System

Abstract

A system is provided.SOLUTION: The system includes a means for inputting information related to a business negotiation by a user, a means for transmitting the inputted information to a server, a means for retrieving past business negotiation data and successful examples from a database, a means for generating a recommended business negotiation agenda and related materials based on the retrieval result, a means for transmitting the generated agenda and materials to a user terminal, and a means for displaying the agenda and materials transmitted to the terminal to the user.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] Preparing for business negotiations requires searching and analyzing past success stories and business negotiation data, but this requires a great deal of effort and time. In particular, when creating business negotiation materials for agents, selecting an appropriate agenda and related materials is important, but the process is complicated and can affect the quality of the negotiation. The objective of this invention is to provide a system that solves these problems and enables efficient and effective business negotiations. [Means for solving the problem]

[0005] The present invention provides a system including: a means for a user to input information about a business negotiation; a means for transmitting the input information to a server; a means for searching a database for past business negotiation data and success stories; a means for generating a recommended business negotiation agenda and related materials based on the search results; a means for transmitting the generated agenda and materials to a user terminal; and a means for displaying the transmitted agenda and materials to the user. This system includes a means for searching past business negotiation data and success stories using agency information and product names as search criteria, and also packages the generated recommended agenda and related materials and transmits them from the server to the terminal, allowing the user to obtain optimal business negotiation materials with simple operations. This significantly improves the efficiency of business negotiation preparation and enhances the quality of business negotiations.

[0006] "User" refers to the primary user who inputs business negotiation information into the system and uses the generated business negotiation agenda and related materials.

[0007] "Negotiation information" refers to specific information related to the negotiation, such as the name of the agency, the date of the negotiation, and the name of the product.

[0008] "Terminal" refers to an electronic device used by a user to enter business information and transmit that information to a server.

[0009] "Server" refers to the central computing unit of the system that receives business negotiation information sent from the terminals, analyzes the data, and generates proposals.

[0010] "Database" refers to a digital storage medium that stores data on past business negotiations and success stories.

[0011] "Search" refers to the process of extracting specific information (sales negotiation data or success stories) from a database based on certain conditions.

[0012] "Success stories" refer to specific data and materials from successful business negotiations in the past.

[0013] A "business negotiation agenda" refers to a document that lists the items and topics that are necessary for the progress of a business negotiation.

[0014] "Related materials" refers to materials including past success stories and other supplementary information that can be used as reference during business negotiations.

[0015] "Generation" refers to the process of creating a new business meeting agenda and related materials based on information entered by the user or information extracted from a database.

[0016] "Packaging" refers to the process of organizing the generated business meeting agenda and related materials into a single, integrated format.

[0017] "Sending" refers to the process of transferring the generated information from the server to the terminal.

[0018] "Display" refers to the process of presenting the business meeting agenda and related materials sent to the terminal on the screen so that the user can view them. [Brief explanation of the drawings]

[0019] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7]FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0020] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0021] First, the terms used in the following description will be explained.

[0022] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0023] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0024] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0025] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0026] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0027] [First embodiment]

[0028] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0029] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0030] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0031] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0032] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0033] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0034] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0035] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0036] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0037] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0038] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0039] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0040] The present invention relates to a system for improving the efficiency of creating business negotiation materials. This system automatically generates optimal business negotiation agendas and related materials and provides them to users simply by inputting the information required for business negotiations.

[0041] 1. Data Entry

[0042] The user uses the terminal to enter information about the business deal, specifically the following information:

[0043] Agency name

[0044] Negotiation date

[0045] Product name

[0046] 2. Data Transmission

[0047] The terminal collects the business negotiation information entered by the user and sends it to the server in a structured data format such as JSON.

[0048] 3. Data analysis and proposal generation

[0049] The server receives the business negotiation information sent from the device. Based on the received information, it performs data analysis and generates proposals in the following steps:

[0050] 1. Searching historical data:

[0051] The server searches the database for past negotiation data related to the entered agency name and negotiation date, and obtains the past negotiation history through this search.

[0052] 2. Extraction of success stories:

[0053] The server extracts past success stories related to the input product name from the database, thereby obtaining success story data related to the product.

[0054] 3. Generate a recommended agenda:

[0055] The server generates a recommended sales meeting agenda based on the acquired past sales meeting data and success stories, such as product introduction, competitor comparison, implementation support, and Q&A session.

[0056] 4. Generate related materials:

[0057] The server generates success stories and other supporting materials related to the product and associates them with the sales agenda.

[0058] 5. Packaging the agenda and materials:

[0059] The server assembles the generated business meeting agenda and related materials into a single package.

[0060] 4. Sending and displaying results

[0061] The server packages the generated business meeting agenda and related materials and transmits the package to the terminal, which includes recommended agenda items and links and files of related materials.

[0062] The terminal receives the business meeting agenda and related materials package sent from the server and displays them on the user interface, allowing the user to easily check the most suitable business meeting agenda and related materials.

[0063] Specific examples

[0064] For example, if a user enters an agent named "Agency A," a sales negotiation date of "December 1, 2023," and a product name of "Product X," the system will perform the following process:

[0065] 1. User enters:

[0066] Agency name: Agency A

[0067] Negotiation date: December 1, 2023

[0068] Product Name: Product X

[0069] 2. The device sends the data to the server.

[0070] 3. The server searches historical data and best practices to generate the following recommended agenda and materials:

[0071] Suggested agenda:

[0072] 1. Product introduction

[0073] 2. Competitive Comparison

[0074] 3. Implementation support

[0075] 4. Q&A session

[0076] Related resources:

[0077] Product X success story ppt (link)

[0078] 4. The server sends the results to the device.

[0079] 5. The terminal displays the results to the user, who uses them as materials for business negotiations.

[0080] In this way, the present invention improves the efficiency of creating business negotiation materials, and enables users to easily prepare optimal business negotiation materials.

[0081] The processing flow will be explained below.

[0082] Step 1:

[0083] The user uses the terminal to input business negotiation information, including the agent name, the business negotiation date, and the product name. The input information is accepted through a specific input form or application.

[0084] Step 2:

[0085] The terminal collects the business negotiation information entered by the user and converts the data into an appropriate format (e.g., JSON format), which is then prepared to be sent to the server.

[0086] Step 3:

[0087] The device sends well-formed data to the server, typically using a standard communications protocol such as HTTP or HTTPS.

[0088] Step 4:

[0089] The server receives the business negotiation information sent from the terminal, and the received data is stored in the server's memory or temporary storage.

[0090] Step 5:

[0091] The server searches the database for past negotiation data based on the negotiation information. This search is performed using the entered agent name and negotiation date as conditions. The search query is executed against the database and the results are retrieved.

[0092] Step 6:

[0093] The server extracts success stories related to the product name from the database. This extraction is also performed based on conditions. For example, success stories related to the product name "Product X" are searched for.

[0094] Step 7:

[0095] The server generates a recommended agenda based on the acquired sales negotiation data and success stories. The generated agenda includes items such as product introductions, competitor comparisons, implementation support, and Q&A sessions. These items are generated based on pre-set templates.

[0096] Step 8:

[0097] The server generates a link to a success story related to the product, for example, a link to a success story ppt for product X.

[0098] Step 9:

[0099] The server compiles the generated recommended agenda and related materials into a single package, which is organized in a structured format such as JSON or XML.

[0100] Step 10:

[0101] The server sends the packaged business agenda and related materials to the terminal, again using HTTP or HTTPS protocol.

[0102] Step 11:

[0103] The device receives the package sent from the server, and the received data is stored in the device's memory or temporary storage.

[0104] Step 12:

[0105] The terminal displays the received business meeting agenda and related materials on a user interface, allowing the user to easily check the recommended agenda and related materials.

[0106] In this way, the system of the present invention significantly improves the efficiency of business negotiation preparation and quickly provides users with materials that allow them to conduct effective business negotiations.

[0107] Example 1

[0108] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0109] Creating sales meeting materials requires a great deal of time and effort. In particular, generating recommended agendas and related materials based on past sales meeting data and success stories is time-consuming and hinders efficient sales meeting preparation. There is a need for a system that can solve this problem and enable users to quickly and easily create optimal sales meeting materials.

[0110] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0111] In this invention, the server includes means for a user to input information about a business negotiation, means for transmitting the input information to the server, means for searching a database for past business negotiation data and success stories, means for generating a recommended business negotiation agenda and related materials based on the search results, means for transmitting the generated agenda and materials to the user's terminal, and means for displaying the agenda and materials transmitted to the terminal to the user. This allows a user to simply input the necessary business negotiation information and automatically obtain the optimal business negotiation agenda and related materials, significantly improving the efficiency of business negotiation preparation.

[0112] "Means for users to input information related to business negotiations" refers to hardware or software that provides an interface for users to input information related to business negotiations (e.g., agency name, business negotiation date, product name, etc.).

[0113] "Means for transmitting input information to a server" refers to hardware or software that provides the functionality to convert the business negotiation information input by the user into a data format (e.g., JSON format) and transmit it to a server via the Internet or other communication means.

[0114] "Means for searching past business negotiation data and success stories from a database" refers to hardware or software that provides the functionality for a server to search past business negotiation data and success stories stored in a database based on specific conditions (e.g., agency name or product name) and obtain the required data.

[0115] "Means for generating recommended meeting agendas and related materials based on search results" refers to hardware or software that provides the functionality to automatically generate recommended meeting agendas and related materials (e.g., presentation materials, PDF files, etc.) based on acquired past meeting data and success stories.

[0116] "Means for transmitting the generated agenda and materials to the user terminal" refers to hardware or software that provides the functionality to package the business meeting agenda and related materials generated on the server and transmit them to the terminal used by the user.

[0117] "Means for displaying to the user the agenda and materials sent to the terminal" refers to hardware or software that provides the functionality for the user terminal to display the business meeting agenda and related materials received from the server in a form that can be visually confirmed by the user.

[0118] "Means for searching based on agency information and product name" refers to hardware or software that provides the functionality for the server to search past sales negotiation data and success stories in the database based on the agency name and product name entered, and to retrieve the relevant data.

[0119] "Means for packaging the generated recommended agenda and related materials and transmitting them from the server to the terminal" refers to hardware or software that provides the functionality to compile the business meeting agenda and related materials generated by the server into a single file or data package (e.g., a ZIP file) and transmit it to the user's terminal.

[0120] MODE FOR CARRYING OUT THE INVENTION

[0121] The present invention relates to a system for improving the efficiency of creating business negotiation materials. This system automatically generates optimal business negotiation agendas and related materials and provides them to the user simply by inputting the information required for the business negotiation. Specific embodiments of this system are described below.

[0122] 1. Data Entry

[0123] The user inputs business negotiation information through a terminal interface. This input interface is often implemented as a web application or mobile application. The user inputs, for example, the name of the agency, the date of the business negotiation, and the name of the product.

[0124] 2. Data Transmission

[0125] The device converts the information entered by the user into JSON format data and sends it to the server using standard protocols such as HTTP or HTTPS. At this stage, the device notifies the user that the transmission was successful.

[0126] 3. Data analysis and proposal generation

[0127] The server receives and parses the JSON data sent from the device. The server runs a backend implemented in Python, Node.js, etc., which performs the following processes:

[0128] 1. Searching historical data:

[0129] The server searches a database for past sales negotiation data related to the agent name and the sales negotiation date. This database is often a relational database such as MySQL (registered trademark) or PostgreSQL.

[0130] 2. Extraction of success stories:

[0131] The server extracts success stories related to the product name from the database. The success stories may be saved in formats such as Excel files or presentation materials.

[0132] 3. Generate a recommended agenda:

[0133] The server generates a recommended meeting agenda based on past meeting data and success stories, using a generative AI model to determine agenda items such as product introductions, competitor comparisons, implementation support, and Q&A sessions.

[0134] 4. Generate related materials:

[0135] The server generates success stories and other supporting materials related to the product and associates them with the sales agenda.

[0136] 5. Packaging the agenda and materials:

[0137] The server assembles the generated business meeting agenda and related materials into a package (eg, a ZIP file).

[0138] 4. Sending and displaying results

[0139] The server sends the generated package of business meeting agenda and related materials to the terminal, which displays the received content on the user interface. The user can check the displayed agenda and related materials.

[0140] Specific examples

[0141] For example, if a user enters "Agency A," "December 1, 2023," and "Product X," the system will do the following:

[0142] 1. User enters information:

[0143] Agency name: Agency A

[0144] Negotiation date: December 1, 2023

[0145] Product Name: Product X

[0146] 2. The device sends the data to the server.

[0147] 3. The server generates the following recommended agenda and materials:

[0148] Suggested agenda:

[0149] 1. Product introduction

[0150] 2. Competitive Comparison

[0151] 3. Implementation support

[0152] 4. Q&A session

[0153] Related resources:

[0154] Product X success story ppt (link)

[0155] 4. The server sends the results to the device.

[0156] 5. The terminal displays the results to the user, who uses them as materials for business negotiations.

[0157] Prompt Sentence Examples

[0158] Examples of prompts that the system can use to input the generative AI model are:

[0159] Generate a program for a sales meeting materials creation system. This system automatically generates the optimal sales meeting agenda and related materials based on the sales meeting information entered by the user. Sales meeting information includes the agency name, sales meeting date, and product name. Related materials include a link to a success story PowerPoint.

[0160] In this way, the present invention is a system that improves the efficiency of creating business negotiation materials and enables users to easily prepare optimal business negotiation materials.

[0161] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0162] Step 1:

[0163] The user enters the business negotiation information. The user enters the "agency name," "business negotiation date," and "product name" on the terminal interface. For example, the information entered is as follows:

[0164] Agency name: Agency A

[0165] Negotiation date: December 1, 2023

[0166] Product Name: Product X

[0167] The entered information is sent to the terminal.

[0168] Step 2:

[0169] The terminal sends data to the server. The terminal converts the information entered by the user into JSON format and sends it to the server via HTTP or HTTPS protocol. The data sent is in the following format:

[0170] json

[0171] {

[0172] "Agency Name": "Agency A",

[0173] "Negotiation date": "December 1, 2023",

[0174] "Product Name": "Product X"

[0175] }

[0176] The terminal confirms the completion of the transmission and displays a success message to the user.

[0177] Step 3:

[0178] The server receives and analyzes the data. The server parses the received JSON data and prepares to search the database for past sales negotiation data and success stories.

[0179] Step 4:

[0180] The server searches for past data. To retrieve past sales negotiation data, the server issues a search query to the database using the agent name "Agency A" and the sales negotiation date "December 1, 2023". For example, the retrieved data is in the following format:

[0181] json

[0182] {

[0183] "Opportunity ID": 123,

[0184] "Business details": "Emphasis on implementation support and Q&A sessions"

[0185] }

[0186] Step 5:

[0187] The server extracts success stories. The server extracts success stories from the database using the product name "Product X" as a condition. For example, the following success story data is obtained:

[0188] json

[0189] {

[0190] "Success case ID": 456,

[0191] "Key points for success": "Competitive comparison and implementation support were the deciding factors"

[0192] }

[0193] Step 6:

[0194] The server generates a recommended agenda. The server generates a recommended meeting agenda based on past meeting data and success stories. This process uses a generative AI model, and an agenda like the one below is generated:

[0195] Suggested agenda:

[0196] 1. Product introduction

[0197] 2. Competitive Comparison

[0198] 3. Implementation support

[0199] 4. Q&A session

[0200] Step 7:

[0201] The server generates related materials. The server generates success stories and supporting materials related to the product and associates them with the sales meeting agenda. Specifically, a ppt file link related to the success story of product X is generated:

[0202] Related resources:

[0203] Product X success story ppt (link)

[0204] Step 8:

[0205] The server packages the agenda and documents. The generated business meeting agenda and related documents are packaged together as a single package (e.g., a ZIP file).

[0206] Step 9:

[0207] The server sends the package to the terminal. The server sends the generated package of the business meeting agenda and related materials to the terminal. The specific contents sent are as follows:

[0208] Package Includes:

[0209] Recommended Agenda (text or HTML format)

[0210] Related links and files

[0211] Step 10:

[0212] The terminal displays the results to the user. The terminal displays the agenda and materials received from the server on the user interface. The user can check the displayed agenda and related materials and use them as business negotiation materials.

[0213] (Application example 1)

[0214] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0215] Conventional sales document creation systems have the problem of making it difficult to efficiently prepare for sales meetings while on the move. In particular, there is a lack of safe ways to check and edit documents in autonomous vehicles, and they are unable to provide adequate support for sales representatives to efficiently prepare sales documents. It is necessary to solve this problem and significantly improve the efficiency of sales meeting preparation.

[0216] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0217] In this invention, the server includes a means for a user to input information about a business negotiation, a means for transmitting the input information to the server, a means for searching a database for past business negotiation data and success stories, and a means for displaying and editing the generated agenda and materials on the dashboard or head-up display of the autonomous vehicle, thereby enabling the user to efficiently check and edit business negotiation materials even while traveling to the business negotiation.

[0218] The "means by which the user inputs information related to the business negotiation" refers to a device or interface that allows the user to input information necessary for the business negotiation, such as agency information, the date of the business negotiation, and the name of the product.

[0219] The "means for transmitting input information to a server" refers to a function or protocol for transmitting the business negotiation information input by the user to a server via a network.

[0220] The "means for searching a database for past business negotiation data and success stories" refers to an algorithm or system for quickly searching a database for past business negotiation data and success stories based on input business negotiation information.

[0221] The "means for generating recommended business meeting agendas and related materials based on search results" is software for analyzing the searched data and automatically generating optimal business meeting agendas and related materials.

[0222] The "means for transmitting the generated agenda and materials to the user terminal" refers to a communication function or protocol for transmitting the generated business negotiation agenda and related materials to the user terminal.

[0223] The "means for displaying to the user the agenda and materials transmitted to the terminal" refers to software or an interface for visually displaying the business meeting agenda and related materials on the user terminal.

[0224] "Means for displaying and editing business documents on the dashboard or head-up display of an autonomous vehicle while traveling to a business meeting" refers to functions and tools for displaying and editing business documents via the dashboard or head-up display in an autonomous vehicle while traveling to a business meeting.

[0225] MODE FOR CARRYING OUT THE INVENTION

[0226] System Overview

[0227] This invention relates to a sales negotiation material creation support system that is installed on the dashboard or head-up display of an autonomous vehicle. The system automatically generates optimal sales negotiation agendas and related materials and provides them to the user simply by inputting information about the sales negotiation.

[0228] Hardware and software used

[0229] The system uses the following hardware and software:

[0230] 1. Frontend:

[0231] Autonomous vehicle dashboard or head-up display (HUD)

[0232] Front-end UI: HTML / CSS / JavaScript (registered trademark)

[0233] 2. Backend:

[0234] Server: Any cloud server (e.g., AWS (registered trademark), Google (registered trademark) Cloud)

[0235] Application framework: Flask or Django (Python)

[0236] Database: PostgreSQL or MySQL

[0237] 3. Communication:

[0238] Send and receive data using REST API

[0239] Data format: JSON

[0240] Explanation of program processing

[0241] The main parts of the system and their specific processing will be described below.

[0242] 1. User data input

[0243] The user uses the terminal (dashboard or HUD of the autonomous vehicle) to input information about the deal, such as the agency name, deal date, product name, etc. This data is collected through the front-end UI in the following format:

[0244] Agency name

[0245] Negotiation date

[0246] Product name

[0247] 2. Data Transmission

[0248] The input data is sent to the server as structured data (JSON format). The server receives the data and stores it in a database.

[0249] 3. Data analysis and document generation

[0250] The server does the following:

[0251] 1. Search for historical data:

[0252] Past business negotiation data related to the entered agency name and business negotiation date is searched from the database.

[0253] 2. Extraction of success stories:

[0254] Past success stories related to the entered product name are extracted from the database.

[0255] 3. Generate a recommended agenda:

[0256] Generate recommended meeting agendas based on past meeting data and success stories (e.g., product introductions, competitive comparisons, implementation support, Q&A sessions).

[0257] 4. Generate related materials:

[0258] Generate success stories and other supporting materials related to the product and associate them with the sales agenda.

[0259] 4. Data transmission and display

[0260] The server compiles the generated business meeting agenda and related materials into a single package and sends it back to the terminal in JSON format. The terminal analyzes the received data and displays the business meeting materials on a dashboard or HUD.

[0261] Specific examples

[0262] Usage example

[0263] 1. A user (salesperson) enters the following sales information from the dashboard inside the autonomous vehicle:

[0264] Agency name: Agency A

[0265] Negotiation date: December 1, 2023

[0266] Product Name: Product X

[0267] 2. This data is sent to the server, and the sales negotiation materials are generated.

[0268] 3. The server generates the following recommended agenda and related materials:

[0269] Suggested agenda:

[0270] 1. Product introduction

[0271] 2. Competitive Comparison

[0272] 3. Implementation support

[0273] 4. Q&A session

[0274] Related resources:

[0275] Product X success story ppt (link)

[0276] 4. The generated materials are displayed on the dashboard or HUD of the autonomous vehicle for the user to review.

[0277] Prompt Sentence Examples

[0278] To generate a sales document, please provide the following information:

[0279] Please enter the agency name, the date of the negotiation, and the product name.

[0280] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0281] Step 1:

[0282] The user uses a terminal (dashboard or head-up display of the autonomous vehicle) to input information about the deal, such as the agency name, the deal date, and the product name. The input data is prepared as structured JSON data through the user interface. The input data includes the following items:

[0283] Agency name

[0284] Negotiation date

[0285] Product name

[0286] Step 2:

[0287] The terminal sends the entered data to the server using an HTTP POST request, and the data is sent to the server in JSON format, which the server receives and stores in a database.

[0288] Input: Opportunity information in JSON format

[0289] Output: Notification of completion of data transmission to the server

[0290] Step 3:

[0291] The server searches the database for related past sales negotiation data and success stories. The server searches for past sales negotiation data based on the input agency name and sales negotiation date. The server also extracts success stories related to the input product name from the database.

[0292] Input: Opportunity data and success story search criteria from the database

[0293] Output: Search results and historical data and success stories

[0294] Step 4:

[0295] The server generates a recommended sales meeting agenda and related materials based on the searched data. Specifically, it analyzes past sales meeting data and success stories to generate a sales meeting agenda that includes product introductions, competitive comparisons, implementation support, and Q&A sessions. Related materials (e.g., success story presentations) are also created.

[0296] Input: Historical data and success stories as search results

[0297] Output: Suggested agenda and related materials

[0298] Step 5:

[0299] The server compiles the generated business meeting agenda and related materials into a single package and sends it to the terminal in JSON format. Data is sent from the server using an HTTP POST request.

[0300] Input: Suggested agenda and related materials

[0301] Output: Notification of completion of data transmission to the terminal

[0302] Step 6:

[0303] The device analyzes the received meeting agenda and related documents and displays them to the user, providing visual information through a dashboard or head-up display, allowing the user to review and edit the meeting documents.

[0304] Input: Suggested agenda and related materials from the server

[0305] Output: Display in the user interface

[0306] Specific examples

[0307] For example, if a user (salesperson) enters the following sales information on the dashboard of an autonomous vehicle:

[0308] Agency name: Agency A

[0309] Negotiation date: December 1, 2023

[0310] Product Name: Product X

[0311] This data is sent to a server, which searches past deal data and success stories to generate a recommended agenda and related materials, such as:

[0312] Suggested agenda:

[0313] 1. Product introduction

[0314] 2. Competitive Comparison

[0315] 3. Implementation support

[0316] 4. Q&A session

[0317] Related resources:

[0318] Product X success story ppt (link)

[0319] The generated materials are displayed on the dashboard or head-up display of the autonomous vehicle, where they can be viewed and edited by the user.

[0320] Prompt Sentence Examples

[0321] To generate a sales document, please provide the following information:

[0322] Please enter the agency name, the date of the negotiation, and the product name.

[0323] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0324] This invention relates to a system that can conduct more effective business negotiations by improving the efficiency of creating business negotiation materials and combining it with an emotion engine that recognizes the user's emotions. This system not only automatically generates and provides the optimal business negotiation agenda and related materials to the user simply by the user inputting the information necessary for the business negotiation, but also adjusts the content of the materials taking the user's emotions into consideration.

[0325] 1. Data Entry

[0326] The user uses the terminal to input information about the business deal, including the following:

[0327] Agency name

[0328] Negotiation date

[0329] Product name

[0330] Users can also communicate their emotions using a microphone, camera, etc.

[0331] 2. Data Transmission

[0332] The device collects the sales negotiation information and emotion information entered by the user and sends it to the server in a structured data format such as JSON.

[0333] 3. Data analysis and proposal generation

[0334] The server receives the business negotiation information and emotion information sent from the device. Based on the received information, it performs data analysis and generates proposals in the following steps:

[0335] 1. Searching historical data:

[0336] The server searches the database for past negotiation data related to the entered agency name and negotiation date, and obtains the past negotiation history through this search.

[0337] 2. Extraction of success stories:

[0338] The server extracts past success stories related to the input product name from the database, thereby obtaining success story data related to the product.

[0339] 3. User Emotion Recognition:

[0340] The server analyzes the received emotional information to recognize the user's current emotional state, and determines whether the user's emotion is positive or negative using voice analysis, facial recognition, or text analysis.

[0341] 4. Generate a recommended agenda:

[0342] The server generates a recommended meeting agenda based on the acquired past meeting data and success stories, as well as the user's emotional state. For example, if the user is in a positive emotional state, the server generates an agenda with proactive suggestions, and if the user is in a negative emotional state, the server generates an agenda with a more supportive focus.

[0343] 5. Generate related materials:

[0344] The server generates success stories and other supporting materials related to the product and associates them with the sales agenda.

[0345] 6. Packaging the agenda and materials:

[0346] The server assembles the generated business meeting agenda and related materials into a single package.

[0347] 4. Sending and displaying results

[0348] The server then packages the generated business meeting agenda and related materials and sends them to the terminal, typically using a secure protocol such as HTTP or HTTPS.

[0349] The terminal receives the business meeting agenda and related materials package sent from the server and displays them on the user interface, allowing the user to easily check the most suitable business meeting agenda and related materials.

[0350] Specific examples

[0351] For example, if a user inputs the name of the agent "Agency A," the date of the meeting "December 1, 2023," the name of the product "Product X," and indicates a positive emotional state, the system will:

[0352] 1. User enters:

[0353] Agency name: Agency A

[0354] Negotiation date: December 1, 2023

[0355] Product Name: Product X

[0356] Emotional state: Positive

[0357] 2. The device sends the data to the server.

[0358] 3. The server searches historical data and best practices to generate the following recommended agenda and materials:

[0359] Suggested agenda:

[0360] 1. Product introduction (including proactive proposals)

[0361] 2. Competitive Comparison

[0362] 3. Implementation support

[0363] 4. Q&A session

[0364] Related resources:

[0365] Product X success story ppt (link)

[0366] 4. The server sends the results to the device.

[0367] 5. The terminal displays the results to the user, who uses them as materials for business negotiations.

[0368] In this way, insights into user sentiment can be used to provide more personalized meeting agendas and materials, increasing the success rate of sales negotiations.

[0369] The processing flow will be explained below.

[0370] Step 1:

[0371] The user uses the terminal to input business negotiation information (agency name, business negotiation date, product name), and also performs voice input and camera facial recognition to recognize the user's emotions.

[0372] Step 2:

[0373] The device collects the sales information and sentiment data entered by the user and converts it into JSON format, which is then ready to be sent to the server.

[0374] Step 3:

[0375] The device sends well-formatted business negotiation information data and emotion data to the server, typically using a secure communication protocol such as HTTPS.

[0376] Step 4:

[0377] The server receives the business negotiation information data and emotion data sent from the device, and the received data is stored in the server's memory or temporary storage.

[0378] Step 5:

[0379] The server runs an SQL query to retrieve past sales data from the database based on the sales information. This query is based on the provided agent name and sales date. For example:

[0380] sql

[0381] SELECT FROM Negotiation History WHERE Agency Name = 'Agency A' AND Negotiation Date = '2023-12-01';

[0382] The search results are retrieved.

[0383] Step 6:

[0384] The server runs an SQL query to extract success stories related to the product name from the database. This query is based on the product name entered. For example:

[0385] sql

[0386] SELECT FROM Success Stories WHERE Product Name = 'Product X';

[0387] The extraction results are obtained.

[0388] Step 7:

[0389] The server analyzes the received emotion data and recognizes the user's current emotional state (positive or negative). The emotion engine uses voice analysis, facial recognition, or text analysis.

[0390] Step 8:

[0391] The server generates a recommended agenda based on past business negotiation data and success story data. The content of the agenda changes dynamically, taking into account the user's emotional state. For example, if the user is positive, the server generates an agenda with more positive suggestions.

[0392] Step 9:

[0393] The server generates a link to a document of a success story related to the product. For example, it creates a link to "Product X success story ppt."

[0394] Step 10:

[0395] The server assembles the generated recommended agenda and related materials into a package, which is structured in JSON or XML format.

[0396] Step 11:

[0397] The server transmits the packaged business meeting agenda and related materials to the terminal, also using the HTTPS protocol.

[0398] Step 12:

[0399] The terminal receives the package sent from the server and stores it in memory or temporary storage.

[0400] Step 13:

[0401] The terminal displays the received business meeting agenda and related materials on a user interface, allowing the user to check the recommended agenda and related materials and use them as business meeting materials.

[0402] In this way, the system of the present invention significantly improves the efficiency of business negotiation preparation and provides personalized materials that take into account the user's emotions, thereby realizing effective business negotiations.

[0403] Example 2

[0404] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0405] Conventional transaction support systems provide a function where users input the information necessary for negotiations and generate transaction agendas and related materials based on past transaction data and success stories. However, these systems cannot take the user's emotions into consideration, making it difficult to generate personalized transaction agendas and materials that reflect the user's emotions. Furthermore, if the generated agendas and materials do not match the user's current state of mind or transaction situation, the effectiveness of the negotiations may be reduced.

[0406] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for a user to input information about a transaction, a means for transmitting the input information to the server, a means for searching a database for past transaction data and success stories, a means for generating a recommended transaction agenda and related materials based on the search results, a means for recognizing the user's emotions and adjusting the transaction agenda and materials based on the emotions, a means for transmitting the generated agenda and materials to the user terminal, and a means for displaying the agenda and materials transmitted to the terminal to the user. This makes it possible to generate a personalized transaction agenda and materials that take the user's emotions into consideration, thereby increasing the success rate of business negotiations.

[0407] A "user" is an entity that uses the system to input transaction information.

[0408] A "transaction" is a series of business activities, including business negotiations, commercial negotiations, and sales activities.

[0409] "Information" refers to the data and knowledge necessary for a transaction, including agent information, transaction date and time, product name, etc.

[0410] A "means" is a method, device, or component of a system for achieving a specific purpose.

[0411] An "input means" is a device or method (e.g., keyboard, mouse, voice input device) that a user uses to provide information to a system.

[0412] "Transmission means" refers to a communication method or device (e.g., the Internet, wireless communication) for transmitting input information to the server.

[0413] A "server" is a computer system that stores, processes, and analyzes data.

[0414] A "database" is an information system for systematically storing and managing large amounts of data.

[0415] A "search tool" is software or algorithm used to find specific information in a database.

[0416] A "deal agenda" is the content or topics of discussion to be discussed in a business negotiation or transaction.

[0417] "Related Materials" means supporting information or documents (e.g., presentation slides, data sheets) related to the transaction agenda.

[0418] "Emotion recognition means" refers to technology (e.g., voice analysis, face recognition system) for analyzing a user's emotions and determining their emotional state.

[0419] "Packaging" is the process of combining multiple agenda items or materials into one.

[0420] A "user terminal" is a device such as a computer or smartphone that is directly operated by a user.

[0421] "Display means" refers to the method or technology (e.g., display, monitor) for visually presenting the agenda and materials to the user terminal.

[0422] This invention relates to a system that enables more effective business negotiations by streamlining the creation of business negotiation materials and combining it with an emotion engine that recognizes the user's emotions. This system not only automatically generates optimal business agendas and related materials and provides them to the user simply by the user inputting the information necessary for the transaction, but also adjusts the content of the materials taking the user's emotional state into consideration.

[0423] 1. Data Entry

[0424] The user inputs transaction information using a terminal. Specifically, the user inputs information such as the agent's name, transaction date, and product name. The user can also input their emotional state using a microphone or camera. This allows the system to grasp the user's current emotional state.

[0425] 2. Data Transmission

[0426] The terminal collects transaction information and sentiment information entered by the user and sends it to the server as structured data (e.g., JSON format). The data is appropriately protected using secure transmission protocols such as HTTP or HTTPS.

[0427] 3. Data analysis and proposal generation

[0428] The server analyzes the received transaction information and sentiment information and processes the data in the following steps:

[0429] Search historical data:

[0430] The server searches the database for past transaction data related to the entered agent name and transaction date.

[0431] Success stories extracted:

[0432] The server extracts past success stories related to the input product name from a database.

[0433] User Emotion Recognition:

[0434] The server analyzes the received emotional information and recognizes the user's current emotional state using voice analysis, face recognition, and text analysis.

[0435] Generate a suggested agenda:

[0436] The server generates a recommended trading agenda based on the acquired past trading data and success stories, as well as the user's emotional state. For example, if the user is in a positive emotional state, the server generates an agenda including positive suggestions.

[0437] Generate related materials:

[0438] The server generates success stories and other supporting materials related to the product and associates them with the transaction agenda.

[0439] Packaging the agenda and materials:

[0440] The server assembles the generated business agenda and related materials into a package.

[0441] 4. Sending and displaying results

[0442] The server sends the generated transaction agenda and related materials package to the user's terminal, which displays the transaction agenda and related materials sent from the server on its user interface. This allows the user to easily check the optimal transaction agenda and related materials and use them in business negotiations.

[0443] Specific examples

[0444] For example, if a user enters the following information:

[0445] "Agency name: Agent A, Transaction date: December 1, 2023, Product name: Product X, Emotional state: Positive"

[0446] Based on this data, the device sends the information to the server, which generates the following recommended agenda and related materials:

[0447] "Suggested Agenda:

[0448] 1. Product introduction (including proactive proposals)

[0449] 2. Competitive Comparison

[0450] 3. Implementation support

[0451] 4. Q&A session

[0452] Related resources:

[0453] Product X success story ppt (link)

[0454] This is sent to the terminal, which displays it on the user interface.

[0455] Example prompt sentence:

[0456] "Generate a sales agenda and materials. Agency name: Agency A, Transaction execution date: December 1, 2023, Product name: Product X, Sentiment state: Positive"

[0457] This system enables the generation of personalized deal agendas and materials that take into account the user's emotions, thereby increasing the success rate of business negotiations.

[0458] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0459] Step 1: User Enters Information

[0460] The user uses the terminal to input information about the transaction. Specifically, the user inputs information such as the agent's name, transaction date, and product name using a keyboard or touch screen. The user also uses a microphone and camera to input their emotional state (e.g., positive or negative) as audio or video data.

[0461] Input: Information including agent name, transaction date, product name, and emotional state

[0462] Output: Input information is saved on the device

[0463] Step 2: The device sends the data to the server

[0464] The device sends the information entered in step 1 to the server as structured data in JSON format or similar. The secure HTTP or HTTPS protocol is used for communication.

[0465] Input: User-supplied structured data in JSON format

[0466] Output: Data is sent to the server

[0467] Step 3: The server receives and parses the data

[0468] The server receives the data sent from the device. This data includes the agent name, transaction date, product name, and emotional state. Based on this, the server analyzes the necessary information and processes each data element separately.

[0469] Input: Structured data sent from the terminal

[0470] Output: Parsed data elements (agency name, transaction date, product name, emotional state)

[0471] Step 4: The server searches for historical data

[0472] The server searches the database for relevant past transaction data based on the agent name and transaction date, for example, extracting past transaction history with the same agent or transaction data close to the specified transaction date.

[0473] Input: Parsed agency name, transaction execution date

[0474] Output: Relevant historical transaction data

[0475] Step 5: The server extracts success stories

[0476] The server retrieves success stories related to the product name from the database, and extracts key points for successful transactions based on past success stories and track records of the product.

[0477] Input: Entered product name

[0478] Output: Product-related success story data

[0479] Step 6: The server recognizes the user's emotion

[0480] The server uses technologies such as voice analysis, facial recognition, and text analysis to recognize the user's current emotional state, and reflects this in subsequent data processing based on the recognized emotional state (e.g., positive, negative).

[0481] Input: Audio and video data showing emotional state

[0482] Output: Recognized emotional state of the user

[0483] Step 7: The server generates a recommended agenda

[0484] The server generates recommended trading agendas based on past trading data, success story data, and the user's emotional state. For example, if the user is in a positive emotional state, it generates an agenda including positive suggestions.

[0485] Inputs: Past trading data, success stories, emotional state

[0486] Output: Recommended trading agenda

[0487] Step 8: The server generates the relevant materials

[0488] The server generates relevant success stories and other supporting materials for the product and associates them with the recommended deal agenda, including presentation slides, data sheets, etc.

[0489] Input: Success story data, transaction agenda

[0490] Output: Related materials

[0491] Step 9: The server packages the agenda and materials

[0492] The server generates a package of the transaction agenda and related materials, which may be in PDF or multimedia file format.

[0493] Input: Transaction agenda, related documents

[0494] Output: Packaged data

[0495] Step 10: The server sends the results to the device

[0496] The server transmits the packaged transaction agenda and related materials to the terminal using the secure HTTP or HTTPS protocol.

[0497] Input: Packaged data

[0498] Output: Data is sent to the terminal

[0499] Step 11: The terminal displays the results

[0500] The terminal displays the transaction agenda and related materials sent from the server on the user interface, allowing the user to easily check the most suitable transaction agenda and related materials and use them in business negotiations.

[0501] Input: Submitted transaction agenda and related materials

[0502] Output: Data displayed in the user interface

[0503] (Application example 2)

[0504] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0505] In conventional sales document creation systems, sales documents and proposals are generic and do not adequately personalize based on the emotional state of each individual user. As a result, effective sales negotiations are often not possible, and improving the success rate of sales negotiations is an issue.

[0506] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0507] In this invention, the server includes means for a user to input information about a business negotiation, means for transmitting the input information and the user's emotional information to the server, means for searching a database for past business negotiation data and success stories, means for generating a recommended business negotiation agenda and related materials based on the search results and the emotional information, means for transmitting the generated agenda and materials to the user's terminal, means for displaying the agenda and materials transmitted to the terminal to the user, and means for analyzing the user's emotional state in real time and dynamically adjusting the content of proposals during the business negotiation. This makes it possible to provide an optimal business negotiation agenda and materials in real time that take the user's emotional state into consideration.

[0508] "Means for users to input information related to business negotiations" refers to an interface or device that allows users to input information related to business negotiations.

[0509] "Means for transmitting input information and user emotion information to the server" refers to communication means for transmitting negotiation information and emotion information input by the user to the server.

[0510] "Means for searching a database for past business negotiation data and success stories" refers to an algorithm or program for searching a database for past business negotiation data and success stories stored on a server.

[0511] "Means for generating recommended business meeting agendas and related materials based on search results and emotional information" refers to a system or program for generating optimal business meeting agendas and related materials based on search results of past data and user emotional information.

[0512] The "means for transmitting the generated agenda and materials to the user terminal" refers to a communication means for transmitting the generated business meeting agenda and related materials to the user terminal.

[0513] "Means for displaying to the user the agenda and materials transmitted to the terminal" refers to an interface or device for displaying the business meeting agenda and related materials transmitted to the user's terminal.

[0514] "Means for analyzing a user's emotional state in real time and dynamically adjusting proposal content during business negotiations" refers to a system or program that analyzes a user's emotional state in real time during business negotiations and dynamically changes the proposal content based on the results.

[0515] The present invention describes a system that analyzes user emotions in real time during business negotiations in a physical store and dynamically adjusts the content of the business negotiations. Specific implementation methods for this system are described below.

[0516] Basic configuration

[0517] The system consists of the following main means and devices:

[0518] 1. User Device

[0519] Smartphone

[0520] Smart Glasses

[0521] head-mounted display

[0522] 2. Server

[0523] Data analysis server

[0524] Emotion Recognition Engine

[0525] Agenda Generation Module

[0526] 3. Means of communication

[0527] Secure communication protocol using HTTP or HTTPS

[0528] System operation explanation

[0529] 1. User enters information about the opportunity

[0530] Users input information necessary for business negotiations using smartphones or smart glasses. The input information includes company information, product names, etc. Microphones and cameras are also used to capture emotional information from voice and facial expressions.

[0531] 2. Send the input information and user's emotional information to the server

[0532] The terminal collects the entered business negotiation information and emotional information and sends it to the server in a structured data format such as JSON.

[0533] 3. Data analysis and proposal generation by the server

[0534] The server performs the following processing based on the received business negotiation information and emotion information:

[0535] Database search: Search past sales negotiation data and success stories using company information and product names as criteria.

[0536] Emotion Recognition: Analyze user emotions in real time using voice, facial, and text analysis.

[0537] Recommended Agenda Generation: Generates the most appropriate meeting agenda based on sentiment and historical data. A positive sentiment generates an agenda with proactive suggestions, while a negative sentiment generates an agenda focused on support.

[0538] 4. Send the generated sales agenda and related materials

[0539] The server packages the generated business meeting agenda and related materials and sends them to the user's device using secure HTTP or HTTPS protocols.

[0540] 5. Display the agenda and materials sent to the device to the user

[0541] The business meeting agenda and related materials sent to the user terminal are displayed to the user through a dedicated application.

[0542] Examples and prompts

[0543] As a concrete example, consider a scenario in which a user inputs the following information and their emotional state is analyzed:

[0544] Company Name: Client A

[0545] Negotiation date: December 1, 2023

[0546] Product name: Product X

[0547] Emotional state: Positive

[0548] An example prompt for this scenario is:

[0549] Company Name: Client A

[0550] Negotiation date: December 1, 2023

[0551] Product name: Product X

[0552] Emotional state: Positive

[0553] This allows the server to generate a business meeting agenda and related materials, and provide optimal proposals to users in real time.By taking into account the user's emotional state, this system is expected to increase the success rate of business meetings.

[0554] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0555] Step 1:

[0556] User enters information about the opportunity

[0557] The user uses a device such as a smartphone or smart glasses to input basic information about the business negotiation (e.g., company name, negotiation date, product name, etc.). In addition, a microphone and a camera are used to capture voice data and facial expression data, which in turn captures emotional information.

[0558] Input: Company name, business negotiation date, product name, voice data, facial expression data

[0559] Output: Negotiation information (company name, negotiation date, product name), sentiment information

[0560] Specific operation: The user enters text information into an input form on the device, and captures voice and facial expressions using the device's microphone and camera.

[0561] Step 2:

[0562] The input information and the user's emotional information are sent to the server.

[0563] The terminal converts the business negotiation information entered by the user and the acquired emotional information into JSON format data and sends it to the server via the secure HTTP or HTTPS protocol.

[0564] Input: Negotiation information, sentiment information

[0565] Output: Send data to the server

[0566] Specific operation: The device converts the text input and captured voice and facial expression data into JSON format and sends it to the server endpoint using HTTPS.

[0567] Step 3:

[0568] Data analysis and proposal generation by the server

[0569] The server searches a database for past negotiation data and success stories based on the received negotiation information and emotional information. It then uses voice analysis, facial recognition, and text analysis to recognize the user's emotional state. Based on this, it generates an optimal negotiation agenda and related materials.

[0570] Input: Negotiation information, sentiment information

[0571] Output: Recommended agenda, related materials

[0572] Specific operation: The server executes an SQL query based on the business meeting information to retrieve related past data from the database, and performs sentiment analysis using the generative AI model. Based on the analysis results and past data, the business meeting agenda generation module generates the optimal agenda.

[0573] Step 4:

[0574] Send generated deal agendas and related materials

[0575] The server packages the generated business meeting agenda and related materials in an appropriate format and transmits them to the user's terminal using a secure communication protocol.

[0576] Input: Recommended agenda, related materials

[0577] Output: Data sent to the user's terminal

[0578] Specific operation: The server packages the recommended agenda and related materials in JSON format and sends it to the user's device using the HTTPS protocol.

[0579] Step 5:

[0580] Displaying the agenda and materials sent to the device to the user

[0581] The user terminal displays the received business meeting agenda and related materials in a dedicated application, and the user can proceed with the business meeting while looking at this.

[0582] Input: Data sent from the server (recommended agenda, related materials)

[0583] Output: Agenda and materials displayed on the user's screen

[0584] Specific operation: The terminal analyzes the received data and displays the business meeting agenda and related materials on the user interface of a dedicated application.

[0585] Step 6:

[0586] Analyzing the user's emotional state in real time and dynamically adjusting proposals during sales negotiations

[0587] The server analyzes the user's emotional state in real time during the negotiation and dynamically adjusts the proposal accordingly. To achieve this, the server utilizes an emotion recognition engine and transmits emotional information to the server as needed.

[0588] Input: Real-time emotional information (voice data, facial expression data)

[0589] Output: Updated opportunity agenda and proposal

[0590] Specific operation: During a sales meeting, the device continuously captures voice and facial expressions using a microphone and camera, and sends the captured images to the server. The server's emotion recognition engine analyzes the captured images and provides feedback to the sales meeting agenda generation module, dynamically adjusting the proposal content.

[0591] The above are the specific processing steps of the system that realizes the application example.

[0592] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0593] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0594] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0595] [Second embodiment]

[0596] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0597] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0598] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0599] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0600] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0601] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0602] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0603] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0604] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0605] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0606] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0607] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0608] The present invention relates to a system for improving the efficiency of creating business negotiation materials. This system automatically generates optimal business negotiation agendas and related materials and provides them to users simply by inputting the information required for business negotiations.

[0609] 1. Data Entry

[0610] The user uses the terminal to enter information about the business deal, specifically the following information:

[0611] Agency name

[0612] Negotiation date

[0613] Product name

[0614] 2. Data Transmission

[0615] The terminal collects the business negotiation information entered by the user and sends it to the server in a structured data format such as JSON.

[0616] 3. Data analysis and proposal generation

[0617] The server receives the business negotiation information sent from the device. Based on the received information, it performs data analysis and generates proposals in the following steps:

[0618] 1. Searching historical data:

[0619] The server searches the database for past negotiation data related to the entered agency name and negotiation date, and obtains the past negotiation history through this search.

[0620] 2. Extraction of success stories:

[0621] The server extracts past success stories related to the input product name from the database, thereby obtaining success story data related to the product.

[0622] 3. Generate a recommended agenda:

[0623] The server generates a recommended sales meeting agenda based on the acquired past sales meeting data and success stories, such as product introduction, competitor comparison, implementation support, and Q&A session.

[0624] 4. Generate related materials:

[0625] The server generates success stories and other supporting materials related to the product and associates them with the sales agenda.

[0626] 5. Packaging the agenda and materials:

[0627] The server assembles the generated business meeting agenda and related materials into a single package.

[0628] 4. Sending and displaying results

[0629] The server packages the generated business meeting agenda and related materials and transmits the package to the terminal, which includes recommended agenda items and links and files of related materials.

[0630] The terminal receives the business meeting agenda and related materials package sent from the server and displays them on the user interface, allowing the user to easily check the most suitable business meeting agenda and related materials.

[0631] Specific examples

[0632] For example, if a user enters an agent named "Agency A," a sales negotiation date of "December 1, 2023," and a product name of "Product X," the system will perform the following process:

[0633] 1. User enters:

[0634] Agency name: Agency A

[0635] Negotiation date: December 1, 2023

[0636] Product Name: Product X

[0637] 2. The device sends the data to the server.

[0638] 3. The server searches historical data and best practices to generate the following recommended agenda and materials:

[0639] Suggested agenda:

[0640] 1. Product introduction

[0641] 2. Competitive Comparison

[0642] 3. Implementation support

[0643] 4. Q&A session

[0644] Related resources:

[0645] Product X success story ppt (link)

[0646] 4. The server sends the results to the device.

[0647] 5. The terminal displays the results to the user, who uses them as materials for business negotiations.

[0648] In this way, the present invention improves the efficiency of creating business negotiation materials, and enables users to easily prepare optimal business negotiation materials.

[0649] The processing flow will be explained below.

[0650] Step 1:

[0651] The user uses the terminal to input business negotiation information, including the agent name, the business negotiation date, and the product name. The input information is accepted through a specific input form or application.

[0652] Step 2:

[0653] The terminal collects the business negotiation information entered by the user and converts the data into an appropriate format (e.g., JSON format), which is then prepared to be sent to the server.

[0654] Step 3:

[0655] The device sends well-formed data to the server, typically using a standard communications protocol such as HTTP or HTTPS.

[0656] Step 4:

[0657] The server receives the business negotiation information sent from the terminal, and the received data is stored in the server's memory or temporary storage.

[0658] Step 5:

[0659] The server searches the database for past negotiation data based on the negotiation information. This search is performed using the entered agent name and negotiation date as conditions. The search query is executed against the database and the results are retrieved.

[0660] Step 6:

[0661] The server extracts success stories related to the product name from the database. This extraction is also performed based on conditions. For example, success stories related to the product name "Product X" are searched for.

[0662] Step 7:

[0663] The server generates a recommended agenda based on the acquired sales negotiation data and success stories. The generated agenda includes items such as product introductions, competitor comparisons, implementation support, and Q&A sessions. These items are generated based on pre-set templates.

[0664] Step 8:

[0665] The server generates a link to a success story related to the product, for example, a link to a success story ppt for product X.

[0666] Step 9:

[0667] The server compiles the generated recommended agenda and related materials into a single package, which is organized in a structured format such as JSON or XML.

[0668] Step 10:

[0669] The server sends the packaged business agenda and related materials to the terminal, again using HTTP or HTTPS protocol.

[0670] Step 11:

[0671] The device receives the package sent from the server, and the received data is stored in the device's memory or temporary storage.

[0672] Step 12:

[0673] The terminal displays the received business meeting agenda and related materials on a user interface, allowing the user to easily check the recommended agenda and related materials.

[0674] In this way, the system of the present invention significantly improves the efficiency of business negotiation preparation and quickly provides users with materials that allow them to conduct effective business negotiations.

[0675] Example 1

[0676] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0677] Creating sales meeting materials requires a great deal of time and effort. In particular, generating recommended agendas and related materials based on past sales meeting data and success stories is time-consuming and hinders efficient sales meeting preparation. There is a need for a system that can solve this problem and enable users to quickly and easily create optimal sales meeting materials.

[0678] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0679] In this invention, the server includes means for a user to input information about a business negotiation, means for transmitting the input information to the server, means for searching a database for past business negotiation data and success stories, means for generating a recommended business negotiation agenda and related materials based on the search results, means for transmitting the generated agenda and materials to the user's terminal, and means for displaying the agenda and materials transmitted to the terminal to the user. This allows a user to simply input the necessary business negotiation information and automatically obtain the optimal business negotiation agenda and related materials, significantly improving the efficiency of business negotiation preparation.

[0680] "Means for users to input information related to business negotiations" refers to hardware or software that provides an interface for users to input information related to business negotiations (e.g., agency name, business negotiation date, product name, etc.).

[0681] "Means for transmitting input information to a server" refers to hardware or software that provides the functionality to convert the business negotiation information input by the user into a data format (e.g., JSON format) and transmit it to a server via the Internet or other communication means.

[0682] "Means for searching past business negotiation data and success stories from a database" refers to hardware or software that provides the functionality for a server to search past business negotiation data and success stories stored in a database based on specific conditions (e.g., agency name or product name) and obtain the required data.

[0683] "Means for generating recommended meeting agendas and related materials based on search results" refers to hardware or software that provides the functionality to automatically generate recommended meeting agendas and related materials (e.g., presentation materials, PDF files, etc.) based on acquired past meeting data and success stories.

[0684] "Means for transmitting the generated agenda and materials to the user terminal" refers to hardware or software that provides the functionality to package the business meeting agenda and related materials generated on the server and transmit them to the terminal used by the user.

[0685] "Means for displaying to the user the agenda and materials sent to the terminal" refers to hardware or software that provides the functionality for the user terminal to display the business meeting agenda and related materials received from the server in a form that can be visually confirmed by the user.

[0686] "Means for searching based on agency information and product name" refers to hardware or software that provides the functionality for the server to search past sales negotiation data and success stories in the database based on the agency name and product name entered, and to retrieve the relevant data.

[0687] "Means for packaging the generated recommended agenda and related materials and transmitting them from the server to the terminal" refers to hardware or software that provides the functionality to compile the business meeting agenda and related materials generated by the server into a single file or data package (e.g., a ZIP file) and transmit it to the user's terminal.

[0688] MODE FOR CARRYING OUT THE INVENTION

[0689] The present invention relates to a system for improving the efficiency of creating business negotiation materials. This system automatically generates optimal business negotiation agendas and related materials and provides them to the user simply by inputting the information required for the business negotiation. Specific embodiments of this system are described below.

[0690] 1. Data Entry

[0691] The user inputs business negotiation information through a terminal interface. This input interface is often implemented as a web application or mobile application. The user inputs, for example, the name of the agency, the date of the business negotiation, and the name of the product.

[0692] 2. Data Transmission

[0693] The device converts the information entered by the user into JSON format data and sends it to the server using standard protocols such as HTTP or HTTPS. At this stage, the device notifies the user that the transmission was successful.

[0694] 3. Data analysis and proposal generation

[0695] The server receives and parses the JSON data sent from the device. The server runs a backend implemented in Python, Node.js, etc., which performs the following processes:

[0696] 1. Searching historical data:

[0697] The server searches a database for past sales negotiation data related to the agent name and the sales negotiation date, which is often a relational database such as MySQL or PostgreSQL.

[0698] 2. Extraction of success stories:

[0699] The server extracts success stories related to the product name from the database. The success stories may be saved in formats such as Excel files or presentation materials.

[0700] 3. Generate a recommended agenda:

[0701] The server generates a recommended meeting agenda based on past meeting data and success stories, using a generative AI model to determine agenda items such as product introductions, competitor comparisons, implementation support, and Q&A sessions.

[0702] 4. Generate related materials:

[0703] The server generates success stories and other supporting materials related to the product and associates them with the sales agenda.

[0704] 5. Packaging the agenda and materials:

[0705] The server assembles the generated business meeting agenda and related materials into a package (eg, a ZIP file).

[0706] 4. Sending and displaying results

[0707] The server sends the generated package of business meeting agenda and related materials to the terminal, which displays the received content on the user interface. The user can check the displayed agenda and related materials.

[0708] Specific examples

[0709] For example, if a user enters "Agency A," "December 1, 2023," and "Product X," the system will do the following:

[0710] 1. User enters information:

[0711] Agency name: Agency A

[0712] Negotiation date: December 1, 2023

[0713] Product Name: Product X

[0714] 2. The device sends the data to the server.

[0715] 3. The server generates the following recommended agenda and materials:

[0716] Suggested agenda:

[0717] 1. Product introduction

[0718] 2. Competitive Comparison

[0719] 3. Implementation support

[0720] 4. Q&A session

[0721] Related resources:

[0722] Product X success story ppt (link)

[0723] 4. The server sends the results to the device.

[0724] 5. The terminal displays the results to the user, who uses them as materials for business negotiations.

[0725] Prompt Sentence Examples

[0726] Examples of prompts that the system can use to input the generative AI model are:

[0727] Generate a program for a sales meeting materials creation system. This system automatically generates the optimal sales meeting agenda and related materials based on the sales meeting information entered by the user. Sales meeting information includes the agency name, sales meeting date, and product name. Related materials include a link to a success story PowerPoint.

[0728] In this way, the present invention is a system that improves the efficiency of creating business negotiation materials and enables users to easily prepare optimal business negotiation materials.

[0729] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0730] Step 1:

[0731] The user enters the business negotiation information. The user enters the "agency name," "business negotiation date," and "product name" on the terminal interface. For example, the information entered is as follows:

[0732] Agency name: Agency A

[0733] Negotiation date: December 1, 2023

[0734] Product Name: Product X

[0735] The entered information is sent to the terminal.

[0736] Step 2:

[0737] The terminal sends data to the server. The terminal converts the information entered by the user into JSON format and sends it to the server via HTTP or HTTPS protocol. The data sent is in the following format:

[0738] json

[0739] {

[0740] "Agency Name": "Agency A",

[0741] "Negotiation date": "December 1, 2023",

[0742] "Product Name": "Product X"

[0743] }

[0744] The terminal confirms the completion of the transmission and displays a success message to the user.

[0745] Step 3:

[0746] The server receives and analyzes the data. The server parses the received JSON data and prepares to search the database for past sales negotiation data and success stories.

[0747] Step 4:

[0748] The server searches for past data. To retrieve past sales negotiation data, the server issues a search query to the database using the agent name "Agency A" and the sales negotiation date "December 1, 2023". For example, the retrieved data is in the following format:

[0749] json

[0750] {

[0751] "Opportunity ID": 123,

[0752] "Business details": "Emphasis on implementation support and Q&A sessions"

[0753] }

[0754] Step 5:

[0755] The server extracts success stories. The server extracts success stories from the database using the product name "Product X" as a condition. For example, the following success story data is obtained:

[0756] json

[0757] {

[0758] "Success case ID": 456,

[0759] "Key points for success": "Competitive comparison and implementation support were the deciding factors"

[0760] }

[0761] Step 6:

[0762] The server generates a recommended agenda. The server generates a recommended meeting agenda based on past meeting data and success stories. This process uses a generative AI model, and an agenda like the one below is generated:

[0763] Suggested agenda:

[0764] 1. Product introduction

[0765] 2. Competitive Comparison

[0766] 3. Implementation support

[0767] 4. Q&A session

[0768] Step 7:

[0769] The server generates related materials. The server generates success stories and supporting materials related to the product and associates them with the sales meeting agenda. Specifically, a ppt file link related to the success story of product X is generated:

[0770] Related resources:

[0771] Product X success story ppt (link)

[0772] Step 8:

[0773] The server packages the agenda and documents. The generated business meeting agenda and related documents are packaged together as a single package (e.g., a ZIP file).

[0774] Step 9:

[0775] The server sends the package to the terminal. The server sends the generated package of the business meeting agenda and related materials to the terminal. The specific contents sent are as follows:

[0776] Package Includes:

[0777] Recommended Agenda (text or HTML format)

[0778] Related links and files

[0779] Step 10:

[0780] The terminal displays the results to the user. The terminal displays the agenda and materials received from the server on the user interface. The user can check the displayed agenda and related materials and use them as business negotiation materials.

[0781] (Application example 1)

[0782] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0783] Conventional sales document creation systems have the problem of making it difficult to efficiently prepare for sales meetings while on the move. In particular, there is a lack of safe ways to check and edit documents in autonomous vehicles, and they are unable to provide adequate support for sales representatives to efficiently prepare sales documents. It is necessary to solve this problem and significantly improve the efficiency of sales meeting preparation.

[0784] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0785] In this invention, the server includes a means for a user to input information about a business negotiation, a means for transmitting the input information to the server, a means for searching a database for past business negotiation data and success stories, and a means for displaying and editing the generated agenda and materials on the dashboard or head-up display of the autonomous vehicle, thereby enabling the user to efficiently check and edit business negotiation materials even while traveling to the business negotiation.

[0786] The "means by which the user inputs information related to the business negotiation" refers to a device or interface that allows the user to input information necessary for the business negotiation, such as agency information, the date of the business negotiation, and the name of the product.

[0787] The "means for transmitting input information to a server" refers to a function or protocol for transmitting the business negotiation information input by the user to a server via a network.

[0788] The "means for searching a database for past business negotiation data and success stories" refers to an algorithm or system for quickly searching a database for past business negotiation data and success stories based on input business negotiation information.

[0789] The "means for generating recommended business meeting agendas and related materials based on search results" is software for analyzing the searched data and automatically generating optimal business meeting agendas and related materials.

[0790] The "means for transmitting the generated agenda and materials to the user terminal" refers to a communication function or protocol for transmitting the generated business negotiation agenda and related materials to the user terminal.

[0791] The "means for displaying to the user the agenda and materials transmitted to the terminal" refers to software or an interface for visually displaying the business meeting agenda and related materials on the user terminal.

[0792] "Means for displaying and editing business documents on the dashboard or head-up display of an autonomous vehicle while traveling to a business meeting" refers to functions and tools for displaying and editing business documents via the dashboard or head-up display in an autonomous vehicle while traveling to a business meeting.

[0793] MODE FOR CARRYING OUT THE INVENTION

[0794] System Overview

[0795] This invention relates to a sales negotiation material creation support system that is installed on the dashboard or head-up display of an autonomous vehicle. The system automatically generates optimal sales negotiation agendas and related materials and provides them to the user simply by inputting information about the sales negotiation.

[0796] Hardware and software used

[0797] The system uses the following hardware and software:

[0798] 1. Frontend:

[0799] Autonomous vehicle dashboard or head-up display (HUD)

[0800] Front-end UI: HTML / CSS / JavaScript

[0801] 2. Backend:

[0802] Server: Any cloud server (e.g. AWS, Google Cloud)

[0803] Application framework: Flask or Django (Python)

[0804] Database: PostgreSQL or MySQL

[0805] 3. Communication:

[0806] Send and receive data using REST API

[0807] Data format: JSON

[0808] Explanation of program processing

[0809] The main parts of the system and their specific processing will be described below.

[0810] 1. User data input

[0811] The user uses the terminal (dashboard or HUD of the autonomous vehicle) to input information about the deal, such as the agency name, deal date, product name, etc. This data is collected through the front-end UI in the following format:

[0812] Agency name

[0813] Negotiation date

[0814] Product name

[0815] 2. Data Transmission

[0816] The input data is sent to the server as structured data (JSON format). The server receives the data and stores it in a database.

[0817] 3. Data analysis and document generation

[0818] The server does the following:

[0819] 1. Search for historical data:

[0820] Past business negotiation data related to the entered agency name and business negotiation date is searched from the database.

[0821] 2. Extraction of success stories:

[0822] Past success stories related to the entered product name are extracted from the database.

[0823] 3. Generate a recommended agenda:

[0824] Generate recommended meeting agendas based on past meeting data and success stories (e.g., product introductions, competitive comparisons, implementation support, Q&A sessions).

[0825] 4. Generate related materials:

[0826] Generate success stories and other supporting materials related to the product and associate them with the sales agenda.

[0827] 4. Data transmission and display

[0828] The server compiles the generated business meeting agenda and related materials into a single package and sends it back to the terminal in JSON format. The terminal analyzes the received data and displays the business meeting materials on a dashboard or HUD.

[0829] Specific examples

[0830] Usage example

[0831] 1. A user (salesperson) enters the following sales information from the dashboard inside the autonomous vehicle:

[0832] Agency name: Agency A

[0833] Negotiation date: December 1, 2023

[0834] Product Name: Product X

[0835] 2. This data is sent to the server, and the sales negotiation materials are generated.

[0836] 3. The server generates the following recommended agenda and related materials:

[0837] Suggested agenda:

[0838] 1. Product introduction

[0839] 2. Competitive Comparison

[0840] 3. Implementation support

[0841] 4. Q&A session

[0842] Related resources:

[0843] Product X success story ppt (link)

[0844] 4. The generated materials are displayed on the dashboard or HUD of the autonomous vehicle for the user to review.

[0845] Prompt Sentence Examples

[0846] To generate a sales document, please provide the following information:

[0847] Please enter the agency name, the date of the negotiation, and the product name.

[0848] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0849] Step 1:

[0850] The user uses a terminal (dashboard or head-up display of the autonomous vehicle) to input information about the deal, such as the agency name, the deal date, and the product name. The input data is prepared as structured JSON data through the user interface. The input data includes the following items:

[0851] Agency name

[0852] Negotiation date

[0853] Product name

[0854] Step 2:

[0855] The terminal sends the entered data to the server using an HTTP POST request, and the data is sent to the server in JSON format, which the server receives and stores in a database.

[0856] Input: Opportunity information in JSON format

[0857] Output: Notification of completion of data transmission to the server

[0858] Step 3:

[0859] The server searches the database for related past sales negotiation data and success stories. The server searches for past sales negotiation data based on the input agency name and sales negotiation date. The server also extracts success stories related to the input product name from the database.

[0860] Input: Opportunity data and success story search criteria from the database

[0861] Output: Search results and historical data and success stories

[0862] Step 4:

[0863] The server generates a recommended sales meeting agenda and related materials based on the searched data. Specifically, it analyzes past sales meeting data and success stories to generate a sales meeting agenda that includes product introductions, competitive comparisons, implementation support, and Q&A sessions. Related materials (e.g., success story presentations) are also created.

[0864] Input: Historical data and success stories as search results

[0865] Output: Suggested agenda and related materials

[0866] Step 5:

[0867] The server compiles the generated business meeting agenda and related materials into a single package and sends it to the terminal in JSON format. Data is sent from the server using an HTTP POST request.

[0868] Input: Suggested agenda and related materials

[0869] Output: Notification of completion of data transmission to the terminal

[0870] Step 6:

[0871] The device analyzes the received meeting agenda and related documents and displays them to the user, providing visual information through a dashboard or head-up display, allowing the user to review and edit the meeting documents.

[0872] Input: Suggested agenda and related materials from the server

[0873] Output: Display in the user interface

[0874] Specific examples

[0875] For example, if a user (salesperson) enters the following sales information on the dashboard of an autonomous vehicle:

[0876] Agency name: Agency A

[0877] Negotiation date: December 1, 2023

[0878] Product Name: Product X

[0879] This data is sent to a server, which searches past deal data and success stories to generate a recommended agenda and related materials, such as:

[0880] Suggested agenda:

[0881] 1. Product introduction

[0882] 2. Competitive Comparison

[0883] 3. Implementation support

[0884] 4. Q&A session

[0885] Related resources:

[0886] Product X success story ppt (link)

[0887] The generated materials are displayed on the dashboard or head-up display of the autonomous vehicle, where they can be viewed and edited by the user.

[0888] Prompt Sentence Examples

[0889] To generate a sales document, please provide the following information:

[0890] Please enter the agency name, the date of the negotiation, and the product name.

[0891] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0892] This invention relates to a system that can conduct more effective business negotiations by improving the efficiency of creating business negotiation materials and combining it with an emotion engine that recognizes the user's emotions. This system not only automatically generates and provides the optimal business negotiation agenda and related materials to the user simply by the user inputting the information necessary for the business negotiation, but also adjusts the content of the materials taking the user's emotions into consideration.

[0893] 1. Data Entry

[0894] The user uses the terminal to input information about the business deal, including the following:

[0895] Agency name

[0896] Negotiation date

[0897] Product name

[0898] Users can also communicate their emotions using a microphone, camera, etc.

[0899] 2. Data Transmission

[0900] The device collects the sales negotiation information and emotion information entered by the user and sends it to the server in a structured data format such as JSON.

[0901] 3. Data analysis and proposal generation

[0902] The server receives the business negotiation information and emotion information sent from the device. Based on the received information, it performs data analysis and generates proposals in the following steps:

[0903] 1. Searching historical data:

[0904] The server searches the database for past negotiation data related to the entered agency name and negotiation date, and obtains the past negotiation history through this search.

[0905] 2. Extraction of success stories:

[0906] The server extracts past success stories related to the input product name from the database, thereby obtaining success story data related to the product.

[0907] 3. User Emotion Recognition:

[0908] The server analyzes the received emotional information to recognize the user's current emotional state, and determines whether the user's emotion is positive or negative using voice analysis, facial recognition, or text analysis.

[0909] 4. Generate a recommended agenda:

[0910] The server generates a recommended meeting agenda based on the acquired past meeting data and success stories, as well as the user's emotional state. For example, if the user is in a positive emotional state, the server generates an agenda with proactive suggestions, and if the user is in a negative emotional state, the server generates an agenda with a more supportive focus.

[0911] 5. Generate related materials:

[0912] The server generates success stories and other supporting materials related to the product and associates them with the sales agenda.

[0913] 6. Packaging the agenda and materials:

[0914] The server assembles the generated business meeting agenda and related materials into a single package.

[0915] 4. Sending and displaying results

[0916] The server then packages the generated business meeting agenda and related materials and sends them to the terminal, typically using a secure protocol such as HTTP or HTTPS.

[0917] The terminal receives the business meeting agenda and related materials package sent from the server and displays them on the user interface, allowing the user to easily check the most suitable business meeting agenda and related materials.

[0918] Specific examples

[0919] For example, if a user inputs the name of the agent "Agency A," the date of the meeting "December 1, 2023," the name of the product "Product X," and indicates a positive emotional state, the system will:

[0920] 1. User enters:

[0921] Agency name: Agency A

[0922] Negotiation date: December 1, 2023

[0923] Product Name: Product X

[0924] Emotional state: Positive

[0925] 2. The device sends the data to the server.

[0926] 3. The server searches historical data and best practices to generate the following recommended agenda and materials:

[0927] Suggested agenda:

[0928] 1. Product introduction (including proactive proposals)

[0929] 2. Competitive Comparison

[0930] 3. Implementation support

[0931] 4. Q&A session

[0932] Related resources:

[0933] Product X success story ppt (link)

[0934] 4. The server sends the results to the device.

[0935] 5. The terminal displays the results to the user, who uses them as materials for business negotiations.

[0936] In this way, insights into user sentiment can be used to provide more personalized meeting agendas and materials, increasing the success rate of sales negotiations.

[0937] The processing flow will be explained below.

[0938] Step 1:

[0939] The user uses the terminal to input business negotiation information (agency name, business negotiation date, product name), and also performs voice input and camera facial recognition to recognize the user's emotions.

[0940] Step 2:

[0941] The device collects the sales information and sentiment data entered by the user and converts it into JSON format, which is then ready to be sent to the server.

[0942] Step 3:

[0943] The device sends well-formatted business negotiation information data and emotion data to the server, typically using a secure communication protocol such as HTTPS.

[0944] Step 4:

[0945] The server receives the business negotiation information data and emotion data sent from the device, and the received data is stored in the server's memory or temporary storage.

[0946] Step 5:

[0947] The server runs an SQL query to retrieve past sales data from the database based on the sales information. This query is based on the provided agent name and sales date. For example:

[0948] sql

[0949] SELECT FROM Negotiation History WHERE Agency Name = 'Agency A' AND Negotiation Date = '2023-12-01';

[0950] The search results are retrieved.

[0951] Step 6:

[0952] The server runs an SQL query to extract success stories related to the product name from the database. This query is based on the product name entered. For example:

[0953] sql

[0954] SELECT FROM Success Stories WHERE Product Name = 'Product X';

[0955] The extraction results are obtained.

[0956] Step 7:

[0957] The server analyzes the received emotion data and recognizes the user's current emotional state (positive or negative). The emotion engine uses voice analysis, facial recognition, or text analysis.

[0958] Step 8:

[0959] The server generates a recommended agenda based on past business negotiation data and success story data. The content of the agenda changes dynamically, taking into account the user's emotional state. For example, if the user is positive, the server generates an agenda with more positive suggestions.

[0960] Step 9:

[0961] The server generates a link to a document of a success story related to the product. For example, it creates a link to "Product X success story ppt."

[0962] Step 10:

[0963] The server assembles the generated recommended agenda and related materials into a package, which is structured in JSON or XML format.

[0964] Step 11:

[0965] The server transmits the packaged business meeting agenda and related materials to the terminal, also using the HTTPS protocol.

[0966] Step 12:

[0967] The terminal receives the package sent from the server and stores it in memory or temporary storage.

[0968] Step 13:

[0969] The terminal displays the received business meeting agenda and related materials on a user interface, allowing the user to check the recommended agenda and related materials and use them as business meeting materials.

[0970] In this way, the system of the present invention significantly improves the efficiency of business negotiation preparation and provides personalized materials that take into account the user's emotions, thereby realizing effective business negotiations.

[0971] Example 2

[0972] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0973] Conventional transaction support systems provide a function where users input the information necessary for negotiations and generate transaction agendas and related materials based on past transaction data and success stories. However, these systems cannot take the user's emotions into consideration, making it difficult to generate personalized transaction agendas and materials that reflect the user's emotions. Furthermore, if the generated agendas and materials do not match the user's current state of mind or transaction situation, the effectiveness of the negotiations may be reduced.

[0974] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for a user to input information about a transaction, a means for transmitting the input information to the server, a means for searching a database for past transaction data and success stories, a means for generating a recommended transaction agenda and related materials based on the search results, a means for recognizing the user's emotions and adjusting the transaction agenda and materials based on the emotions, a means for transmitting the generated agenda and materials to the user terminal, and a means for displaying the agenda and materials transmitted to the terminal to the user. This makes it possible to generate a personalized transaction agenda and materials that take the user's emotions into consideration, thereby increasing the success rate of business negotiations.

[0975] A "user" is an entity that uses the system to input transaction information.

[0976] A "transaction" is a series of business activities, including business negotiations, commercial negotiations, and sales activities.

[0977] "Information" refers to the data and knowledge necessary for a transaction, including agent information, transaction date and time, product name, etc.

[0978] A "means" is a method, device, or component of a system for achieving a specific purpose.

[0979] An "input means" is a device or method (e.g., keyboard, mouse, voice input device) that a user uses to provide information to a system.

[0980] "Transmission means" refers to a communication method or device (e.g., the Internet, wireless communication) for transmitting input information to the server.

[0981] A "server" is a computer system that stores, processes, and analyzes data.

[0982] A "database" is an information system for systematically storing and managing large amounts of data.

[0983] A "search tool" is software or algorithm used to find specific information in a database.

[0984] A "deal agenda" is the content or topics of discussion to be discussed in a business negotiation or transaction.

[0985] "Related Materials" means supporting information or documents (e.g., presentation slides, data sheets) related to the transaction agenda.

[0986] "Emotion recognition means" refers to technology (e.g., voice analysis, face recognition system) for analyzing a user's emotions and determining their emotional state.

[0987] "Packaging" is the process of combining multiple agenda items or materials into one.

[0988] A "user terminal" is a device such as a computer or smartphone that is directly operated by a user.

[0989] "Display means" refers to the method or technology (e.g., display, monitor) for visually presenting the agenda and materials to the user terminal.

[0990] This invention relates to a system that enables more effective business negotiations by streamlining the creation of business negotiation materials and combining it with an emotion engine that recognizes the user's emotions. This system not only automatically generates optimal business agendas and related materials and provides them to the user simply by the user inputting the information necessary for the transaction, but also adjusts the content of the materials taking the user's emotional state into consideration.

[0991] 1. Data Entry

[0992] The user inputs transaction information using a terminal. Specifically, the user inputs information such as the agent's name, transaction date, and product name. The user can also input their emotional state using a microphone or camera. This allows the system to grasp the user's current emotional state.

[0993] 2. Data Transmission

[0994] The terminal collects transaction information and sentiment information entered by the user and sends it to the server as structured data (e.g., JSON format). The data is appropriately protected using secure transmission protocols such as HTTP or HTTPS.

[0995] 3. Data analysis and proposal generation

[0996] The server analyzes the received transaction information and sentiment information and processes the data in the following steps:

[0997] Search historical data:

[0998] The server searches the database for past transaction data related to the entered agent name and transaction date.

[0999] Success stories extracted:

[1000] The server extracts past success stories related to the input product name from a database.

[1001] User Emotion Recognition:

[1002] The server analyzes the received emotional information and recognizes the user's current emotional state using voice analysis, face recognition, and text analysis.

[1003] Generate a suggested agenda:

[1004] The server generates a recommended trading agenda based on the acquired past trading data and success stories, as well as the user's emotional state. For example, if the user is in a positive emotional state, the server generates an agenda including positive suggestions.

[1005] Generate related materials:

[1006] The server generates success stories and other supporting materials related to the product and associates them with the transaction agenda.

[1007] Packaging the agenda and materials:

[1008] The server assembles the generated business agenda and related materials into a package.

[1009] 4. Sending and displaying results

[1010] The server sends the generated transaction agenda and related materials package to the user's terminal, which displays the transaction agenda and related materials sent from the server on its user interface. This allows the user to easily check the optimal transaction agenda and related materials and use them in business negotiations.

[1011] Specific examples

[1012] For example, if a user enters the following information:

[1013] "Agency name: Agent A, Transaction date: December 1, 2023, Product name: Product X, Emotional state: Positive"

[1014] Based on this data, the device sends the information to the server, which generates the following recommended agenda and related materials:

[1015] "Suggested Agenda:

[1016] 1. Product introduction (including proactive proposals)

[1017] 2. Competitive Comparison

[1018] 3. Implementation support

[1019] 4. Q&A session

[1020] Related resources:

[1021] Product X success story ppt (link)

[1022] This is sent to the terminal, which displays it on the user interface.

[1023] Example prompt sentence:

[1024] "Generate a sales agenda and materials. Agency name: Agency A, Transaction execution date: December 1, 2023, Product name: Product X, Sentiment state: Positive"

[1025] This system enables the generation of personalized deal agendas and materials that take into account the user's emotions, thereby increasing the success rate of business negotiations.

[1026] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1027] Step 1: User Enters Information

[1028] The user uses the terminal to input information about the transaction. Specifically, the user inputs information such as the agent's name, transaction date, and product name using a keyboard or touch screen. The user also uses a microphone and camera to input their emotional state (e.g., positive or negative) as audio or video data.

[1029] Input: Information including agent name, transaction date, product name, and emotional state

[1030] Output: Input information is saved on the device

[1031] Step 2: The device sends the data to the server

[1032] The device sends the information entered in step 1 to the server as structured data in JSON format or similar. The secure HTTP or HTTPS protocol is used for communication.

[1033] Input: User-supplied structured data in JSON format

[1034] Output: Data is sent to the server

[1035] Step 3: The server receives and parses the data

[1036] The server receives the data sent from the device. This data includes the agent name, transaction date, product name, and emotional state. Based on this, the server analyzes the necessary information and processes each data element separately.

[1037] Input: Structured data sent from the terminal

[1038] Output: Parsed data elements (agency name, transaction date, product name, emotional state)

[1039] Step 4: The server searches for historical data

[1040] The server searches the database for relevant past transaction data based on the agent name and transaction date, for example, extracting past transaction history with the same agent or transaction data close to the specified transaction date.

[1041] Input: Parsed agency name, transaction execution date

[1042] Output: Relevant historical transaction data

[1043] Step 5: The server extracts success stories

[1044] The server retrieves success stories related to the product name from the database, and extracts key points for successful transactions based on past success stories and track records of the product.

[1045] Input: Entered product name

[1046] Output: Product-related success story data

[1047] Step 6: The server recognizes the user's emotion

[1048] The server uses technologies such as voice analysis, facial recognition, and text analysis to recognize the user's current emotional state, and reflects this in subsequent data processing based on the recognized emotional state (e.g., positive, negative).

[1049] Input: Audio and video data showing emotional state

[1050] Output: Recognized emotional state of the user

[1051] Step 7: The server generates a recommended agenda

[1052] The server generates recommended trading agendas based on past trading data, success story data, and the user's emotional state. For example, if the user is in a positive emotional state, it generates an agenda including positive suggestions.

[1053] Inputs: Past trading data, success stories, emotional state

[1054] Output: Recommended trading agenda

[1055] Step 8: The server generates the relevant materials

[1056] The server generates relevant success stories and other supporting materials for the product and associates them with the recommended deal agenda, including presentation slides, data sheets, etc.

[1057] Input: Success story data, transaction agenda

[1058] Output: Related materials

[1059] Step 9: The server packages the agenda and materials

[1060] The server generates a package of the transaction agenda and related materials, which may be in PDF or multimedia file format.

[1061] Input: Transaction agenda, related documents

[1062] Output: Packaged data

[1063] Step 10: The server sends the results to the device

[1064] The server transmits the packaged transaction agenda and related materials to the terminal using the secure HTTP or HTTPS protocol.

[1065] Input: Packaged data

[1066] Output: Data is sent to the terminal

[1067] Step 11: The terminal displays the results

[1068] The terminal displays the transaction agenda and related materials sent from the server on the user interface, allowing the user to easily check the most suitable transaction agenda and related materials and use them in business negotiations.

[1069] Input: Submitted transaction agenda and related materials

[1070] Output: Data displayed in the user interface

[1071] (Application example 2)

[1072] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[1073] In conventional sales document creation systems, sales documents and proposals are generic and do not adequately personalize based on the emotional state of each individual user. As a result, effective sales negotiations are often not possible, and improving the success rate of sales negotiations is an issue.

[1074] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1075] In this invention, the server includes means for a user to input information about a business negotiation, means for transmitting the input information and the user's emotional information to the server, means for searching a database for past business negotiation data and success stories, means for generating a recommended business negotiation agenda and related materials based on the search results and the emotional information, means for transmitting the generated agenda and materials to the user's terminal, means for displaying the agenda and materials transmitted to the terminal to the user, and means for analyzing the user's emotional state in real time and dynamically adjusting the content of proposals during the business negotiation. This makes it possible to provide an optimal business negotiation agenda and materials in real time that take the user's emotional state into consideration.

[1076] "Means for users to input information related to business negotiations" refers to an interface or device that allows users to input information related to business negotiations.

[1077] "Means for transmitting input information and user emotion information to the server" refers to communication means for transmitting negotiation information and emotion information input by the user to the server.

[1078] "Means for searching a database for past business negotiation data and success stories" refers to an algorithm or program for searching a database for past business negotiation data and success stories stored on a server.

[1079] "Means for generating recommended business meeting agendas and related materials based on search results and emotional information" refers to a system or program for generating optimal business meeting agendas and related materials based on search results of past data and user emotional information.

[1080] The "means for transmitting the generated agenda and materials to the user terminal" refers to a communication means for transmitting the generated business meeting agenda and related materials to the user terminal.

[1081] "Means for displaying to the user the agenda and materials transmitted to the terminal" refers to an interface or device for displaying the business meeting agenda and related materials transmitted to the user's terminal.

[1082] "Means for analyzing a user's emotional state in real time and dynamically adjusting proposal content during business negotiations" refers to a system or program that analyzes a user's emotional state in real time during business negotiations and dynamically changes the proposal content based on the results.

[1083] The present invention describes a system that analyzes user emotions in real time during business negotiations in a physical store and dynamically adjusts the content of the business negotiations. Specific implementation methods for this system are described below.

[1084] Basic configuration

[1085] The system consists of the following main means and devices:

[1086] 1. User Device

[1087] Smartphone

[1088] Smart Glasses

[1089] head-mounted display

[1090] 2. Server

[1091] Data analysis server

[1092] Emotion Recognition Engine

[1093] Agenda Generation Module

[1094] 3. Means of communication

[1095] Secure communication protocol using HTTP or HTTPS

[1096] System operation explanation

[1097] 1. User enters information about the opportunity

[1098] Users input information necessary for business negotiations using smartphones or smart glasses. The input information includes company information, product names, etc. Microphones and cameras are also used to capture emotional information from voice and facial expressions.

[1099] 2. Send the input information and user's emotional information to the server

[1100] The terminal collects the entered business negotiation information and emotional information and sends it to the server in a structured data format such as JSON.

[1101] 3. Data analysis and proposal generation by the server

[1102] The server performs the following processing based on the received business negotiation information and emotion information:

[1103] Database search: Search past sales negotiation data and success stories using company information and product names as criteria.

[1104] Emotion Recognition: Analyze user emotions in real time using voice, facial, and text analysis.

[1105] Recommended Agenda Generation: Generates the most appropriate meeting agenda based on sentiment and historical data. A positive sentiment generates an agenda with proactive suggestions, while a negative sentiment generates an agenda focused on support.

[1106] 4. Send the generated sales agenda and related materials

[1107] The server packages the generated business meeting agenda and related materials and sends them to the user's device using secure HTTP or HTTPS protocols.

[1108] 5. Display the agenda and materials sent to the device to the user

[1109] The business meeting agenda and related materials sent to the user terminal are displayed to the user through a dedicated application.

[1110] Examples and prompts

[1111] As a concrete example, consider a scenario in which a user inputs the following information and their emotional state is analyzed:

[1112] Company Name: Client A

[1113] Negotiation date: December 1, 2023

[1114] Product name: Product X

[1115] Emotional state: Positive

[1116] An example prompt for this scenario is:

[1117] Company Name: Client A

[1118] Negotiation date: December 1, 2023

[1119] Product name: Product X

[1120] Emotional state: Positive

[1121] This allows the server to generate a business meeting agenda and related materials, and provide optimal proposals to users in real time.By taking into account the user's emotional state, this system is expected to increase the success rate of business meetings.

[1122] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1123] Step 1:

[1124] User enters information about the opportunity

[1125] The user uses a device such as a smartphone or smart glasses to input basic information about the business negotiation (e.g., company name, negotiation date, product name, etc.). In addition, a microphone and a camera are used to capture voice data and facial expression data, which in turn captures emotional information.

[1126] Input: Company name, business negotiation date, product name, voice data, facial expression data

[1127] Output: Negotiation information (company name, negotiation date, product name), sentiment information

[1128] Specific operation: The user enters text information into an input form on the device, and captures voice and facial expressions using the device's microphone and camera.

[1129] Step 2:

[1130] The input information and the user's emotional information are sent to the server.

[1131] The terminal converts the business negotiation information entered by the user and the acquired emotional information into JSON format data and sends it to the server via the secure HTTP or HTTPS protocol.

[1132] Input: Negotiation information, sentiment information

[1133] Output: Send data to the server

[1134] Specific operation: The device converts the text input and captured voice and facial expression data into JSON format and sends it to the server endpoint using HTTPS.

[1135] Step 3:

[1136] Data analysis and proposal generation by the server

[1137] The server searches a database for past negotiation data and success stories based on the received negotiation information and emotional information. It then uses voice analysis, facial recognition, and text analysis to recognize the user's emotional state. Based on this, it generates an optimal negotiation agenda and related materials.

[1138] Input: Negotiation information, sentiment information

[1139] Output: Recommended agenda, related materials

[1140] Specific operation: The server executes an SQL query based on the business meeting information to retrieve related past data from the database, and performs sentiment analysis using the generative AI model. Based on the analysis results and past data, the business meeting agenda generation module generates the optimal agenda.

[1141] Step 4:

[1142] Send generated deal agendas and related materials

[1143] The server packages the generated business meeting agenda and related materials in an appropriate format and transmits them to the user's terminal using a secure communication protocol.

[1144] Input: Recommended agenda, related materials

[1145] Output: Data sent to the user's terminal

[1146] Specific operation: The server packages the recommended agenda and related materials in JSON format and sends it to the user's device using the HTTPS protocol.

[1147] Step 5:

[1148] Displaying the agenda and materials sent to the device to the user

[1149] The user terminal displays the received business meeting agenda and related materials in a dedicated application, and the user can proceed with the business meeting while looking at this.

[1150] Input: Data sent from the server (recommended agenda, related materials)

[1151] Output: Agenda and materials displayed on the user's screen

[1152] Specific operation: The terminal analyzes the received data and displays the business meeting agenda and related materials on the user interface of a dedicated application.

[1153] Step 6:

[1154] Analyzing the user's emotional state in real time and dynamically adjusting proposals during sales negotiations

[1155] The server analyzes the user's emotional state in real time during the negotiation and dynamically adjusts the proposal accordingly. To achieve this, the server utilizes an emotion recognition engine and transmits emotional information to the server as needed.

[1156] Input: Real-time emotional information (voice data, facial expression data)

[1157] Output: Updated opportunity agenda and proposal

[1158] Specific operation: During a sales meeting, the device continuously captures voice and facial expressions using a microphone and camera, and sends the captured images to the server. The server's emotion recognition engine analyzes the captured images and provides feedback to the sales meeting agenda generation module, dynamically adjusting the proposal content.

[1159] The above are the specific processing steps of the system that realizes the application example.

[1160] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1161] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1162] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[1163] [Third embodiment]

[1164] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[1165] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[1166] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1167] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[1168] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1169] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1170] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1171] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1172] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1173] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1174] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1175] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[1176] The present invention relates to a system for improving the efficiency of creating business negotiation materials. This system automatically generates optimal business negotiation agendas and related materials and provides them to users simply by inputting the information required for business negotiations.

[1177] 1. Data Entry

[1178] The user uses the terminal to input information about the business deal, specifically the following information:

[1179] Agency name

[1180] Negotiation date

[1181] Product name

[1182] 2. Data Transmission

[1183] The terminal collects the business negotiation information entered by the user and sends it to the server in a structured data format such as JSON.

[1184] 3. Data analysis and proposal generation

[1185] The server receives the business negotiation information sent from the device. Based on the received information, it performs data analysis and generates proposals in the following steps:

[1186] 1. Searching historical data:

[1187] The server searches the database for past negotiation data related to the entered agency name and negotiation date, and obtains the past negotiation history through this search.

[1188] 2. Extraction of success stories:

[1189] The server extracts past success stories related to the input product name from the database, thereby obtaining success story data related to the product.

[1190] 3. Generate a recommended agenda:

[1191] The server generates a recommended sales meeting agenda based on the acquired past sales meeting data and success stories, such as product introduction, competitor comparison, implementation support, and Q&A session.

[1192] 4. Generate related materials:

[1193] The server generates success stories and other supporting materials related to the product and associates them with the sales agenda.

[1194] 5. Packaging the agenda and materials:

[1195] The server assembles the generated business meeting agenda and related materials into a single package.

[1196] 4. Sending and displaying results

[1197] The server packages the generated business meeting agenda and related materials and transmits the package to the terminal, which includes recommended agenda items and links and files of related materials.

[1198] The terminal receives the business meeting agenda and related materials package sent from the server and displays them on the user interface, allowing the user to easily check the most suitable business meeting agenda and related materials.

[1199] Specific examples

[1200] For example, if a user enters an agent named "Agency A," a sales negotiation date of "December 1, 2023," and a product name of "Product X," the system will perform the following process:

[1201] 1. User enters:

[1202] Agency name: Agency A

[1203] Negotiation date: December 1, 2023

[1204] Product Name: Product X

[1205] 2. The device sends the data to the server.

[1206] 3. The server searches historical data and best practices to generate the following recommended agenda and materials:

[1207] Suggested agenda:

[1208] 1. Product introduction

[1209] 2. Competitive Comparison

[1210] 3. Implementation support

[1211] 4. Q&A session

[1212] Related resources:

[1213] Product X success story ppt (link)

[1214] 4. The server sends the results to the device.

[1215] 5. The terminal displays the results to the user, who uses them as materials for business negotiations.

[1216] In this way, the present invention improves the efficiency of creating business negotiation materials, and enables users to easily prepare optimal business negotiation materials.

[1217] The processing flow will be explained below.

[1218] Step 1:

[1219] The user uses the terminal to input business negotiation information, including the agent name, the business negotiation date, and the product name. The input information is accepted through a specific input form or application.

[1220] Step 2:

[1221] The terminal collects the business negotiation information entered by the user and converts the data into an appropriate format (e.g., JSON format), which is then prepared to be sent to the server.

[1222] Step 3:

[1223] The device sends well-formed data to the server, typically using a standard communications protocol such as HTTP or HTTPS.

[1224] Step 4:

[1225] The server receives the business negotiation information sent from the terminal, and the received data is stored in the server's memory or temporary storage.

[1226] Step 5:

[1227] The server searches the database for past negotiation data based on the negotiation information. This search is performed using the entered agent name and negotiation date as conditions. The search query is executed against the database and the results are retrieved.

[1228] Step 6:

[1229] The server extracts success stories related to the product name from the database. This extraction is also performed based on conditions. For example, success stories related to the product name "Product X" are searched for.

[1230] Step 7:

[1231] The server generates a recommended agenda based on the acquired sales negotiation data and success stories. The generated agenda includes items such as product introductions, competitor comparisons, implementation support, and Q&A sessions. These items are generated based on pre-set templates.

[1232] Step 8:

[1233] The server generates a link to a success story related to the product, for example, a link to a success story ppt for product X.

[1234] Step 9:

[1235] The server compiles the generated recommended agenda and related materials into a single package, which is organized in a structured format such as JSON or XML.

[1236] Step 10:

[1237] The server sends the packaged business agenda and related materials to the terminal, again using HTTP or HTTPS protocol.

[1238] Step 11:

[1239] The device receives the package sent from the server, and the received data is stored in the device's memory or temporary storage.

[1240] Step 12:

[1241] The terminal displays the received business meeting agenda and related materials on a user interface, allowing the user to easily check the recommended agenda and related materials.

[1242] In this way, the system of the present invention significantly improves the efficiency of business negotiation preparation and quickly provides users with materials that allow them to conduct effective business negotiations.

[1243] Example 1

[1244] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1245] Creating sales meeting materials requires a great deal of time and effort. In particular, generating recommended agendas and related materials based on past sales meeting data and success stories is time-consuming and hinders efficient sales meeting preparation. There is a need for a system that can solve this problem and enable users to quickly and easily create optimal sales meeting materials.

[1246] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1247] In this invention, the server includes means for a user to input information about a business negotiation, means for transmitting the input information to the server, means for searching a database for past business negotiation data and success stories, means for generating a recommended business negotiation agenda and related materials based on the search results, means for transmitting the generated agenda and materials to the user's terminal, and means for displaying the agenda and materials transmitted to the terminal to the user. This allows a user to simply input the necessary business negotiation information and automatically obtain the optimal business negotiation agenda and related materials, significantly improving the efficiency of business negotiation preparation.

[1248] "Means for users to input information related to business negotiations" refers to hardware or software that provides an interface for users to input information related to business negotiations (e.g., agency name, business negotiation date, product name, etc.).

[1249] "Means for transmitting input information to a server" refers to hardware or software that provides the functionality to convert the business negotiation information input by the user into a data format (e.g., JSON format) and transmit it to a server via the Internet or other communication means.

[1250] "Means for searching past business negotiation data and success stories from a database" refers to hardware or software that provides the functionality for a server to search past business negotiation data and success stories stored in a database based on specific conditions (e.g., agency name or product name) and obtain the required data.

[1251] "Means for generating recommended meeting agendas and related materials based on search results" refers to hardware or software that provides the functionality to automatically generate recommended meeting agendas and related materials (e.g., presentation materials, PDF files, etc.) based on acquired past meeting data and success stories.

[1252] "Means for transmitting the generated agenda and materials to the user terminal" refers to hardware or software that provides the functionality to package the business meeting agenda and related materials generated on the server and transmit them to the terminal used by the user.

[1253] "Means for displaying to the user the agenda and materials sent to the terminal" refers to hardware or software that provides the functionality for the user terminal to display the business meeting agenda and related materials received from the server in a form that can be visually confirmed by the user.

[1254] "Means for searching based on agency information and product name" refers to hardware or software that provides the functionality for the server to search past sales negotiation data and success stories in the database based on the agency name and product name entered, and retrieve the relevant data.

[1255] "Means for packaging the generated recommended agenda and related materials and transmitting them from the server to the terminal" refers to hardware or software that provides the functionality to compile the business meeting agenda and related materials generated by the server into a single file or data package (e.g., a ZIP file) and transmit it to the user's terminal.

[1256] MODE FOR CARRYING OUT THE INVENTION

[1257] The present invention relates to a system for improving the efficiency of creating business negotiation materials. This system automatically generates optimal business negotiation agendas and related materials and provides them to the user simply by inputting the information required for the business negotiation. Specific embodiments of this system are described below.

[1258] 1. Data Entry

[1259] The user inputs business negotiation information through a terminal interface. This input interface is often implemented as a web application or mobile application. The user inputs, for example, the name of the agency, the date of the business negotiation, and the name of the product.

[1260] 2. Data Transmission

[1261] The device converts the information entered by the user into JSON format data and sends it to the server using standard protocols such as HTTP or HTTPS. At this stage, the device notifies the user that the transmission was successful.

[1262] 3. Data analysis and proposal generation

[1263] The server receives and parses the JSON data sent from the device. The server runs a backend implemented in Python, Node.js, etc., which performs the following processes:

[1264] 1. Searching historical data:

[1265] The server searches a database for past sales negotiation data related to the agent name and the sales negotiation date, which is often a relational database such as MySQL or PostgreSQL.

[1266] 2. Extraction of success stories:

[1267] The server extracts success stories related to the product name from the database. The success stories may be saved in formats such as Excel files or presentation materials.

[1268] 3. Generate a recommended agenda:

[1269] The server generates a recommended meeting agenda based on past meeting data and success stories, using a generative AI model to determine agenda items such as product introductions, competitor comparisons, implementation support, and Q&A sessions.

[1270] 4. Generate related materials:

[1271] The server generates success stories and other supporting materials related to the product and associates them with the sales agenda.

[1272] 5. Packaging the agenda and materials:

[1273] The server assembles the generated business meeting agenda and related materials into a package (eg, a ZIP file).

[1274] 4. Sending and displaying results

[1275] The server sends the generated package of business meeting agenda and related materials to the terminal, which displays the received content on the user interface. The user can check the displayed agenda and related materials.

[1276] Specific examples

[1277] For example, if a user enters "Agency A," "December 1, 2023," and "Product X," the system will do the following:

[1278] 1. User enters information:

[1279] Agency name: Agency A

[1280] Negotiation date: December 1, 2023

[1281] Product Name: Product X

[1282] 2. The device sends the data to the server.

[1283] 3. The server generates the following recommended agenda and materials:

[1284] Suggested agenda:

[1285] 1. Product introduction

[1286] 2. Competitive Comparison

[1287] 3. Implementation support

[1288] 4. Q&A session

[1289] Related resources:

[1290] Product X success story ppt (link)

[1291] 4. The server sends the results to the device.

[1292] 5. The terminal displays the results to the user, who uses them as materials for business negotiations.

[1293] Prompt Sentence Examples

[1294] Examples of prompts that the system can use to input the generative AI model are:

[1295] Generate a program for a sales meeting materials creation system. This system automatically generates the optimal sales meeting agenda and related materials based on the sales meeting information entered by the user. Sales meeting information includes the agency name, sales meeting date, and product name. Related materials include a link to a success story PowerPoint.

[1296] In this way, the present invention is a system that improves the efficiency of creating business negotiation materials and enables users to easily prepare optimal business negotiation materials.

[1297] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1298] Step 1:

[1299] The user enters the business negotiation information. The user enters the "agency name," "business negotiation date," and "product name" on the terminal interface. For example, the information entered is as follows:

[1300] Agency name: Agency A

[1301] Negotiation date: December 1, 2023

[1302] Product Name: Product X

[1303] The entered information is sent to the terminal.

[1304] Step 2:

[1305] The terminal sends data to the server. The terminal converts the information entered by the user into JSON format and sends it to the server via HTTP or HTTPS protocol. The data sent is in the following format:

[1306] json

[1307] {

[1308] "Agency Name": "Agency A",

[1309] "Negotiation date": "December 1, 2023",

[1310] "Product Name": "Product X"

[1311] }

[1312] The terminal confirms the completion of the transmission and displays a success message to the user.

[1313] Step 3:

[1314] The server receives and analyzes the data. The server parses the received JSON data and prepares to search the database for past sales negotiation data and success stories.

[1315] Step 4:

[1316] The server searches for past data. To retrieve past sales negotiation data, the server issues a search query to the database using the agent name "Agency A" and the sales negotiation date "December 1, 2023". For example, the retrieved data is in the following format:

[1317] json

[1318] {

[1319] "Opportunity ID": 123,

[1320] "Business details": "Emphasis on implementation support and Q&A sessions"

[1321] }

[1322] Step 5:

[1323] The server extracts success stories. The server extracts success stories from the database using the product name "Product X" as a condition. For example, the following success story data is obtained:

[1324] json

[1325] {

[1326] "Success case ID": 456,

[1327] "Key points for success": "Competitive comparison and implementation support were the deciding factors"

[1328] }

[1329] Step 6:

[1330] The server generates a recommended agenda. The server generates a recommended meeting agenda based on past meeting data and success stories. This process uses a generative AI model, and an agenda like the one below is generated:

[1331] Suggested agenda:

[1332] 1. Product introduction

[1333] 2. Competitive Comparison

[1334] 3. Implementation support

[1335] 4. Q&A session

[1336] Step 7:

[1337] The server generates related materials. The server generates success stories and supporting materials related to the product and associates them with the sales meeting agenda. Specifically, a ppt file link related to the success story of product X is generated:

[1338] Related resources:

[1339] Product X success story ppt (link)

[1340] Step 8:

[1341] The server packages the agenda and documents. The generated business meeting agenda and related documents are packaged together as a single package (e.g., a ZIP file).

[1342] Step 9:

[1343] The server sends the package to the terminal. The server sends the generated package of business meeting agenda and related materials to the terminal. The specific contents sent are as follows:

[1344] Package Includes:

[1345] Recommended Agenda (text or HTML format)

[1346] Related links and files

[1347] Step 10:

[1348] The terminal displays the results to the user. The terminal displays the agenda and materials received from the server on the user interface. The user can check the displayed agenda and related materials and use them as business negotiation materials.

[1349] (Application example 1)

[1350] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1351] Conventional sales document creation systems have the problem of making it difficult to efficiently prepare for sales meetings while on the move. In particular, there is a lack of safe ways to check and edit documents in autonomous vehicles, and they are unable to provide adequate support for sales representatives to efficiently prepare sales documents. It is necessary to solve this problem and significantly improve the efficiency of sales meeting preparation.

[1352] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1353] In this invention, the server includes a means for a user to input information about a business negotiation, a means for transmitting the input information to the server, a means for searching a database for past business negotiation data and success stories, and a means for displaying and editing the generated agenda and materials on the dashboard or head-up display of the autonomous vehicle, thereby enabling the user to efficiently check and edit business negotiation materials even while traveling to the business negotiation.

[1354] The "means by which the user inputs information related to the business negotiation" refers to a device or interface that allows the user to input information necessary for the business negotiation, such as agency information, the date of the business negotiation, and the name of the product.

[1355] The "means for transmitting input information to a server" refers to a function or protocol for transmitting the business negotiation information input by the user to a server via a network.

[1356] The "means for searching a database for past business negotiation data and success stories" refers to an algorithm or system for quickly searching a database for past business negotiation data and success stories based on input business negotiation information.

[1357] The "means for generating recommended business meeting agendas and related materials based on search results" is software for analyzing the searched data and automatically generating optimal business meeting agendas and related materials.

[1358] The "means for transmitting the generated agenda and materials to the user terminal" refers to a communication function or protocol for transmitting the generated business negotiation agenda and related materials to the user terminal.

[1359] The "means for displaying to the user the agenda and materials transmitted to the terminal" refers to software or an interface for visually displaying the business meeting agenda and related materials on the user terminal.

[1360] "Means for displaying and editing business documents on the dashboard or head-up display of an autonomous vehicle while traveling to a business meeting" refers to functions and tools for displaying and editing business documents via the dashboard or head-up display in an autonomous vehicle while traveling to a business meeting.

[1361] MODE FOR CARRYING OUT THE INVENTION

[1362] System Overview

[1363] This invention relates to a sales negotiation material creation support system that is installed on the dashboard or head-up display of an autonomous vehicle. The system automatically generates optimal sales negotiation agendas and related materials and provides them to the user simply by inputting information about the sales negotiation.

[1364] Hardware and software used

[1365] The system uses the following hardware and software:

[1366] 1. Frontend:

[1367] Autonomous vehicle dashboard or head-up display (HUD)

[1368] Front-end UI: HTML / CSS / JavaScript

[1369] 2. Backend:

[1370] Server: Any cloud server (e.g. AWS, Google Cloud)

[1371] Application framework: Flask or Django (Python)

[1372] Database: PostgreSQL or MySQL

[1373] 3. Communication:

[1374] Send and receive data using REST API

[1375] Data format: JSON

[1376] Explanation of program processing

[1377] The main parts of the system and their specific processing will be described below.

[1378] 1. User data input

[1379] The user uses the terminal (dashboard or HUD of the autonomous vehicle) to input information about the deal, such as the agency name, deal date, product name, etc. This data is collected through the front-end UI in the following format:

[1380] Agency name

[1381] Negotiation date

[1382] Product name

[1383] 2. Data Transmission

[1384] The input data is sent to the server as structured data (JSON format). The server receives the data and stores it in a database.

[1385] 3. Data analysis and document generation

[1386] The server does the following:

[1387] 1. Search for historical data:

[1388] Past business negotiation data related to the entered agency name and business negotiation date is searched from the database.

[1389] 2. Extraction of success stories:

[1390] Past success stories related to the entered product name are extracted from the database.

[1391] 3. Generate a recommended agenda:

[1392] Generate recommended meeting agendas based on past meeting data and success stories (e.g., product introductions, competitive comparisons, implementation support, Q&A sessions).

[1393] 4. Generate related materials:

[1394] Generate success stories and other supporting materials related to the product and associate them with the sales agenda.

[1395] 4. Data transmission and display

[1396] The server compiles the generated business meeting agenda and related materials into a single package and sends it back to the terminal in JSON format. The terminal analyzes the received data and displays the business meeting materials on a dashboard or HUD.

[1397] Specific examples

[1398] Usage example

[1399] 1. A user (salesperson) enters the following sales information from the dashboard inside the autonomous vehicle:

[1400] Agency name: Agency A

[1401] Negotiation date: December 1, 2023

[1402] Product Name: Product X

[1403] 2. This data is sent to the server, and the sales negotiation materials are generated.

[1404] 3. The server generates the following recommended agenda and related materials:

[1405] Suggested agenda:

[1406] 1. Product introduction

[1407] 2. Competitive Comparison

[1408] 3. Implementation support

[1409] 4. Q&A session

[1410] Related resources:

[1411] Product X success story ppt (link)

[1412] 4. The generated materials are displayed on the dashboard or HUD of the autonomous vehicle for the user to review.

[1413] Prompt Sentence Examples

[1414] To generate a sales document, please provide the following information:

[1415] Please enter the agency name, the date of the negotiation, and the product name.

[1416] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1417] Step 1:

[1418] The user uses a terminal (dashboard or head-up display of the autonomous vehicle) to input information about the deal, such as the agency name, the deal date, and the product name. The input data is prepared as structured JSON data through the user interface. The input data includes the following items:

[1419] Agency name

[1420] Negotiation date

[1421] Product name

[1422] Step 2:

[1423] The terminal sends the entered data to the server using an HTTP POST request, and the data is sent to the server in JSON format, which the server receives and stores in a database.

[1424] Input: Opportunity information in JSON format

[1425] Output: Notification of completion of data transmission to the server

[1426] Step 3:

[1427] The server searches the database for related past sales negotiation data and success stories. The server searches for past sales negotiation data based on the input agency name and sales negotiation date. The server also extracts success stories related to the input product name from the database.

[1428] Input: Opportunity data and success story search criteria from the database

[1429] Output: Search results and historical data and success stories

[1430] Step 4:

[1431] The server generates a recommended sales meeting agenda and related materials based on the searched data. Specifically, it analyzes past sales meeting data and success stories to generate a sales meeting agenda that includes product introductions, competitive comparisons, implementation support, and Q&A sessions. Related materials (e.g., success story presentations) are also created.

[1432] Input: Historical data and success stories as search results

[1433] Output: Suggested agenda and related materials

[1434] Step 5:

[1435] The server compiles the generated business meeting agenda and related materials into a single package and sends it to the terminal in JSON format. Data is sent from the server using an HTTP POST request.

[1436] Input: Suggested agenda and related materials

[1437] Output: Notification of completion of data transmission to the terminal

[1438] Step 6:

[1439] The device analyzes the received meeting agenda and related documents and displays them to the user, providing visual information through a dashboard or head-up display, allowing the user to review and edit the meeting documents.

[1440] Input: Suggested agenda and related materials from the server

[1441] Output: Display in the user interface

[1442] Specific examples

[1443] For example, if a user (salesperson) enters the following sales information on the dashboard of an autonomous vehicle:

[1444] Agency name: Agency A

[1445] Negotiation date: December 1, 2023

[1446] Product Name: Product X

[1447] This data is sent to a server, which searches past deal data and success stories to generate a recommended agenda and related materials, such as:

[1448] Suggested agenda:

[1449] 1. Product introduction

[1450] 2. Competitive Comparison

[1451] 3. Implementation support

[1452] 4. Q&A session

[1453] Related resources:

[1454] Product X success story ppt (link)

[1455] The generated materials are displayed on the dashboard or head-up display of the autonomous vehicle, where they can be viewed and edited by the user.

[1456] Prompt Sentence Examples

[1457] To generate a sales document, please provide the following information:

[1458] Please enter the agency name, the date of the negotiation, and the product name.

[1459] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1460] This invention relates to a system that can conduct more effective business negotiations by improving the efficiency of creating business negotiation materials and combining it with an emotion engine that recognizes the user's emotions. This system not only automatically generates and provides the optimal business negotiation agenda and related materials to the user simply by the user inputting the information necessary for the business negotiation, but also adjusts the content of the materials taking the user's emotions into consideration.

[1461] 1. Data Entry

[1462] The user uses the terminal to input information about the business deal, including the following:

[1463] Agency name

[1464] Negotiation date

[1465] Product name

[1466] Users can also communicate their emotions using a microphone, camera, etc.

[1467] 2. Data Transmission

[1468] The device collects the sales negotiation information and emotion information entered by the user and sends it to the server in a structured data format such as JSON.

[1469] 3. Data analysis and proposal generation

[1470] The server receives the business negotiation information and emotion information sent from the device. Based on the received information, it performs data analysis and generates proposals in the following steps:

[1471] 1. Searching historical data:

[1472] The server searches the database for past negotiation data related to the entered agency name and negotiation date, and obtains the past negotiation history through this search.

[1473] 2. Extraction of success stories:

[1474] The server extracts past success stories related to the input product name from the database, thereby obtaining success story data related to the product.

[1475] 3. User Emotion Recognition:

[1476] The server analyzes the received emotional information to recognize the user's current emotional state, and determines whether the user's emotion is positive or negative using voice analysis, facial recognition, or text analysis.

[1477] 4. Generate a recommended agenda:

[1478] The server generates a recommended meeting agenda based on the acquired past meeting data and success stories, as well as the user's emotional state. For example, if the user is in a positive emotional state, the server generates an agenda with proactive suggestions, and if the user is in a negative emotional state, the server generates an agenda with a more supportive focus.

[1479] 5. Generate related materials:

[1480] The server generates success stories and other supporting materials related to the product and associates them with the sales agenda.

[1481] 6. Packaging the agenda and materials:

[1482] The server assembles the generated business meeting agenda and related materials into a single package.

[1483] 4. Sending and displaying results

[1484] The server then packages the generated meeting agenda and related materials and sends them to the terminal, typically using a secure protocol such as HTTP or HTTPS.

[1485] The terminal receives the business meeting agenda and related materials package sent from the server and displays them on the user interface, allowing the user to easily check the most suitable business meeting agenda and related materials.

[1486] Specific examples

[1487] For example, if a user inputs the name of the agent "Agency A," the date of the meeting "December 1, 2023," the name of the product "Product X," and indicates a positive emotional state, the system will:

[1488] 1. User enters:

[1489] Agency name: Agency A

[1490] Negotiation date: December 1, 2023

[1491] Product Name: Product X

[1492] Emotional state: Positive

[1493] 2. The device sends the data to the server.

[1494] 3. The server searches historical data and best practices to generate the following recommended agenda and materials:

[1495] Suggested agenda:

[1496] 1. Product introduction (including proactive proposals)

[1497] 2. Competitive Comparison

[1498] 3. Implementation support

[1499] 4. Q&A session

[1500] Related resources:

[1501] Product X success story ppt (link)

[1502] 4. The server sends the results to the device.

[1503] 5. The terminal displays the results to the user, who uses them as materials for business negotiations.

[1504] In this way, insights into user sentiment can be used to provide more personalized meeting agendas and materials, increasing the success rate of sales negotiations.

[1505] The processing flow will be explained below.

[1506] Step 1:

[1507] The user uses the terminal to input business negotiation information (agency name, business negotiation date, product name), and also performs voice input and camera facial recognition to recognize the user's emotions.

[1508] Step 2:

[1509] The device collects the sales information and sentiment data entered by the user and converts it into JSON format, which is then ready to be sent to the server.

[1510] Step 3:

[1511] The device sends well-formatted business negotiation information data and emotion data to the server, typically using a secure communication protocol such as HTTPS.

[1512] Step 4:

[1513] The server receives the business negotiation information data and emotion data sent from the device, and the received data is stored in the server's memory or temporary storage.

[1514] Step 5:

[1515] The server runs an SQL query to retrieve past sales data from the database based on the sales information. This query is based on the provided agent name and sales date. For example:

[1516] sql

[1517] SELECT FROM Negotiation History WHERE Agency Name = 'Agency A' AND Negotiation Date = '2023-12-01';

[1518] The search results are retrieved.

[1519] Step 6:

[1520] The server runs an SQL query to extract success stories related to the product name from the database. This query is based on the product name entered. For example:

[1521] sql

[1522] SELECT FROM Success Stories WHERE Product Name = 'Product X';

[1523] The extraction results are obtained.

[1524] Step 7:

[1525] The server analyzes the received emotion data and recognizes the user's current emotional state (positive or negative). The emotion engine uses voice analysis, facial recognition, or text analysis.

[1526] Step 8:

[1527] The server generates a recommended agenda based on past business negotiation data and success case data. The content of the agenda changes dynamically, taking into account the user's emotional state. For example, if the user is positive, the server generates an agenda with more positive suggestions.

[1528] Step 9:

[1529] The server generates a link to a document of a success story related to the product. For example, it creates a link to "Product X success story ppt."

[1530] Step 10:

[1531] The server assembles the generated recommended agenda and related materials into a package, which is structured in JSON or XML format.

[1532] Step 11:

[1533] The server transmits the packaged business meeting agenda and related materials to the terminal, also using the HTTPS protocol.

[1534] Step 12:

[1535] The terminal receives the package sent from the server and stores it in memory or temporary storage.

[1536] Step 13:

[1537] The terminal displays the received business meeting agenda and related materials on a user interface, allowing the user to check the recommended agenda and related materials and use them as business meeting materials.

[1538] In this way, the system of the present invention significantly improves the efficiency of business negotiation preparation and provides personalized materials that take into account the user's emotions, thereby realizing effective business negotiations.

[1539] Example 2

[1540] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1541] Conventional transaction support systems provide a function where users input the information necessary for negotiations and generate transaction agendas and related materials based on past transaction data and success stories. However, these systems cannot take the user's emotions into consideration, making it difficult to generate personalized transaction agendas and materials that reflect the user's emotions. Furthermore, if the generated agendas and materials do not match the user's current state of mind or transaction situation, the effectiveness of the negotiations may be reduced.

[1542] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for a user to input information about a transaction, a means for transmitting the input information to the server, a means for searching a database for past transaction data and success stories, a means for generating a recommended transaction agenda and related materials based on the search results, a means for recognizing the user's emotions and adjusting the transaction agenda and materials based on the emotions, a means for transmitting the generated agenda and materials to the user terminal, and a means for displaying the agenda and materials transmitted to the terminal to the user. This makes it possible to generate a personalized transaction agenda and materials that take the user's emotions into consideration, thereby increasing the success rate of business negotiations.

[1543] A "user" is an entity that uses the system to input transaction information.

[1544] A "transaction" is a series of business activities, including business negotiations, commercial negotiations, and sales activities.

[1545] "Information" refers to the data and knowledge necessary for a transaction, including agent information, transaction date and time, product name, etc.

[1546] A "means" is a method, device, or component of a system for achieving a specific purpose.

[1547] An "input means" is a device or method (e.g., keyboard, mouse, voice input device) that a user uses to provide information to a system.

[1548] "Transmission means" refers to a communication method or device (e.g., the Internet, wireless communication) for transmitting input information to the server.

[1549] A "server" is a computer system that stores, processes, and analyzes data.

[1550] A "database" is an information system for systematically storing and managing large amounts of data.

[1551] A "search tool" is software or algorithm used to find specific information in a database.

[1552] A "deal agenda" is the content or topics of discussion to be discussed in a business negotiation or transaction.

[1553] "Related Materials" means supporting information or documents (e.g., presentation slides, data sheets) related to the transaction agenda.

[1554] "Emotion recognition means" refers to technology (e.g., voice analysis, face recognition system) for analyzing a user's emotions and determining their emotional state.

[1555] "Packaging" is the process of combining multiple agenda items or materials into one.

[1556] A "user terminal" is a device such as a computer or smartphone that is directly operated by a user.

[1557] "Display means" refers to the method or technology (e.g., display, monitor) for visually presenting the agenda and materials to the user terminal.

[1558] This invention relates to a system that enables more effective business negotiations by streamlining the creation of business negotiation materials and combining it with an emotion engine that recognizes the user's emotions. This system not only automatically generates optimal business agendas and related materials and provides them to the user simply by the user inputting the information necessary for the transaction, but also adjusts the content of the materials taking the user's emotional state into consideration.

[1559] 1. Data Entry

[1560] The user uses a terminal to input information about the transaction, such as the agent's name, the transaction date, and the product name. The user can also input their emotional state using a microphone or camera, which allows the system to understand the user's current emotional state.

[1561] 2. Data Transmission

[1562] The terminal collects transaction information and sentiment information entered by the user and sends it to the server as structured data (e.g., JSON format). The data is appropriately protected using secure transmission protocols such as HTTP or HTTPS.

[1563] 3. Data analysis and proposal generation

[1564] The server analyzes the received transaction information and sentiment information and processes the data in the following steps:

[1565] Search historical data:

[1566] The server searches the database for past transaction data related to the entered agent name and transaction date.

[1567] Success stories extracted:

[1568] The server extracts past success stories related to the input product name from a database.

[1569] User Emotion Recognition:

[1570] The server analyzes the received emotional information and recognizes the user's current emotional state using voice analysis, face recognition, and text analysis.

[1571] Generate a suggested agenda:

[1572] The server generates a recommended trading agenda based on the acquired past trading data and success stories, as well as the user's emotional state. For example, if the user is in a positive emotional state, the server generates an agenda including positive suggestions.

[1573] Generate related materials:

[1574] The server generates success stories and other supporting materials related to the product and associates them with the transaction agenda.

[1575] Packaging the agenda and materials:

[1576] The server assembles the generated business agenda and related materials into a package.

[1577] 4. Sending and displaying results

[1578] The server sends the generated transaction agenda and related materials package to the user's terminal, which displays the transaction agenda and related materials sent from the server on its user interface. This allows the user to easily check the optimal transaction agenda and related materials and use them in business negotiations.

[1579] Specific examples

[1580] For example, if a user enters the following information:

[1581] "Agency name: Agent A, Transaction date: December 1, 2023, Product name: Product X, Emotional state: Positive"

[1582] Based on this data, the device sends the information to the server, which generates the following recommended agenda and related materials:

[1583] "Suggested Agenda:

[1584] 1. Product introduction (including proactive proposals)

[1585] 2. Competitive Comparison

[1586] 3. Implementation support

[1587] 4. Q&A session

[1588] Related resources:

[1589] Product X success story ppt (link)

[1590] This is sent to the terminal, which displays it on the user interface.

[1591] Example prompt sentence:

[1592] "Generate a sales agenda and materials. Agency name: Agency A, Transaction execution date: December 1, 2023, Product name: Product X, Sentiment state: Positive"

[1593] This system enables the generation of personalized deal agendas and materials that take into account the user's emotions, thereby increasing the success rate of business negotiations.

[1594] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1595] Step 1: User Enters Information

[1596] The user uses the terminal to input information about the transaction. Specifically, the user inputs information such as the agent's name, transaction date, and product name using a keyboard or touch screen. The user also uses a microphone and camera to input their emotional state (e.g., positive or negative) as audio or video data.

[1597] Input: Information including agent name, transaction date, product name, and emotional state

[1598] Output: Input information is saved on the device

[1599] Step 2: The device sends the data to the server

[1600] The device sends the information entered in step 1 to the server as structured data in JSON format or similar. The secure HTTP or HTTPS protocol is used for communication.

[1601] Input: User-supplied structured data in JSON format

[1602] Output: Data is sent to the server

[1603] Step 3: The server receives and parses the data

[1604] The server receives the data sent from the device. This data includes the agent name, transaction date, product name, and emotional state. Based on this, the server analyzes the necessary information and processes each data element separately.

[1605] Input: Structured data sent from the terminal

[1606] Output: Parsed data elements (agency name, transaction date, product name, emotional state)

[1607] Step 4: The server searches for historical data

[1608] The server searches the database for relevant past transaction data based on the agent name and transaction date, for example, extracting transaction history with the same agent or transaction data close to the specified transaction date.

[1609] Input: Parsed agency name, transaction execution date

[1610] Output: Relevant historical transaction data

[1611] Step 5: The server extracts success stories

[1612] The server retrieves success stories related to the product name from the database, and extracts key points for successful transactions based on past success stories and track records of the product.

[1613] Input: Entered product name

[1614] Output: Product-related success story data

[1615] Step 6: The server recognizes the user's emotion

[1616] The server uses technologies such as voice analysis, facial recognition, and text analysis to recognize the user's current emotional state, and reflects this in subsequent data processing based on the recognized emotional state (e.g., positive, negative).

[1617] Input: Audio and video data showing emotional state

[1618] Output: Recognized emotional state of the user

[1619] Step 7: The server generates a recommended agenda

[1620] The server generates recommended trading agendas based on past trading data, success story data, and the user's emotional state. For example, if the user is in a positive emotional state, it generates an agenda including positive suggestions.

[1621] Inputs: Past trading data, success stories, emotional state

[1622] Output: Recommended trading agenda

[1623] Step 8: The server generates the relevant materials

[1624] The server generates relevant success stories and other supporting materials for the product and associates them with the recommended deal agenda, including presentation slides, data sheets, etc.

[1625] Input: Success story data, transaction agenda

[1626] Output: Related materials

[1627] Step 9: The server packages the agenda and materials

[1628] The server generates a package of the transaction agenda and related materials, which may be in PDF or multimedia file format.

[1629] Input: Transaction agenda, related documents

[1630] Output: Packaged data

[1631] Step 10: The server sends the results to the device

[1632] The server transmits the packaged transaction agenda and related materials to the terminal using the secure HTTP or HTTPS protocol.

[1633] Input: Packaged data

[1634] Output: Data is sent to the terminal

[1635] Step 11: The terminal displays the results

[1636] The terminal displays the transaction agenda and related materials sent from the server on the user interface, allowing the user to easily check the most suitable transaction agenda and related materials and use them in business negotiations.

[1637] Input: Submitted transaction agenda and related materials

[1638] Output: Data displayed in the user interface

[1639] (Application example 2)

[1640] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1641] In conventional sales document creation systems, sales documents and proposals are generic and do not adequately personalize based on the emotional state of each individual user. As a result, effective sales negotiations are often not possible, and improving the success rate of sales negotiations is an issue.

[1642] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1643] In this invention, the server includes means for a user to input information about a business negotiation, means for transmitting the input information and the user's emotional information to the server, means for searching a database for past business negotiation data and success stories, means for generating a recommended business negotiation agenda and related materials based on the search results and the emotional information, means for transmitting the generated agenda and materials to the user's terminal, means for displaying the agenda and materials transmitted to the terminal to the user, and means for analyzing the user's emotional state in real time and dynamically adjusting the content of proposals during the business negotiation. This makes it possible to provide an optimal business negotiation agenda and materials in real time that take the user's emotional state into consideration.

[1644] "Means for users to input information related to business negotiations" refers to an interface or device that allows users to input information related to business negotiations.

[1645] "Means for transmitting input information and user emotion information to the server" refers to communication means for transmitting negotiation information and emotion information input by the user to the server.

[1646] "Means for searching a database for past business negotiation data and success stories" refers to an algorithm or program for searching a database for past business negotiation data and success stories stored on a server.

[1647] "Means for generating recommended business meeting agendas and related materials based on search results and emotional information" refers to a system or program for generating optimal business meeting agendas and related materials based on search results of past data and user emotional information.

[1648] The "means for transmitting the generated agenda and materials to the user terminal" refers to a communication means for transmitting the generated business meeting agenda and related materials to the user terminal.

[1649] "Means for displaying to the user the agenda and materials transmitted to the terminal" refers to an interface or device for displaying the business meeting agenda and related materials transmitted to the user's terminal.

[1650] "Means for analyzing a user's emotional state in real time and dynamically adjusting proposal content during business negotiations" refers to a system or program that analyzes a user's emotional state in real time during business negotiations and dynamically changes the proposal content based on the results.

[1651] The present invention describes a system that analyzes user emotions in real time during business negotiations in a physical store and dynamically adjusts the content of the business negotiations. Specific implementation methods for this system are described below.

[1652] Basic configuration

[1653] The system consists of the following main means and devices:

[1654] 1. User Device

[1655] Smartphone

[1656] Smart Glasses

[1657] head-mounted display

[1658] 2. Server

[1659] Data analysis server

[1660] Emotion Recognition Engine

[1661] Agenda Generation Module

[1662] 3. Means of communication

[1663] Secure communication protocol using HTTP or HTTPS

[1664] System operation explanation

[1665] 1. User enters information about the opportunity

[1666] Users input information necessary for business negotiations using smartphones or smart glasses. The input information includes company information, product names, etc. Microphones and cameras are also used to capture emotional information from voice and facial expressions.

[1667] 2. Send the input information and user's emotional information to the server

[1668] The terminal collects the entered business negotiation information and emotional information and sends it to the server in a structured data format such as JSON.

[1669] 3. Data analysis and proposal generation by the server

[1670] The server performs the following processing based on the received business negotiation information and emotion information:

[1671] Database search: Search past sales data and success stories using company information and product names as criteria.

[1672] Emotion Recognition: Analyze user emotions in real time using voice, facial, and text analysis.

[1673] Recommended Agenda Generation: Generates the most appropriate meeting agenda based on sentiment and historical data. A positive sentiment generates an agenda with proactive suggestions, while a negative sentiment generates an agenda focused on support.

[1674] 4. Send the generated sales agenda and related materials

[1675] The server packages the generated business meeting agenda and related materials and sends them to the user's device using secure HTTP or HTTPS protocols.

[1676] 5. Display the agenda and materials sent to the device to the user

[1677] The business meeting agenda and related materials sent to the user terminal are displayed to the user through a dedicated application.

[1678] Examples and prompts

[1679] As a concrete example, consider a scenario in which a user inputs the following information and their emotional state is analyzed:

[1680] Company Name: Client A

[1681] Negotiation date: December 1, 2023

[1682] Product name: Product X

[1683] Emotional state: Positive

[1684] An example prompt for this scenario is:

[1685] Company Name: Client A

[1686] Negotiation date: December 1, 2023

[1687] Product name: Product X

[1688] Emotional state: Positive

[1689] This allows the server to generate a business meeting agenda and related materials, and provide optimal proposals to users in real time.By taking into account the user's emotional state, this system is expected to increase the success rate of business meetings.

[1690] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1691] Step 1:

[1692] User enters information about the opportunity

[1693] The user uses a device such as a smartphone or smart glasses to input basic information about the business negotiation (e.g., company name, negotiation date, product name, etc.). In addition, a microphone and a camera are used to capture voice data and facial expression data, which in turn captures emotional information.

[1694] Input: Company name, business negotiation date, product name, voice data, facial expression data

[1695] Output: Negotiation information (company name, negotiation date, product name), sentiment information

[1696] Specific operation: The user enters text information into an input form on the device, and captures voice and facial expressions using the device's microphone and camera.

[1697] Step 2:

[1698] The input information and user's emotional information are sent to the server

[1699] The terminal converts the business negotiation information entered by the user and the acquired emotional information into JSON format data and sends it to the server via the secure HTTP or HTTPS protocol.

[1700] Input: Negotiation information, sentiment information

[1701] Output: Send data to the server

[1702] Specific operation: The device converts the text input and captured voice and facial expression data into JSON format and sends it to the server endpoint using HTTPS.

[1703] Step 3:

[1704] Data analysis and proposal generation by the server

[1705] The server searches a database for past negotiation data and success stories based on the received negotiation information and emotional information. It then uses voice analysis, facial recognition, and text analysis to recognize the user's emotional state. Based on this, it generates an optimal negotiation agenda and related materials.

[1706] Input: Negotiation information, sentiment information

[1707] Output: Recommended agenda, related materials

[1708] Specific operation: The server executes an SQL query based on the business meeting information to retrieve relevant past data from the database, and performs sentiment analysis using the generative AI model. Based on the analysis results and past data, the business meeting agenda generation module generates the optimal agenda.

[1709] Step 4:

[1710] Send generated deal agendas and related materials

[1711] The server packages the generated business meeting agenda and related materials in an appropriate format and transmits them to the user's terminal using a secure communication protocol.

[1712] Input: Recommended agenda, related materials

[1713] Output: Data sent to the user's terminal

[1714] Specific operation: The server packages the recommended agenda and related materials in JSON format and sends it to the user's device using the HTTPS protocol.

[1715] Step 5:

[1716] Displaying the agenda and materials sent to the device to the user

[1717] The user terminal displays the received business meeting agenda and related materials in a dedicated application, and the user can proceed with the business meeting while looking at this.

[1718] Input: Data sent from the server (recommended agenda, related materials)

[1719] Output: Agenda and materials displayed on the user's screen

[1720] Specific operation: The terminal analyzes the received data and displays the business meeting agenda and related materials on the user interface of a dedicated application.

[1721] Step 6:

[1722] Analyzing the user's emotional state in real time and dynamically adjusting proposals during sales negotiations

[1723] The server analyzes the user's emotional state in real time during the negotiation and dynamically adjusts the proposal accordingly. To achieve this, the server utilizes an emotion recognition engine and transmits emotional information to the server as needed.

[1724] Input: Real-time emotional information (voice data, facial expression data)

[1725] Output: Updated opportunity agenda and proposal

[1726] Specific operation: During a sales meeting, the device continuously captures voice and facial expressions using a microphone and camera, and sends the captured data to the server. The server's emotion recognition engine analyzes the data and provides feedback to the sales meeting agenda generation module, dynamically adjusting the proposal content.

[1727] The above are the specific processing steps of the system that realizes the application example.

[1728] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1729] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1730] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1731] [Fourth embodiment]

[1732] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1733] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1734] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1735] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1736] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1737] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1738] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1739] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1740] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1741] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1742] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1743] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1744] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1745] The present invention relates to a system for improving the efficiency of creating business negotiation materials. This system automatically generates optimal business negotiation agendas and related materials and provides them to users simply by inputting the information required for business negotiations.

[1746] 1. Data Entry

[1747] The user uses the terminal to input information about the business deal, specifically the following information:

[1748] Agency name

[1749] Negotiation date

[1750] Product name

[1751] 2. Data Transmission

[1752] The terminal collects the business negotiation information entered by the user and sends it to the server in a structured data format such as JSON.

[1753] 3. Data analysis and proposal generation

[1754] The server receives the business negotiation information sent from the device. Based on the received information, it performs data analysis and generates proposals in the following steps:

[1755] 1. Searching historical data:

[1756] The server searches the database for past negotiation data related to the entered agency name and negotiation date, and obtains the past negotiation history through this search.

[1757] 2. Extraction of success stories:

[1758] The server extracts past success stories related to the input product name from the database, thereby obtaining success story data related to the product.

[1759] 3. Generate a recommended agenda:

[1760] The server generates a recommended sales meeting agenda based on the acquired past sales meeting data and success stories, such as product introduction, competitor comparison, implementation support, and Q&A session.

[1761] 4. Generate related materials:

[1762] The server generates success stories and other supporting materials related to the product and associates them with the sales agenda.

[1763] 5. Packaging the agenda and materials:

[1764] The server assembles the generated business meeting agenda and related materials into a single package.

[1765] 4. Sending and displaying results

[1766] The server packages the generated business meeting agenda and related materials and transmits the package to the terminal, which includes recommended agenda items and links and files of related materials.

[1767] The terminal receives the business meeting agenda and related materials package sent from the server and displays them on the user interface, allowing the user to easily check the most suitable business meeting agenda and related materials.

[1768] Specific examples

[1769] For example, if a user enters an agent named "Agency A," a sales negotiation date of "December 1, 2023," and a product name of "Product X," the system will perform the following process:

[1770] 1. User enters:

[1771] Agency name: Agency A

[1772] Negotiation date: December 1, 2023

[1773] Product Name: Product X

[1774] 2. The device sends the data to the server.

[1775] 3. The server searches historical data and best practices to generate the following recommended agenda and materials:

[1776] Suggested agenda:

[1777] 1. Product introduction

[1778] 2. Competitive Comparison

[1779] 3. Implementation support

[1780] 4. Q&A session

[1781] Related resources:

[1782] Product X success story ppt (link)

[1783] 4. The server sends the results to the device.

[1784] 5. The terminal displays the results to the user, who uses them as materials for business negotiations.

[1785] In this way, the present invention improves the efficiency of creating business negotiation materials, and enables users to easily prepare optimal business negotiation materials.

[1786] The processing flow will be explained below.

[1787] Step 1:

[1788] The user uses the terminal to input business negotiation information, including the agent name, the business negotiation date, and the product name. The input information is accepted through a specific input form or application.

[1789] Step 2:

[1790] The terminal collects the business negotiation information entered by the user and converts the data into an appropriate format (e.g., JSON format), which is then prepared to be sent to the server.

[1791] Step 3:

[1792] The device sends well-formed data to the server, typically using a standard communications protocol such as HTTP or HTTPS.

[1793] Step 4:

[1794] The server receives the business negotiation information sent from the terminal, and the received data is stored in the server's memory or temporary storage.

[1795] Step 5:

[1796] The server searches the database for past negotiation data based on the negotiation information. This search is performed using the entered agent name and negotiation date as conditions. The search query is executed against the database and the results are retrieved.

[1797] Step 6:

[1798] The server extracts success stories related to the product name from the database. This extraction is also performed based on conditions. For example, success stories related to the product name "Product X" are searched for.

[1799] Step 7:

[1800] The server generates a recommended agenda based on the acquired sales negotiation data and success stories. The generated agenda includes items such as product introductions, competitor comparisons, implementation support, and Q&A sessions. These items are generated based on pre-set templates.

[1801] Step 8:

[1802] The server generates a link to a success story related to the product, for example, a link to a success story ppt for product X.

[1803] Step 9:

[1804] The server compiles the generated recommended agenda and related materials into a single package, which is organized in a structured format such as JSON or XML.

[1805] Step 10:

[1806] The server sends the packaged business agenda and related materials to the terminal, again using HTTP or HTTPS protocol.

[1807] Step 11:

[1808] The device receives the package sent from the server, and the received data is stored in the device's memory or temporary storage.

[1809] Step 12:

[1810] The terminal displays the received business meeting agenda and related materials on a user interface, allowing the user to easily check the recommended agenda and related materials.

[1811] In this way, the system of the present invention significantly improves the efficiency of business negotiation preparation and quickly provides users with materials that allow them to conduct effective business negotiations.

[1812] Example 1

[1813] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1814] Creating sales meeting materials requires a great deal of time and effort. In particular, generating recommended agendas and related materials based on past sales meeting data and success stories is time-consuming and hinders efficient sales meeting preparation. There is a need for a system that can solve this problem and enable users to quickly and easily create optimal sales meeting materials.

[1815] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1816] In this invention, the server includes means for a user to input information about a business negotiation, means for transmitting the input information to the server, means for searching a database for past business negotiation data and success stories, means for generating a recommended business negotiation agenda and related materials based on the search results, means for transmitting the generated agenda and materials to the user's terminal, and means for displaying the agenda and materials transmitted to the terminal to the user. This allows a user to simply input the necessary business negotiation information and automatically obtain the optimal business negotiation agenda and related materials, significantly improving the efficiency of business negotiation preparation.

[1817] "Means for users to input information related to business negotiations" refers to hardware or software that provides an interface for users to input information related to business negotiations (e.g., agency name, business negotiation date, product name, etc.).

[1818] "Means for transmitting input information to a server" refers to hardware or software that provides the functionality to convert the business negotiation information input by the user into a data format (e.g., JSON format) and transmit it to a server via the Internet or other communication means.

[1819] "Means for searching past business negotiation data and success stories from a database" refers to hardware or software that provides the functionality for a server to search past business negotiation data and success stories stored in a database based on specific conditions (e.g., agency name or product name) and obtain the required data.

[1820] "Means for generating recommended meeting agendas and related materials based on search results" refers to hardware or software that provides the functionality to automatically generate recommended meeting agendas and related materials (e.g., presentation materials, PDF files, etc.) based on acquired past meeting data and success stories.

[1821] "Means for transmitting the generated agenda and materials to the user terminal" refers to hardware or software that provides the functionality to package the business meeting agenda and related materials generated on the server and transmit them to the terminal used by the user.

[1822] "Means for displaying to the user the agenda and materials sent to the terminal" refers to hardware or software that provides the functionality for the user terminal to display the business meeting agenda and related materials received from the server in a form that can be visually confirmed by the user.

[1823] "Means for searching based on agency information and product name" refers to hardware or software that provides the functionality for the server to search past sales negotiation data and success stories in the database based on the agency name and product name entered, and retrieve the relevant data.

[1824] "Means for packaging the generated recommended agenda and related materials and transmitting them from the server to the terminal" refers to hardware or software that provides the functionality to compile the business meeting agenda and related materials generated by the server into a single file or data package (e.g., a ZIP file) and transmit it to the user's terminal.

[1825] MODE FOR CARRYING OUT THE INVENTION

[1826] The present invention relates to a system for improving the efficiency of creating business negotiation materials. This system automatically generates optimal business negotiation agendas and related materials and provides them to the user simply by inputting the information required for the business negotiation. Specific embodiments of this system are described below.

[1827] 1. Data Entry

[1828] The user inputs business negotiation information through a terminal interface. This input interface is often implemented as a web application or mobile application. The user inputs, for example, the name of the agency, the date of the business negotiation, and the name of the product.

[1829] 2. Data Transmission

[1830] The device converts the information entered by the user into JSON format data and sends it to the server using standard protocols such as HTTP or HTTPS. At this stage, the device notifies the user that the transmission was successful.

[1831] 3. Data analysis and proposal generation

[1832] The server receives and parses the JSON data sent from the device. The server runs a backend implemented in Python, Node.js, etc., which performs the following processes:

[1833] 1. Searching historical data:

[1834] The server searches a database for past sales negotiation data related to the agent name and the sales negotiation date, which is often a relational database such as MySQL or PostgreSQL.

[1835] 2. Extraction of success stories:

[1836] The server extracts success stories related to the product name from the database. The success stories may be saved in formats such as Excel files or presentation materials.

[1837] 3. Generate a recommended agenda:

[1838] The server generates a recommended meeting agenda based on past meeting data and success stories, using a generative AI model to determine agenda items such as product introductions, competitor comparisons, implementation support, and Q&A sessions.

[1839] 4. Generate related materials:

[1840] The server generates success stories and other supporting materials related to the product and associates them with the sales agenda.

[1841] 5. Packaging the agenda and materials:

[1842] The server assembles the generated business meeting agenda and related materials into a package (eg, a ZIP file).

[1843] 4. Sending and displaying results

[1844] The server sends the generated package of business meeting agenda and related materials to the terminal, which displays the received content on the user interface. The user can check the displayed agenda and related materials.

[1845] Specific examples

[1846] For example, if a user enters "Agency A," "December 1, 2023," and "Product X," the system will do the following:

[1847] 1. User enters information:

[1848] Agency name: Agency A

[1849] Negotiation date: December 1, 2023

[1850] Product Name: Product X

[1851] 2. The device sends the data to the server.

[1852] 3. The server generates the following recommended agenda and materials:

[1853] Suggested agenda:

[1854] 1. Product introduction

[1855] 2. Competitive Comparison

[1856] 3. Implementation support

[1857] 4. Q&A session

[1858] Related resources:

[1859] Product X success story ppt (link)

[1860] 4. The server sends the results to the device.

[1861] 5. The terminal displays the results to the user, who uses them as materials for business negotiations.

[1862] Prompt Sentence Examples

[1863] Examples of prompts that the system can use to input the generative AI model are:

[1864] Generate a program for a sales meeting materials creation system. This system automatically generates the optimal sales meeting agenda and related materials based on the sales meeting information entered by the user. Sales meeting information includes the agency name, sales meeting date, and product name. Related materials include a link to a success story PowerPoint.

[1865] In this way, the present invention is a system that improves the efficiency of creating business negotiation materials and enables users to easily prepare optimal business negotiation materials.

[1866] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1867] Step 1:

[1868] The user enters the business negotiation information. The user enters the "agency name," "business negotiation date," and "product name" on the terminal interface. For example, the information entered is as follows:

[1869] Agency name: Agency A

[1870] Negotiation date: December 1, 2023

[1871] Product Name: Product X

[1872] The entered information is sent to the terminal.

[1873] Step 2:

[1874] The terminal sends data to the server. The terminal converts the information entered by the user into JSON format and sends it to the server via HTTP or HTTPS protocol. The data sent is in the following format:

[1875] json

[1876] {

[1877] "Agency Name": "Agency A",

[1878] "Negotiation date": "December 1, 2023",

[1879] "Product Name": "Product X"

[1880] }

[1881] The terminal confirms the completion of the transmission and displays a success message to the user.

[1882] Step 3:

[1883] The server receives and analyzes the data. The server parses the received JSON data and prepares to search the database for past sales negotiation data and success stories.

[1884] Step 4:

[1885] The server searches for past data. To retrieve past sales negotiation data, the server issues a search query to the database using the agent name "Agency A" and the sales negotiation date "December 1, 2023". For example, the retrieved data is in the following format:

[1886] json

[1887] {

[1888] "Opportunity ID": 123,

[1889] "Business details": "Emphasis on implementation support and Q&A sessions"

[1890] }

[1891] Step 5:

[1892] The server extracts success stories. The server extracts success stories from the database using the product name "Product X" as a condition. For example, the following success story data is obtained:

[1893] json

[1894] {

[1895] "Success case ID": 456,

[1896] "Key points for success": "Competitive comparison and implementation support were the deciding factors"

[1897] }

[1898] Step 6:

[1899] The server generates a recommended agenda. The server generates a recommended meeting agenda based on past meeting data and success stories. This process uses a generative AI model, and an agenda like the one below is generated:

[1900] Suggested agenda:

[1901] 1. Product introduction

[1902] 2. Competitive Comparison

[1903] 3. Implementation support

[1904] 4. Q&A session

[1905] Step 7:

[1906] The server generates related materials. The server generates success stories and supporting materials related to the product and associates them with the sales meeting agenda. Specifically, a ppt file link related to the success story of product X is generated:

[1907] Related resources:

[1908] Product X success story ppt (link)

[1909] Step 8:

[1910] The server packages the agenda and documents. The generated business meeting agenda and related documents are packaged together as a single package (e.g., a ZIP file).

[1911] Step 9:

[1912] The server sends the package to the terminal. The server sends the generated package of business meeting agenda and related materials to the terminal. The specific contents sent are as follows:

[1913] Package Includes:

[1914] Recommended Agenda (text or HTML format)

[1915] Related links and files

[1916] Step 10:

[1917] The terminal displays the results to the user. The terminal displays the agenda and materials received from the server on the user interface. The user can check the displayed agenda and related materials and use them as business negotiation materials.

[1918] (Application example 1)

[1919] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1920] Conventional sales document creation systems have the problem of making it difficult to efficiently prepare for sales meetings while on the move. In particular, there is a lack of safe ways to check and edit documents in autonomous vehicles, and they are unable to provide adequate support for sales representatives to efficiently prepare sales documents. It is necessary to solve this problem and significantly improve the efficiency of sales meeting preparation.

[1921] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1922] In this invention, the server includes a means for a user to input information about a business negotiation, a means for transmitting the input information to the server, a means for searching a database for past business negotiation data and success stories, and a means for displaying and editing the generated agenda and materials on the dashboard or head-up display of the autonomous vehicle, thereby enabling the user to efficiently check and edit business negotiation materials even while traveling to the business negotiation.

[1923] The "means by which the user inputs information related to the business negotiation" refers to a device or interface that allows the user to input information necessary for the business negotiation, such as agency information, the date of the business negotiation, and the name of the product.

[1924] The "means for transmitting input information to a server" refers to a function or protocol for transmitting the business negotiation information input by the user to a server via a network.

[1925] The "means for searching a database for past business negotiation data and success stories" refers to an algorithm or system for quickly searching a database for past business negotiation data and success stories based on input business negotiation information.

[1926] The "means for generating recommended business meeting agendas and related materials based on search results" is software for analyzing the searched data and automatically generating optimal business meeting agendas and related materials.

[1927] The "means for transmitting the generated agenda and materials to the user terminal" refers to a communication function or protocol for transmitting the generated business negotiation agenda and related materials to the user terminal.

[1928] The "means for displaying to the user the agenda and materials transmitted to the terminal" refers to software or an interface for visually displaying the business meeting agenda and related materials on the user terminal.

[1929] "Means for displaying and editing business documents on the dashboard or head-up display of an autonomous vehicle while traveling to a business meeting" refers to functions and tools for displaying and editing business documents via the dashboard or head-up display in an autonomous vehicle while traveling to a business meeting.

[1930] MODE FOR CARRYING OUT THE INVENTION

[1931] System Overview

[1932] This invention relates to a sales negotiation material creation support system that is installed on the dashboard or head-up display of an autonomous vehicle. The system automatically generates optimal sales negotiation agendas and related materials and provides them to the user simply by inputting information about the sales negotiation.

[1933] Hardware and software used

[1934] The system uses the following hardware and software:

[1935] 1. Frontend:

[1936] Autonomous vehicle dashboard or head-up display (HUD)

[1937] Front-end UI: HTML / CSS / JavaScript

[1938] 2. Backend:

[1939] Server: Any cloud server (e.g. AWS, Google Cloud)

[1940] Application framework: Flask or Django (Python)

[1941] Database: PostgreSQL or MySQL

[1942] 3. Communication:

[1943] Send and receive data using REST API

[1944] Data format: JSON

[1945] Explanation of program processing

[1946] The main parts of the system and their specific processing will be described below.

[1947] 1. User data input

[1948] The user uses the terminal (dashboard or HUD of the autonomous vehicle) to input information about the deal, such as the agency name, deal date, product name, etc. This data is collected through the front-end UI in the following format:

[1949] Agency name

[1950] Negotiation date

[1951] Product name

[1952] 2. Data Transmission

[1953] The input data is sent to the server as structured data (JSON format). The server receives the data and stores it in a database.

[1954] 3. Data analysis and document generation

[1955] The server does the following:

[1956] 1. Search for historical data:

[1957] Past business negotiation data related to the entered agency name and business negotiation date is searched from the database.

[1958] 2. Extraction of success stories:

[1959] Past success stories related to the entered product name are extracted from the database.

[1960] 3. Generate a recommended agenda:

[1961] Generate recommended meeting agendas based on past meeting data and success stories (e.g., product introductions, competitive comparisons, implementation support, Q&A sessions).

[1962] 4. Generate related materials:

[1963] Generate success stories and other supporting materials related to the product and associate them with the sales agenda.

[1964] 4. Data transmission and display

[1965] The server compiles the generated business meeting agenda and related materials into a single package and sends it back to the terminal in JSON format. The terminal analyzes the received data and displays the business meeting materials on a dashboard or HUD.

[1966] Specific examples

[1967] Usage example

[1968] 1. A user (salesperson) enters the following sales information from the dashboard inside the autonomous vehicle:

[1969] Agency name: Agency A

[1970] Negotiation date: December 1, 2023

[1971] Product Name: Product X

[1972] 2. This data is sent to the server, and the sales negotiation materials are generated.

[1973] 3. The server generates the following recommended agenda and related materials:

[1974] Suggested agenda:

[1975] 1. Product introduction

[1976] 2. Competitive Comparison

[1977] 3. Implementation support

[1978] 4. Q&A session

[1979] Related resources:

[1980] Product X success story ppt (link)

[1981] 4. The generated materials are displayed on the dashboard or HUD of the autonomous vehicle for the user to review.

[1982] Prompt Sentence Examples

[1983] To generate a sales document, please provide the following information:

[1984] Please enter the agency name, the date of the negotiation, and the product name.

[1985] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1986] Step 1:

[1987] The user uses a terminal (dashboard or head-up display of the autonomous vehicle) to input information about the deal, such as the agency name, the deal date, and the product name. The input data is prepared as structured JSON data through the user interface. The input data includes the following items:

[1988] Agency name

[1989] Negotiation date

[1990] Product name

[1991] Step 2:

[1992] The terminal sends the entered data to the server using an HTTP POST request, and the data is sent to the server in JSON format, which the server receives and stores in a database.

[1993] Input: Opportunity information in JSON format

[1994] Output: Notification of completion of data transmission to the server

[1995] Step 3:

[1996] The server searches the database for related past sales negotiation data and success stories. The server searches for past sales negotiation data based on the input agency name and sales negotiation date. The server also extracts success stories related to the input product name from the database.

[1997] Input: Opportunity data and success story search criteria from the database

[1998] Output: Search results and historical data and success stories

[1999] Step 4:

[2000] The server generates a recommended sales meeting agenda and related materials based on the searched data. Specifically, it analyzes past sales meeting data and success stories to generate a sales meeting agenda that includes product introductions, competitive comparisons, implementation support, and Q&A sessions. Related materials (e.g., success story presentations) are also created.

[2001] Input: Historical data and success stories as search results

[2002] Output: Suggested agenda and related materials

[2003] Step 5:

[2004] The server compiles the generated business meeting agenda and related materials into a single package and sends it to the terminal in JSON format. Data is sent from the server using an HTTP POST request.

[2005] Input: Suggested agenda and related materials

[2006] Output: Notification of completion of data transmission to the terminal

[2007] Step 6:

[2008] The device analyzes the received meeting agenda and related documents and displays them to the user, providing visual information through a dashboard or head-up display, allowing the user to review and edit the meeting documents.

[2009] Input: Suggested agenda and related materials from the server

[2010] Output: Display in the user interface

[2011] Specific examples

[2012] For example, if a user (salesperson) enters the following sales information on the dashboard of an autonomous vehicle:

[2013] Agency name: Agency A

[2014] Negotiation date: December 1, 2023

[2015] Product Name: Product X

[2016] This data is sent to a server, which searches past deal data and success stories to generate a recommended agenda and related materials, such as:

[2017] Suggested agenda:

[2018] 1. Product introduction

[2019] 2. Competitive Comparison

[2020] 3. Implementation support

[2021] 4. Q&A session

[2022] Related resources:

[2023] Product X success story ppt (link)

[2024] The generated materials are displayed on the dashboard or head-up display of the autonomous vehicle, where they can be viewed and edited by the user.

[2025] Prompt Sentence Examples

[2026] To generate a sales document, please provide the following information:

[2027] Please enter the agency name, the date of the negotiation, and the product name.

[2028] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[2029] This invention relates to a system that can conduct more effective business negotiations by improving the efficiency of creating business negotiation materials and combining it with an emotion engine that recognizes the user's emotions. This system not only automatically generates and provides the optimal business negotiation agenda and related materials to the user simply by the user inputting the information necessary for the business negotiation, but also adjusts the content of the materials taking the user's emotions into consideration.

[2030] 1. Data Entry

[2031] The user uses the terminal to input information about the business deal, including the following:

[2032] Agency name

[2033] Negotiation date

[2034] Product name

[2035] Users can also communicate their emotions using a microphone, camera, etc.

[2036] 2. Data Transmission

[2037] The device collects the sales negotiation information and emotion information entered by the user and sends it to the server in a structured data format such as JSON.

[2038] 3. Data analysis and proposal generation

[2039] The server receives the business negotiation information and emotion information sent from the device. Based on the received information, it performs data analysis and generates proposals in the following steps:

[2040] 1. Searching historical data:

[2041] The server searches the database for past negotiation data related to the entered agency name and negotiation date, and obtains the past negotiation history through this search.

[2042] 2. Extraction of success stories:

[2043] The server extracts past success stories related to the input product name from the database, thereby obtaining success story data related to the product.

[2044] 3. User Emotion Recognition:

[2045] The server analyzes the received emotional information to recognize the user's current emotional state, and determines whether the user's emotion is positive or negative using voice analysis, facial recognition, or text analysis.

[2046] 4. Generate a recommended agenda:

[2047] The server generates a recommended meeting agenda based on the acquired past meeting data and success stories, as well as the user's emotional state. For example, if the user is in a positive emotional state, the server generates an agenda with proactive suggestions, and if the user is in a negative emotional state, the server generates an agenda with a more supportive focus.

[2048] 5. Generate related materials:

[2049] The server generates success stories and other supporting materials related to the product and associates them with the sales agenda.

[2050] 6. Packaging the agenda and materials:

[2051] The server assembles the generated business meeting agenda and related materials into a single package.

[2052] 4. Sending and displaying results

[2053] The server then packages the generated meeting agenda and related materials and sends them to the terminal, typically using a secure protocol such as HTTP or HTTPS.

[2054] The terminal receives the business meeting agenda and related materials package sent from the server and displays them on the user interface, allowing the user to easily check the most suitable business meeting agenda and related materials.

[2055] Specific examples

[2056] For example, if a user inputs the name of the agent "Agency A," the date of the meeting "December 1, 2023," the name of the product "Product X," and indicates a positive emotional state, the system will:

[2057] 1. User enters:

[2058] Agency name: Agency A

[2059] Negotiation date: December 1, 2023

[2060] Product Name: Product X

[2061] Emotional state: Positive

[2062] 2. The device sends the data to the server.

[2063] 3. The server searches historical data and best practices to generate the following recommended agenda and materials:

[2064] Suggested agenda:

[2065] 1. Product introduction (including proactive proposals)

[2066] 2. Competitive Comparison

[2067] 3. Implementation support

[2068] 4. Q&A session

[2069] Related resources:

[2070] Product X success story ppt (link)

[2071] 4. The server sends the results to the device.

[2072] 5. The terminal displays the results to the user, who uses them as materials for business negotiations.

[2073] In this way, insights into user sentiment can be used to provide more personalized meeting agendas and materials, increasing the success rate of sales negotiations.

[2074] The processing flow will be explained below.

[2075] Step 1:

[2076] The user uses the terminal to input business negotiation information (agency name, business negotiation date, product name), and also performs voice input and camera facial recognition to recognize the user's emotions.

[2077] Step 2:

[2078] The device collects the sales information and sentiment data entered by the user and converts it into JSON format, which is then ready to be sent to the server.

[2079] Step 3:

[2080] The device sends well-formatted business negotiation information data and emotion data to the server, typically using a secure communication protocol such as HTTPS.

[2081] Step 4:

[2082] The server receives the business negotiation information data and emotion data sent from the device, and the received data is stored in the server's memory or temporary storage.

[2083] Step 5:

[2084] The server runs an SQL query to retrieve past sales data from the database based on the sales information. This query is based on the provided agent name and sales date. For example:

[2085] sql

[2086] SELECT FROM Negotiation History WHERE Agency Name = 'Agency A' AND Negotiation Date = '2023-12-01';

[2087] The search results are retrieved.

[2088] Step 6:

[2089] The server runs an SQL query to extract success stories related to the product name from the database. This query is based on the product name entered. For example:

[2090] sql

[2091] SELECT FROM Success Stories WHERE Product Name = 'Product X';

[2092] The extraction results are obtained.

[2093] Step 7:

[2094] The server analyzes the received emotion data and recognizes the user's current emotional state (positive or negative). The emotion engine uses voice analysis, facial recognition, or text analysis.

[2095] Step 8:

[2096] The server generates a recommended agenda based on past business negotiation data and success case data. The content of the agenda changes dynamically, taking into account the user's emotional state. For example, if the user is positive, the server generates an agenda with more positive suggestions.

[2097] Step 9:

[2098] The server generates a link to a document of a success story related to the product. For example, it creates a link to "Product X success story ppt."

[2099] Step 10:

[2100] The server assembles the generated recommended agenda and related materials into a package, which is structured in JSON or XML format.

[2101] Step 11:

[2102] The server transmits the packaged business meeting agenda and related materials to the terminal, also using the HTTPS protocol.

[2103] Step 12:

[2104] The terminal receives the package sent from the server and stores it in memory or temporary storage.

[2105] Step 13:

[2106] The terminal displays the received business meeting agenda and related materials on a user interface, allowing the user to check the recommended agenda and related materials and use them as business meeting materials.

[2107] In this way, the system of the present invention significantly improves the efficiency of business negotiation preparation and provides personalized materials that take into account the user's emotions, thereby realizing effective business negotiations.

[2108] Example 2

[2109] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[2110] Conventional transaction support systems provide a function where users input the information necessary for negotiations and generate transaction agendas and related materials based on past transaction data and success stories. However, these systems cannot take the user's emotions into consideration, making it difficult to generate personalized transaction agendas and materials that reflect the user's emotions. Furthermore, if the generated agendas and materials do not match the user's current state of mind or transaction situation, the effectiveness of the negotiations may be reduced.

[2111] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for a user to input information about a transaction, a means for transmitting the input information to the server, a means for searching a database for past transaction data and success stories, a means for generating a recommended transaction agenda and related materials based on the search results, a means for recognizing the user's emotions and adjusting the transaction agenda and materials based on the emotions, a means for transmitting the generated agenda and materials to the user terminal, and a means for displaying the agenda and materials transmitted to the terminal to the user. This makes it possible to generate a personalized transaction agenda and materials that take the user's emotions into consideration, thereby increasing the success rate of business negotiations.

[2112] A "user" is an entity that uses the system to input transaction information.

[2113] A "transaction" is a series of business activities, including business negotiations, commercial negotiations, and sales activities.

[2114] "Information" refers to the data and knowledge necessary for a transaction, including agent information, transaction date and time, product name, etc.

[2115] A "means" is a method, device, or component of a system for achieving a specific purpose.

[2116] An "input means" is a device or method (e.g., keyboard, mouse, voice input device) that a user uses to provide information to a system.

[2117] "Transmission means" refers to a communication method or device (e.g., the Internet, wireless communication) for transmitting input information to the server.

[2118] A "server" is a computer system that stores, processes, and analyzes data.

[2119] A "database" is an information system for systematically storing and managing large amounts of data.

[2120] A "search tool" is software or algorithm used to find specific information in a database.

[2121] A "deal agenda" is the content or topics of discussion to be discussed in a business negotiation or transaction.

[2122] "Related Materials" means supporting information or documents (e.g., presentation slides, data sheets) related to the transaction agenda.

[2123] "Emotion recognition means" refers to technology (e.g., voice analysis, face recognition system) for analyzing a user's emotions and determining their emotional state.

[2124] "Packaging" is the process of combining multiple agenda items or materials into one.

[2125] A "user terminal" is a device such as a computer or smartphone that is directly operated by a user.

[2126] "Display means" refers to the method or technology (e.g., display, monitor) for visually presenting the agenda and materials to the user terminal.

[2127] This invention relates to a system that enables more effective business negotiations by streamlining the creation of business negotiation materials and combining it with an emotion engine that recognizes the user's emotions. This system not only automatically generates optimal business agendas and related materials and provides them to the user simply by the user inputting the information necessary for the transaction, but also adjusts the content of the materials taking the user's emotional state into consideration.

[2128] 1. Data Entry

[2129] The user uses a terminal to input information about the transaction, such as the agent's name, the transaction date, and the product name. The user can also input their emotional state using a microphone or camera, which allows the system to understand the user's current emotional state.

[2130] 2. Data Transmission

[2131] The terminal collects transaction information and sentiment information entered by the user and sends it to the server as structured data (e.g., JSON format). The data is appropriately protected using secure transmission protocols such as HTTP or HTTPS.

[2132] 3. Data analysis and proposal generation

[2133] The server analyzes the received transaction information and sentiment information and processes the data in the following steps:

[2134] Search historical data:

[2135] The server searches the database for past transaction data related to the entered agent name and transaction date.

[2136] Success stories extracted:

[2137] The server extracts past success stories related to the input product name from a database.

[2138] User Emotion Recognition:

[2139] The server analyzes the received emotional information and recognizes the user's current emotional state using voice analysis, face recognition, and text analysis.

[2140] Generate a suggested agenda:

[2141] The server generates a recommended trading agenda based on the acquired past trading data and success stories, as well as the user's emotional state. For example, if the user is in a positive emotional state, the server generates an agenda including positive suggestions.

[2142] Generate related materials:

[2143] The server generates success stories and other supporting materials related to the product and associates them with the transaction agenda.

[2144] Packaging the agenda and materials:

[2145] The server assembles the generated business agenda and related materials into a package.

[2146] 4. Sending and displaying results

[2147] The server sends the generated transaction agenda and related materials package to the user's terminal, which displays the transaction agenda and related materials sent from the server on its user interface. This allows the user to easily check the optimal transaction agenda and related materials and use them in business negotiations.

[2148] Specific examples

[2149] For example, if a user enters the following information:

[2150] "Agency name: Agent A, Transaction date: December 1, 2023, Product name: Product X, Emotional state: Positive"

[2151] Based on this data, the device sends the information to the server, which generates the following recommended agenda and related materials:

[2152] "Suggested Agenda:

[2153] 1. Product introduction (including proactive proposals)

[2154] 2. Competitive Comparison

[2155] 3. Implementation support

[2156] 4. Q&A session

[2157] Related resources:

[2158] Product X success story ppt (link)

[2159] This is sent to the terminal, which displays it on the user interface.

[2160] Example prompt sentence:

[2161] "Generate a sales agenda and materials. Agency name: Agency A, Transaction execution date: December 1, 2023, Product name: Product X, Sentiment state: Positive"

[2162] This system enables the generation of personalized deal agendas and materials that take into account the user's emotions, thereby increasing the success rate of business negotiations.

[2163] The flow of the identification process in the second embodiment will be described with reference to FIG.

[2164] Step 1: User Enters Information

[2165] The user uses the terminal to input information about the transaction. Specifically, the user inputs information such as the agent's name, transaction date, and product name using a keyboard or touch screen. The user also uses a microphone and camera to input their emotional state (e.g., positive or negative) as audio or video data.

[2166] Input: Information including agent name, transaction date, product name, and emotional state

[2167] Output: Input information is saved on the device

[2168] Step 2: The device sends the data to the server

[2169] The device sends the information entered in step 1 to the server as structured data in JSON format or similar. The secure HTTP or HTTPS protocol is used for communication.

[2170] Input: User-supplied structured data in JSON format

[2171] Output: Data is sent to the server

[2172] Step 3: The server receives and parses the data

[2173] The server receives the data sent from the device. This data includes the agent name, transaction date, product name, and emotional state. Based on this, the server analyzes the necessary information and processes each data element separately.

[2174] Input: Structured data sent from the terminal

[2175] Output: Parsed data elements (agency name, transaction date, product name, emotional state)

[2176] Step 4: The server searches for historical data

[2177] The server searches the database for relevant past transaction data based on the agent name and transaction date, for example, extracting transaction history with the same agent or transaction data close to the specified transaction date.

[2178] Input: Parsed agency name, transaction execution date

[2179] Output: Relevant historical transaction data

[2180] Step 5: The server extracts success stories

[2181] The server retrieves success stories related to the product name from the database, and extracts key points for successful transactions based on past success stories and track records of the product.

[2182] Input: Entered product name

[2183] Output: Product-related success story data

[2184] Step 6: The server recognizes the user's emotion

[2185] The server uses technologies such as voice analysis, facial recognition, and text analysis to recognize the user's current emotional state, and reflects this in subsequent data processing based on the recognized emotional state (e.g., positive, negative).

[2186] Input: Audio and video data showing emotional state

[2187] Output: Recognized emotional state of the user

[2188] Step 7: The server generates a recommended agenda

[2189] The server generates recommended trading agendas based on past trading data, success story data, and the user's emotional state. For example, if the user is in a positive emotional state, it generates an agenda including positive suggestions.

[2190] Inputs: Past trading data, success stories, emotional state

[2191] Output: Recommended trading agenda

[2192] Step 8: The server generates the relevant materials

[2193] The server generates relevant success stories and other supporting materials for the product and associates them with the recommended deal agenda, including presentation slides, data sheets, etc.

[2194] Input: Success story data, transaction agenda

[2195] Output: Related materials

[2196] Step 9: The server packages the agenda and materials

[2197] The server generates a package of the transaction agenda and related materials, which may be in PDF or multimedia file format.

[2198] Input: Transaction agenda, related documents

[2199] Output: Packaged data

[2200] Step 10: The server sends the results to the device

[2201] The server transmits the packaged transaction agenda and related materials to the terminal using the secure HTTP or HTTPS protocol.

[2202] Input: Packaged data

[2203] Output: Data is sent to the terminal

[2204] Step 11: The terminal displays the results

[2205] The terminal displays the transaction agenda and related materials sent from the server on the user interface, allowing the user to easily check the most suitable transaction agenda and related materials and use them in business negotiations.

[2206] Input: Submitted transaction agenda and related materials

[2207] Output: Data displayed in the user interface

[2208] (Application example 2)

[2209] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[2210] In conventional sales document creation systems, sales documents and proposals are generic and do not adequately personalize based on the emotional state of each individual user. As a result, effective sales negotiations are often not possible, and improving the success rate of sales negotiations is an issue.

[2211] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[2212] In this invention, the server includes means for a user to input information about a business negotiation, means for transmitting the input information and the user's emotional information to the server, means for searching a database for past business negotiation data and success stories, means for generating a recommended business negotiation agenda and related materials based on the search results and the emotional information, means for transmitting the generated agenda and materials to the user's terminal, means for displaying the agenda and materials transmitted to the terminal to the user, and means for analyzing the user's emotional state in real time and dynamically adjusting the content of proposals during the business negotiation. This makes it possible to provide an optimal business negotiation agenda and materials in real time that take the user's emotional state into consideration.

[2213] "Means for users to input information related to business negotiations" refers to an interface or device that allows users to input information related to business negotiations.

[2214] "Means for transmitting input information and user emotion information to the server" refers to communication means for transmitting negotiation information and emotion information input by the user to the server.

[2215] "Means for searching a database for past business negotiation data and success stories" refers to an algorithm or program for searching a database for past business negotiation data and success stories stored on a server.

[2216] "Means for generating recommended business meeting agendas and related materials based on search results and emotional information" refers to a system or program for generating optimal business meeting agendas and related materials based on search results of past data and user emotional information.

[2217] The "means for transmitting the generated agenda and materials to the user terminal" refers to a communication means for transmitting the generated business meeting agenda and related materials to the user terminal.

[2218] "Means for displaying to the user the agenda and materials transmitted to the terminal" refers to an interface or device for displaying the business meeting agenda and related materials transmitted to the user's terminal.

[2219] "Means for analyzing a user's emotional state in real time and dynamically adjusting proposal content during business negotiations" refers to a system or program that analyzes a user's emotional state in real time during business negotiations and dynamically changes the proposal content based on the results.

[2220] The present invention describes a system that analyzes user emotions in real time during business negotiations in a physical store and dynamically adjusts the content of the business negotiations. Specific implementation methods for this system are described below.

[2221] Basic configuration

[2222] The system consists of the following main means and devices:

[2223] 1. User Device

[2224] Smartphone

[2225] Smart Glasses

[2226] head-mounted display

[2227] 2. Server

[2228] Data analysis server

[2229] Emotion Recognition Engine

[2230] Agenda Generation Module

[2231] 3. Means of communication

[2232] Secure communication protocol using HTTP or HTTPS

[2233] System operation explanation

[2234] 1. User enters information about the opportunity

[2235] Users input information necessary for business negotiations using smartphones or smart glasses. The input information includes company information, product names, etc. Microphones and cameras are also used to capture emotional information from voice and facial expressions.

[2236] 2. Send the input information and user's emotional information to the server

[2237] The terminal collects the entered business negotiation information and emotional information and sends it to the server in a structured data format such as JSON.

[2238] 3. Data analysis and proposal generation by the server

[2239] The server performs the following processing based on the received business negotiation information and emotion information:

[2240] Database search: Search past sales data and success stories using company information and product names as criteria.

[2241] Emotion Recognition: Analyze user emotions in real time using voice, facial, and text analysis.

[2242] Recommended Agenda Generation: Generates the most appropriate meeting agenda based on sentiment and historical data. A positive sentiment generates an agenda with proactive suggestions, while a negative sentiment generates an agenda focused on support.

[2243] 4. Send the generated sales agenda and related materials

[2244] The server packages the generated business meeting agenda and related materials and sends them to the user's device using secure HTTP or HTTPS protocols.

[2245] 5. Display the agenda and materials sent to the device to the user

[2246] The business meeting agenda and related materials sent to the user terminal are displayed to the user through a dedicated application.

[2247] Examples and prompts

[2248] As a concrete example, consider a scenario in which a user inputs the following information and their emotional state is analyzed:

[2249] Company Name: Client A

[2250] Negotiation date: December 1, 2023

[2251] Product name: Product X

[2252] Emotional state: Positive

[2253] An example prompt for this scenario is:

[2254] Company Name: Client A

[2255] Negotiation date: December 1, 2023

[2256] Product name: Product X

[2257] Emotional state: Positive

[2258] This allows the server to generate a business meeting agenda and related materials, and provide optimal proposals to users in real time.By taking into account the user's emotional state, this system is expected to increase the success rate of business meetings.

[2259] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[2260] Step 1:

[2261] User enters information about the opportunity

[2262] The user uses a device such as a smartphone or smart glasses to input basic information about the business negotiation (e.g., company name, negotiation date, product name, etc.). In addition, a microphone and a camera are used to capture voice data and facial expression data, which in turn captures emotional information.

[2263] Input: Company name, business negotiation date, product name, voice data, facial expression data

[2264] Output: Negotiation information (company name, negotiation date, product name), sentiment information

[2265] Specific operation: The user enters text information into an input form on the device, and captures voice and facial expressions using the device's microphone and camera.

[2266] Step 2:

[2267] The input information and user's emotional information are sent to the server

[2268] The terminal converts the business negotiation information entered by the user and the acquired emotional information into JSON format data and sends it to the server via the secure HTTP or HTTPS protocol.

[2269] Input: Negotiation information, sentiment information

[2270] Output: Send data to the server

[2271] Specific operation: The device converts the text input and captured voice and facial expression data into JSON format and sends it to the server endpoint using HTTPS.

[2272] Step 3:

[2273] Data analysis and proposal generation by the server

[2274] The server searches a database for past negotiation data and success stories based on the received negotiation information and emotional information. It then uses voice analysis, facial recognition, and text analysis to recognize the user's emotional state. Based on this, it generates an optimal negotiation agenda and related materials.

[2275] Input: Negotiation information, sentiment information

[2276] Output: Recommended agenda, related materials

[2277] Specific operation: The server executes an SQL query based on the business meeting information to retrieve relevant past data from the database, and performs sentiment analysis using the generative AI model. Based on the analysis results and past data, the business meeting agenda generation module generates the optimal agenda.

[2278] Step 4:

[2279] Send generated deal agendas and related materials

[2280] The server packages the generated business meeting agenda and related materials in an appropriate format and transmits them to the user's terminal using a secure communication protocol.

[2281] Input: Recommended agenda, related materials

[2282] Output: Data sent to the user's terminal

[2283] Specific operation: The server packages the recommended agenda and related materials in JSON format and sends it to the user's device using the HTTPS protocol.

[2284] Step 5:

[2285] Displaying the agenda and materials sent to the device to the user

[2286] The user terminal displays the received business meeting agenda and related materials in a dedicated application, and the user can proceed with the business meeting while looking at this.

[2287] Input: Data sent from the server (recommended agenda, related materials)

[2288] Output: Agenda and materials displayed on the user's screen

[2289] Specific operation: The terminal analyzes the received data and displays the business meeting agenda and related materials on the user interface of a dedicated application.

[2290] Step 6:

[2291] Analyzing the user's emotional state in real time and dynamically adjusting proposals during sales negotiations

[2292] The server analyzes the user's emotional state in real time during the negotiation and dynamically adjusts the proposal accordingly. To achieve this, the server utilizes an emotion recognition engine and transmits emotional information to the server as needed.

[2293] Input: Real-time emotional information (voice data, facial expression data)

[2294] Output: Updated opportunity agenda and proposal

[2295] Specific operation: During a sales meeting, the device continuously captures voice and facial expressions using a microphone and camera, and sends the captured data to the server. The server's emotion recognition engine analyzes the data and provides feedback to the sales meeting agenda generation module, dynamically adjusting the proposal content.

[2296] The above are the specific processing steps of the system that realizes the application example.

[2297] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[2298] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[2299] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[2300] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[2301] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[2302] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[2303] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[2304] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[2305] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[2306] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[2307] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[2308] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[2309] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[2310] 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.

[2311] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[2312] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[2313] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[2314] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[2315] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[2316] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[2317] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[2318] The following is further disclosed regarding the above embodiment.

[2319] (Claim 1)

[2320] a means for a user to input information about a business opportunity;

[2321] means for transmitting the input information to a server;

[2322] A means of searching the database for past business negotiation data and success stories;

[2323] a means for generating recommended deal agendas and related materials based on the search results;

[2324] means for transmitting the generated agenda and materials to a user terminal;

[2325] means for displaying the agenda and materials transmitted to the terminal to the user;

[2326] A system including:

[2327] (Claim 2)

[2328] 2. The system according to claim 1, further comprising means for searching for past business negotiation data and success stories using agency information and product names as search conditions.

[2329] (Claim 3)

[2330] 2. The system of claim 1, further comprising means for packaging the generated recommended agenda and related materials and transmitting the same from the server to the terminal.

[2331] "Example 1"

[2332] (Claim 1)

[2333] a means for a user to input information about a business opportunity;

[2334] means for transmitting the input information to a server;

[2335] A means of searching the database for past business negotiation data and success stories;

[2336] a means for generating recommended deal agendas and related materials based on the search results;

[2337] means for transmitting the generated agenda and materials to a user terminal;

[2338] means for displaying the agenda and materials transmitted to the terminal to the user;

[2339] A system including:

[2340] (Claim 2)

[2341] 2. The system according to claim 1, further comprising means for searching for past business negotiation data and success stories using agency information and product names as search conditions.

[2342] (Claim 3)

[2343] 2. The system of claim 1, further comprising means for packaging the generated recommended agenda and related materials and transmitting the same from the server to the terminal.

[2344] "Application Example 1"

[2345] (Claim 1)

[2346] a means for a user to ...

Claims

1. a means for a user to input information about a business opportunity; means for transmitting the input information to a server; A means of searching the database for past business negotiation data and success stories; a means for generating recommended deal agendas and related materials based on the search results; means for transmitting the generated agenda and materials to a user terminal; means for displaying the agenda and materials transmitted to the terminal to the user; A system including:

2. 2. The system according to claim 1, further comprising means for searching for past business negotiation data and success stories using agent information and product names as search conditions.

3. 2. The system according to claim 1, further comprising means for packaging the generated recommended agenda and related materials and transmitting the same from the server to the terminal.

Images