sent in a format that generates a download link and provides that link to the user.

[1036] Terminal-side processing

[1037] Hardware and software

[1038] Hardware used: Smart glasses, user devices (smartphones, tablets, etc.)

[1039] Software used: Web browser, data entry form, display application

[1040] Data processing flow

[1041] When a user accesses the system, an input form is displayed. The user uses this form to enter necessary information such as the area name, sales company name, and sales data. During the input process, the smart glasses collect the user's emotional data and send it to the server.

[1042] When a user clicks the "Generate Document" button, the input data and sentiment data are sent to the server. Once the server generates the sales presentation document and sends it back, the terminal displays it to the user either as a download link or directly. The user can review the displayed sales presentation document and download it if necessary.

[1043] User-side operations

[1044] The user enters the area name, sales company name, and relevant sales data into the system's input form. During the input process, smart glasses operate, collecting the user's current emotional data and sending it to the server. Next, the user clicks the "Generate Document" button, sending the input data and emotional data to the server. The sales materials returned from the server are displayed on the user's device, which the user can review and download. This ensures that high-quality materials are produced quickly, leading to more efficient sales negotiations. Furthermore, personalized materials based on emotions make sales negotiations even more effective.

[1045] Specific example

[1046] For example, suppose a user provides sales data for the "Kanto" area and "Sales Company A." This data includes sales information for "Product X" and "Product Y." The user enters this information into an input form and requests document generation. The server then sends this data along with sentiment data to the artificial intelligence. Based on this data, the AI ​​dynamically generates sales materials that are adjusted to include simpler, easier-to-understand graphs and explanations if the user is feeling pressured.

[1047] Examples of prompts to input into a generative AI model:

[1048] "Based on sales data for products X and Y from sales company A in the Kanto area, please create a sales presentation document that includes easy-to-understand graphs and explanations illustrating when users are feeling pressured."

[1049] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[1050] Step 1:

[1051] The user accesses the system, and an input form is displayed. The user enters necessary information such as area name, distributor name, and sales data. The smart glasses collect the user's emotional data in real time. This includes input speed, eye movements, and facial expressions. Input: Area name, distributor name, sales data, emotional data. Output: Input data and emotional data.

[1052] Step 2:

[1053] When a user clicks the "Generate Data" button, input data and sentiment data are sent to the server. This transmission uses the HTTPS protocol. Input: Request to the server. Output: Request containing input data and sentiment data.

[1054] Step 3:

[1055] The server analyzes the received input data and sentiment data and sends a data generation request to the artificial intelligence API. Input data includes area names, sales company names, and sales data, while sentiment data includes stress levels and satisfaction levels. Input: Area names, sales company names, sales data, sentiment data. Output: Request to the artificial intelligence API.

[1056] Step 4:

[1057] The artificial intelligence API generates sales materials based on the submitted data. It dynamically adjusts the content and presentation of the materials, taking emotional data into consideration, for example, by adding simple and easy-to-understand graphs and explanations if the user is feeling pressured. Input: Area name, sales company name, sales data, emotional data. Output: Generated sales materials.

[1058] Step 5:

[1059] The AI ​​API sends the sales negotiation materials back to the server. The server integrates the received sales negotiation materials into a default format and creates presentation slides (PPTX file format). Input: Generated sales negotiation materials. Output: Slides integrated into the default format.

[1060] Step 6:

[1061] The server sends the generated sales materials (in PPTX file format) to the user. The method of delivery involves generating a download link and providing that link to the user. Input: PPTX file. Output: Download link.

[1062] Step 7:

[1063] The user clicks a download link on their device to download or view the sales materials. The user reviews the materials and uses them during the sales meeting as needed. Emotional data is continuously collected during the meeting via smart glasses, allowing for real-time adjustments to the presentation method. Input: Download link. Output: Sales materials.

[1064] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[1065] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1066] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[1067] [Fourth Embodiment]

[1068] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[1069] As shown in Figure 7, the 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.

[1070] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1071] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[1072] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[1073] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[1074] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[1075] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive 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 robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[1076] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[1077] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[1078] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1079] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[1080] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1081] This invention's system automates the creation of sales materials. Based on data entered by the user, artificial intelligence automatically generates the materials, integrates them into a predetermined format, and provides them to the user. The specific operation of the system is described below.

[1082] Server-side processing

[1083] The server receives multiple types of input data from the user. This data includes area names, sales company names, and corresponding sales data. After receiving this data, the server generates a request to the artificial intelligence API and sends the data to the AI.

[1084] The artificial intelligence generates sales materials based on the received data. Specifically, it creates graphs from sales data and formats them as PowerPoint slides. The AI ​​performs these processes and sends the generated slide data back to the server.

[1085] The server integrates the received slide data into a default format. This format includes a title page and table of contents, and sets up a consistent layout for the entire sales presentation. The integrated document is ultimately generated as a PPTX file.

[1086] Finally, the server sends the generated PPTX file to the user. This file is then presented to the user as a download link.

[1087] Terminal-side processing

[1088] When a user accesses the system, an input form is displayed. The user uses this form to enter necessary information such as area name, sales company name, and sales data. Once the user has finished entering the information, they click the "Generate Document" button. This action sends the entered data to the server.

[1089] When the server returns the generated sales opportunity documents, the terminal displays them to the user either as a download link or directly. The user can then review the generated documents and download them as needed.

[1090] User-side operations

[1091] The user enters the area name, distributor name, and related sales data into the system's input form. This input process allows for the inclusion of detailed sales data based on specific areas and distributors. Next, the user clicks the "Generate Data" button to send the data generation request to the server.

[1092] When sales materials are returned from the server, they are displayed on the user's terminal. Users can then review and download the displayed sales materials. As a result, users can obtain high-quality sales materials in a short amount of time, significantly reducing the time spent creating those materials.

[1093] Specific example

[1094] For example, suppose a user provides sales data for the "Kanto" area and "ABC Trading Company." This data includes sales information for "Product A" and "Product B." The user enters this information into an input form and requests data generation, and the server sends this data to the artificial intelligence.

[1095] Artificial intelligence generates sales graphs based on this data and converts them into PowerPoint slides. The server receives these slides, integrates them into a default format, and sends them to the user. The user can download the generated PPTX file and immediately use it in sales meetings.

[1096] Thus, the system of the present invention streamlines the creation of business negotiation materials and automates the process, thereby significantly reducing the burden on the user.

[1097] The following describes the processing flow.

[1098] Step 1: The user enters the area name, sales company name, and sales data into the terminal's input form. This includes sales data for products in the specified area and for each sales company. Once the user has finished entering the data, they click the "Generate Document" button.

[1099] Step 2: The terminal converts the data entered by the user into JSON format and sends a POST request to the server. This request includes the area name, sales company name, and sales data for each product.

[1100] Step 3: The server parses the POST request received from the terminal and retrieves the input data. This data passes through validation within the system to check for format accuracy and the presence of missing data.

[1101] Step 4: The server sends a data generation request to the artificial intelligence API based on the input data that has passed validation. The API request includes the area name, sales company name, and sales data.

[1102] Step 5: The artificial intelligence analyzes the data received from the server and generates graphs and sales materials based on sales data. The generated data is presented as slides and includes various graphs and data tables.

[1103] Step 6: The server receives the sales presentation data generated by the artificial intelligence. This data consists of slide files, images, and other elements.

[1104] Step 7: The server integrates the received sales opportunity data into a default format. This format includes a title page, a table of contents page, and detailed data pages for each area and sales company. After integration, the final sales opportunity document is generated in PPTX file format.

[1105] Step 8: The server sends the generated PPTX file to the user. The method of sending is to generate a download link and provide that link to the user.

[1106] Step 9: The terminal displays a download link received from the server to the user. The user clicks this link to download the final sales presentation materials.

[1107] Step 10: The user reviews the downloaded PPTX file and can use it in other business meetings or presentations as needed. This allows for high-quality materials to be created quickly, resulting in more efficient presentations.

[1108] (Example 1)

[1109] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1110] Traditional sales presentation material creation processes have been problematic because they require users to manually organize data, create graphs, and compile them into presentations, which is extremely time-consuming and labor-intensive. Furthermore, maintaining formatting consistency is difficult, leading to inconsistencies in the quality of the materials. To address these issues, it is necessary to provide a system that allows users to quickly generate high-quality, consistent sales presentation materials with simple operations.

[1111] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[1112] In this invention, the server includes means for receiving input data from a user, means for sending the input data to an artificial intelligence model in the form of prompt statements and requesting the generation of materials, means for receiving slide data generated from the artificial intelligence model, means for integrating the received slide data into a unified format, and means for sending the integrated slide data to the user in presentation file format. This makes it possible for the artificial intelligence model to automatically generate sales materials based on data entered by the user, and to provide those materials in a consistent format.

[1113] "Means for receiving input data from users" refers to a system in which the server receives information such as area names, sales company names, and sales data entered by the user.

[1114] "Prompt format" refers to a textual format used to convey specific instructions to an artificial intelligence model based on data entered by the user.

[1115] An "artificial intelligence model" is an algorithm or system that performs natural language processing and data analysis to automatically generate sales materials based on user input data.

[1116] "Means of requesting document generation" refers to a system in which a server sends data in the form of prompt statements to an artificial intelligence model and requests the generation of business negotiation documents.

[1117] "Slide data generated from an artificial intelligence model" refers to presentation-style slide files automatically generated by an artificial intelligence model after analyzing user input data.

[1118] A "standardized format" refers to a template or style guide that is pre-configured to ensure a consistent layout and design for sales materials.

[1119] A "presentation file format" is a file format (e.g., a PPTX file) that can be viewed and edited by a user using presentation software.

[1120] "Means of sending to the user" refers to the mechanism by which the server sends the generated presentation file to the user's terminal (e.g., generating and notifying a download link).

[1121] "Means of providing an input form" refers to a web interface or application screen for users to input area names, sales company names, and sales data.

[1122] "Means of displaying download links" refers to a system that provides links or buttons to allow users to easily access and download the generated sales materials.

[1123] Modes for carrying out the invention

[1124] This invention is a system for automating the creation of business negotiation materials. A specific embodiment of the system is described below.

[1125] Server-side processing

[1126] The server receives input data from the user, including area name, sales company name, and sales data. This process is achieved by receiving data in JSON format via an HTTP POST request. The server parses the received JSON data and generates prompt statements for the artificial intelligence model. These prompt statements are generated as follows:

[1127] Please create sales materials based on the following data:

[1128] Area name: Kanto

[1129] Distributor name: ABC Trading Co., Ltd.

[1130] Sales data:

[1131] Product A: 5000 items

[1132] Product B: 3000 items

[1133] Using the generated prompt, the server requests the artificial intelligence model to generate materials. Examples of such AI models include OpenAI's GPT-3 and BERT. API requests are sent via HTTP POST, and the generated slide data is returned to the server in JSON format or binary data.

[1134] The server receives the returned slide data and integrates it into a default format. This format has a consistent layout, including a title page and table of contents page. The integration is performed using a library such as python-pptx. Finally, the server generates the integrated material as a PPTX file, uploads it to cloud storage (e.g., Amazon S3), and provides the user with a download link.

[1135] Terminal-side processing

[1136] When a user accesses the system, the terminal displays an input form. This form is generated using HTML and JavaScript, allowing the user to enter area name, sales company name, and sales data. When the user clicks the "Generate Document" button, the terminal sends the input data to the server. This transmission also uses an HTTP POST request.

[1137] When the server returns the generated sales materials, the terminal displays them to the user. The materials are displayed as a download link, which the user can click to download.

[1138] User-side operations

[1139] The user enters the required data into the system's input form. This input process can include detailed sales data based on specific areas or distributors. Once the input is complete, the user clicks the "Generate Document" button to send the document generation request to the server.

[1140] When sales materials are returned from the server, they are displayed on the user's device. Users can then review and download the displayed sales materials. This allows users to obtain high-quality sales materials in a short amount of time, significantly reducing the time spent creating them.

[1141] Specific example

[1142] For example, suppose a user has prepared sales data for the "Kanto" area and "ABC Trading Company." This data includes sales information for "Product A" and "Product B." The user enters this information into an input form and clicks the "Generate Document" button to request document generation.

[1143] The server receives input data and sends generated prompt messages to the artificial intelligence model. The AI ​​model generates sales graphs based on this data and converts them into PowerPoint slides. The server receives these slides, integrates them into a default format, and finally provides them to the user as a PPTX file.

[1144] Thus, the system of the present invention can significantly reduce the burden on users by streamlining the creation of sales materials and automating the entire process.

[1145] The flow of the specific processing in Example 1 will be explained using Figure 11.

[1146] Step 1:

[1147] The server receives input data from the user via an HTTP POST request, including the area name, sales company name, and sales data. This data is in JSON format and is parsed after reception. Specifically, the JSON data is retrieved from request.body and converted into an object using Python's json library.

[1148] Input: User-entered area name, sales company name, sales data

[1149] Output: Parsed input data

[1150] Step 2:

[1151] The server generates prompts for the artificial intelligence model based on the received JSON data. These prompts specifically describe the instructions the AI ​​model needs to generate sales materials. An example of a generated prompt is as follows:

[1152] Please create sales materials based on the following data:

[1153] Area name: Kanto

[1154] Distributor name: ABC Trading Co., Ltd.

[1155] Sales data:

[1156] Product A: 5000 items

[1157] Product B: 3000 items

[1158] In terms of specific actions, the prompt statement is constructed using a string format.

[1159] Input: Parsed input data

[1160] Output: Generated prompt message

[1161] Step 3:

[1162] The server sends the generated prompt text to the AI ​​model's API via an HTTP POST request, requesting data generation. At this time, it is necessary to specify the API key and endpoint URL. Specifically, the requests library is used to send the API request.

[1163] Input: Generated prompt message

[1164] Output: Slide data returned from the artificial intelligence model (in JSON format or binary data)

[1165] Step 4:

[1166] The server receives slide data returned from the artificial intelligence model. This involves parsing the API response. Specifically, it analyzes the response data and extracts the necessary information.

[1167] Input: Slide data returned from the artificial intelligence model

[1168] Output: Analyzed slide data

[1169] Step 5:

[1170] The server integrates the parsed slide data into a default format. This format includes a title page and table of contents page, and a consistent design is applied. The python-pptx library is used to embed the slide data into the template.

[1171] Input: Analyzed slide data

[1172] Output: Sales materials integrated into a format

[1173] Step 6:

[1174] The server converts the integrated sales materials into a PPTX file and uploads it to cloud storage (e.g., Amazon S3). Specifically, it uses the boto3 library to upload the file to the S3 bucket.

[1175] Input: Sales materials integrated into the format

[1176] Output: URL link to the PPTX file on cloud storage

[1177] Step 7:

[1178] The server returns a download link for the generated PPTX file to the user. The link is returned as an HTTP response and displayed to the user. Specifically, the response object includes the URL link and is returned.

[1179] Input: URL link of a PPTX file on cloud storage

[1180] Output: Download link displayed to the user

[1181] Step 8:

[1182] When a user accesses the system, the terminal displays a form for the user to enter the area name, sales company name, and sales data. Specifically, HTML and JavaScript are used to generate the input form.

[1183] Input: None

[1184] Output: Displayed input form

[1185] Step 9:

[1186] The user enters the area name, sales company name, and sales data, then clicks the "Generate Document" button. This click sends the input data to the server. Specifically, the JavaScript fetch API is used to send the data.

[1187] Input: User-entered area name, sales company name, sales data

[1188] Output: Sending data to the server

[1189] Step 10:

[1190] When the generated sales materials are returned from the server, the terminal displays a download link for those materials to the user. The user can then click the link to download the materials. Specifically, the terminal generates and displays the link.

[1191] Input: Download link from server

[1192] Output: Download link displayed to the user

[1193] (Application Example 1)

[1194] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1195] Creating sales materials is often a time-consuming and laborious task, requiring specialized knowledge, especially when integrating multiple data sources to create a consistent presentation. Furthermore, factory management and sales activities demand immediate on-site responses, necessitating the rapid generation of sales materials. This necessitates factory managers and sales representatives to deliver quick and effective presentations, thereby improving productivity.

[1196] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[1197] In this invention, the server includes means for receiving input data from a user, means for transmitting the input data to artificial intelligence and requesting document generation, means for receiving documents generated by the artificial intelligence, means for integrating the received documents into a predetermined format, means for transmitting the integrated documents to the user, means for receiving data entered into a form including area information, organizational information, and work information, means for performing a factory status analysis based on the received data, means for generating sales materials based on the factory status analysis, and means for formatting the sales materials into a presentation format. This enables the user to quickly and efficiently generate sales materials that reflect the factory status in real time on-site and immediately utilize them in sales negotiations and presentations.

[1198] "Input data" refers to information provided by the user to the system, including area information, organizational information, and work information.

[1199] "Artificial intelligence" refers to programs and systems that use technologies such as machine learning and natural language processing to automatically generate business negotiation materials based on received data.

[1200] A "document generation request" is a request instructing artificial intelligence to create sales negotiation materials based on input data provided by the user.

[1201] "Area information" refers to information about a specific region or location, and serves as basic data for creating business negotiation materials.

[1202] "Organizational information" refers to information about a specific group or company, and serves as basic data for creating business negotiation materials.

[1203] "Work information" refers to information about the activities and progress at factories and work sites, and serves as basic data for creating sales negotiation materials.

[1204] "Factory situation analysis" refers to the process of evaluating and analyzing the condition and efficiency of a factory or work site based on the provided area information, organizational information, and work information.

[1205] "Sales materials" refer to presentation slides and related documents generated by artificial intelligence that users use for sales negotiations and presentations.

[1206] A "presentation format" refers to a format that has been structured to present business negotiation materials visually and effectively.

[1207] The system for carrying out this invention is configured as follows.

[1208] Server-side processing

[1209] The server has a means of receiving input data from the user. This input data includes area information, organizational information, and work information. After receiving this input data, the server requests artificial intelligence (AI) to generate data. Specifically, it processes the input data, generates a request to the AI ​​API, and sends it to the AI.

[1210] The artificial intelligence generates sales materials based on the received data. Specifically, it analyzes the factory situation based on the input work data and formats the results into PowerPoint slides. The slide data generated by the AI ​​is sent back to the server. The server receives this slide data and integrates it into a predetermined format. The integrated material is finally generated as a PPTX file and sent to the user.

[1211] Terminal-side processing

[1212] When a user accesses the system, an input form is displayed. The user uses this form to enter necessary information such as area information, organizational information, and work information. Once the user has finished entering the information, they click the "Generate Document" button, and the entered data is sent to the server.

[1213] Once the server returns the generated sales opportunity documents, the terminal displays them to the user either as a download link or directly. The user can then review the generated sales opportunity documents and download and use them as needed.

[1214] Specific example of processing

[1215] For example, suppose a factory manager prepares work data for the "Kanto area" and "ABC organization." This data includes the operating hours and production volume of "Machine A" and "Machine B." The user enters this information into an input form and clicks the "Generate Data" button. The server receives this information and sends it to the artificial intelligence.

[1216] Artificial intelligence analyzes factory conditions based on this data and converts sales graphs and other information into PowerPoint slides. The server then receives the generated slides, integrates them into a predefined format, and sends them to the user. The user can download the generated PPTX file and immediately use it in business negotiations and presentations.

[1217] Hardware and software to be used

[1218] The hardware used will primarily consist of robots equipped with tablets or smart displays. This hardware will assist with data input from the user. The software used will be as follows:

[1219] Python: Used as a development language

[1220] Flask: Web application framework

[1221] pptx library: Used to generate PPT files

[1222] OpenAI API: Access artificial intelligence and perform data processing and analysis.

[1223] Example of a prompt

[1224] The following is a concrete example of a prompt message that the system sends to the generated AI model:

[1225] "Please generate a description for the sales graph based on the following sales data."

[1226] Area: Kanto

[1227] Organization: ABC organization

[1228] Operation data: Machine A: Operating time 100 hours, Production volume 1000 units; Machine B: Operating time 150 hours, Production volume 1500 units.

[1229] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[1230] Step 1:

[1231] Users enter area information, organizational information, and work information into input forms on robots equipped with tablets or smart displays. The entered data includes specific geographical areas, company information, machine operating hours, and production volume. This input data is used as the system's initial data.

[1232] Step 2:

[1233] When the "Generate Document" button is clicked on the device, the device sends the entered data to the server. The input data is sent as an HTTP request and received at the server-side API endpoint. At this point, validation is performed to determine whether the input data was received correctly.

[1234] Step 3:

[1235] The server processes the received input data and generates a prompt message to request data generation from artificial intelligence (AI). This prompt message includes area information, organizational information, and work data. For example, the prompt message might be: "Generate a description of the sales graph based on the following sales data. Area: Kanto, Organization: ABC Organization, Work Data: Machine A: Operating hours 100 hours, Production volume 1000 units; Machine B: Operating hours 150 hours, Production volume 1500 units."

[1236] Step 4:

[1237] The server sends the generated prompt message to the artificial intelligence API (OpenAI API) to request the generation of sales presentation materials. The artificial intelligence analyzes the factory situation based on the input data and generates appropriate presentation slides. During this process, the AI ​​model analyzes text data and performs data processing to generate appropriate graphs and text.

[1238] Step 5:

[1239] The sales presentation materials generated by the artificial intelligence are returned to the server in PowerPoint slide format. The server further processes the received slide data and integrates it into a predetermined format. For example, it uses the pptx library to generate a PPTX file that includes a title page, a table of contents page, and pages containing specific analysis results.

[1240] Step 6:

[1241] The server then sends the final generated sales presentation document in PPTX format to the user. This document is provided as a download link, allowing the user to download it directly from their device. Additionally, the generated sales presentation document is displayed in real time on the device's screen.

[1242] Step 7:

[1243] Users can review the generated sales materials, download them as needed, and use them in sales negotiations and presentations. Because they can use these materials to provide specific details about the sales negotiations and factory conditions, efficient and effective presentations become possible.

[1244] Through the above processing steps, a system is realized that allows users to intelligently generate sales materials based on the data they input, and to use them quickly.

[1245] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[1246] This invention provides a system for automating the creation of sales materials that recognizes the user's emotions and dynamically adjusts the content and expression of the materials using that emotional information, thereby providing more personalized sales materials. The specific operation of the system is described below.

[1247] Server-side processing

[1248] The server first receives multiple types of input data from the user. This data includes area names, sales company names, and their respective sales data. Simultaneously, the server uses an emotion engine to acquire emotional data from the user's input. The emotion engine evaluates emotions based, for example, on the speed at which the user types on the keyboard and on the feedback they provide.

[1249] Next, the server sends a document generation request to the artificial intelligence API based on this data. The data sent includes area names, sales company names, sales data for each product, and user sentiment data. The artificial intelligence analyzes this information and generates graphs and sales materials based on the sales data. In this process, it dynamically adjusts the content and expression of the materials based on the sentiment data. For example, if the user is feeling pressured, it can add more easily understandable graphs and explanations.

[1250] The artificial intelligence sends the generated sales presentation data back to the server. This data is presented as presentation slides and includes various graphs and data tables. The server integrates the received sales presentation data into a predetermined format. This format includes a title page, a table of contents page, and detailed data pages for each area and sales company. The final sales presentation is generated in PPTX file format.

[1251] Finally, the server sends the generated PPTX file to the user. This is done by generating a download link and providing that link to the user.

[1252] Terminal-side processing

[1253] When a user accesses the system, an input form is displayed. The user uses this form to enter necessary information such as area name, sales company name, and sales data. During input, the emotion engine monitors the user's input status and behavior, and collects emotion data. For example, it infers emotions from keyboard input speed and screen scrolling behavior.

[1254] Once the user has finished entering the data, they click the "Generate Document" button. This action sends the input data and sentiment data to the server. The sentiment data includes the user's stress level and satisfaction level.

[1255] When the server returns the generated sales opportunity materials, the terminal displays them to the user either as a download link or directly. The user can review the displayed sales opportunity materials and download them as needed.

[1256] User-side operations

[1257] The user enters the area name, sales company name, and related sales data into the system's input form. During the input process, the emotion engine operates to recognize the user's current emotions. Next, the user clicks the "Generate Data" button, sending the input data and emotion data to the server.

[1258] When sales materials are returned from the server, they are displayed on the user's device. Users can review and download the displayed materials. This ensures that materials are produced quickly, resulting in high-quality content and efficient presentations. Furthermore, personalized materials based on emotions make sales negotiations more effective.

[1259] Specific example

[1260] For example, suppose a user provides sales data for the "Kanto" area and "Sales Company A." This data includes sales information for "Product X" and "Product Y." The user enters this information into an input form and requests document generation. The server then sends this data along with sentiment data to the artificial intelligence. Based on this data, the AI ​​dynamically generates sales materials that are adjusted to include simpler, easier-to-understand graphs and explanations if the user is feeling pressured.

[1261] Thus, the system of the present invention not only streamlines the creation of sales negotiation materials and automates the process, but also supports more effective sales negotiations by personalizing them while taking user emotions into consideration.

[1262] The following describes the processing flow.

[1263] Step 1: The user enters the area name, sales company name, and sales data into the terminal's input form. In addition, the emotion engine monitors the user's keyboard input speed and mouse movements in real time and collects the user's emotional data (e.g., stress level and satisfaction level).

[1264] Step 2: The terminal converts the data entered by the user and the sentiment data collected by the sentiment engine into JSON format and sends it to the server as a POST request. This request includes the area name, sales company name, sales data for each product, and sentiment data.

[1265] Step 3: The server parses the POST request received from the terminal and retrieves the input data and sentiment data. First, it passes the data through validation within the system to check the accuracy of the data format and whether there is any missing data.

[1266] Step 4: The server sends a document generation request to the artificial intelligence API based on the validated input data and sentiment data. The API request includes area name, sales company name, sales data, and sentiment data.

[1267] Step 5: The artificial intelligence analyzes the data received from the server and generates graphs and sales materials based on sales data. During this process, it dynamically adjusts the content and presentation of the materials based on user sentiment data. For example, if the user is feeling stressed, simpler and easier-to-understand graphs and explanations are added.

[1268] Step 6: The server receives sales presentation data generated by artificial intelligence. This data consists of presentation slides, image files, and other similar materials.

[1269] Step 7: The server integrates the received sales opportunity data into a default format. This format includes a title page, a table of contents page, and detailed data pages for each area and sales company. After integration, the final sales opportunity document is generated in PPTX file format.

[1270] Step 8: The server sends the generated PPTX file to the user. The method of sending is to generate a download link and provide that link to the user.

[1271] Step 9: The terminal displays a download link received from the server to the user. The user clicks this link to download the final sales presentation materials.

[1272] Step 10: Users can review the downloaded PPTX file and use it in other sales meetings or presentations as needed. Personalized sales materials based on sentiment data make presentations more effective.

[1273] (Example 2)

[1274] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1275] Creating sales materials required users to manually adjust the content and format, which was time-consuming and laborious. Furthermore, the process often proceeded without considering the user's emotional state, leading to situations where they were prone to feeling pressure and stress. This sometimes prevented sales negotiations from achieving their full potential.

[1276] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[1277] In this invention, the server includes means for receiving input data from a user, means for transmitting the input data to artificial intelligence and requesting material generation, means for receiving material generated by the artificial intelligence, means for integrating the received material into a predetermined format, means for transmitting the integrated material to the user, means for collecting and analyzing emotional data from the user at the time of input, and means for dynamically adjusting the content and expression of the material using the emotional data. This enables efficient material creation and the provision of personalized material based on the user's emotions.

[1278] A "user" is a person or organization that accesses the system, inputs data, and requests the generation of sales materials.

[1279] "Input data" refers to information necessary for generating sales materials, such as area names, sales company names, and sales data for each product.

[1280] "Artificial intelligence" refers to programs and algorithms that analyze given data, automatically generate sales materials, and dynamically adjust their content.

[1281] "Emotional data" refers to information about a user's emotional state, such as stress levels and satisfaction levels, collected from their actions and feedback during input.

[1282] A "document generation request" is a request in which the user asks the artificial intelligence to generate business negotiation materials based on the data they have entered.

[1283] "Default format" refers to the layout of presentation slides and documents used to organize generated sales materials into a consistent format.

[1284] An "emotion engine" is software that monitors user input behavior and analyzes and collects emotional data.

[1285] A "download link" is a URL that allows users to download generated sales materials via the internet.

[1286] This invention provides a system for automating the creation of sales materials that recognizes the user's emotions and dynamically adjusts the content and expression of the materials using that emotional information, thereby providing more personalized sales materials.

[1287] Server-side processing

[1288] The server provides an interface for receiving input data from the user. This data includes area names, vendor names, and sales data for each product. The server also uses an emotion engine to acquire emotional data from the user during input. The emotion engine evaluates the user's stress and satisfaction levels based on keyboard input speed and feedback.

[1289] The server sends a request to the artificial intelligence API to generate materials based on this data. The data sent includes area names, sales company names, sales data for each product, and user sentiment data. The artificial intelligence analyzes this information and, taking the user sentiment data into consideration, generates graphs and sales materials based on sales data. For example, if the user is feeling pressured, the content of the materials will be adjusted to a simpler and easier-to-understand format.

[1290] The artificial intelligence sends the generated sales presentation data back to the server. The server integrates the received sales presentation data into PPTX format. This format includes a title page, a table of contents page, and detailed data pages for each area and sales company.

[1291] Finally, the server sends the generated PPTX file to the user. This is done by generating a download link and providing that link to the user.

[1292] Terminal-side processing

[1293] When a user accesses the system, an input form is displayed. The user uses this form to enter necessary information such as area name, sales company name, and sales data. As the user enters information, the emotion engine monitors their input status and behavior, collecting emotion data. It infers emotions from keyboard input speed and screen scrolling behavior.

[1294] Once the input is complete, the user clicks the "Generate Document" button. This causes the device to send the input data and sentiment data to the server. When the server generates the sales presentation document and sends it back, the device displays it to the user either as a download link or directly. The user can review the displayed sales presentation document and download it if necessary.

[1295] User-side operations

[1296] The user enters the area name, sales company name, and related sales data into the system's input form. During this process, the emotion engine operates to recognize the user's current emotions. Next, the user clicks the "Generate Data" button, sending the input data and emotion data to the server.

[1297] When sales materials generated from the server are returned, they are displayed on the user's device. Users can review and download the displayed sales materials. Furthermore, because the materials are completed quickly, are of high quality, and are personalized based on emotions, sales negotiations proceed more effectively.

[1298] Specific example

[1299] For example, if a user enters sales data for the "Kanto" area and "Sales Company A," the input data will include sales information for "Product X" and "Product Y." The user enters this information into the input form and requests document generation. The server then sends this data along with sentiment data to artificial intelligence. Based on this data, the AI ​​dynamically generates sales materials that are adjusted to include simpler, easier-to-understand graphs and explanations if the user is feeling pressured. This system not only streamlines and automates the creation of sales materials, but also provides personalized materials that take the user's emotions into account.

[1300] Example of a prompt

[1301] The following are examples of prompts to input into a generative AI model:

[1302] The user has entered sales data for the "Kanto" area and "Sales Company A". This includes sales information for products X and Y. According to the user's sentiment data, they are feeling pressured. Based on this data, please generate sales materials that include easy-to-understand graphs and explanations to help alleviate this pressure.

[1303] By using this prompt, the generating AI model can automatically create the sales materials that the user needs.

[1304] The flow of the specific processing in Example 2 will be explained using Figure 13.

[1305] Step 1:

[1306] The user accesses the system's input form and enters the area name, sales company name, and sales data for each product. After the input form is displayed, the user enters the sales data for the "Kanto" area, "Sales Company A," product X, and product Y into the form. As the input progresses, the emotion engine monitors the keyboard input speed and screen scrolling.

[1307] Input: User input of area name, sales company name, and sales data for each product.

[1308] Output: Collection of input dataset and sentiment data

[1309] Specific actions:

[1310] The user enters the area name "Kanto" and the sales company name "Sales Company A".

[1311] The user enters sales data for product X (100 units) and product Y (50 units).

[1312] The emotion engine analyzes input speed and collects emotional data.

[1313] Step 2:

[1314] When the user clicks the "Generate Data" button, the device sends the entered data and collected sentiment data to the server. The server receives this data and uses a sentiment engine to evaluate the user's emotional state.

[1315] Input: User clicks the "Generate Document" button.

[1316] Output: Input data and sentiment data sent to the server

[1317] Specific actions:

[1318] The user clicks the "Generate Document" button.

[1319] The server receives input data and sentiment data.

[1320] The emotion engine evaluated the user's emotional state as "feeling pressured."

[1321] Step 3:

[1322] The server creates a request to the artificial intelligence API based on the received data. The request includes the area name, the name of the sales company, sales data for each product, and user sentiment data.

[1323] Input: Received input data and sentiment data

[1324] Output: Request data sent to the artificial intelligence API

[1325] Specific actions:

[1326] The server sends a request to the AI ​​API indicating "sales data for Kanto area, sales company A, products X and Y, and users experiencing pressure."

[1327] Step 4:

[1328] The artificial intelligence analyzes the provided data and generates sales materials. If the user is feeling pressured, it adjusts the material's content to a simpler, easier-to-understand format.

[1329] Input: Request data sent to the artificial intelligence API

[1330] Output: Generated sales negotiation document data

[1331] Specific actions:

[1332] Artificial intelligence converts complex bar graphs into simple pie charts.

[1333] Add more specific and detailed information to the description.

[1334] Step 5:

[1335] The server receives the generated data returned by the artificial intelligence and integrates it into PPTX format. The format includes a title page, a table of contents page, and detailed data pages for each area and vendor.

[1336] Input: Sales negotiation data returned from the artificial intelligence API.

[1337] Output: Sales presentation materials in integrated PPTX format

[1338] Specific actions:

[1339] Integrate various graphs and explanations into a PPTX slide format.

[1340] Apply standard formatting for title pages, table of contents pages, etc.

[1341] Step 6:

[1342] The server saves the completed PPTX file and generates a download link. By providing this link to the user, the user can easily download the file.

[1343] Input: Integrated PPTX file

[1344] Output: Generated download link

[1345] Specific actions:

[1346] The server saves the PPTX file and generates a download link.

[1347] Send the download link to the user's contact email address.

[1348] Step 7:

[1349] The user clicks the provided download link to obtain the generated sales opportunity document. They review the document and make any necessary edits.

[1350] Input: Generated download link

[1351] Output: Downloaded sales materials

[1352] Specific actions:

[1353] The user clicked the download link in the email.

[1354] Check the downloaded PPTX file and review the slide content.

[1355] (Application Example 2)

[1356] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1357] Traditional sales presentation system creation methods failed to consider the user's emotional state, making it difficult to create personalized materials tailored to individual needs. Furthermore, it was impossible to grasp the emotional state in real time during a sales meeting and dynamically adjust materials and presentation methods accordingly. This resulted in limited effectiveness of sales meetings and decreased user satisfaction.

[1358] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[1359] In this invention, the server includes means for receiving input data from a user, means for transmitting the input data to artificial intelligence and requesting the generation of materials, means for receiving materials generated by the artificial intelligence, means for integrating the received materials into a predetermined format, means for transmitting the integrated materials to the user, means for collecting user emotion data, means for dynamically adjusting the content of the materials generated based on the emotion data, and means for collecting the emotion data and displaying it on a display device during a business negotiation. This makes it possible to create personalized materials that take into account the user's emotional state and to provide presentations that reflect emotional information in real time during a business negotiation.

[1360] "Means for receiving input data from users" refers to devices or methods for collecting information such as area names, sales company names, and sales data provided by users.

[1361] "Means for sending data to artificial intelligence and requesting document generation" refers to a device or method that sends received user input data to an artificial intelligence system and requests the system to automatically create documents for business negotiations.

[1362] "Means for receiving materials generated by artificial intelligence" refers to a device or method for receiving business negotiation materials generated by an artificial intelligence system.

[1363] "Means of integrating into a default format" refers to a device or method for organizing and editing received business negotiation materials to conform to a standard format such as a presentation format.

[1364] "Means of transmission to the user" refers to a device or method for providing integrated sales materials to the user.

[1365] "Means for collecting user emotional data" refers to a device or method for detecting and collecting data on a user's emotional state (e.g., stress level or satisfaction level).

[1366] "Means for dynamically adjusting the content of generated materials" refers to a device or method for changing and adjusting the content and presentation of sales materials in real time based on collected sentiment data.

[1367] "Means for collecting emotional data and presenting it on a display device during a business negotiation" refers to a device or method for collecting user emotional data and visually presenting it through a display device such as smart glasses during the progress of a business negotiation.

[1368] The "form for entering area and sales company information" is an interface for users to enter information such as the area name and sales company name.

[1369] "Means for sending to the server" refers to a device or method for sending input information to a server for processing.

[1370] "Means of display" refers to a device or method for visually displaying generated materials on a terminal or other device.

[1371] "Means for automatically generating graphs based on sales data" refers to a device or method that automatically creates graphs using artificial intelligence based on multiple sales data entered by a user.

[1372] "Means for integrating into presentation format" refers to a device or method for integrating automatically generated graphs to adapt them to the presentation format of sales materials.

[1373] "Means for dynamically adjusting presentation methods" refers to a device or method that changes the presentation style and the way materials are presented in real time based on user sentiment data.

[1374] This invention is a system that automatically generates and dynamically adjusts sales materials while taking into account the user's emotional information. This invention is particularly effective in situations where the user uses smart glasses for sales negotiations or presentations. A specific embodiment of the system is shown below.

[1375] Server-side processing

[1376] Hardware and software

[1377] Hardware used: Data server, network interface

[1378] Software used: Python, artificial intelligence APIs (e.g., OpenAI API), database management system

[1379] Data processing flow

[1380] The server first receives multiple types of input data from the user. This includes area names, sales company names, and sales data for each product. If the user is wearing smart glasses, emotional data is also acquired from the smart glasses' sensors. Emotional data is updated in real time and collected based on the user's input speed and information from the glasses' screen operation.

[1381] Based on this data, the server sends a request to the artificial intelligence API to generate materials. The data sent includes user input data and sentiment data. The artificial intelligence analyzes this information and generates graphs and sales materials based on sales data. During this process, the content and presentation of the materials are dynamically adjusted based on the user's sentiment data.

[1382] For example, if the user is feeling pressured, clearer graphs or explanations may be added. The generated sales materials will be in presentation slide format and will include various graphs and data tables. The server will integrate the received materials into a default format and generate the final sales materials in PPTX file format. The final materials will be sent in a format that generates a download link and provides that link to the user.

[1383] Terminal-side processing

[1384] Hardware and software

[1385] Hardware used: Smart glasses, user devices (smartphones, tablets, etc.)

[1386] Software used: Web browser, data entry form, display application

[1387] Data processing flow

[1388] When a user accesses the system, an input form is displayed. The user uses this form to enter necessary information such as the area name, sales company name, and sales data. During the input process, the smart glasses collect the user's emotional data and send it to the server.

[1389] When a user clicks the "Generate Document" button, the input data and sentiment data are sent to the server. Once the server generates the sales presentation document and sends it back, the terminal displays it to the user either as a download link or directly. The user can review the displayed sales presentation document and download it if necessary.

[1390] User-side operations

[1391] The user enters the area name, sales company name, and relevant sales data into the system's input form. During the input process, smart glasses operate, collecting the user's current emotional data and sending it to the server. Next, the user clicks the "Generate Document" button, sending the input data and emotional data to the server. The sales materials returned from the server are displayed on the user's device, which the user can review and download. This ensures that high-quality materials are produced quickly, leading to more efficient sales negotiations. Furthermore, personalized materials based on emotions make sales negotiations even more effective.

[1392] Specific example

[1393] For example, suppose a user provides sales data for the "Kanto" area and "Sales Company A." This data includes sales information for "Product X" and "Product Y." The user enters this information into an input form and requests document generation. The server then sends this data along with sentiment data to the artificial intelligence. Based on this data, the AI ​​dynamically generates sales materials that are adjusted to include simpler, easier-to-understand graphs and explanations if the user is feeling pressured.

[1394] Examples of prompts to input into a generative AI model:

[1395] "Based on sales data for products X and Y from sales company A in the Kanto area, please create a sales presentation document that includes easy-to-understand graphs and explanations illustrating when users are feeling pressured."

[1396] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[1397] Step 1:

[1398] The user accesses the system, and an input form is displayed. The user enters necessary information such as area name, distributor name, and sales data. The smart glasses collect the user's emotional data in real time. This includes input speed, eye movements, and facial expressions. Input: Area name, distributor name, sales data, emotional data. Output: Input data and emotional data.

[1399] Step 2:

[1400] When a user clicks the "Generate Data" button, input data and sentiment data are sent to the server. This transmission uses the HTTPS protocol. Input: Request to the server. Output: Request containing input data and sentiment data.

[1401] Step 3:

[1402] The server analyzes the received input data and sentiment data and sends a data generation request to the artificial intelligence API. Input data includes area names, sales company names, and sales data, while sentiment data includes stress levels and satisfaction levels. Input: Area names, sales company names, sales data, sentiment data. Output: Request to the artificial intelligence API.

[1403] Step 4:

[1404] The artificial intelligence API generates sales materials based on the submitted data. It dynamically adjusts the content and presentation of the materials, taking emotional data into consideration, for example, by adding simple and easy-to-understand graphs and explanations if the user is feeling pressured. Input: Area name, sales company name, sales data, emotional data. Output: Generated sales materials.

[1405] Step 5:

[1406] The AI ​​API sends the sales negotiation materials back to the server. The server integrates the received sales negotiation materials into a default format and creates presentation slides (PPTX file format). Input: Generated sales negotiation materials. Output: Slides integrated into the default format.

[1407] Step 6:

[1408] The server sends the generated sales materials (in PPTX file format) to the user. The method of delivery involves generating a download link and providing that link to the user. Input: PPTX file. Output: Download link.

[1409] Step 7:

[1410] The user clicks a download link on their device to download or view the sales materials. The user reviews the materials and uses them during the sales meeting as needed. Emotional data is continuously collected during the meeting via smart glasses, allowing for real-time adjustments to the presentation method. Input: Download link. Output: Sales materials.

[1411] 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 controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[1412] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1413] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[1414] Furthermore, the emotion identification model 59, acting 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 a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1415] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[1416] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[1417] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[1418] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[1419] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is 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 the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[1420] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[1421] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[1422] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[1423] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[1424] 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.

[1425] Furthermore, it is not necessary to store the entirety 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 the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[1426] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[1427] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of 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). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[1428] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[1429] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[1430] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[1431] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted as being incorporated by reference.

[1432] The following is further disclosed regarding the embodiments described above.

[1433] (Claim 1)

[1434] A means of receiving input data from the user,

[1435] A means for transmitting the input data to artificial intelligence and requesting data generation,

[1436] A means of receiving materials generated by artificial intelligence,

[1437] A means for integrating the received material into a predetermined format,

[1438] A means for sending the integrated material to the user,

[1439] A system that includes this.

[1440] (Claim 2)

[1441] A means of providing a form for users to input area and sales company information,

[1442] A means for sending the information entered through the form to the server,

[1443] A means for receiving and displaying materials generated from the server,

[1444] The system according to claim 1, further comprising:

[1445] (Claim 3)

[1446] A means for receiving input data containing multiple sales data and automatically generating a graph based on said sales data,

[1447] A means for integrating the automatically generated graph into a presentation format,

[1448] The system according to claim 1, further comprising:

[1449] "Example 1"

[1450] (Claim 1)

[1451] A means of receiving input data from the user,

[1452] A means for sending the input data to an artificial intelligence model in the form of a prompt statement and requesting data generation,

[1453] A means of receiving slide data generated from an artificial intelligence model,

[1454] A means for integrating the received slide data into a unified format,

[1455] A means for sending the integrated slide data to the user in presentation file format,

[1456] A system that includes this.

[1457] (Claim 2)

[1458] A means of providing a form for users to input area and sales company information,

[1459] A means for sending the information entered through the form to the server,

[1460] A means for receiving and displaying presentation files generated from the server,

[1461] The system according to claim 1, further comprising:

[1462] (Claim 3)

[1463] A means for receiving input data containing multiple sales data and automatically generating a graph based on said sales data,

[1464] A means for integrating the automatically generated graph into a presentation material format,

[1465] The system according to claim 1, further comprising:

[1466] "Application Example 1"

[1467] (Claim 1)

[1468] A means of receiving input data from the user,

[1469] A means for transmitting the input data to artificial intelligence and requesting data generation,

[1470] A means of receiving materials generated by artificial intelligence,

[1471] A means for integrating the received material into a predetermined format,

[1472] A means for sending the integrated material to the user,

[1473] A means for receiving data entered into a form that includes area information, organizational information, and work information,

[1474] The means further includes means for performing an analysis of the factory situation based on the received data,

[1475] A means for generating business negotiation materials based on an analysis of the factory's situation,

[1476] A means of formatting the business negotiation materials into a presentation format,

[1477] A system that includes this.

[1478] (Claim 2)

[1479] A means of providing a form for users to input area and organization information,

[1480] A means for sending the information entered through the form to the server,

[1481] A means for receiving and displaying business negotiation materials generated from the server,

[1482] A means including a display device that displays the received business negotiation materials in real time,

[1483] One method is to provide sales materials as a download link,

[1484] The system according to claim 1, including the following:

[1485] (Claim 3)

[1486] A means for receiving input data containing multiple work data and automatically generating a graph based on said work data,

[1487] A means for integrating the automatically generated graph into a presentation format,

[1488] Means for displaying the presentation to the user,

[1489] The system according to claim 1, including the following:

[1490] "Example 2 of combining an emotion engine"

[1491] (Claim 1)

[1492] A means of receiving input data from the user,

[1493] A means for transmitting the input data to artificial intelligence and requesting data generation,

[1494] A means of receiving materials generated by artificial intelligence,

[1495] A means for integrating the received material into a predetermined format,

[1496] A means for sending the integrated material to the user,

[1497] A means of collecting and analyzing emotional data from user input,

[1498] A means for dynamically adjusting the content and expression of materials using the said emotional data,

[1499] A system that includes this.

[1500] (Claim 2)

[1501] A means of providing a form for users to input area and sales company information,

[1502] A means for sending the information entered through the form to the server,

[1503] A means for receiving and displaying materials generated from the server,

[1504] A means for collecting user sentiment data and dynamically adjusting the format of materials based on said sentiment data,

[1505] The system according to claim 1, further comprising:

[1506] (Claim 3)

[1507] A means for receiving input data containing multiple sales data and automatically generating a graph based on said sales data,

[1508] A means for integrating the automatically generated graph into a presentation format,

[1509] A method for dynamically adjusting graphs and explanatory text using user sentiment data,

[1510] The system according to claim 1, further comprising:

[1511] "Application example 2 when combining with an emotional engine"

[1512] (Claim 1)

[1513] A means of receiving input data from the user,

[1514] A means for transmitting the input data to artificial intelligence and requesting data generation,

[1515] A means of receiving materials generated by artificial intelligence,

[1516] A means for integrating the received material into a predetermined format,

[1517] A means for sending the integrated material to the user,

[1518] Means for collecting user sentiment data,

[1519] A means for dynamically adjusting the content of materials generated based on the said emotional data,

[1520] A means for collecting the emotional data and displaying it on a display device during a business negotiation,

[1521] A system that includes this.

[1522] (Claim 2)

[1523] A means of providing a form for users to input area and sales company information,

[1524] A means for sending the information entered through the form to the server,

[1525] A means for receiving and displaying materials generated from the server,

[1526] The system according to claim 1, further comprising:

[1527] (Claim 3)

[1528] A means for receiving input data containing multiple sales data and automatically generating a graph based on said sales data,

[1529] A means for integrating the automatically generated graph into a presentation format,

[1530] A means of dynamically adjusting presentation methods based on emotional data,

[1531] The system according to claim 1, further comprising: [Explanation of Symbols]

[1532] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means of receiving input data from the user, A means for transmitting the input data to artificial intelligence and requesting data generation, A means of receiving materials generated by artificial intelligence, A means for integrating the received material into a predetermined format, A means for sending the integrated material to the user, A system that includes this.

2. A means of providing a form for users to input area and sales company information, A means for sending the information entered through the form to the server, A means for receiving and displaying materials generated from the server, The system according to claim 1, further comprising:

3. A means for receiving input data containing multiple sales data and automatically generating a graph based on said sales data, A means for integrating the automatically generated graph into a presentation format, The system according to claim 1, further comprising:

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