system

Abstract

Provide a system. [Solution] a user interface means for inputting event information for a plurality of commercial facilities; a database means for accumulating the event information; analysis means for analyzing the event information stored in the database; an algorithm means for optimizing an event plan based on the results of the analysis by the analysis means; The system includes a display means for presenting the optimized event plan to a user.

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] Currently, when events are held across multiple commercial facilities, it is often difficult to plan effective events because each store relies on its own judgment and experience. Furthermore, holding similar events over and over again can lead to customers feeling bored, making it necessary to differentiate from surrounding stores. Under these circumstances, a system is needed to plan and implement more effective and fresh events. [Means for solving the problem]

[0005] The present invention provides a system including a user interface for inputting event information for multiple commercial facilities, a database for accumulating the event information, an analysis for analyzing the event information stored in the database, an algorithm for optimizing an event plan based on the results of the analysis by the analysis, and a display for presenting the optimized event plan to a user. This system allows for the creation of an effective event plan that takes into account past event data and surrounding event conditions, thereby increasing the effectiveness of the event and preventing customers from becoming bored with the same routine.

[0006] "Commercial facilities" refers to facilities such as stores, shopping malls, and department stores that offer goods and services.

[0007] "Event information" refers to information about events and special projects held at each commercial facility, and specifically includes the event name, date and time, target customer demographic, budget, required personnel, and the like.

[0008] "User interface" refers to the interface through which a user inputs information into a system and through which the system receives that information.

[0009] A "database" refers to a system for efficiently storing, managing, and searching large amounts of data.

[0010] "Analysis means" refers to methods and tools for analyzing data stored in a database and extracting useful information from that data.

[0011] An "algorithm" refers to a set of computational steps or rules used to analyze data or solve problems.

[0012] "Optimization" refers to adjusting a system or process to achieve the best results under specific conditions.

[0013] "Display means" refers to the method or tool (e.g., monitor, display, printout, etc.) used to visually present information or results generated by the system to the user. [Brief explanation of the drawings]

[0014] [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 illustrating 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

[0015] 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.

[0016] First, the terms used in the following description will be explained.

[0017] 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).

[0018] 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.

[0019] 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.

[0020] 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.

[0021] 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."

[0022] [First embodiment]

[0023] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0024] 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.

[0025] 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).

[0026] 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.

[0027] 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.

[0028] 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.

[0029] 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.

[0030] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0031] 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.

[0032] 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.

[0033] 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.

[0034] 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."

[0035] The present invention is a system that collects event information from multiple commercial facilities, analyzes and optimizes it, and provides effective event plans. Specific embodiments of this system are described below.

[0036] System configuration

[0037] This system consists of a terminal for users to input event information, a server that stores and manages the data, an algorithm that analyzes the data, and an interface that displays the optimized event plan.

[0038] 1. Data Entry

[0039] The user inputs event information (e.g., store name, event name, start date, customer demographics, budget, and staffing) into the terminal.

[0040] The terminal checks the integrity of the information entered and verifies that there are no errors.

[0041] After verification, the terminal transmits the data to the server.

[0042] 2. Data Receipt and Storage

[0043] The server receives the data sent from the terminal and stores it in a database.

[0044] The database also includes information on past events, allowing for comprehensive data management.

[0045] 3. Data Preprocessing

[0046] The server preprocesses the stored data, specifically standardizing date formats and filling in missing data.

[0047] The preprocessed data is organized into analytical sets and temporarily stored.

[0048] 4. Data Analysis

[0049] The server uses analytical means to compare the event with past event data and surrounding event information to evaluate its effectiveness.

[0050] Specifically, metrics such as number of participants, sales, and customer response will be used.

[0051] 5. Running the optimization algorithm

[0052] The server runs an algorithm to optimize the event plan, taking into account past success stories and event information from nearby stores.

[0053] Generate new ideas and approaches to avoid getting stuck in a rut.

[0054] 6. Generating an optimized plan

[0055] The server generates a specific event plan based on the results of the optimization algorithm.

[0056] The plan includes types of activities, promotional methods, decoration ideas, and more.

[0057] 7. Data Presentation

[0058] The server transmits the optimized event plan to the terminal.

[0059] The terminal displays the optimization plan to the user.

[0060] The user reviews this plan and makes any necessary corrections or adjustments.

[0061] Specific examples

[0062] Data Entry

[0063] As an example, consider the data for the "Christmas fair held at the Tokyo branch."

[0064] The user enters the following information into the terminal: "Tokyo branch, Christmas fair, starting December 1, 2023, ages 20-40, budget 1 million yen, staff 5."

[0065] The terminal transmits the data to the server.

[0066] Data reception and storage

[0067] The server receives this data and stores it in a database.

[0068] Data Preprocessing

[0069] The server will unify the date format and fill in any missing data.

[0070] Data analysis

[0071] The server compares the current input data with past "Christmas Fair" data, and also references data from nearby branches in Yokohama and Osaka.

[0072] Running the optimization algorithm

[0073] The server takes into consideration past success stories and popular events at nearby stores to generate the optimal event plan.

[0074] Data presentation

[0075] The server sends the generated plan to the terminal, which displays it to the user.

[0076] The user checks the displayed plan and makes corrections as necessary.

[0077] In this way, the system provides an optimized event plan based on the user's input data. Specific operational procedures and application examples can be adjusted in detail as needed to accommodate a variety of events.

[0078] The processing flow will be explained below.

[0079] Step 1:

[0080] The user inputs event information into the terminal, including the store name, event name, start date, customer demographics, budget, and staffing.

[0081] Step 2:

[0082] The terminal checks the format of the entered data and verifies that there are no data entry errors, for example, validating date formats and numeric entries.

[0083] Step 3:

[0084] The device sends the verified data to the server, structured in a basic format (e.g., JSON, XML).

[0085] Step 4:

[0086] The server receives the data sent from the device and stores it in a database in a secure manner.

[0087] Step 5:

[0088] The server preprocesses the data stored in the database, including standardizing date formats and filling in missing data.

[0089] Step 6:

[0090] The server then uses the pre-processed data to perform an analysis, comparing it with past event data and event information from other stores, evaluating metrics such as attendance, sales, and customer response.

[0091] Step 7:

[0092] The server then runs an optimization algorithm based on the analysis results, which takes into account past success stories and information from competitors to generate an effective event plan.

[0093] Step 8:

[0094] The server generates an optimized event plan, which includes specific activity types, promotion methods, decoration ideas, etc.

[0095] Step 9:

[0096] The server sends the generated optimization plan to the device, where the data is converted into a user-friendly format.

[0097] Step 10:

[0098] The device displays the optimized event plan to the user, who can review the plan and make corrections or adjustments as needed.

[0099] The above is a detailed processing flow of this system, which allows users to easily utilize effective and fresh event plans.

[0100] Example 1

[0101] 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."

[0102] Conventional event planning systems have the problem of not being able to adequately check the consistency of event information or compare it with past event data, making it difficult to plan effective events. It is also difficult to generate new ideas and effectively optimize events to prevent them from becoming stale.

[0103] 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.

[0104] In this invention, the server includes a user interface means for a user to input event information, a verification means for checking the consistency of the event information, a database means for accumulating the event information, a preprocessing means for preprocessing the event information stored in the database, an analysis means for analyzing the event information and past event information, an algorithm means for optimizing an event plan based on the results of the analysis by the analysis means, and a display means for presenting the optimized event plan to the user, thereby enabling consistent event information management, effective event plan optimization based on past data, and new idea generation.

[0105] The "user interface means" is a function that provides an interface for the user to input event information.

[0106] The "verification means" is a function that checks the consistency of the input event information and verifies whether the format is correct.

[0107] The "database means" is a function for accumulating event information and storing it in a database.

[0108] The "preprocessing means" is a function for preprocessing the saved event information, standardizing the data format, and complementing missing data.

[0109] The "analysis means" is a function for comparing and analyzing event information with past event information and evaluating its effectiveness.

[0110] The "algorithm means" is a function for optimizing an event plan based on the analysis results and generating an effective event plan.

[0111] The "display means" is a function that provides the optimized event plan to the user and displays it so that the user can check and modify it.

[0112] MODE FOR CARRYING OUT THE INVENTION

[0113] The present invention is a system that collects event information from multiple commercial facilities, analyzes and optimizes it, and provides effective event plans. Specific embodiments of this system are described below.

[0114] System configuration

[0115] This system consists of a terminal for users to input event information, a server that stores and manages the data, an algorithm that analyzes the data, and an interface that displays the optimized event plan.

[0116] User Interface Means

[0117] The user starts the system and inputs event information into the terminal through the user interface means. Specific input items include the store name, event name, start date, customer demographics, budget, and staffing.

[0118] Examples:

[0119] The user enters the following information into the terminal: "Tokyo branch, Christmas fair, starting December 1, 2023, ages 20-40, budget 1 million yen, staff 5."

[0120] Verification Method

[0121] The terminal checks the integrity of the entered data and verifies that it is in the correct format. Based on the results of the validation, it may display an error message to prompt the user to make corrections.

[0122] Examples:

[0123] The terminal may display an error message stating "Start date format is invalid."

[0124] Database Means

[0125] Once verification is complete, the device sends the event information to the server, which then stores it in a database. The database also includes information on past events, enabling comprehensive data management.

[0126] Pretreatment means

[0127] The server preprocesses the stored data, including standardizing date formats and filling in missing data. The preprocessed data is temporarily saved as a set for analysis.

[0128] Examples:

[0129] The server unifies the date format "December 1, 2023" to the standard format "YYYY-MM-DD" and fills in the missing data.

[0130] Analysis means

[0131] The server uses analytical means to compare the event information with past event information, specifically using metrics such as the number of attendees, sales, and customer reactions to compare with past data.

[0132] Examples:

[0133] The server extracts data on Christmas fairs from the past five years and calculates the average number of attendees. It also references event data from nearby stores.

[0134] Algorithmic Means

[0135] The server runs an algorithm that optimizes the event plan, taking into account past success stories and information about events at nearby stores. The algorithm generates new ideas and approaches to avoid becoming repetitive.

[0136] Display means

[0137] The server sends the optimized event plan to the terminal, which displays the optimized plan to the user, who can review the displayed plan and make corrections or adjustments as necessary.

[0138] Examples:

[0139] The server sends the generated event plan to the terminal, and the terminal provides the user with a screen showing the "Christmas Fair Plan." The user then makes a minor adjustment, such as "I want to change only the budget to 500,000 yen."

[0140] Examples of prompts for generative AI models

[0141] "Using event information from nearby commercial facilities, we would like you to suggest optimal promotional methods and decoration ideas for a Christmas fair targeting people in their 20s to 40s."

[0142] In this way, the system provides an optimized event plan based on the user's input data. Specific operational procedures and application examples can be adjusted in detail as needed to accommodate a variety of events.

[0143] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0144] System program processing steps

[0145] Step 1: Data entry

[0146] The user starts the system and enters event information into the form on the screen. Input items include the store name, event name, start date, customer demographics, budget, and staffing. The terminal receives the input data from the user and checks its consistency. Specifically, it checks whether the date format is correct, whether the budget is an integer, etc. After consistency is confirmed, the terminal sends this data to the server.

[0147] Input: Event information entered by the user (store name, event name, start date, customer demographics, budget, staffing)

[0148] Data processing: consistency check (format check, numerical check, etc.)

[0149] Output: Sends event information with integrity confirmed to the server

[0150] Specific behavior:

[0151] The user enters "Tokyo branch, Christmas fair, starting December 1, 2023, ages 20-40, budget 1 million yen, staff 5" and clicks the send button. The device may display an error message saying "The date format is invalid."

[0152] Step 2: Receiving and storing data

[0153] The server receives the event information sent from the device. The received data is stored in the database. At this time, the integrity of the data is checked again and verification is performed before storing it in the database.

[0154] Input: Event information sent from the device

[0155] Data processing: Data integrity verification, saving to database

[0156] Output: Event information stored in the database

[0157] Specific behavior:

[0158] The server saves the received event information (Tokyo branch, Christmas fair, starting December 1, 2023, ages 20-40, budget 1 million yen, staff 5) in the database and records the saving in the log.

[0159] Step 3: Preprocessing the data

[0160] The server preprocesses the data stored in the database, unifying date formats, filling in missing data, etc. The preprocessed data is temporarily saved as a dataset for analysis.

[0161] Input: Event information stored in the database

[0162] Data processing: unifying date formats, filling in missing data

[0163] Output: Preprocessed dataset for analysis

[0164] Specific behavior:

[0165] The server standardizes the date "December 1, 2023" to the standard format "YYYY-MM-DD" and completes the missing information "Budget 1 million yen."

[0166] Step 4: Data analysis

[0167] The server uses analytics to analyze the stored event information, compare past event information with current data, and evaluate the effectiveness of events based on metrics such as attendance, sales, and customer response.

[0168] Input: Preprocessed dataset for analysis

[0169] Data processing: Metric calculation (number of participants, sales, customer response, etc.), comparison with past data

[0170] Output: Analysis results

[0171] Specific behavior:

[0172] The server extracts data on Christmas fairs from the past five years, calculates the average number of attendees, median sales, and also references event data from nearby stores.

[0173] Step 5: Run the optimization algorithm

[0174] The server then runs an optimization algorithm based on the analysis results. This algorithm optimizes the event plan, taking into account past success stories and data from nearby stores. To prevent events from becoming stale, the algorithm also generates new ideas and approaches.

[0175] Input: Analysis results

[0176] Data processing: Implementing optimization algorithms and generating new ideas and approaches

[0177] Output: Optimized event plan

[0178] Specific behavior:

[0179] The server runs an AI algorithm to suggest the best date, time and promotion method.

[0180] Step 6: Generate an optimized plan

[0181] Based on the results of the optimization algorithm, the server generates a specific event plan, including the types of activities, promotion methods, and decoration ideas.

[0182] Input: Optimized event plan

[0183] Data processing: Detailed event planning (activities, promotions, decorations, etc.)

[0184] Output: A detailed event plan

[0185] Specific behavior:

[0186] The server generates plans such as "Activity: Lighting up the Christmas tree," "Promotion method: Social media advertising," and "Decoration idea: In-store illumination."

[0187] Step 7: Data Presentation

[0188] The server sends the generated optimized event plan to the terminal, which displays the plan to the user, allowing the user to review the contents and make corrections or adjustments as necessary.

[0189] Input: Detailed event plan

[0190] Data processing: Display of plan, user confirmation and modification

[0191] Output: Final approved or revised event plan

[0192] Specific behavior:

[0193] The server sends the generated plan to the terminal, and the terminal provides the user with a screen showing the "Christmas Fair Plan." The user can then make modifications, such as "changing the budget to 500,000 yen."

[0194] (Application example 1)

[0195] 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."

[0196] Event management requires managing a wide range of information and making quick decisions. Particularly when multiple events are being held simultaneously at multiple commercial facilities, it can be difficult to grasp the status of each event and participants' reactions in real time and take optimal action. It's also important to effectively utilize past event data and the status of surrounding events to formulate plans to prevent events from becoming repetitive.

[0197] 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.

[0198] In this invention, the server includes a user interface means for inputting event information for multiple commercial facilities, a database means for accumulating the event information, an analysis means for analyzing the event information stored in the database, an algorithm means for optimizing an event plan based on the results of the analysis by the analysis means, a means for real-time data input and feedback using a smartphone, smart glasses, or a head-mounted display, and a display means for providing the optimized event plan to a user, thereby utilizing the latest technology in event management to enable fast and effective planning and management.

[0199] "Multiple commercial facilities" refers to commercial facilities or stores located in multiple different locations.

[0200] "Event information" is detailed information about various events held at commercial facilities, including, for example, store names, event names, start dates, customer demographics, budgets, and staffing levels.

[0201] "User interface means" refers to an interface through which a user inputs information or receives feedback from the system, and includes devices such as smartphones, smart glasses, and head-mounted displays.

[0202] "Database means" refers to a database system for storing and managing collected event information.

[0203] "Analysis means" refers to the systems and algorithms used to analyze, compare, and evaluate the event information stored in the database.

[0204] "Algorithmic means" refers to an algorithm for generating an optimal event plan, taking into account past event data and surrounding event circumstances.

[0205] "Means for real-time data input and feedback" refers to a system that allows data input and feedback to be performed in real time during the operation of an event using a smartphone, smart glasses, or head-mounted display.

[0206] "Display" refers to the display or screen used to present the optimized event plan to the user.

[0207] A "generative AI model" refers to a model that uses artificial intelligence technology to generate new ideas and optimization plans.

[0208] A "prompt" is a series of instructions or questions that are input to a generative AI model and are used as initial input for the AI ​​to generate a response.

[0209] This invention is a system that provides effective event plans by collecting, analyzing, and optimizing event information from multiple commercial facilities. The system consists of a terminal where users can input event information, a server that stores and manages the data, an algorithm that analyzes the data, and an interface that displays the optimized event plan.

[0210] System configuration

[0211] This system consists of the following elements:

[0212] 1. Data Entry

[0213] Users input event information (e.g., store name, event name, start date, customer demographics, budget, and staffing) into the terminal, which then inputs and provides feedback in real time using a smartphone, smart glasses, or head-mounted display.

[0214] 2. Data Receipt and Storage

[0215] The server receives the data sent from the device and stores it in a database, which also includes past event information, enabling comprehensive data management.

[0216] 3. Data Preprocessing

[0217] The server preprocesses the stored data, specifically standardizing date formats and filling in missing data, and organizes the preprocessed data into sets for analysis and temporarily stores them.

[0218] 4. Data Analysis

[0219] The server uses analytical tools to compare the results with past event data and information about surrounding events to evaluate the effectiveness of the event, specifically using metrics such as the number of participants, sales, and customer reactions.

[0220] 5. Running the optimization algorithm

[0221] The server runs an algorithm that optimizes the event plan, taking into account past success stories and event information from nearby stores, and uses generative AI models and prompts to generate new ideas and approaches.

[0222] 6. Generating an optimized plan

[0223] Based on the results of the optimization algorithm, the server generates a specific event plan, including the types of activities, promotion methods, and decoration ideas.

[0224] 7. Data Presentation

[0225] The server sends the optimized event plan to the device, which displays it to the user, who can review the plan and make corrections or adjustments as necessary.

[0226] Hardware and software used

[0227] Hardware: Smartphone (iOS / ANDROID (registered trademark)), smart glasses, head-mounted display (e.g., Meta Quest 2)

[0228] software:

[0229] Data entry: Provide a user interface using Swift / Kotlin.

[0230] Data analysis: Data processing and calculations are performed using Python (pandas, scikit-learn).

[0231] Visual feedback: Provide real-time visual feedback using Unity(C).

[0232] Specific examples of program processing

[0233] For example, consider a scenario in which a Christmas fair is held at the Tokyo branch.

[0234] The user uses a smartphone to enter information such as "Tokyo branch, Christmas fair, starting December 1, 2023, ages 20-40, budget 1 million yen, 5 staff." The device then sends this data to the server, which compares it with data from past Christmas fairs and generates a new event plan.

[0235] Example prompts for generative AI models

[0236] "We're holding a Christmas fair at our Tokyo branch. Please tell us the best event plan based on past event data. The data is as follows: Store name: Tokyo branch, Event name: Christmas fair, Start date: December 1, 2023, Customer demographic: 20-40s, Budget: 1 million yen, Staff: 5 people."

[0237] In this way, the system provides an optimized event plan based on the user's input data. Specific operational procedures and application examples can be adjusted as needed to accommodate a variety of events.

[0238] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0239] Step 1:

[0240] The user enters the event information.

[0241] For example, the information to be entered might be "Tokyo branch, Christmas fair, starting December 1, 2023, ages 20-40, budget 1 million yen, staff 5."

[0242] This is done in real time using a smartphone, smart glasses, or a head-mounted display.

[0243] The terminal verifies this information to ensure that it is error-free.

[0244] Step 2:

[0245] The terminal transmits the verified event information to the server.

[0246] The data sent includes detailed event information (store name, event name, start date, customer demographics, budget, and staffing).

[0247] The server receives the data and stores it in a database, which also stores past event data, enabling comprehensive data management.

[0248] Step 3:

[0249] The server preprocesses the stored data.

[0250] Specifically, the system will standardize date formats and complement missing data. For example, data with different formats for December 1, 2023 will be standardized and incomplete customer demographic data will be complemented.

[0251] The preprocessed data is organized into analytical sets and temporarily stored.

[0252] Step 4:

[0253] The server analyzes the stored event data using an analysis means.

[0254] Metrics such as number of participants, sales, and customer response are used for analysis.

[0255] For example, compare sales data from past Christmas fairs with information about the current Christmas fair.

[0256] The server evaluates the effectiveness of the current event based on the analysis results.

[0257] Step 5:

[0258] The server runs an optimization algorithm using the generative AI model.

[0259] For example, by inputting prompt statements that take into account past success stories and surrounding event information into the AI ​​model, the optimal event plan can be generated.

[0260] Example prompt: "We are holding a Christmas fair at our Tokyo branch. Please tell us the best event plan based on past event data. The data is as follows: store name: Tokyo branch, event name: Christmas fair, start date: December 1, 2023, customer demographic: 20-40s, budget: 1 million yen, number of staff: 5 people."

[0261] Step 6:

[0262] The server creates a specific event plan based on the generated optimized event plan.

[0263] The plan includes, for example, types of activities, promotional methods, decoration ideas, etc.

[0264] This will allow the overall structure and management policy of the event to be concretely defined.

[0265] Step 7:

[0266] The server transmits the generated event plan to the terminal.

[0267] The terminal displays this plan to the user, who can review the plan and make any necessary modifications.

[0268] For example, feedback such as "Additional staff needed in Area A" can be received through a head-mounted display.

[0269] These steps enable the system to collect, analyze, optimize, and provide feedback in real time to ensure effective event management.

[0270] 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.

[0271] The present invention is a system that collects event information from multiple commercial facilities, analyzes it, and optimizes it to provide effective event plans. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, it is possible to propose event plans based on the user's emotions. A specific embodiment of this system is described below.

[0272] System configuration

[0273] This system consists of a terminal where users can input event information, a server that stores and manages the data, an algorithm that analyzes the data, an interface that displays an optimized event plan, and an emotion engine that recognizes the user's emotions.

[0274] 1. Data Entry

[0275] The user inputs event information (e.g., store name, event name, start date, customer demographics, budget, and staffing) into the terminal.

[0276] The terminal checks the integrity of the information entered and verifies that there are no errors.

[0277] After verification, the terminal transmits the data to the server.

[0278] 2. Data Receipt and Storage

[0279] The server receives the data sent from the terminal and stores it in a database.

[0280] The database also includes information on past events, allowing for comprehensive data management.

[0281] 3. Data Preprocessing

[0282] The server preprocesses the stored data, specifically standardizing date formats and filling in missing data.

[0283] The preprocessed data is organized into analytical sets and temporarily stored.

[0284] 4. Data Analysis

[0285] The server uses analytical means to compare the event with past event data and event information from other stores to evaluate its effectiveness.

[0286] Specifically, metrics such as the number of participants, sales, and customer response will be evaluated.

[0287] 5. Running the optimization algorithm

[0288] The server then runs an optimization algorithm based on the analysis results, which takes into account past success stories and information from competitors to generate an effective event plan.

[0289] Generate new ideas and approaches to avoid getting stuck in a rut.

[0290] 6. Operation of the Emotion Engine

[0291] The emotion engine installed in the device acquires the user's voice data and facial expression data, analyzes this data, and recognizes the user's emotional state.

[0292] The recognized emotions are sent to the server in real time.

[0293] 7. Generating an optimized plan

[0294] The server adjusts the content of the event plan suggestions based on the user's emotional data received from the emotion engine. For example, if the user is excited, it suggests adding an activity, and if the user is stressed, it emphasizes relaxation elements.

[0295] 8. Data Presentation

[0296] The server transmits the generated optimized event plan to the terminal.

[0297] The device displays the optimization plan to the user, who can review it and make corrections or adjustments as needed.

[0298] Specific examples

[0299] Data Entry

[0300] As an example, consider the data for the "Christmas fair held at the Tokyo branch."

[0301] The user enters the following information into the terminal: "Tokyo branch, Christmas fair, starting December 1, 2023, ages 20-40, budget 1 million yen, staff 5."

[0302] The terminal transmits the data to the server.

[0303] Data reception and storage

[0304] The server receives this data and stores it in a database.

[0305] Data Preprocessing

[0306] The server will unify the date format and fill in any missing data.

[0307] Data analysis

[0308] The server compares the current input data with past "Christmas Fair" data, and also references data from nearby branches in Yokohama and Osaka.

[0309] Running the optimization algorithm

[0310] The server takes into consideration past success stories and popular events at nearby stores to generate the optimal event plan.

[0311] Emotion Engine Operation

[0312] The emotion engine in the device analyzes the user's facial expression data and determines whether the user is satisfied.

[0313] The analysis results are sent to a server and used to adjust the event plan.

[0314] Data presentation

[0315] The server sends the generated plan to the terminal, which displays it to the user.

[0316] The user checks the displayed plan and makes corrections as necessary.

[0317] In this way, the system can provide more effective and personalized event plans based on the user's input data and emotional data. Specific operation procedures and application examples can be adjusted in detail as needed to accommodate a variety of events.

[0318] The processing flow will be explained below.

[0319] Step 1:

[0320] The user inputs event information (e.g., store name, event name, start date, customer demographics, budget, and staffing) into the terminal. By inputting the event information accurately, the system can perform an appropriate analysis.

[0321] Step 2:

[0322] The terminal performs formal checks on the information entered to ensure there are no data entry errors, such as checking date formats and numbers.

[0323] Step 3:

[0324] The terminal sends the verified data to the server, adding a necessary margin to the data to prevent errors.

[0325] Step 4:

[0326] The server receives the data sent from the device and immediately stores it in a database.

[0327] Step 5:

[0328] The server preprocesses the data stored in the database, including standardizing the date format and filling in missing data, for example, standardizing it to the "YYYY-MM-DD" format.

[0329] Step 6:

[0330] The server uses the pre-processed data to perform analysis. During the analysis, it compares past event data and event information from other stores to evaluate the effectiveness of the event. Specifically, it takes into account factors such as the number of participants, sales, and customer reactions.

[0331] Step 7:

[0332] The server then runs an optimization algorithm based on the analysis results, which takes into account past success stories and information from competitors to generate an effective event plan.

[0333] Step 8:

[0334] The device captures the user's face with a camera and sends the image to the emotion engine, which analyzes it and recognizes the user's emotional state.

[0335] Step 9:

[0336] The emotion engine analyzes the user's voice and facial expression data in real time to recognize emotions (e.g., joy, sadness, excitement, stress), allowing it to provide more personalized plans.

[0337] Step 10:

[0338] The server adjusts the content of the event plan suggestions based on the user's emotional data received from the emotion engine. For example, if the user is excited, it suggests adding activities, and if the user is stressed, it emphasizes relaxation elements.

[0339] Step 11:

[0340] The server generates an optimized event plan, which includes specific activity types, promotion methods, decoration ideas, etc.

[0341] Step 12:

[0342] The server transmits the generated optimization plan to the terminal, and the transmitted data is converted into a format that is easy for the user to understand.

[0343] Step 13:

[0344] The device displays the optimized event plan to the user, who can review the plan and make corrections and adjustments as needed, including emotional changes.

[0345] The above is the specific processing flow of this system, which allows the user to obtain an optimized event plan that reflects their own emotional state.

[0346] Example 2

[0347] 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."

[0348] Providing effective event plans for multiple commercial facilities requires the aggregation, analysis, and optimization of large amounts of event information. However, current systems do not adequately verify the consistency of input data or provide personalized optimization plans that include emotion recognition. Another issue is the difficulty of generating effective plans that take into account past event data and user emotion data.

[0349] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0350] In this invention, the server includes interface means for a user to input event information, means for checking the consistency of the event information and verifying errors, means for transmitting the data to the server after verifying that there are no errors, server and database means for receiving and storing the data transmitted from the terminal, means for preprocessing the stored data, analysis means for analyzing the data based on the preprocessed data and evaluating the effectiveness, means for executing an optimization algorithm based on the analysis results to generate an effective event plan, emotion recognition means for acquiring and analyzing user emotion data, means for adjusting the event plan based on the acquired emotion data, and display means for providing the optimized event plan to the user. This makes it possible to provide a more highly personalized optimization plan through input data consistency checking and emotion recognition.

[0351] "User" means a person or organization that utilizes the system to input event information and review optimized event plans.

[0352] "Interface means" refers to a means by which a user inputs event information, and includes, for example, a web form or an application interface.

[0353] The "integrity checking means" is a means for checking the integrity of input event information and verifying errors.

[0354] A "server" is a computer system that receives, stores, and processes data sent from a terminal.

[0355] The "database means" is a storage system for storing received event information.

[0356] "Preprocessing means" refers to means for standardizing the date format of stored data and supplementing missing data.

[0357] The "analysis means" is a means for comparing the pre-processed data with past event data and event information from other stores to evaluate the effectiveness.

[0358] The "optimization algorithm means" is a means for executing an optimization algorithm based on the analysis results and generating an effective event plan.

[0359] The "emotion recognition means" is a means for acquiring and analyzing the user's voice data and facial expression data to recognize the user's emotional state.

[0360] The "emotion data adjustment means" is a means for adjusting the content of the proposed event plan based on the acquired emotion data.

[0361] "Display means" refers to means for providing the optimized event plan to the user, and includes, for example, a display and a web interface.

[0362] The present invention is a system that collects event information from multiple commercial facilities, analyzes it, and optimizes it to provide effective event plans. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, it is possible to propose event plans based on the user's emotions. Specific embodiments for implementing this system are described below.

[0363] System configuration

[0364] The system consists of the following main components:

[0365] 1. Interface means: A means by which a user inputs event information. Examples include web-based forms and smartphone applications.

[0366] 2. Consistency checking means: A means for checking the consistency of the input event information and verifying errors.

[0367] 3. Server: A computer system that receives, stores, and processes data sent from the terminal.

[0368] 4. Database means: A storage system for storing received event information. Specifically, an SQL database (e.g., MySQL (registered trademark), PostgreSQL) is used.

[0369] 5. Preprocessing methods: Methods for standardizing the date format of stored data and filling in missing data. Python's Pandas library is frequently used.

[0370] 6. Analysis method: A method for evaluating the effectiveness of pre-processed data by comparing it with past event data and event information from other stores. The Scikit-learn library is mainly used.

[0371] 7. Optimization algorithm means: A means for executing an optimization algorithm based on the analysis results to generate an effective event plan. Genetic algorithms and linear programming are applied.

[0372] 8. Emotion recognition means: A means of acquiring and analyzing the user's voice data and facial expression data to recognize the user's emotional state. As a specific example, the Microsoft® Azure® emotion recognition API is used.

[0373] 9. Emotional data adjustment means: A means for adjusting the event plan based on the acquired emotional data.

[0374] 10. Display means: A means for providing the optimized event plan to the user, such as a web page or a mobile application interface.

[0375] Example

[0376] Example 1: Christmas Fair Data Entry

[0377] The user enters event information (e.g., "Tokyo branch, Christmas fair, starting December 1, 2023, ages 20-40, budget 1 million yen, staff 5") into an input form on the terminal.

[0378] The device checks the integrity of the information, verifies that there are no errors in date formats or numeric fields, and then sends the data to the server.

[0379] The server receives the data sent from the device and stores it in a database. It unifies the date format of the stored data and fills in any missing data.

[0380] Example 2: Data analysis and plan optimization

[0381] The server uses Scikit-learn to analyze data from past Christmas fairs and current input data, and evaluates the effectiveness of the fairs in terms of number of participants, sales, and customer reactions.

[0382] An effective event plan is generated using a genetic algorithm based on the analysis results obtained.

[0383] Example 3: Adjustment by Emotion Engine

[0384] The device's emotion engine acquires the user's facial expression and voice data and analyzes it using Microsoft Azure's emotion recognition API.

[0385] The server adjusts the event plan based on the acquired user emotional data. For example, if the user is feeling stressed, it will emphasize relaxation elements.

[0386] Examples of prompt statements

[0387] "Generate an effective event plan based on the event information and emotional data entered by the user. The user's input information is as follows: Store name: Tokyo branch, Event name: Christmas fair, Start date: December 1, 2023, Customer demographic: 20-40s, Budget: 1 million yen, Number of participants: 5. The user seems excited at the moment."

[0388] As described above, this system can provide more effective and personalized event plans based on the user's input data and emotional data.

[0389] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0390] Step 1:

[0391] The user enters event information into the device. Specifically, they enter data such as the event name, start date, store name, customer demographics, budget, and staffing into a web form or app. The device then checks the integrity of the entered data, verifying that the date format is correct, that numbers are appropriate, and confirming that there are no errors. If the entered data is valid, the device sends it to the server.

[0392] Input: Event information (e.g., "Tokyo branch, Christmas fair, starting December 1, 2023, ages 20-40, budget 1 million yen, staff 5")

[0393] Output: Event data that has been verified for integrity and sent to the server

[0394] Step 2:

[0395] The server receives the event data sent from the device and stores it in a database. The database also stores past event data, and the accumulated information is placed under comprehensive management. When saving, the server checks that the data is formatted correctly and reformats it if necessary.

[0396] Input: Event data sent from the device

[0397] Output: Event data stored in a database

[0398] Step 3:

[0399] The server preprocesses the stored data, which includes standardizing date formats, imputing missing data, cleaning text data, etc. For example, it uses the Python Pandas library to convert all dates to "YYYY-MM-DD" format and impute missing data with appropriate defaults or averages.

[0400] Input: Event data stored in the database

[0401] Output: A clean, pre-processed dataset

[0402] Step 4:

[0403] The server analyzes the preprocessed data. Specifically, it compares it with past event data and event information from other stores to evaluate metrics such as the number of participants, sales, and customer reactions. It then uses the Scikit-learn library to perform regression analysis and clustering to quantify the effectiveness of the event.

[0404] Input: A clean, pre-processed dataset

[0405] Output: Analysis results to evaluate the effectiveness

[0406] Step 5:

[0407] The server runs optimization algorithms based on the analysis results, using genetic algorithms and linear programming to generate effective event plans. For example, it incorporates elements of successful events to propose new approaches. It also takes into account data from competitors.

[0408] Input: Analysis results

[0409] Output: Optimized event plan

[0410] Step 6:

[0411] The emotion engine in the device acquires and analyzes the user's emotional data. It uses the device's camera and microphone to capture the user's facial expressions and voice, and analyzes them using Microsoft Azure's emotion recognition API. The acquired emotional data is sent to the server.

[0412] Input: User's facial expression data, voice data

[0413] Output: Analyzed user emotion data

[0414] Step 7:

[0415] The server adjusts the content of the optimized event plan based on the emotion data received from the emotion engine, for example, emphasizing relaxation elements if the user is stressed, or adding activities if the user is excited.

[0416] Input: Sentiment data from the emotion engine, optimized event plan

[0417] Output: An event plan adjusted to reflect the sentiment data.

[0418] Step 8:

[0419] The server sends the adjusted optimization event plan to the terminal, which then displays the received plan to the user. For example, the plan schedule and details of each element can be visually confirmed on a web interface. The user can review the plan and provide corrections or feedback as necessary.

[0420] Input: Event plan adjusted to reflect sentiment data

[0421] Output: The optimization event plan displayed to the user

[0422] This is the specific flow of the system's program processing. At each step, appropriate data processing and calculations are performed based on the input data, and ultimately an optimized event plan is provided to the user.

[0423] (Application example 2)

[0424] 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."

[0425] Conventional event planning systems have limitations in optimizing based on past event data, making it difficult to flexibly plan events based on individual user emotions and real-time feedback. Furthermore, they are unable to fully incorporate elements to prevent events from becoming stale, making it difficult to maximize the user experience. The objective of this invention is to solve these problems and provide a system that provides users with more effective and personalized event plans.

[0426] 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.

[0427] In this invention, the server includes a user interface means for inputting event information, a database means for accumulating event information, an analysis means for analyzing the event information stored in the database, an emotion recognition engine means for recognizing and analyzing user emotion data, an algorithm means for optimizing the event plan based on the results of the analysis by the analysis means and the emotion recognition engine means, and a display means for providing the optimized event plan to the user, thereby making it possible to provide a flexible event plan based on the user's emotions.

[0428] The "user interface means" is an interface for a user to input event information, and is a device or software that enables the exchange of information between the user and the system.

[0429] The "database means" is a system for collecting, storing, and managing various data including event information.

[0430] "Analysis means" refers to algorithms or programs that use event information stored in the database to analyze the effects and trends of events.

[0431] The "emotion recognition engine means" is a technology for recognizing emotions from the user's voice data and facial expression data, analyzing them, and reflecting them in the event plan.

[0432] "Algorithm Means" refers to the computational procedures or processes for generating an optimal event plan based on the Analysis Means and the Emotion Recognition Engine Means.

[0433] "Display means" refers to a device or interface for visually presenting the optimized event plan to the user.

[0434] The system of the present invention collects, analyzes, and optimizes event information to provide an effective event plan. This system aggregates and analyzes event information from multiple commercial facilities to generate an optimal event plan. It also has the ability to recognize user emotions and adjust the event plan based on the results.

[0435] System configuration

[0436] This system consists of the following main means:

[0437] 1. User Interface Methods

[0438] The user interface means is an interface for users to input event information, and is designed to allow information to be input via a terminal such as a smartphone, PC, or tablet.

[0439] 2. Database Means

[0440] The database means is a system for collecting, storing, and managing event information and related data, including past event data and data collected from other commercial facilities.

[0441] 3. Analysis method

[0442] The analysis means uses the event information stored in the database to analyze the effects and trends of the event, and also compares it with other similar events, providing a basis for generating optimal plans.

[0443] 4. Emotion Recognition Engine Means

[0444] The emotion recognition engine has the function of recognizing and analyzing emotions from the user's voice data and facial expression data. This engine collects emotion data in real time and transmits the analysis results to the server.

[0445] 5. Algorithmic Means

[0446] The algorithm means is a computational procedure or process used to optimize the event plan based on the results of the analysis means and the emotion recognition engine means, thereby optimizing the plan according to the user's emotional state.

[0447] 6. Display means

[0448] The display means is a device or interface for providing the optimized event plan to the user, and works in conjunction with the user interface means to visually display the plan.

[0449] Hardware and software used

[0450] 1. Hardware

[0451] Smartphone

[0452] Head-mounted display (HMD)

[0453] server

[0454] 2. Software

[0455] EmotionRecognitionEngine (emotion recognition software)

[0456] TextBlob (a library for natural language processing)

[0457] Data processing and calculation

[0458] The server first stores the event information entered through the user interface means in a database. The analysis means then uses this data to perform analysis to evaluate metrics such as the number of participants, sales, and customer reactions. The emotion recognition engine means then collects real-time emotion data from users and transmits the analysis results to the server. The algorithm means then integrates these analysis results to generate an optimal event plan. The optimized plan is then presented to the user through the display means.

[0459] Specific examples

[0460] Consider the data for a "Virtual Christmas Fair" as an example. A user uses a smartphone to input information such as "Virtual Christmas Fair, starting December 1, 2023, ages 20-40, budget 1 million yen, 5 staff, excited." In addition to this data, the system references past success stories and information on nearby events, and generates an optimal plan based on the user's emotional state.

[0461] Prompt Sentence Examples

[0462] "A user has entered plans for a virtual event. The event name is 'Virtual Christmas Fair' and the start date is December 1, 2023. The target demographic is people in their 20s-40s, the budget is 1 million yen, and the staffing is 5 people. The user's feedback included 'I'm excited.' Please optimize this virtual event based on sentiment data and past success stories."

[0463] Based on this example, the system can provide the user with an optimal event plan.

[0464] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0465] Step 1:

[0466] The user enters event information using a smartphone or computer, such as the event name, start date, target user demographic, budget, staffing, and feedback (e.g., "I'm excited").

[0467] Input: Event name, start date, target audience, budget, staffing, user feedback

[0468] Output: Formatted event information

[0469] Step 2:

[0470] The terminal checks the format of the entered information and verifies its integrity, for example checking that the date format is correct and that all required fields have been filled in.

[0471] Input: Event information entered by the user

[0472] Output: Event information with integrity confirmed

[0473] Step 3:

[0474] The terminal sends the verified event information to the server.

[0475] Input: Event information whose integrity has been verified

[0476] Output: Event information sent to the server

[0477] Step 4:

[0478] The server stores the received event information in a database.

[0479] Input: Event information sent to the server

[0480] Output: Event information stored in the database

[0481] Step 5:

[0482] The server preprocesses the stored data, specifically standardizing date formats and filling in missing data.

[0483] Input: Event information stored in the database

[0484] Output: Preprocessed event data

[0485] Step 6:

[0486] The server then analyzes the pre-processed data using analytical tools, comparing it with past event data from other commercial facilities and evaluating metrics such as the number of event attendees, sales, and customer reactions.

[0487] Input: Preprocessed event data

[0488] Output: Analysis results

[0489] Step 7:

[0490] The emotion recognition engine acquires and analyzes the user's voice data and facial expression data in real time to recognize the user's emotional state, and transmits the emotion data to the server.

[0491] Input: User's voice data, facial expression data

[0492] Output: User emotion data

[0493] Step 8:

[0494] The server integrates the emotional data with the analysis results and optimizes the event plan using algorithmic means: if the user gives feedback that they are "excited," additional activities will be considered; conversely, if the user gives feedback that they are "stressed," relaxation elements will be emphasized.

[0495] Input: Analysis results, user emotion data

[0496] Output: Optimized event plan

[0497] Step 9:

[0498] The server transmits the generated optimal event plan to the terminal.

[0499] Input: Optimized event plan

[0500] Output: Optimization event plan sent to the terminal

[0501] Step 10:

[0502] The device visually displays an optimized event plan to the user, including unique activities and new elements, and the user can review the plan and make any necessary adjustments.

[0503] Input: Optimization event plan sent to the terminal

[0504] Output: The optimization event plan displayed to the user

[0505] 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.

[0506] 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.

[0507] 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.

[0508] [Second embodiment]

[0509] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0510] 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.

[0511] 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).

[0512] 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.

[0513] 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.

[0514] 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).

[0515] 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.

[0516] 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.

[0517] 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.

[0518] 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.

[0519] 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.

[0520] 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."

[0521] The present invention is a system that collects event information from multiple commercial facilities, analyzes and optimizes it, and provides effective event plans. Specific embodiments of this system are described below.

[0522] System configuration

[0523] This system consists of a terminal for users to input event information, a server that stores and manages the data, an algorithm that analyzes the data, and an interface that displays the optimized event plan.

[0524] 1. Data Entry

[0525] The user inputs event information (e.g., store name, event name, start date, customer demographics, budget, and staffing) into the terminal.

[0526] The terminal checks the integrity of the information entered and verifies that there are no errors.

[0527] After verification, the terminal transmits the data to the server.

[0528] 2. Data Receipt and Storage

[0529] The server receives the data sent from the terminal and stores it in a database.

[0530] The database also includes information on past events, allowing for comprehensive data management.

[0531] 3. Data Preprocessing

[0532] The server preprocesses the stored data, specifically standardizing date formats and filling in missing data.

[0533] The preprocessed data is organized into analytical sets and temporarily stored.

[0534] 4. Data Analysis

[0535] The server uses analytical means to compare the event with past event data and surrounding event information to evaluate its effectiveness.

[0536] Specifically, metrics such as number of participants, sales, and customer response will be used.

[0537] 5. Running the optimization algorithm

[0538] The server runs an algorithm to optimize the event plan, taking into account past success stories and event information from nearby stores.

[0539] Generate new ideas and approaches to avoid getting stuck in a rut.

[0540] 6. Generating an optimized plan

[0541] The server generates a specific event plan based on the results of the optimization algorithm.

[0542] The plan includes types of activities, promotional methods, decoration ideas, and more.

[0543] 7. Data Presentation

[0544] The server transmits the optimized event plan to the terminal.

[0545] The terminal displays the optimization plan to the user.

[0546] The user reviews this plan and makes any necessary corrections or adjustments.

[0547] Specific examples

[0548] Data Entry

[0549] As an example, consider the data for the "Christmas fair held at the Tokyo branch."

[0550] The user enters the following information into the terminal: "Tokyo branch, Christmas fair, starting December 1, 2023, ages 20-40, budget 1 million yen, staff 5."

[0551] The terminal transmits the data to the server.

[0552] Data reception and storage

[0553] The server receives this data and stores it in a database.

[0554] Data Preprocessing

[0555] The server will unify the date format and fill in any missing data.

[0556] Data analysis

[0557] The server compares the current input data with past "Christmas Fair" data, and also references data from nearby branches in Yokohama and Osaka.

[0558] Running the optimization algorithm

[0559] The server takes into consideration past success stories and popular events at nearby stores to generate the optimal event plan.

[0560] Data presentation

[0561] The server sends the generated plan to the terminal, which displays it to the user.

[0562] The user checks the displayed plan and makes corrections as necessary.

[0563] In this way, the system provides an optimized event plan based on the user's input data. Specific operational procedures and application examples can be adjusted in detail as needed to accommodate a variety of events.

[0564] The processing flow will be explained below.

[0565] Step 1:

[0566] The user inputs event information into the terminal, including the store name, event name, start date, customer demographics, budget, and staffing.

[0567] Step 2:

[0568] The terminal checks the format of the entered data and verifies that there are no data entry errors, for example, validating date formats and numeric entries.

[0569] Step 3:

[0570] The device sends the verified data to the server, structured in a basic format (e.g., JSON, XML).

[0571] Step 4:

[0572] The server receives the data sent from the device and stores it in a database in a secure manner.

[0573] Step 5:

[0574] The server preprocesses the data stored in the database, including standardizing date formats and filling in missing data.

[0575] Step 6:

[0576] The server then uses the pre-processed data to perform an analysis, comparing it with past event data and event information from other stores, evaluating metrics such as attendance, sales, and customer response.

[0577] Step 7:

[0578] The server then runs an optimization algorithm based on the analysis results, which takes into account past success stories and information from competitors to generate an effective event plan.

[0579] Step 8:

[0580] The server generates an optimized event plan, which includes specific activity types, promotion methods, decoration ideas, etc.

[0581] Step 9:

[0582] The server sends the generated optimization plan to the device, where the data is converted into a user-friendly format.

[0583] Step 10:

[0584] The device displays the optimized event plan to the user, who can review the plan and make corrections or adjustments as needed.

[0585] The above is a detailed processing flow of this system, which allows users to easily utilize effective and fresh event plans.

[0586] Example 1

[0587] 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."

[0588] Conventional event planning systems have the problem of not being able to adequately check the consistency of event information or compare it with past event data, making it difficult to plan effective events. It is also difficult to generate new ideas and effectively optimize events to prevent them from becoming stale.

[0589] 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.

[0590] In this invention, the server includes a user interface means for a user to input event information, a verification means for checking the consistency of the event information, a database means for accumulating the event information, a preprocessing means for preprocessing the event information stored in the database, an analysis means for analyzing the event information and past event information, an algorithm means for optimizing an event plan based on the results of the analysis by the analysis means, and a display means for presenting the optimized event plan to the user, thereby enabling consistent event information management, effective event plan optimization based on past data, and new idea generation.

[0591] The "user interface means" is a function that provides an interface for the user to input event information.

[0592] The "verification means" is a function that checks the consistency of the input event information and verifies whether the format is correct.

[0593] The "database means" is a function for accumulating event information and storing it in a database.

[0594] The "preprocessing means" is a function for preprocessing the saved event information, standardizing the data format, and complementing missing data.

[0595] The "analysis means" is a function for comparing and analyzing event information with past event information and evaluating its effectiveness.

[0596] The "algorithm means" is a function for optimizing an event plan based on the analysis results and generating an effective event plan.

[0597] The "display means" is a function that provides the optimized event plan to the user and displays it so that the user can check and modify it.

[0598] MODE FOR CARRYING OUT THE INVENTION

[0599] The present invention is a system that collects event information from multiple commercial facilities, analyzes and optimizes it, and provides effective event plans. Specific embodiments of this system are described below.

[0600] System configuration

[0601] This system consists of a terminal for users to input event information, a server that stores and manages the data, an algorithm that analyzes the data, and an interface that displays the optimized event plan.

[0602] User Interface Means

[0603] The user starts the system and inputs event information into the terminal through the user interface means. Specific input items include the store name, event name, start date, customer demographics, budget, and staffing.

[0604] Examples:

[0605] The user enters the following information into the terminal: "Tokyo branch, Christmas fair, starting December 1, 2023, ages 20-40, budget 1 million yen, staff 5."

[0606] Verification Method

[0607] The terminal checks the integrity of the entered data and verifies that it is in the correct format. Based on the results of the validation, it may display an error message to prompt the user to make corrections.

[0608] Examples:

[0609] The terminal may display an error message stating "Start date format is invalid."

[0610] Database Means

[0611] Once verification is complete, the device sends the event information to the server, which then stores it in a database. The database also includes information on past events, enabling comprehensive data management.

[0612] Pretreatment means

[0613] The server preprocesses the stored data, including standardizing date formats and filling in missing data. The preprocessed data is temporarily saved as a set for analysis.

[0614] Examples:

[0615] The server unifies the date format "December 1, 2023" to the standard format "YYYY-MM-DD" and fills in the missing data.

[0616] Analysis means

[0617] The server uses analytical means to compare the event information with past event information, specifically using metrics such as the number of attendees, sales, and customer reactions to compare with past data.

[0618] Examples:

[0619] The server extracts data on Christmas fairs from the past five years and calculates the average number of attendees. It also references event data from nearby stores.

[0620] Algorithmic Means

[0621] The server runs an algorithm that optimizes the event plan, taking into account past success stories and information about events at nearby stores. The algorithm generates new ideas and approaches to avoid becoming repetitive.

[0622] Display means

[0623] The server sends the optimized event plan to the terminal, which displays the optimized plan to the user, who can review the displayed plan and make corrections or adjustments as necessary.

[0624] Examples:

[0625] The server sends the generated event plan to the terminal, and the terminal provides the user with a screen showing the "Christmas Fair Plan." The user then makes a minor adjustment, such as "I want to change only the budget to 500,000 yen."

[0626] Examples of prompts for generative AI models

[0627] "Using event information from nearby commercial facilities, we would like you to suggest optimal promotional methods and decoration ideas for a Christmas fair targeting people in their 20s to 40s."

[0628] In this way, the system provides an optimized event plan based on the user's input data. Specific operational procedures and application examples can be adjusted in detail as needed to accommodate a variety of events.

[0629] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0630] System program processing steps

[0631] Step 1: Data entry

[0632] The user starts the system and enters event information into the form on the screen. Input items include the store name, event name, start date, customer demographics, budget, and staffing. The terminal receives the input data from the user and checks its consistency. Specifically, it checks whether the date format is correct, whether the budget is an integer, etc. After consistency is confirmed, the terminal sends this data to the server.

[0633] Input: Event information entered by the user (store name, event name, start date, customer demographics, budget, staffing)

[0634] Data processing: consistency check (format check, numerical check, etc.)

[0635] Output: Sends event information with integrity confirmed to the server

[0636] Specific behavior:

[0637] The user enters "Tokyo branch, Christmas fair, starting December 1, 2023, ages 20-40, budget 1 million yen, staff 5" and clicks the send button. The device may display an error message saying "The date format is invalid."

[0638] Step 2: Receiving and storing data

[0639] The server receives the event information sent from the device. The received data is stored in the database. At this time, the integrity of the data is checked again and verification is performed before storing it in the database.

[0640] Input: Event information sent from the device

[0641] Data processing: Data integrity verification, saving to database

[0642] Output: Event information stored in the database

[0643] Specific behavior:

[0644] The server saves the received event information (Tokyo branch, Christmas fair, starting December 1, 2023, ages 20-40, budget 1 million yen, staff 5) in the database and records the saving in the log.

[0645] Step 3: Preprocessing the data

[0646] The server preprocesses the data stored in the database, unifying date formats, filling in missing data, etc. The preprocessed data is temporarily saved as a dataset for analysis.

[0647] Input: Event information stored in the database

[0648] Data processing: unifying date formats, filling in missing data

[0649] Output: Preprocessed dataset for analysis

[0650] Specific behavior:

[0651] The server standardizes the date "December 1, 2023" to the standard format "YYYY-MM-DD" and completes the missing information "Budget 1 million yen."

[0652] Step 4: Data analysis

[0653] The server uses analytics to analyze the stored event information, compare past event information with current data, and evaluate the effectiveness of events based on metrics such as attendance, sales, and customer response.

[0654] Input: Preprocessed dataset for analysis

[0655] Data processing: Metric calculation (number of participants, sales, customer response, etc.), comparison with past data

[0656] Output: Analysis results

[0657] Specific behavior:

[0658] The server extracts data on Christmas fairs from the past five years, calculates the average number of attendees, median sales, and also references event data from nearby stores.

[0659] Step 5: Run the optimization algorithm

[0660] The server then runs an optimization algorithm based on the analysis results. This algorithm optimizes the event plan, taking into account past success stories and data from nearby stores. To prevent events from becoming stale, the algorithm also generates new ideas and approaches.

[0661] Input: Analysis results

[0662] Data processing: Implementing optimization algorithms and generating new ideas and approaches

[0663] Output: Optimized event plan

[0664] Specific behavior:

[0665] The server runs an AI algorithm to suggest the best date, time and promotion method.

[0666] Step 6: Generate an optimized plan

[0667] Based on the results of the optimization algorithm, the server generates a specific event plan, including the types of activities, promotion methods, and decoration ideas.

[0668] Input: Optimized event plan

[0669] Data processing: Detailed event planning (activities, promotions, decorations, etc.)

[0670] Output: A detailed event plan

[0671] Specific behavior:

[0672] The server generates plans such as "Activity: Lighting up the Christmas tree," "Promotion method: Social media advertising," and "Decoration idea: In-store illumination."

[0673] Step 7: Data Presentation

[0674] The server sends the generated optimized event plan to the terminal, which displays the plan to the user, allowing the user to review the contents and make corrections or adjustments as necessary.

[0675] Input: Detailed event plan

[0676] Data processing: Display of plan, user confirmation and modification

[0677] Output: Final approved or revised event plan

[0678] Specific behavior:

[0679] The server sends the generated plan to the terminal, and the terminal provides the user with a screen showing the "Christmas Fair Plan." The user can then make modifications, such as "changing the budget to 500,000 yen."

[0680] (Application example 1)

[0681] 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."

[0682] Event management requires managing a wide range of information and making quick decisions. Particularly when multiple events are being held simultaneously at multiple commercial facilities, it can be difficult to grasp the status of each event and participants' reactions in real time and take optimal action. It's also important to effectively utilize past event data and the status of surrounding events to formulate plans to prevent events from becoming repetitive.

[0683] 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.

[0684] In this invention, the server includes a user interface means for inputting event information for multiple commercial facilities, a database means for accumulating the event information, an analysis means for analyzing the event information stored in the database, an algorithm means for optimizing an event plan based on the results of the analysis by the analysis means, a means for real-time data input and feedback using a smartphone, smart glasses, or a head-mounted display, and a display means for providing the optimized event plan to a user, thereby utilizing the latest technology in event management to enable fast and effective planning and management.

[0685] "Multiple commercial facilities" refers to commercial facilities or stores located in multiple different locations.

[0686] "Event information" is detailed information about various events held at commercial facilities, including, for example, store names, event names, start dates, customer demographics, budgets, and staffing levels.

[0687] "User interface means" refers to an interface through which a user inputs information or receives feedback from the system, and includes devices such as smartphones, smart glasses, and head-mounted displays.

[0688] "Database means" refers to a database system for storing and managing collected event information.

[0689] "Analysis means" refers to the systems and algorithms used to analyze, compare, and evaluate the event information stored in the database.

[0690] "Algorithmic means" refers to an algorithm for generating an optimal event plan, taking into account past event data and surrounding event circumstances.

[0691] "Means for real-time data input and feedback" refers to a system that allows data input and feedback to be performed in real time during the operation of an event using a smartphone, smart glasses, or head-mounted display.

[0692] "Display" refers to the display or screen used to present the optimized event plan to the user.

[0693] A "generative AI model" refers to a model that uses artificial intelligence technology to generate new ideas and optimization plans.

[0694] A "prompt" is a series of instructions or questions that are input to a generative AI model and are used as initial input for the AI ​​to generate a response.

[0695] This invention is a system that provides effective event plans by collecting, analyzing, and optimizing event information from multiple commercial facilities. The system consists of a terminal where users can input event information, a server that stores and manages the data, an algorithm that analyzes the data, and an interface that displays the optimized event plan.

[0696] System configuration

[0697] This system consists of the following elements:

[0698] 1. Data Entry

[0699] Users input event information (e.g., store name, event name, start date, customer demographics, budget, and staffing) into the terminal, which then inputs and provides feedback in real time using a smartphone, smart glasses, or head-mounted display.

[0700] 2. Data Receipt and Storage

[0701] The server receives the data sent from the device and stores it in a database, which also includes past event information, enabling comprehensive data management.

[0702] 3. Data Preprocessing

[0703] The server preprocesses the stored data, specifically standardizing date formats and filling in missing data, and organizes the preprocessed data into sets for analysis and temporarily stores them.

[0704] 4. Data Analysis

[0705] The server uses analytical tools to compare the results with past event data and information about surrounding events to evaluate the effectiveness of the event, specifically using metrics such as the number of participants, sales, and customer reactions.

[0706] 5. Running the optimization algorithm

[0707] The server runs an algorithm that optimizes the event plan, taking into account past success stories and event information from nearby stores, and uses generative AI models and prompts to generate new ideas and approaches.

[0708] 6. Generating an optimized plan

[0709] Based on the results of the optimization algorithm, the server generates a specific event plan, including the types of activities, promotion methods, and decoration ideas.

[0710] 7. Data Presentation

[0711] The server sends the optimized event plan to the device, which displays it to the user, who can review the plan and make corrections or adjustments as necessary.

[0712] Hardware and software used

[0713] Hardware: Smartphone (iOS / Android), smart glasses, head-mounted display (e.g. Meta Quest 2)

[0714] software:

[0715] Data entry: Provide a user interface using Swift / Kotlin.

[0716] Data analysis: Data processing and calculations are performed using Python (pandas, scikit-learn).

[0717] Visual feedback: Provide real-time visual feedback using Unity(C).

[0718] Specific examples of program processing

[0719] For example, consider a scenario in which a Christmas fair is held at the Tokyo branch.

[0720] The user uses a smartphone to enter information such as "Tokyo branch, Christmas fair, starting December 1, 2023, ages 20-40, budget 1 million yen, 5 staff." The device then sends this data to the server, which compares it with data from past Christmas fairs and generates a new event plan.

[0721] Example prompts for generative AI models

[0722] "We're holding a Christmas fair at our Tokyo branch. Please tell us the best event plan based on past event data. The data is as follows: Store name: Tokyo branch, Event name: Christmas fair, Start date: December 1, 2023, Customer demographic: 20-40s, Budget: 1 million yen, Staff: 5 people."

[0723] In this way, the system provides an optimized event plan based on the user's input data. Specific operational procedures and application examples can be adjusted as needed to accommodate a variety of events.

[0724] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0725] Step 1:

[0726] The user enters the event information.

[0727] For example, the information to be entered might be "Tokyo branch, Christmas fair, starting December 1, 2023, ages 20-40, budget 1 million yen, staff 5."

[0728] This is done in real time using a smartphone, smart glasses, or a head-mounted display.

[0729] The terminal verifies this information to ensure that it is error-free.

[0730] Step 2:

[0731] The terminal transmits the verified event information to the server.

[0732] The data sent includes detailed event information (store name, event name, start date, customer demographics, budget, and staffing).

[0733] The server receives the data and stores it in a database, which also stores past event data, enabling comprehensive data management.

[0734] Step 3:

[0735] The server preprocesses the stored data.

[0736] Specifically, the system will standardize date formats and complement missing data. For example, data with different formats for December 1, 2023 will be standardized and incomplete customer demographic data will be complemented.

[0737] The preprocessed data is organized into analytical sets and temporarily stored.

[0738] Step 4:

[0739] The server analyzes the stored event data using an analysis means.

[0740] Metrics such as number of participants, sales, and customer response are used for analysis.

[0741] For example, compare sales data from past Christmas fairs with information about the current Christmas fair.

[0742] The server evaluates the effectiveness of the current event based on the analysis results.

[0743] Step 5:

[0744] The server runs an optimization algorithm using the generative AI model.

[0745] For example, by inputting prompt statements that take into account past success stories and surrounding event information into the AI ​​model, the optimal event plan can be generated.

[0746] Example prompt: "We are holding a Christmas fair at our Tokyo branch. Please tell us the best event plan based on past event data. The data is as follows: store name: Tokyo branch, event name: Christmas fair, start date: December 1, 2023, customer demographic: 20-40s, budget: 1 million yen, number of staff: 5 people."

[0747] Step 6:

[0748] The server creates a specific event plan based on the generated optimized event plan.

[0749] The plan includes, for example, types of activities, promotional methods, decoration ideas, etc.

[0750] This will allow the overall structure and management policy of the event to be concretely defined.

[0751] Step 7:

[0752] The server transmits the generated event plan to the terminal.

[0753] The terminal displays this plan to the user, who can review the plan and make any necessary modifications.

[0754] For example, feedback such as "Additional staff needed in Area A" can be received through a head-mounted display.

[0755] These steps enable the system to collect, analyze, optimize, and provide feedback in real time to ensure effective event management.

[0756] 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.

[0757] The present invention is a system that collects event information from multiple commercial facilities, analyzes it, and optimizes it to provide effective event plans. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, it is possible to propose event plans based on the user's emotions. A specific embodiment of this system is described below.

[0758] System configuration

[0759] This system consists of a terminal where users can input event information, a server that stores and manages the data, an algorithm that analyzes the data, an interface that displays an optimized event plan, and an emotion engine that recognizes the user's emotions.

[0760] 1. Data Entry

[0761] The user inputs event information (e.g., store name, event name, start date, customer demographics, budget, and staffing) into the terminal.

[0762] The terminal checks the integrity of the information entered and verifies that there are no errors.

[0763] After verification, the terminal transmits the data to the server.

[0764] 2. Data Receipt and Storage

[0765] The server receives the data sent from the terminal and stores it in a database.

[0766] The database also includes information on past events, allowing for comprehensive data management.

[0767] 3. Data Preprocessing

[0768] The server preprocesses the stored data, specifically standardizing date formats and filling in missing data.

[0769] The preprocessed data is organized into analytical sets and temporarily stored.

[0770] 4. Data Analysis

[0771] The server uses analytical means to compare the event with past event data and event information from other stores to evaluate its effectiveness.

[0772] Specifically, metrics such as the number of participants, sales, and customer response will be evaluated.

[0773] 5. Running the optimization algorithm

[0774] The server then runs an optimization algorithm based on the analysis results, which takes into account past success stories and information from competitors to generate an effective event plan.

[0775] Generate new ideas and approaches to avoid getting stuck in a rut.

[0776] 6. Operation of the Emotion Engine

[0777] The emotion engine installed in the device acquires the user's voice data and facial expression data, analyzes this data, and recognizes the user's emotional state.

[0778] The recognized emotions are sent to the server in real time.

[0779] 7. Generating an optimized plan

[0780] The server adjusts the content of the event plan suggestions based on the user's emotional data received from the emotion engine. For example, if the user is excited, it suggests adding an activity, and if the user is stressed, it emphasizes relaxation elements.

[0781] 8. Data Presentation

[0782] The server transmits the generated optimized event plan to the terminal.

[0783] The device displays the optimization plan to the user, who can review it and make corrections or adjustments as needed.

[0784] Specific examples

[0785] Data Entry

[0786] As an example, consider the data for the "Christmas fair held at the Tokyo branch."

[0787] The user enters the following information into the terminal: "Tokyo branch, Christmas fair, starting December 1, 2023, ages 20-40, budget 1 million yen, staff 5."

[0788] The terminal transmits the data to the server.

[0789] Data reception and storage

[0790] The server receives this data and stores it in a database.

[0791] Data Preprocessing

[0792] The server will unify the date format and fill in any missing data.

[0793] Data analysis

[0794] The server compares the current input data with past "Christmas Fair" data, and also references data from nearby branches in Yokohama and Osaka.

[0795] Running the optimization algorithm

[0796] The server takes into consideration past success stories and popular events at nearby stores to generate the optimal event plan.

[0797] Emotion Engine Operation

[0798] The emotion engine in the device analyzes the user's facial expression data and determines whether the user is satisfied.

[0799] The analysis results are sent to a server and used to adjust the event plan.

[0800] Data presentation

[0801] The server sends the generated plan to the terminal, which displays it to the user.

[0802] The user checks the displayed plan and makes corrections as necessary.

[0803] In this way, the system can provide more effective and personalized event plans based on the user's input data and emotional data. Specific operation procedures and application examples can be adjusted in detail as needed to accommodate a variety of events.

[0804] The processing flow will be explained below.

[0805] Step 1:

[0806] The user inputs event information (e.g., store name, event name, start date, customer demographics, budget, and staffing) into the terminal. By inputting the event information accurately, the system can perform an appropriate analysis.

[0807] Step 2:

[0808] The terminal performs formal checks on the information entered to ensure there are no data entry errors, such as checking date formats and numbers.

[0809] Step 3:

[0810] The terminal sends the verified data to the server, adding a necessary margin to the data to prevent errors.

[0811] Step 4:

[0812] The server receives the data sent from the device and immediately stores it in a database.

[0813] Step 5:

[0814] The server preprocesses the data stored in the database, including standardizing the date format and filling in missing data, for example, standardizing it to the "YYYY-MM-DD" format.

[0815] Step 6:

[0816] The server uses the pre-processed data to perform analysis. During the analysis, it compares past event data and event information from other stores to evaluate the effectiveness of the event. Specifically, it takes into account factors such as the number of participants, sales, and customer reactions.

[0817] Step 7:

[0818] The server then runs an optimization algorithm based on the analysis results, which takes into account past success stories and information from competitors to generate an effective event plan.

[0819] Step 8:

[0820] The device captures the user's face with a camera and sends the image to the emotion engine, which analyzes it and recognizes the user's emotional state.

[0821] Step 9:

[0822] The emotion engine analyzes the user's voice and facial expression data in real time to recognize emotions (e.g., joy, sadness, excitement, stress), allowing it to provide more personalized plans.

[0823] Step 10:

[0824] The server adjusts the content of the event plan suggestions based on the user's emotional data received from the emotion engine. For example, if the user is excited, it suggests adding activities, and if the user is stressed, it emphasizes relaxation elements.

[0825] Step 11:

[0826] The server generates an optimized event plan, which includes specific activity types, promotion methods, decoration ideas, etc.

[0827] Step 12:

[0828] The server transmits the generated optimization plan to the terminal, and the transmitted data is converted into a format that is easy for the user to understand.

[0829] Step 13:

[0830] The device displays the optimized event plan to the user, who can review the plan and make corrections and adjustments as needed, including emotional changes.

[0831] The above is the specific processing flow of this system, which allows the user to obtain an optimized event plan that reflects their own emotional state.

[0832] Example 2

[0833] 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."

[0834] Providing effective event plans for multiple commercial facilities requires the aggregation, analysis, and optimization of large amounts of event information. However, current systems do not adequately verify the consistency of input data or provide personalized optimization plans that include emotion recognition. Another issue is the difficulty of generating effective plans that take into account past event data and user emotion data.

[0835] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0836] In this invention, the server includes interface means for a user to input event information, means for checking the consistency of the event information and verifying errors, means for transmitting the data to the server after verifying that there are no errors, server and database means for receiving and storing the data transmitted from the terminal, means for preprocessing the stored data, analysis means for analyzing the data based on the preprocessed data and evaluating the effectiveness, means for executing an optimization algorithm based on the analysis results to generate an effective event plan, emotion recognition means for acquiring and analyzing user emotion data, means for adjusting the event plan based on the acquired emotion data, and display means for providing the optimized event plan to the user. This makes it possible to provide a more highly personalized optimization plan through input data consistency checking and emotion recognition.

[0837] "User" means a person or organization that utilizes the system to input event information and review optimized event plans.

[0838] "Interface means" refers to a means by which a user inputs event information, and includes, for example, a web form or an application interface.

[0839] The "integrity checking means" is a means for checking the integrity of input event information and verifying errors.

[0840] A "server" is a computer system that receives, stores, and processes data sent from a terminal.

[0841] The "database means" is a storage system for storing received event information.

[0842] "Preprocessing means" refers to means for standardizing the date format of stored data and supplementing missing data.

[0843] The "analysis means" is a means for comparing the pre-processed data with past event data and event information from other stores to evaluate the effectiveness.

[0844] The "optimization algorithm means" is a means for executing an optimization algorithm based on the analysis results and generating an effective event plan.

[0845] The "emotion recognition means" is a means for acquiring and analyzing the user's voice data and facial expression data to recognize the user's emotional state.

[0846] The "emotion data adjustment means" is a means for adjusting the content of the proposed event plan based on the acquired emotion data.

[0847] "Display means" refers to means for providing the optimized event plan to the user, and includes, for example, a display and a web interface.

[0848] The present invention is a system that collects event information from multiple commercial facilities, analyzes it, and optimizes it to provide effective event plans. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, it is possible to propose event plans based on the user's emotions. Specific embodiments for implementing this system are described below.

[0849] System configuration

[0850] The system consists of the following main components:

[0851] 1. Interface means: A means by which a user inputs event information. Examples include web-based forms and smartphone applications.

[0852] 2. Consistency checking means: A means for checking the consistency of the input event information and verifying errors.

[0853] 3. Server: A computer system that receives, stores, and processes data sent from the terminal.

[0854] 4. Database means: A storage system for storing received event information. Specifically, an SQL database (e.g., MySQL, PostgreSQL) is used.

[0855] 5. Preprocessing methods: Methods for standardizing the date format of stored data and filling in missing data. Python's Pandas library is frequently used.

[0856] 6. Analysis method: A method for evaluating the effectiveness of pre-processed data by comparing it with past event data and event information from other stores. The Scikit-learn library is mainly used.

[0857] 7. Optimization algorithm means: A means for executing an optimization algorithm based on the analysis results to generate an effective event plan. Genetic algorithms and linear programming are applied.

[0858] 8. Emotion recognition means: A means of acquiring and analyzing the user's voice data and facial expression data to recognize the user's emotional state. As a specific example, Microsoft Azure's emotion recognition API is used.

[0859] 9. Emotional data adjustment means: A means for adjusting the event plan based on the acquired emotional data.

[0860] 10. Display means: A means for providing the optimized event plan to the user, such as a web page or a mobile application interface.

[0861] Example

[0862] Example 1: Christmas Fair Data Entry

[0863] The user enters event information (e.g., "Tokyo branch, Christmas fair, starting December 1, 2023, ages 20-40, budget 1 million yen, staff 5") into an input form on the terminal.

[0864] The device checks the integrity of the information, verifies that there are no errors in date formats or numeric fields, and then sends the data to the server.

[0865] The server receives the data sent from the device and stores it in a database. It unifies the date format of the stored data and fills in any missing data.

[0866] Example 2: Data analysis and plan optimization

[0867] The server uses Scikit-learn to analyze data from past Christmas fairs and current input data, and evaluates the effectiveness of the fairs in terms of number of participants, sales, and customer reactions.

[0868] An effective event plan is generated using a genetic algorithm based on the analysis results obtained.

[0869] Example 3: Adjustment by Emotion Engine

[0870] The device's emotion engine acquires the user's facial expression and voice data and analyzes it using Microsoft Azure's emotion recognition API.

[0871] The server adjusts the event plan based on the acquired user emotional data. For example, if the user is feeling stressed, it will emphasize relaxation elements.

[0872] Examples of prompt statements

[0873] "Generate an effective event plan based on the event information and emotional data entered by the user. The user's input information is as follows: Store name: Tokyo branch, Event name: Christmas fair, Start date: December 1, 2023, Customer demographic: 20-40s, Budget: 1 million yen, Number of participants: 5. The user seems excited at the moment."

[0874] As described above, this system can provide more effective and personalized event plans based on the user's input data and emotional data.

[0875] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0876] Step 1:

[0877] The user enters event information into the device. Specifically, they enter data such as the event name, start date, store name, customer demographics, budget, and staffing into a web form or app. The device then checks the integrity of the entered data, verifying that the date format is correct, that numbers are appropriate, and confirming that there are no errors. If the entered data is valid, the device sends it to the server.

[0878] Input: Event information (e.g., "Tokyo branch, Christmas fair, starting December 1, 2023, ages 20-40, budget 1 million yen, staff 5")

[0879] Output: Event data that has been verified for integrity and sent to the server

[0880] Step 2:

[0881] The server receives the event data sent from the device and stores it in a database. The database also stores past event data, and the accumulated information is placed under comprehensive management. When saving, the server checks that the data is formatted correctly and reformats it if necessary.

[0882] Input: Event data sent from the device

[0883] Output: Event data stored in a database

[0884] Step 3:

[0885] The server preprocesses the stored data, which includes standardizing date formats, imputing missing data, cleaning text data, etc. For example, it uses the Python Pandas library to convert all dates to "YYYY-MM-DD" format and impute missing data with appropriate defaults or averages.

[0886] Input: Event data stored in the database

[0887] Output: A clean, pre-processed dataset

[0888] Step 4:

[0889] The server analyzes the preprocessed data. Specifically, it compares it with past event data and event information from other stores to evaluate metrics such as the number of participants, sales, and customer reactions. It then uses the Scikit-learn library to perform regression analysis and clustering to quantify the effectiveness of the event.

[0890] Input: A clean, pre-processed dataset

[0891] Output: Analysis results to evaluate the effectiveness

[0892] Step 5:

[0893] The server runs optimization algorithms based on the analysis results, using genetic algorithms and linear programming to generate effective event plans. For example, it incorporates elements of successful events to propose new approaches. It also takes into account data from competitors.

[0894] Input: Analysis results

[0895] Output: Optimized event plan

[0896] Step 6:

[0897] The emotion engine in the device acquires and analyzes the user's emotional data. It uses the device's camera and microphone to capture the user's facial expressions and voice, and analyzes them using Microsoft Azure's emotion recognition API. The acquired emotional data is sent to the server.

[0898] Input: User's facial expression data, voice data

[0899] Output: Analyzed user emotion data

[0900] Step 7:

[0901] The server adjusts the content of the optimized event plan based on the emotion data received from the emotion engine, for example, emphasizing relaxation elements if the user is stressed, or adding activities if the user is excited.

[0902] Input: Sentiment data from the emotion engine, optimized event plan

[0903] Output: An event plan adjusted to reflect the sentiment data.

[0904] Step 8:

[0905] The server sends the adjusted optimization event plan to the terminal, which then displays the received plan to the user. For example, the plan schedule and details of each element can be visually confirmed on a web interface. The user can review the plan and provide corrections or feedback as necessary.

[0906] Input: Event plan adjusted to reflect sentiment data

[0907] Output: The optimization event plan displayed to the user

[0908] This is the specific flow of the system's program processing. At each step, appropriate data processing and calculations are performed based on the input data, and ultimately an optimized event plan is provided to the user.

[0909] (Application example 2)

[0910] 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."

[0911] Conventional event planning systems have limitations in optimizing based on past event data, making it difficult to flexibly plan events based on individual user emotions and real-time feedback. Furthermore, they are unable to fully incorporate elements to prevent events from becoming stale, making it difficult to maximize the user experience. The objective of this invention is to solve these problems and provide a system that provides users with more effective and personalized event plans.

[0912] 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.

[0913] In this invention, the server includes a user interface means for inputting event information, a database means for accumulating event information, an analysis means for analyzing the event information stored in the database, an emotion recognition engine means for recognizing and analyzing user emotion data, an algorithm means for optimizing the event plan based on the results of the analysis by the analysis means and the emotion recognition engine means, and a display means for providing the optimized event plan to the user, thereby making it possible to provide a flexible event plan based on the user's emotions.

[0914] The "user interface means" is an interface for a user to input event information, and is a device or software that enables the exchange of information between the user and the system.

[0915] The "database means" is a system for collecting, storing, and managing various data including event information.

[0916] "Analysis means" refers to algorithms or programs that use event information stored in the database to analyze the effects and trends of events.

[0917] The "emotion recognition engine means" is a technology for recognizing emotions from the user's voice data and facial expression data, analyzing them, and reflecting them in the event plan.

[0918] "Algorithm Means" refers to the computational procedures or processes for generating an optimal event plan based on the Analysis Means and the Emotion Recognition Engine Means.

[0919] "Display means" refers to a device or interface for visually presenting the optimized event plan to the user.

[0920] The system of the present invention collects, analyzes, and optimizes event information to provide an effective event plan. This system aggregates and analyzes event information from multiple commercial facilities to generate an optimal event plan. It also has the ability to recognize user emotions and adjust the event plan based on the results.

[0921] System configuration

[0922] This system consists of the following main means:

[0923] 1. User Interface Methods

[0924] The user interface means is an interface for users to input event information, and is designed to allow information to be input via a terminal such as a smartphone, PC, or tablet.

[0925] 2. Database Means

[0926] The database means is a system for collecting, storing, and managing event information and related data, including past event data and data collected from other commercial facilities.

[0927] 3. Analysis method

[0928] The analysis means uses the event information stored in the database to analyze the effects and trends of the event, and also compares it with other similar events, providing a basis for generating optimal plans.

[0929] 4. Emotion Recognition Engine Means

[0930] The emotion recognition engine has the function of recognizing and analyzing emotions from the user's voice data and facial expression data. This engine collects emotion data in real time and transmits the analysis results to the server.

[0931] 5. Algorithmic Means

[0932] The algorithm means is a computational procedure or process used to optimize the event plan based on the results of the analysis means and the emotion recognition engine means, thereby optimizing the plan according to the user's emotional state.

[0933] 6. Display means

[0934] The display means is a device or interface for providing the optimized event plan to the user, and works in conjunction with the user interface means to visually display the plan.

[0935] Hardware and software used

[0936] 1. Hardware

[0937] Smartphone

[0938] Head-mounted display (HMD)

[0939] server

[0940] 2. Software

[0941] EmotionRecognitionEngine (emotion recognition software)

[0942] TextBlob (a library for natural language processing)

[0943] Data processing and calculation

[0944] The server first stores the event information entered through the user interface means in a database. The analysis means then uses this data to perform analysis to evaluate metrics such as the number of participants, sales, and customer reactions. The emotion recognition engine means then collects real-time emotion data from users and transmits the analysis results to the server. The algorithm means then integrates these analysis results to generate an optimal event plan. The optimized plan is then presented to the user through the display means.

[0945] Specific examples

[0946] Consider the data for a "Virtual Christmas Fair" as an example. A user uses a smartphone to input information such as "Virtual Christmas Fair, starting December 1, 2023, ages 20-40, budget 1 million yen, 5 staff, excited." In addition to this data, the system references past success stories and information on nearby events, and generates an optimal plan based on the user's emotional state.

[0947] Prompt Sentence Examples

[0948] "A user has entered plans for a virtual event. The event name is 'Virtual Christmas Fair' and the start date is December 1, 2023. The target demographic is people in their 20s-40s, the budget is 1 million yen, and the staffing is 5 people. The user's feedback included 'I'm excited.' Please optimize this virtual event based on sentiment data and past success stories."

[0949] Based on this example, the system can provide the user with an optimal event plan.

[0950] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0951] Step 1:

[0952] The user enters event information using a smartphone or computer, such as the event name, start date, target user demographic, budget, staffing, and feedback (e.g., "I'm excited").

[0953] Input: Event name, start date, target audience, budget, staffing, user feedback

[0954] Output: Formatted event information

[0955] Step 2:

[0956] The terminal checks the format of the entered information and verifies its integrity, for example checking that the date format is correct and that all required fields have been filled in.

[0957] Input: Event information entered by the user

[0958] Output: Event information with integrity confirmed

[0959] Step 3:

[0960] The terminal sends the verified event information to the server.

[0961] Input: Event information whose integrity has been verified

[0962] Output: Event information sent to the server

[0963] Step 4:

[0964] The server stores the received event information in a database.

[0965] Input: Event information sent to the server

[0966] Output: Event information stored in the database

[0967] Step 5:

[0968] The server preprocesses the stored data, specifically standardizing date formats and filling in missing data.

[0969] Input: Event information stored in the database

[0970] Output: Preprocessed event data

[0971] Step 6:

[0972] The server then analyzes the pre-processed data using analytical tools, comparing it with past event data from other commercial facilities and evaluating metrics such as the number of event attendees, sales, and customer reactions.

[0973] Input: Preprocessed event data

[0974] Output: Analysis results

[0975] Step 7:

[0976] The emotion recognition engine acquires and analyzes the user's voice data and facial expression data in real time to recognize the user's emotional state, and transmits the emotion data to the server.

[0977] Input: User's voice data, facial expression data

[0978] Output: User emotion data

[0979] Step 8:

[0980] The server integrates the emotional data with the analysis results and optimizes the event plan using algorithmic means: if the user gives feedback that they are "excited," additional activities will be considered; conversely, if the user gives feedback that they are "stressed," relaxation elements will be emphasized.

[0981] Input: Analysis results, user emotion data

[0982] Output: Optimized event plan

[0983] Step 9:

[0984] The server transmits the generated optimal event plan to the terminal.

[0985] Input: Optimized event plan

[0986] Output: Optimization event plan sent to the terminal

[0987] Step 10:

[0988] The device visually displays an optimized event plan to the user, including unique activities and new elements, and the user can review the plan and make any necessary adjustments.

[0989] Input: Optimization event plan sent to the terminal

[0990] Output: The optimization event plan displayed to the user

[0991] 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.

[0992] 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.

[0993] 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.

[0994] [Third embodiment]

[0995] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0996] 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.

[0997] 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).

[0998] 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.

[0999] 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.

[1000] 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).

[1001] 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.

[1002] 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.

[1003] 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.

[1004] 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.

[1005] 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.

[1006] 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."

[1007] The present invention is a system that collects event information from multiple commercial facilities, analyzes and optimizes it, and provides effective event plans. Specific embodiments of this system are described below.

[1008] System configuration

[1009] This system consists of a terminal for users to input event information, a server that stores and manages the data, an algorithm that analyzes the data, and an interface that displays the optimized event plan.

[1010] 1. Data Entry

[1011] The user inputs event information (e.g., store name, event name, start date, customer demographics, budget, and staffing) into the terminal.

[1012] The terminal checks the integrity of the information entered and verifies that there are no errors.

[1013] After verification, the terminal transmits the data to the server.

[1014] 2. Data Receipt and Storage

[1015] The server receives the data sent from the terminal and stores it in a database.

[1016] The database also includes information on past events, allowing for comprehensive data management.

[1017] 3. Data Preprocessing

[1018] The server preprocesses the stored data, specifically standardizing date formats and filling in missing data.

[1019] The preprocessed data is organized into analytical sets and temporarily stored.

[1020] 4. Data Analysis

[1021] The server uses analytical means to compare the event with past event data and surrounding event information to evaluate its effectiveness.

[1022] Specifically, metrics such as number of participants, sales, and customer response will be used.

[1023] 5. Running the optimization algorithm

[1024] The server runs an algorithm to optimize the event plan, taking into account past success stories and event information from nearby stores.

[1025] Generate new ideas and approaches to avoid getting stuck in a rut.

[1026] 6. Generating an optimized plan

[1027] The server generates a specific event plan based on the results of the optimization algorithm.

[1028] The plan includes types of activities, promotional methods, decoration ideas, and more.

[1029] 7. Data Presentation

[1030] The server transmits the optimized event plan to the terminal.

[1031] The terminal displays the optimization plan to the user.

[1032] The user reviews this plan and makes any necessary corrections or adjustments.

[1033] Specific examples

[1034] Data Entry

[1035] As an example, consider the data for the "Christmas fair held at the Tokyo branch."

[1036] The user enters the following information into the terminal: "Tokyo branch, Christmas fair, starting December 1, 2023, ages 20-40, budget 1 million yen, staff 5."

[1037] The terminal transmits the data to the server.

[1038] Data reception and storage

[1039] The server receives this data and stores it in a database.

[1040] Data Preprocessing

[1041] The server will unify the date format and fill in any missing data.

[1042] Data analysis

[1043] The server compares the current input data with past "Christmas Fair" data, and also references data from nearby branches in Yokohama and Osaka.

[1044] Running the optimization algorithm

[1045] The server takes into consideration past success stories and popular events at nearby stores to generate the optimal event plan.

[1046] Data presentation

[1047] The server sends the generated plan to the terminal, which displays it to the user.

[1048] The user checks the displayed plan and makes corrections as necessary.

[1049] In this way, the system provides an optimized event plan based on the user's input data. Specific operational procedures and application examples can be adjusted in detail as needed to accommodate a variety of events.

[1050] The processing flow will be explained below.

[1051] Step 1:

[1052] The user inputs event information into the terminal, including the store name, event name, start date, customer demographics, budget, and staffing.

[1053] Step 2:

[1054] The terminal checks the format of the entered data and verifies that there are no data entry errors, for example, validating date formats and numeric entries.

[1055] Step 3:

[1056] The device sends the verified data to the server, structured in a basic format (e.g., JSON, XML).

[1057] Step 4:

[1058] The server receives the data sent from the device and stores it in a database in a secure manner.

[1059] Step 5:

[1060] The server preprocesses the data stored in the database, including standardizing date formats and filling in missing data.

[1061] Step 6:

[1062] The server then uses the pre-processed data to perform an analysis, comparing it with past event data and event information from other stores, evaluating metrics such as attendance, sales, and customer response.

[1063] Step 7:

[1064] The server then runs an optimization algorithm based on the analysis results, which takes into account past success stories and information from competitors to generate an effective event plan.

[1065] Step 8:

[1066] The server generates an optimized event plan, which includes specific activity types, promotion methods, decoration ideas, etc.

[1067] Step 9:

[1068] The server sends the generated optimization plan to the device, where the data is converted into a user-friendly format.

[1069] Step 10:

[1070] The device displays the optimized event plan to the user, who can review the plan and make corrections or adjustments as needed.

[1071] The above is a detailed processing flow of this system, which allows users to easily utilize effective and fresh event plans.

[1072] Example 1

[1073] 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."

[1074] Conventional event planning systems have the problem of not being able to adequately check the consistency of event information or compare it with past event data, making it difficult to plan effective events. It is also difficult to generate new ideas and effectively optimize events to prevent them from becoming stale.

[1075] 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.

[1076] In this invention, the server includes a user interface means for a user to input event information, a verification means for checking the consistency of the event information, a database means for accumulating the event information, a preprocessing means for preprocessing the event information stored in the database, an analysis means for analyzing the event information and past event information, an algorithm means for optimizing an event plan based on the results of the analysis by the analysis means, and a display means for presenting the optimized event plan to the user, thereby enabling consistent event information management, effective event plan optimization based on past data, and new idea generation.

[1077] The "user interface means" is a function that provides an interface for the user to input event information.

[1078] The "verification means" is a function that checks the consistency of the input event information and verifies whether the format is correct.

[1079] The "database means" is a function for accumulating event information and storing it in a database.

[1080] The "preprocessing means" is a function for preprocessing the saved event information, standardizing the data format, and complementing missing data.

[1081] The "analysis means" is a function for comparing and analyzing event information with past event information and evaluating its effectiveness.

[1082] The "algorithm means" is a function for optimizing an event plan based on the analysis results and generating an effective event plan.

[1083] The "display means" is a function that provides the optimized event plan to the user and displays it so that the user can check and modify it.

[1084] MODE FOR CARRYING OUT THE INVENTION

[1085] The present invention is a system that collects event information from multiple commercial facilities, analyzes and optimizes it, and provides effective event plans. Specific embodiments of this system are described below.

[1086] System configuration

[1087] This system consists of a terminal for users to input event information, a server that stores and manages the data, an algorithm that analyzes the data, and an interface that displays the optimized event plan.

[1088] User Interface Means

[1089] The user starts the system and inputs event information into the terminal through the user interface means. Specific input items include the store name, event name, start date, customer demographics, budget, and staffing.

[1090] Examples:

[1091] The user enters the following information into the terminal: "Tokyo branch, Christmas fair, starting December 1, 2023, ages 20-40, budget 1 million yen, staff 5."

[1092] Verification Method

[1093] The terminal checks the integrity of the entered data and verifies that it is in the correct format. Based on the results of the validation, it may display an error message to prompt the user to make corrections.

[1094] Examples:

[1095] The terminal may display an error message stating "Start date format is invalid."

[1096] Database Means

[1097] Once verification is complete, the device sends the event information to the server, which then stores it in a database. The database also includes information on past events, enabling comprehensive data management.

[1098] Pretreatment means

[1099] The server preprocesses the stored data, including standardizing date formats and filling in missing data. The preprocessed data is temporarily saved as a set for analysis.

[1100] Examples:

[1101] The server unifies the date format "December 1, 2023" to the standard format "YYYY-MM-DD" and fills in the missing data.

[1102] Analysis means

[1103] The server uses analytical means to compare the event information with past event information, specifically using metrics such as the number of attendees, sales, and customer reactions to compare with past data.

[1104] Examples:

[1105] The server extracts data on Christmas fairs from the past five years and calculates the average number of attendees. It also references event data from nearby stores.

[1106] Algorithmic Means

[1107] The server runs an algorithm that optimizes the event plan, taking into account past success stories and information about events at nearby stores. The algorithm generates new ideas and approaches to avoid becoming repetitive.

[1108] Display means

[1109] The server sends the optimized event plan to the terminal, which displays the optimized plan to the user, who can review the displayed plan and make corrections or adjustments as necessary.

[1110] Examples:

[1111] The server sends the generated event plan to the terminal, and the terminal provides the user with a screen showing the "Christmas Fair Plan." The user then makes a minor adjustment, such as "I want to change only the budget to 500,000 yen."

[1112] Examples of prompts for generative AI models

[1113] "Using event information from nearby commercial facilities, we would like you to suggest optimal promotional methods and decoration ideas for a Christmas fair targeting people in their 20s to 40s."

[1114] In this way, the system provides an optimized event plan based on the user's input data. Specific operational procedures and application examples can be adjusted in detail as needed to accommodate a variety of events.

[1115] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1116] System program processing steps

[1117] Step 1: Data entry

[1118] The user starts the system and enters event information into the form on the screen. Input items include the store name, event name, start date, customer demographics, budget, and staffing. The terminal receives the input data from the user and checks its consistency. Specifically, it checks whether the date format is correct, whether the budget is an integer, etc. After consistency is confirmed, the terminal sends this data to the server.

[1119] Input: Event information entered by the user (store name, event name, start date, customer demographics, budget, staffing)

[1120] Data processing: consistency check (format check, numerical check, etc.)

[1121] Output: Sends event information with integrity confirmed to the server

[1122] Specific behavior:

[1123] The user enters "Tokyo branch, Christmas fair, starting December 1, 2023, ages 20-40, budget 1 million yen, staff 5" and clicks the send button. The device may display an error message saying "The date format is invalid."

[1124] Step 2: Receiving and storing data

[1125] The server receives the event information sent from the device. The received data is stored in the database. At this time, the integrity of the data is checked again and verification is performed before storing it in the database.

[1126] Input: Event information sent from the device

[1127] Data processing: Data integrity verification, saving to database

[1128] Output: Event information stored in the database

[1129] Specific behavior:

[1130] The server saves the received event information (Tokyo branch, Christmas fair, starting December 1, 2023, ages 20-40, budget 1 million yen, staff 5) in the database and records the saving in the log.

[1131] Step 3: Preprocessing the data

[1132] The server preprocesses the data stored in the database, unifying date formats, filling in missing data, etc. The preprocessed data is temporarily saved as a dataset for analysis.

[1133] Input: Event information stored in the database

[1134] Data processing: unifying date formats, filling in missing data

[1135] Output: Preprocessed dataset for analysis

[1136] Specific behavior:

[1137] The server standardizes the date "December 1, 2023" to the standard format "YYYY-MM-DD" and completes the missing information "Budget 1 million yen."

[1138] Step 4: Data analysis

[1139] The server uses analytics to analyze the stored event information, compare past event information with current data, and evaluate the effectiveness of events based on metrics such as attendance, sales, and customer response.

[1140] Input: Preprocessed dataset for analysis

[1141] Data processing: Metric calculation (number of participants, sales, customer response, etc.), comparison with past data

[1142] Output: Analysis results

[1143] Specific behavior:

[1144] The server extracts data on Christmas fairs from the past five years, calculates the average number of attendees, median sales, and also references event data from nearby stores.

[1145] Step 5: Run the optimization algorithm

[1146] The server then runs an optimization algorithm based on the analysis results. This algorithm optimizes the event plan, taking into account past success stories and data from nearby stores. To prevent events from becoming stale, the algorithm also generates new ideas and approaches.

[1147] Input: Analysis results

[1148] Data processing: Implementing optimization algorithms and generating new ideas and approaches

[1149] Output: Optimized event plan

[1150] Specific behavior:

[1151] The server runs an AI algorithm to suggest the best date, time and promotion method.

[1152] Step 6: Generate an optimized plan

[1153] Based on the results of the optimization algorithm, the server generates a specific event plan, including the types of activities, promotion methods, and decoration ideas.

[1154] Input: Optimized event plan

[1155] Data processing: Detailed event planning (activities, promotions, decorations, etc.)

[1156] Output: A detailed event plan

[1157] Specific behavior:

[1158] The server generates plans such as "Activity: Lighting up the Christmas tree," "Promotion method: Social media advertising," and "Decoration idea: In-store illumination."

[1159] Step 7: Data Presentation

[1160] The server sends the generated optimized event plan to the terminal, which displays the plan to the user, allowing the user to review the contents and make corrections or adjustments as necessary.

[1161] Input: Detailed event plan

[1162] Data processing: Display of plan, user confirmation and modification

[1163] Output: Final approved or revised event plan

[1164] Specific behavior:

[1165] The server sends the generated plan to the terminal, and the terminal provides the user with a screen showing the "Christmas Fair Plan." The user can then make modifications, such as "changing the budget to 500,000 yen."

[1166] (Application example 1)

[1167] 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."

[1168] Event management requires managing a wide range of information and making quick decisions. Particularly when multiple events are being held simultaneously at multiple commercial facilities, it can be difficult to grasp the status of each event and participants' reactions in real time and take optimal action. It's also important to effectively utilize past event data and the status of surrounding events to formulate plans to prevent events from becoming repetitive.

[1169] 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.

[1170] In this invention, the server includes a user interface means for inputting event information for multiple commercial facilities, a database means for accumulating the event information, an analysis means for analyzing the event information stored in the database, an algorithm means for optimizing an event plan based on the results of the analysis by the analysis means, a means for real-time data input and feedback using a smartphone, smart glasses, or a head-mounted display, and a display means for providing the optimized event plan to a user, thereby utilizing the latest technology in event management to enable fast and effective planning and management.

[1171] "Multiple commercial facilities" refers to commercial facilities or stores located in multiple different locations.

[1172] "Event information" is detailed information about various events held at commercial facilities, including, for example, store names, event names, start dates, customer demographics, budgets, and staffing levels.

[1173] "User interface means" refers to an interface through which a user inputs information or receives feedback from the system, and includes devices such as smartphones, smart glasses, and head-mounted displays.

[1174] "Database means" refers to a database system for storing and managing collected event information.

[1175] "Analysis means" refers to the systems and algorithms used to analyze, compare, and evaluate the event information stored in the database.

[1176] "Algorithmic means" refers to an algorithm for generating an optimal event plan, taking into account past event data and surrounding event circumstances.

[1177] "Means for real-time data input and feedback" refers to a system that allows data input and feedback to be performed in real time during the operation of an event using a smartphone, smart glasses, or head-mounted display.

[1178] "Display" refers to the display or screen used to present the optimized event plan to the user.

[1179] A "generative AI model" refers to a model that uses artificial intelligence technology to generate new ideas and optimization plans.

[1180] A "prompt" is a series of instructions or questions that are input to a generative AI model and are used as initial input for the AI ​​to generate a response.

[1181] This invention is a system that provides effective event plans by collecting, analyzing, and optimizing event information from multiple commercial facilities. The system consists of a terminal where users can input event information, a server that stores and manages the data, an algorithm that analyzes the data, and an interface that displays the optimized event plan.

[1182] System configuration

[1183] This system consists of the following elements:

[1184] 1. Data Entry

[1185] Users input event information (e.g., store name, event name, start date, customer demographics, budget, and staffing) into the terminal, which then inputs and provides feedback in real time using a smartphone, smart glasses, or head-mounted display.

[1186] 2. Data Receipt and Storage

[1187] The server receives the data sent from the device and stores it in a database, which also includes past event information, enabling comprehensive data management.

[1188] 3. Data Preprocessing

[1189] The server preprocesses the stored data, specifically standardizing date formats and filling in missing data, and organizes the preprocessed data into sets for analysis and temporarily stores them.

[1190] 4. Data Analysis

[1191] The server uses analytical tools to compare the results with past event data and information about surrounding events to evaluate the effectiveness of the event, specifically using metrics such as the number of participants, sales, and customer reactions.

[1192] 5. Running the optimization algorithm

[1193] The server runs an algorithm that optimizes the event plan, taking into account past success stories and event information from nearby stores, and uses generative AI models and prompts to generate new ideas and approaches.

[1194] 6. Generating an optimized plan

[1195] Based on the results of the optimization algorithm, the server generates a specific event plan, including the types of activities, promotion methods, and decoration ideas.

[1196] 7. Data Presentation

[1197] The server sends the optimized event plan to the device, which displays it to the user, who can review the plan and make corrections or adjustments as necessary.

[1198] Hardware and software used

[1199] Hardware: Smartphone (iOS / Android), smart glasses, head-mounted display (e.g. Meta Quest 2)

[1200] software:

[1201] Data entry: Provide a user interface using Swift / Kotlin.

[1202] Data analysis: Data processing and calculations are performed using Python (pandas, scikit-learn).

[1203] Visual feedback: Provide real-time visual feedback using Unity(C).

[1204] Specific examples of program processing

[1205] For example, consider a scenario in which a Christmas fair is held at the Tokyo branch.

[1206] The user uses a smartphone to enter information such as "Tokyo branch, Christmas fair, starting December 1, 2023, ages 20-40, budget 1 million yen, 5 staff." The device then sends this data to the server, which compares it with data from past Christmas fairs and generates a new event plan.

[1207] Example prompts for generative AI models

[1208] "We're holding a Christmas fair at our Tokyo branch. Please tell us the best event plan based on past event data. The data is as follows: Store name: Tokyo branch, Event name: Christmas fair, Start date: December 1, 2023, Customer demographic: 20-40s, Budget: 1 million yen, Staff: 5 people."

[1209] In this way, the system provides an optimized event plan based on the user's input data. Specific operational procedures and application examples can be adjusted as needed to accommodate a variety of events.

[1210] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1211] Step 1:

[1212] The user enters the event information.

[1213] For example, the information to be entered might be "Tokyo branch, Christmas fair, starting December 1, 2023, ages 20-40, budget 1 million yen, staff 5."

[1214] This is done in real time using a smartphone, smart glasses, or a head-mounted display.

[1215] The terminal verifies this information to ensure that it is error-free.

[1216] Step 2:

[1217] The terminal transmits the verified event information to the server.

[1218] The data sent includes detailed event information (store name, event name, start date, customer demographics, budget, and staffing).

[1219] The server receives the data and stores it in a database, which also stores past event data, enabling comprehensive data management.

[1220] Step 3:

[1221] The server preprocesses the stored data.

[1222] Specifically, the system will standardize date formats and complement missing data. For example, data with different formats for December 1, 2023 will be standardized and incomplete customer demographic data will be complemented.

[1223] The preprocessed data is organized into analytical sets and temporarily stored.

[1224] Step 4:

[1225] The server analyzes the stored event data using an analysis means.

[1226] Metrics such as number of participants, sales, and customer response are used for analysis.

[1227] For example, compare sales data from past Christmas fairs with information about the current Christmas fair.

[1228] The server evaluates the effectiveness of the current event based on the analysis results.

[1229] Step 5:

[1230] The server runs an optimization algorithm using the generative AI model.

[1231] For example, by inputting prompt statements that take into account past success stories and surrounding event information into the AI ​​model, the optimal event plan can be generated.

[1232] Example prompt: "We are holding a Christmas fair at our Tokyo branch. Please tell us the best event plan based on past event data. The data is as follows: store name: Tokyo branch, event name: Christmas fair, start date: December 1, 2023, customer demographic: 20-40s, budget: 1 million yen, number of staff: 5 people."

[1233] Step 6:

[1234] The server creates a specific event plan based on the generated optimized event plan.

[1235] The plan includes, for example, types of activities, promotional methods, decoration ideas, etc.

[1236] This will allow the overall structure and management policy of the event to be concretely defined.

[1237] Step 7:

[1238] The server transmits the generated event plan to the terminal.

[1239] The terminal displays this plan to the user, who can review the plan and make any necessary modifications.

[1240] For example, feedback such as "Additional staff needed in Area A" can be received through a head-mounted display.

[1241] These steps enable the system to collect, analyze, optimize, and provide feedback in real time to ensure effective event management.

[1242] 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.

[1243] The present invention is a system that collects event information from multiple commercial facilities, analyzes it, and optimizes it to provide effective event plans. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, it is possible to propose event plans based on the user's emotions. A specific embodiment of this system is described below.

[1244] System configuration

[1245] This system consists of a terminal where users can input event information, a server that stores and manages the data, an algorithm that analyzes the data, an interface that displays an optimized event plan, and an emotion engine that recognizes the user's emotions.

[1246] 1. Data Entry

[1247] The user inputs event information (e.g., store name, event name, start date, customer demographics, budget, and staffing) into the terminal.

[1248] The terminal checks the integrity of the information entered and verifies that there are no errors.

[1249] After verification, the terminal transmits the data to the server.

[1250] 2. Data Receipt and Storage

[1251] The server receives the data sent from the terminal and stores it in a database.

[1252] The database also includes information on past events, allowing for comprehensive data management.

[1253] 3. Data Preprocessing

[1254] The server preprocesses the stored data, specifically standardizing date formats and filling in missing data.

[1255] The preprocessed data is organized into analytical sets and temporarily stored.

[1256] 4. Data Analysis

[1257] The server uses analytical means to compare the event with past event data and event information from other stores to evaluate its effectiveness.

[1258] Specifically, metrics such as the number of participants, sales, and customer response will be evaluated.

[1259] 5. Running the optimization algorithm

[1260] The server then runs an optimization algorithm based on the analysis results, which takes into account past success stories and information from competitors to generate an effective event plan.

[1261] Generate new ideas and approaches to avoid getting stuck in a rut.

[1262] 6. Operation of the Emotion Engine

[1263] The emotion engine installed in the device acquires the user's voice data and facial expression data, analyzes this data, and recognizes the user's emotional state.

[1264] The recognized emotions are sent to the server in real time.

[1265] 7. Generating an optimized plan

[1266] The server adjusts the content of the event plan suggestions based on the user's emotional data received from the emotion engine. For example, if the user is excited, it suggests adding an activity, and if the user is stressed, it emphasizes relaxation elements.

[1267] 8. Data Presentation

[1268] The server transmits the generated optimized event plan to the terminal.

[1269] The device displays the optimization plan to the user, who can review it and make corrections or adjustments as needed.

[1270] Specific examples

[1271] Data Entry

[1272] As an example, consider the data for the "Christmas fair held at the Tokyo branch."

[1273] The user enters the following information into the terminal: "Tokyo branch, Christmas fair, starting December 1, 2023, ages 20-40, budget 1 million yen, staff 5."

[1274] The terminal transmits the data to the server.

[1275] Data reception and storage

[1276] The server receives this data and stores it in a database.

[1277] Data Preprocessing

[1278] The server will unify the date format and fill in any missing data.

[1279] Data analysis

[1280] The server compares the current input data with past "Christmas Fair" data, and also references data from nearby branches in Yokohama and Osaka.

[1281] Running the optimization algorithm

[1282] The server takes into consideration past success stories and popular events at nearby stores to generate the optimal event plan.

[1283] Emotion Engine Operation

[1284] The emotion engine in the device analyzes the user's facial expression data and determines whether the user is satisfied.

[1285] The analysis results are sent to a server and used to adjust the event plan.

[1286] Data presentation

[1287] The server sends the generated plan to the terminal, which displays it to the user.

[1288] The user checks the displayed plan and makes corrections as necessary.

[1289] In this way, the system can provide more effective and personalized event plans based on the user's input data and emotional data. Specific operation procedures and application examples can be adjusted in detail as needed to accommodate a variety of events.

[1290] The processing flow will be explained below.

[1291] Step 1:

[1292] The user inputs event information (e.g., store name, event name, start date, customer demographics, budget, and staffing) into the terminal. By inputting the event information accurately, the system can perform an appropriate analysis.

[1293] Step 2:

[1294] The terminal performs formal checks on the information entered to ensure there are no data entry errors, such as checking date formats and numbers.

[1295] Step 3:

[1296] The terminal sends the verified data to the server, adding a necessary margin to the data to prevent errors.

[1297] Step 4:

[1298] The server receives the data sent from the device and immediately stores it in a database.

[1299] Step 5:

[1300] The server preprocesses the data stored in the database, including standardizing the date format and filling in missing data, for example, standardizing it to the "YYYY-MM-DD" format.

[1301] Step 6:

[1302] The server uses the pre-processed data to perform analysis. During the analysis, it compares past event data and event information from other stores to evaluate the effectiveness of the event. Specifically, it takes into account factors such as the number of participants, sales, and customer reactions.

[1303] Step 7:

[1304] The server then runs an optimization algorithm based on the analysis results, which takes into account past success stories and information from competitors to generate an effective event plan.

[1305] Step 8:

[1306] The device captures the user's face with a camera and sends the image to the emotion engine, which analyzes it and recognizes the user's emotional state.

[1307] Step 9:

[1308] The emotion engine analyzes the user's voice and facial expression data in real time to recognize emotions (e.g., joy, sadness, excitement, stress), allowing it to provide more personalized plans.

[1309] Step 10:

[1310] The server adjusts the content of the event plan suggestions based on the user's emotional data received from the emotion engine. For example, if the user is excited, it suggests adding activities, and if the user is stressed, it emphasizes relaxation elements.

[1311] Step 11:

[1312] The server generates an optimized event plan, which includes specific activity types, promotion methods, decoration ideas, etc.

[1313] Step 12:

[1314] The server transmits the generated optimization plan to the terminal, and the transmitted data is converted into a format that is easy for the user to understand.

[1315] Step 13:

[1316] The device displays the optimized event plan to the user, who can review the plan and make corrections and adjustments as needed, including emotional changes.

[1317] The above is the specific processing flow of this system, which allows the user to obtain an optimized event plan that reflects their own emotional state.

[1318] Example 2

[1319] 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."

[1320] Providing effective event plans for multiple commercial facilities requires the aggregation, analysis, and optimization of large amounts of event information. However, current systems do not adequately verify the consistency of input data or provide personalized optimization plans that include emotion recognition. Another issue is the difficulty of generating effective plans that take into account past event data and user emotion data.

[1321] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1322] In this invention, the server includes interface means for a user to input event information, means for checking the consistency of the event information and verifying errors, means for transmitting the data to the server after verifying that there are no errors, server and database means for receiving and storing the data transmitted from the terminal, means for preprocessing the stored data, analysis means for analyzing the data based on the preprocessed data and evaluating the effectiveness, means for executing an optimization algorithm based on the analysis results to generate an effective event plan, emotion recognition means for acquiring and analyzing user emotion data, means for adjusting the event plan based on the acquired emotion data, and display means for providing the optimized event plan to the user. This makes it possible to provide a more highly personalized optimization plan through input data consistency checking and emotion recognition.

[1323] "User" means a person or organization that utilizes the system to input event information and review optimized event plans.

[1324] "Interface means" refers to a means by which a user inputs event information, and includes, for example, a web form or an application interface.

[1325] The "integrity checking means" is a means for checking the integrity of input event information and verifying errors.

[1326] A "server" is a computer system that receives, stores, and processes data sent from a terminal.

[1327] The "database means" is a storage system for storing received event information.

[1328] "Preprocessing means" refers to means for standardizing the date format of stored data and supplementing missing data.

[1329] The "analysis means" is a means for comparing the pre-processed data with past event data and event information from other stores to evaluate the effectiveness.

[1330] The "optimization algorithm means" is a means for executing an optimization algorithm based on the analysis results and generating an effective event plan.

[1331] The "emotion recognition means" is a means for acquiring and analyzing the user's voice data and facial expression data to recognize the user's emotional state.

[1332] The "emotion data adjustment means" is a means for adjusting the content of the proposed event plan based on the acquired emotion data.

[1333] "Display means" refers to means for providing the optimized event plan to the user, and includes, for example, a display and a web interface.

[1334] The present invention is a system that collects event information from multiple commercial facilities, analyzes it, and optimizes it to provide effective event plans. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, it is possible to propose event plans based on the user's emotions. Specific embodiments for implementing this system are described below.

[1335] System configuration

[1336] The system consists of the following main components:

[1337] 1. Interface means: A means by which a user inputs event information. Examples include web-based forms and smartphone applications.

[1338] 2. Consistency checking means: A means for checking the consistency of the input event information and verifying errors.

[1339] 3. Server: A computer system that receives, stores, and processes data sent from the terminal.

[1340] 4. Database means: A storage system for storing received event information. Specifically, an SQL database (e.g., MySQL, PostgreSQL) is used.

[1341] 5. Preprocessing methods: Methods for standardizing the date format of stored data and filling in missing data. Python's Pandas library is frequently used.

[1342] 6. Analysis method: A method for evaluating the effectiveness of pre-processed data by comparing it with past event data and event information from other stores. The Scikit-learn library is mainly used.

[1343] 7. Optimization algorithm means: A means for executing an optimization algorithm based on the analysis results to generate an effective event plan. Genetic algorithms and linear programming are applied.

[1344] 8. Emotion recognition means: A means of acquiring and analyzing the user's voice data and facial expression data to recognize the user's emotional state. As a specific example, Microsoft Azure's emotion recognition API is used.

[1345] 9. Emotional data adjustment means: A means for adjusting the event plan based on the acquired emotional data.

[1346] 10. Display means: A means for providing the optimized event plan to the user, such as a web page or a mobile application interface.

[1347] Example

[1348] Example 1: Christmas Fair Data Entry

[1349] The user enters event information (e.g., "Tokyo branch, Christmas fair, starting December 1, 2023, ages 20-40, budget 1 million yen, staff 5") into an input form on the terminal.

[1350] The device checks the integrity of the information, verifies that there are no errors in date formats or numeric fields, and then sends the data to the server.

[1351] The server receives the data sent from the device and stores it in a database. It unifies the date format of the stored data and fills in any missing data.

[1352] Example 2: Data analysis and plan optimization

[1353] The server uses Scikit-learn to analyze data from past Christmas fairs and current input data, and evaluates the effectiveness of the fairs in terms of number of participants, sales, and customer reactions.

[1354] An effective event plan is generated using a genetic algorithm based on the analysis results obtained.

[1355] Example 3: Adjustment by Emotion Engine

[1356] The device's emotion engine acquires the user's facial expression and voice data and analyzes it using Microsoft Azure's emotion recognition API.

[1357] The server adjusts the event plan based on the acquired user emotional data. For example, if the user is feeling stressed, it will emphasize relaxation elements.

[1358] Examples of prompt statements

[1359] "Generate an effective event plan based on the event information and emotional data entered by the user. The user's input information is as follows: Store name: Tokyo branch, Event name: Christmas fair, Start date: December 1, 2023, Customer demographic: 20-40s, Budget: 1 million yen, Number of participants: 5. The user seems excited at the moment."

[1360] As described above, this system can provide more effective and personalized event plans based on the user's input data and emotional data.

[1361] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1362] Step 1:

[1363] The user enters event information into the device. Specifically, they enter data such as the event name, start date, store name, customer demographics, budget, and staffing into a web form or app. The device then checks the integrity of the entered data, verifying that the date format is correct, that numbers are appropriate, and confirming that there are no errors. If the entered data is valid, the device sends it to the server.

[1364] Input: Event information (e.g., "Tokyo branch, Christmas fair, starting December 1, 2023, ages 20-40, budget 1 million yen, staff 5")

[1365] Output: Event data that has been verified for integrity and sent to the server

[1366] Step 2:

[1367] The server receives the event data sent from the device and stores it in a database. The database also stores past event data, and the accumulated information is placed under comprehensive management. When saving, the server checks that the data is formatted correctly and reformats it if necessary.

[1368] Input: Event data sent from the device

[1369] Output: Event data stored in a database

[1370] Step 3:

[1371] The server preprocesses the stored data, which includes standardizing date formats, imputing missing data, cleaning text data, etc. For example, it uses the Python Pandas library to convert all dates to "YYYY-MM-DD" format and impute missing data with appropriate defaults or averages.

[1372] Input: Event data stored in the database

[1373] Output: A clean, pre-processed dataset

[1374] Step 4:

[1375] The server analyzes the preprocessed data. Specifically, it compares it with past event data and event information from other stores to evaluate metrics such as the number of participants, sales, and customer reactions. It then uses the Scikit-learn library to perform regression analysis and clustering to quantify the effectiveness of the event.

[1376] Input: A clean, pre-processed dataset

[1377] Output: Analysis results to evaluate the effectiveness

[1378] Step 5:

[1379] The server runs optimization algorithms based on the analysis results, using genetic algorithms and linear programming to generate effective event plans. For example, it incorporates elements of successful events to propose new approaches. It also takes into account data from competitors.

[1380] Input: Analysis results

[1381] Output: Optimized event plan

[1382] Step 6:

[1383] The emotion engine in the device acquires and analyzes the user's emotional data. It uses the device's camera and microphone to capture the user's facial expressions and voice, and analyzes them using Microsoft Azure's emotion recognition API. The acquired emotional data is sent to the server.

[1384] Input: User's facial expression data, voice data

[1385] Output: Analyzed user emotion data

[1386] Step 7:

[1387] The server adjusts the content of the optimized event plan based on the emotion data received from the emotion engine, for example, emphasizing relaxation elements if the user is stressed, or adding activities if the user is excited.

[1388] Input: Sentiment data from the emotion engine, optimized event plan

[1389] Output: An event plan adjusted to reflect the sentiment data.

[1390] Step 8:

[1391] The server sends the adjusted optimization event plan to the terminal, which then displays the received plan to the user. For example, the plan schedule and details of each element can be visually confirmed on a web interface. The user can review the plan and provide corrections or feedback as necessary.

[1392] Input: Event plan adjusted to reflect sentiment data

[1393] Output: The optimization event plan displayed to the user

[1394] This is the specific flow of the system's program processing. At each step, appropriate data processing and calculations are performed based on the input data, and ultimately an optimized event plan is provided to the user.

[1395] (Application example 2)

[1396] 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."

[1397] Conventional event planning systems have limitations in optimizing based on past event data, making it difficult to flexibly plan events based on individual user emotions and real-time feedback. Furthermore, they are unable to fully incorporate elements to prevent events from becoming stale, making it difficult to maximize the user experience. The objective of this invention is to solve these problems and provide a system that provides users with more effective and personalized event plans.

[1398] 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.

[1399] In this invention, the server includes a user interface means for inputting event information, a database means for accumulating event information, an analysis means for analyzing the event information stored in the database, an emotion recognition engine means for recognizing and analyzing user emotion data, an algorithm means for optimizing the event plan based on the results of the analysis by the analysis means and the emotion recognition engine means, and a display means for providing the optimized event plan to the user, thereby making it possible to provide a flexible event plan based on the user's emotions.

[1400] The "user interface means" is an interface for a user to input event information, and is a device or software that enables the exchange of information between the user and the system.

[1401] The "database means" is a system for collecting, storing, and managing various data including event information.

[1402] "Analysis means" refers to algorithms or programs that use event information stored in the database to analyze the effects and trends of events.

[1403] The "emotion recognition engine means" is a technology for recognizing emotions from the user's voice data and facial expression data, analyzing them, and reflecting them in the event plan.

[1404] "Algorithm Means" refers to the computational procedures or processes for generating an optimal event plan based on the Analysis Means and the Emotion Recognition Engine Means.

[1405] "Display means" refers to a device or interface for visually presenting the optimized event plan to the user.

[1406] The system of the present invention collects, analyzes, and optimizes event information to provide an effective event plan. This system aggregates and analyzes event information from multiple commercial facilities to generate an optimal event plan. It also has the ability to recognize user emotions and adjust the event plan based on the results.

[1407] System configuration

[1408] This system consists of the following main means:

[1409] 1. User Interface Methods

[1410] The user interface means is an interface for users to input event information, and is designed to allow information to be input via a terminal such as a smartphone, PC, or tablet.

[1411] 2. Database Means

[1412] The database means is a system for collecting, storing, and managing event information and related data, including past event data and data collected from other commercial facilities.

[1413] 3. Analysis method

[1414] The analysis means uses the event information stored in the database to analyze the effects and trends of the event, and also compares it with other similar events, providing a basis for generating optimal plans.

[1415] 4. Emotion Recognition Engine Means

[1416] The emotion recognition engine has the function of recognizing and analyzing emotions from the user's voice data and facial expression data. This engine collects emotion data in real time and transmits the analysis results to the server.

[1417] 5. Algorithmic Means

[1418] The algorithm means is a computational procedure or process used to optimize the event plan based on the results of the analysis means and the emotion recognition engine means, thereby optimizing the plan according to the user's emotional state.

[1419] 6. Display means

[1420] The display means is a device or interface for providing the optimized event plan to the user, and works in conjunction with the user interface means to visually display the plan.

[1421] Hardware and software used

[1422] 1. Hardware

[1423] Smartphone

[1424] Head-mounted display (HMD)

[1425] server

[1426] 2. Software

[1427] EmotionRecognitionEngine (emotion recognition software)

[1428] TextBlob (a library for natural language processing)

[1429] Data processing and calculation

[1430] The server first stores the event information entered through the user interface means in a database. The analysis means then uses this data to perform analysis to evaluate metrics such as the number of participants, sales, and customer reactions. The emotion recognition engine means then collects real-time emotion data from users and transmits the analysis results to the server. The algorithm means then integrates these analysis results to generate an optimal event plan. The optimized plan is then presented to the user through the display means.

[1431] Specific examples

[1432] Consider the data for a "Virtual Christmas Fair" as an example. A user uses a smartphone to input information such as "Virtual Christmas Fair, starting December 1, 2023, ages 20-40, budget 1 million yen, 5 staff, excited." In addition to this data, the system references past success stories and information on nearby events, and generates an optimal plan based on the user's emotional state.

[1433] Prompt Sentence Examples

[1434] "A user has entered plans for a virtual event. The event name is 'Virtual Christmas Fair' and the start date is December 1, 2023. The target demographic is people in their 20s-40s, the budget is 1 million yen, and the staffing is 5 people. The user's feedback included 'I'm excited.' Please optimize this virtual event based on sentiment data and past success stories."

[1435] Based on this example, the system can provide the user with an optimal event plan.

[1436] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1437] Step 1:

[1438] The user enters event information using a smartphone or computer, such as the event name, start date, target user demographic, budget, staffing, and feedback (e.g., "I'm excited").

[1439] Input: Event name, start date, target audience, budget, staffing, user feedback

[1440] Output: Formatted event information

[1441] Step 2:

[1442] The terminal checks the format of the entered information and verifies its integrity, for example checking that the date format is correct and that all required fields have been filled in.

[1443] Input: Event information entered by the user

[1444] Output: Event information with integrity confirmed

[1445] Step 3:

[1446] The terminal sends the verified event information to the server.

[1447] Input: Event information whose integrity has been verified

[1448] Output: Event information sent to the server

[1449] Step 4:

[1450] The server stores the received event information in a database.

[1451] Input: Event information sent to the server

[1452] Output: Event information stored in the database

[1453] Step 5:

[1454] The server preprocesses the stored data, specifically standardizing date formats and filling in missing data.

[1455] Input: Event information stored in the database

[1456] Output: Preprocessed event data

[1457] Step 6:

[1458] The server then analyzes the pre-processed data using analytical tools, comparing it with past event data from other commercial facilities and evaluating metrics such as the number of event attendees, sales, and customer reactions.

[1459] Input: Preprocessed event data

[1460] Output: Analysis results

[1461] Step 7:

[1462] The emotion recognition engine acquires and analyzes the user's voice data and facial expression data in real time to recognize the user's emotional state, and transmits the emotion data to the server.

[1463] Input: User's voice data, facial expression data

[1464] Output: User emotion data

[1465] Step 8:

[1466] The server integrates the emotional data with the analysis results and optimizes the event plan using algorithmic means: if the user gives feedback that they are "excited," additional activities will be considered; conversely, if the user gives feedback that they are "stressed," relaxation elements will be emphasized.

[1467] Input: Analysis results, user emotion data

[1468] Output: Optimized event plan

[1469] Step 9:

[1470] The server transmits the generated optimal event plan to the terminal.

[1471] Input: Optimized event plan

[1472] Output: Optimization event plan sent to the terminal

[1473] Step 10:

[1474] The device visually displays an optimized event plan to the user, including unique activities and new elements, and the user can review the plan and make any necessary adjustments.

[1475] Input: Optimization event plan sent to the terminal

[1476] Output: The optimization event plan displayed to the user

[1477] 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.

[1478] 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.

[1479] 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.

[1480] [Fourth embodiment]

[1481] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1482] 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.

[1483] 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).

[1484] 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.

[1485] 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.

[1486] 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).

[1487] 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.

[1488] 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.

[1489] 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.

[1490] 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.

[1491] 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.

[1492] 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.

[1493] 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."

[1494] The present invention is a system that collects event information from multiple commercial facilities, analyzes and optimizes it, and provides effective event plans. Specific embodiments of this system are described below.

[1495] System configuration

[1496] This system consists of a terminal for users to input event information, a server that stores and manages the data, an algorithm that analyzes the data, and an interface that displays the optimized event plan.

[1497] 1. Data Entry

[1498] The user inputs event information (e.g., store name, event name, start date, customer demographics, budget, and staffing) into the terminal.

[1499] The terminal checks the integrity of the information entered and verifies that there are no errors.

[1500] After verification, the terminal transmits the data to the server.

[1501] 2. Data Receipt and Storage

[1502] The server receives the data sent from the terminal and stores it in a database.

[1503] The database also includes information on past events, allowing for comprehensive data management.

[1504] 3. Data Preprocessing

[1505] The server preprocesses the stored data, specifically standardizing date formats and filling in missing data.

[1506] The preprocessed data is organized into analytical sets and temporarily stored.

[1507] 4. Data Analysis

[1508] The server uses analytical means to compare the event with past event data and surrounding event information to evaluate its effectiveness.

[1509] Specifically, metrics such as number of participants, sales, and customer response will be used.

[1510] 5. Running the optimization algorithm

[1511] The server runs an algorithm to optimize the event plan, taking into account past success stories and event information from nearby stores.

[1512] Generate new ideas and approaches to avoid getting stuck in a rut.

[1513] 6. Generating an optimized plan

[1514] The server generates a specific event plan based on the results of the optimization algorithm.

[1515] The plan includes types of activities, promotional methods, decoration ideas, and more.

[1516] 7. Data Presentation

[1517] The server transmits the optimized event plan to the terminal.

[1518] The terminal displays the optimization plan to the user.

[1519] The user reviews this plan and makes any necessary corrections or adjustments.

[1520] Specific examples

[1521] Data Entry

[1522] As an example, consider the data for the "Christmas fair held at the Tokyo branch."

[1523] The user enters the following information into the terminal: "Tokyo branch, Christmas fair, starting December 1, 2023, ages 20-40, budget 1 million yen, staff 5."

[1524] The terminal transmits the data to the server.

[1525] Data reception and storage

[1526] The server receives this data and stores it in a database.

[1527] Data Preprocessing

[1528] The server will unify the date format and fill in any missing data.

[1529] Data analysis

[1530] The server compares the current input data with past "Christmas Fair" data, and also references data from nearby branches in Yokohama and Osaka.

[1531] Running the optimization algorithm

[1532] The server takes into consideration past success stories and popular events at nearby stores to generate the optimal event plan.

[1533] Data presentation

[1534] The server sends the generated plan to the terminal, which displays it to the user.

[1535] The user checks the displayed plan and makes corrections as necessary.

[1536] In this way, the system provides an optimized event plan based on the user's input data. Specific operational procedures and application examples can be adjusted in detail as needed to accommodate a variety of events.

[1537] The processing flow will be explained below.

[1538] Step 1:

[1539] The user inputs event information into the terminal, including the store name, event name, start date, customer demographics, budget, and staffing.

[1540] Step 2:

[1541] The terminal checks the format of the entered data and verifies that there are no data entry errors, for example, validating date formats and numeric entries.

[1542] Step 3:

[1543] The device sends the verified data to the server, structured in a basic format (e.g., JSON, XML).

[1544] Step 4:

[1545] The server receives the data sent from the device and stores it in a database in a secure manner.

[1546] Step 5:

[1547] The server preprocesses the data stored in the database, including standardizing date formats and filling in missing data.

[1548] Step 6:

[1549] The server then uses the pre-processed data to perform an analysis, comparing it with past event data and event information from other stores, evaluating metrics such as attendance, sales, and customer response.

[1550] Step 7:

[1551] The server then runs an optimization algorithm based on the analysis results, which takes into account past success stories and information from competitors to generate an effective event plan.

[1552] Step 8:

[1553] The server generates an optimized event plan, which includes specific activity types, promotion methods, decoration ideas, etc.

[1554] Step 9:

[1555] The server sends the generated optimization plan to the device, where the data is converted into a user-friendly format.

[1556] Step 10:

[1557] The device displays the optimized event plan to the user, who can review the plan and make corrections or adjustments as needed.

[1558] The above is a detailed processing flow of this system, which allows users to easily utilize effective and fresh event plans.

[1559] Example 1

[1560] 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."

[1561] Conventional event planning systems have the problem of not being able to adequately check the consistency of event information or compare it with past event data, making it difficult to plan effective events. It is also difficult to generate new ideas and effectively optimize events to prevent them from becoming stale.

[1562] 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.

[1563] In this invention, the server includes a user interface means for a user to input event information, a verification means for checking the consistency of the event information, a database means for accumulating the event information, a preprocessing means for preprocessing the event information stored in the database, an analysis means for analyzing the event information and past event information, an algorithm means for optimizing an event plan based on the results of the analysis by the analysis means, and a display means for presenting the optimized event plan to the user, thereby enabling consistent event information management, effective event plan optimization based on past data, and new idea generation.

[1564] The "user interface means" is a function that provides an interface for the user to input event information.

[1565] The "verification means" is a function that checks the consistency of the input event information and verifies whether the format is correct.

[1566] The "database means" is a function for accumulating event information and storing it in a database.

[1567] The "preprocessing means" is a function for preprocessing the saved event information, standardizing the data format, and complementing missing data.

[1568] The "analysis means" is a function for comparing and analyzing event information with past event information and evaluating its effectiveness.

[1569] The "algorithm means" is a function for optimizing an event plan based on the analysis results and generating an effective event plan.

[1570] The "display means" is a function that provides the optimized event plan to the user and displays it so that the user can check and modify it.

[1571] MODE FOR CARRYING OUT THE INVENTION

[1572] The present invention is a system that collects event information from multiple commercial facilities, analyzes and optimizes it, and provides effective event plans. Specific embodiments of this system are described below.

[1573] System configuration

[1574] This system consists of a terminal for users to input event information, a server that stores and manages the data, an algorithm that analyzes the data, and an interface that displays the optimized event plan.

[1575] User Interface Means

[1576] The user starts the system and inputs event information into the terminal through the user interface means. Specific input items include the store name, event name, start date, customer demographics, budget, and staffing.

[1577] Examples:

[1578] The user enters the following information into the terminal: "Tokyo branch, Christmas fair, starting December 1, 2023, ages 20-40, budget 1 million yen, staff 5."

[1579] Verification Method

[1580] The terminal checks the integrity of the entered data and verifies that it is in the correct format. Based on the results of the validation, it may display an error message to prompt the user to make corrections.

[1581] Examples:

[1582] The terminal may display an error message stating "Start date format is invalid."

[1583] Database Means

[1584] Once verification is complete, the device sends the event information to the server, which then stores it in a database. The database also includes information on past events, enabling comprehensive data management.

[1585] Pretreatment means

[1586] The server preprocesses the stored data, including standardizing date formats and filling in missing data. The preprocessed data is temporarily saved as a set for analysis.

[1587] Examples:

[1588] The server unifies the date format "December 1, 2023" to the standard format "YYYY-MM-DD" and fills in the missing data.

[1589] Analysis means

[1590] The server uses analytical means to compare the event information with past event information, specifically using metrics such as the number of attendees, sales, and customer reactions to compare with past data.

[1591] Examples:

[1592] The server extracts data on Christmas fairs from the past five years and calculates the average number of attendees. It also references event data from nearby stores.

[1593] Algorithmic Means

[1594] The server runs an algorithm that optimizes the event plan, taking into account past success stories and information about events at nearby stores. The algorithm generates new ideas and approaches to avoid becoming repetitive.

[1595] Display means

[1596] The server sends the optimized event plan to the terminal, which displays the optimized plan to the user, who can review the displayed plan and make corrections or adjustments as necessary.

[1597] Examples:

[1598] The server sends the generated event plan to the terminal, and the terminal provides the user with a screen showing the "Christmas Fair Plan." The user then makes a minor adjustment, such as "I want to change only the budget to 500,000 yen."

[1599] Examples of prompts for generative AI models

[1600] "Using event information from nearby commercial facilities, we would like you to suggest optimal promotional methods and decoration ideas for a Christmas fair targeting people in their 20s to 40s."

[1601] In this way, the system provides an optimized event plan based on the user's input data. Specific operational procedures and application examples can be adjusted in detail as needed to accommodate a variety of events.

[1602] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1603] System program processing steps

[1604] Step 1: Data entry

[1605] The user starts the system and enters event information into the form on the screen. Input items include the store name, event name, start date, customer demographics, budget, and staffing. The terminal receives the input data from the user and checks its consistency. Specifically, it checks whether the date format is correct, whether the budget is an integer, etc. After consistency is confirmed, the terminal sends this data to the server.

[1606] Input: Event information entered by the user (store name, event name, start date, customer demographics, budget, staffing)

[1607] Data processing: consistency check (format check, numerical check, etc.)

[1608] Output: Sends event information with integrity confirmed to the server

[1609] Specific behavior:

[1610] The user enters "Tokyo branch, Christmas fair, starting December 1, 2023, ages 20-40, budget 1 million yen, staff 5" and clicks the send button. The device may display an error message saying "The date format is invalid."

[1611] Step 2: Receiving and storing data

[1612] The server receives the event information sent from the device. The received data is stored in the database. At this time, the integrity of the data is checked again and verification is performed before storing it in the database.

[1613] Input: Event information sent from the device

[1614] Data processing: Data integrity verification, saving to database

[1615] Output: Event information stored in the database

[1616] Specific behavior:

[1617] The server saves the received event information (Tokyo branch, Christmas fair, starting December 1, 2023, ages 20-40, budget 1 million yen, staff 5) in the database and records the saving in the log.

[1618] Step 3: Preprocessing the data

[1619] The server preprocesses the data stored in the database, unifying date formats, filling in missing data, etc. The preprocessed data is temporarily saved as a dataset for analysis.

[1620] Input: Event information stored in the database

[1621] Data processing: unifying date formats, filling in missing data

[1622] Output: Preprocessed dataset for analysis

[1623] Specific behavior:

[1624] The server standardizes the date "December 1, 2023" to the standard format "YYYY-MM-DD" and completes the missing information "Budget 1 million yen."

[1625] Step 4: Data analysis

[1626] The server uses analytics to analyze the stored event information, compare past event information with current data, and evaluate the effectiveness of events based on metrics such as attendance, sales, and customer response.

[1627] Input: Preprocessed dataset for analysis

[1628] Data processing: Metric calculation (number of participants, sales, customer response, etc.), comparison with past data

[1629] Output: Analysis results

[1630] Specific behavior:

[1631] The server extracts data on Christmas fairs from the past five years, calculates the average number of attendees, median sales, and also references event data from nearby stores.

[1632] Step 5: Run the optimization algorithm

[1633] The server then runs an optimization algorithm based on the analysis results. This algorithm optimizes the event plan, taking into account past success stories and data from nearby stores. To prevent events from becoming stale, the algorithm also generates new ideas and approaches.

[1634] Input: Analysis results

[1635] Data processing: Implementing optimization algorithms and generating new ideas and approaches

[1636] Output: Optimized event plan

[1637] Specific behavior:

[1638] The server runs an AI algorithm to suggest the best date, time and promotion method.

[1639] Step 6: Generate an optimized plan

[1640] Based on the results of the optimization algorithm, the server generates a specific event plan, including the types of activities, promotion methods, and decoration ideas.

[1641] Input: Optimized event plan

[1642] Data processing: Detailed event planning (activities, promotions, decorations, etc.)

[1643] Output: A detailed event plan

[1644] Specific behavior:

[1645] The server generates plans such as "Activity: Lighting up the Christmas tree," "Promotion method: Social media advertising," and "Decoration idea: In-store illumination."

[1646] Step 7: Data Presentation

[1647] The server sends the generated optimized event plan to the terminal, which displays the plan to the user, allowing the user to review the contents and make corrections or adjustments as necessary.

[1648] Input: Detailed event plan

[1649] Data processing: Display of plan, user confirmation and modification

[1650] Output: Final approved or revised event plan

[1651] Specific behavior:

[1652] The server sends the generated plan to the terminal, and the terminal provides the user with a screen showing the "Christmas Fair Plan." The user can then make modifications, such as "changing the budget to 500,000 yen."

[1653] (Application example 1)

[1654] 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."

[1655] Event management requires managing a wide range of information and making quick decisions. Particularly when multiple events are being held simultaneously at multiple commercial facilities, it can be difficult to grasp the status of each event and participants' reactions in real time and take optimal action. It's also important to effectively utilize past event data and the status of surrounding events to formulate plans to prevent events from becoming repetitive.

[1656] 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.

[1657] In this invention, the server includes a user interface means for inputting event information for multiple commercial facilities, a database means for accumulating the event information, an analysis means for analyzing the event information stored in the database, an algorithm means for optimizing an event plan based on the results of the analysis by the analysis means, a means for real-time data input and feedback using a smartphone, smart glasses, or a head-mounted display, and a display means for providing the optimized event plan to a user, thereby utilizing the latest technology in event management to enable fast and effective planning and management.

[1658] "Multiple commercial facilities" refers to commercial facilities or stores located in multiple different locations.

[1659] "Event information" is detailed information about various events held at commercial facilities, including, for example, store names, event names, start dates, customer demographics, budgets, and staffing levels.

[1660] "User interface means" refers to an interface through which a user inputs information or receives feedback from the system, and includes devices such as smartphones, smart glasses, and head-mounted displays.

[1661] "Database means" refers to a database system for storing and managing collected event information.

[1662] "Analysis means" refers to the systems and algorithms used to analyze, compare, and evaluate the event information stored in the database.

[1663] "Algorithmic means" refers to an algorithm for generating an optimal event plan, taking into account past event data and surrounding event circumstances.

[1664] "Means for real-time data input and feedback" refers to a system that allows data input and feedback to be performed in real time during the operation of an event using a smartphone, smart glasses, or head-mounted display.

[1665] "Display" refers to the display or screen used to present the optimized event plan to the user.

[1666] A "generative AI model" refers to a model that uses artificial intelligence technology to generate new ideas and optimization plans.

[1667] A "prompt" is a series of instructions or questions that are input to a generative AI model and are used as initial input for the AI ​​to generate a response.

[1668] This invention is a system that provides effective event plans by collecting, analyzing, and optimizing event information from multiple commercial facilities. The system consists of a terminal where users can input event information, a server that stores and manages the data, an algorithm that analyzes the data, and an interface that displays the optimized event plan.

[1669] System configuration

[1670] This system consists of the following elements:

[1671] 1. Data Entry

[1672] Users input event information (e.g., store name, event name, start date, customer demographics, budget, and staffing) into the terminal, which then inputs and provides feedback in real time using a smartphone, smart glasses, or head-mounted display.

[1673] 2. Data Receipt and Storage

[1674] The server receives the data sent from the device and stores it in a database, which also includes past event information, enabling comprehensive data management.

[1675] 3. Data Preprocessing

[1676] The server preprocesses the stored data, specifically standardizing date formats and filling in missing data, and organizes the preprocessed data into sets for analysis and temporarily stores them.

[1677] 4. Data Analysis

[1678] The server uses analytical tools to compare the results with past event data and information about surrounding events to evaluate the effectiveness of the event, specifically using metrics such as the number of participants, sales, and customer reactions.

[1679] 5. Running the optimization algorithm

[1680] The server runs an algorithm that optimizes the event plan, taking into account past success stories and event information from nearby stores, and uses generative AI models and prompts to generate new ideas and approaches.

[1681] 6. Generating an optimized plan

[1682] Based on the results of the optimization algorithm, the server generates a specific event plan, including the types of activities, promotion methods, and decoration ideas.

[1683] 7. Data Presentation

[1684] The server sends the optimized event plan to the device, which displays it to the user, who can review the plan and make corrections or adjustments as necessary.

[1685] Hardware and software used

[1686] Hardware: Smartphone (iOS / Android), smart glasses, head-mounted display (e.g. Meta Quest 2)

[1687] software:

[1688] Data entry: Provide a user interface using Swift / Kotlin.

[1689] Data analysis: Data processing and calculations are performed using Python (pandas, scikit-learn).

[1690] Visual feedback: Provide real-time visual feedback using Unity(C).

[1691] Specific examples of program processing

[1692] For example, consider a scenario in which a Christmas fair is held at the Tokyo branch.

[1693] The user uses a smartphone to enter information such as "Tokyo branch, Christmas fair, starting December 1, 2023, ages 20-40, budget 1 million yen, 5 staff." The device then sends this data to the server, which compares it with data from past Christmas fairs and generates a new event plan.

[1694] Example prompts for generative AI models

[1695] "We're holding a Christmas fair at our Tokyo branch. Please tell us the best event plan based on past event data. The data is as follows: Store name: Tokyo branch, Event name: Christmas fair, Start date: December 1, 2023, Customer demographic: 20-40s, Budget: 1 million yen, Staff: 5 people."

[1696] In this way, the system provides an optimized event plan based on the user's input data. Specific operational procedures and application examples can be adjusted as needed to accommodate a variety of events.

[1697] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1698] Step 1:

[1699] The user enters the event information.

[1700] For example, the information to be entered might be "Tokyo branch, Christmas fair, starting December 1, 2023, ages 20-40, budget 1 million yen, staff 5."

[1701] This is done in real time using a smartphone, smart glasses, or a head-mounted display.

[1702] The terminal verifies this information to ensure that it is error-free.

[1703] Step 2:

[1704] The terminal transmits the verified event information to the server.

[1705] The data sent includes detailed event information (store name, event name, start date, customer demographics, budget, and staffing).

[1706] The server receives the data and stores it in a database, which also stores past event data, enabling comprehensive data management.

[1707] Step 3:

[1708] The server preprocesses the stored data.

[1709] Specifically, the system will standardize date formats and complement missing data. For example, data with different formats for December 1, 2023 will be standardized and incomplete customer demographic data will be complemented.

[1710] The preprocessed data is organized into analytical sets and temporarily stored.

[1711] Step 4:

[1712] The server analyzes the stored event data using an analysis means.

[1713] Metrics such as number of participants, sales, and customer response are used for analysis.

[1714] For example, compare sales data from past Christmas fairs with information about the current Christmas fair.

[1715] The server evaluates the effectiveness of the current event based on the analysis results.

[1716] Step 5:

[1717] The server runs an optimization algorithm using the generative AI model.

[1718] For example, by inputting prompt statements that take into account past success stories and surrounding event information into the AI ​​model, the optimal event plan can be generated.

[1719] Example prompt: "We are holding a Christmas fair at our Tokyo branch. Please tell us the best event plan based on past event data. The data is as follows: store name: Tokyo branch, event name: Christmas fair, start date: December 1, 2023, customer demographic: 20-40s, budget: 1 million yen, number of staff: 5 people."

[1720] Step 6:

[1721] The server creates a specific event plan based on the generated optimized event plan.

[1722] The plan includes, for example, types of activities, promotional methods, decoration ideas, etc.

[1723] This will allow the overall structure and management policy of the event to be concretely defined.

[1724] Step 7:

[1725] The server transmits the generated event plan to the terminal.

[1726] The terminal displays this plan to the user, who can review the plan and make any necessary modifications.

[1727] For example, feedback such as "Additional staff needed in Area A" can be received through a head-mounted display.

[1728] These steps enable the system to collect, analyze, optimize, and provide feedback in real time to ensure effective event management.

[1729] 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.

[1730] The present invention is a system that collects event information from multiple commercial facilities, analyzes it, and optimizes it to provide effective event plans. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, it is possible to propose event plans based on the user's emotions. A specific embodiment of this system is described below.

[1731] System configuration

[1732] This system consists of a terminal where users can input event information, a server that stores and manages the data, an algorithm that analyzes the data, an interface that displays an optimized event plan, and an emotion engine that recognizes the user's emotions.

[1733] 1. Data Entry

[1734] The user inputs event information (e.g., store name, event name, start date, customer demographics, budget, and staffing) into the terminal.

[1735] The terminal checks the integrity of the information entered and verifies that there are no errors.

[1736] After verification, the terminal transmits the data to the server.

[1737] 2. Data Receipt and Storage

[1738] The server receives the data sent from the terminal and stores it in a database.

[1739] The database also includes information on past events, allowing for comprehensive data management.

[1740] 3. Data Preprocessing

[1741] The server preprocesses the stored data, specifically standardizing date formats and filling in missing data.

[1742] The preprocessed data is organized into analytical sets and temporarily stored.

[1743] 4. Data Analysis

[1744] The server uses analytical means to compare the event with past event data and event information from other stores to evaluate its effectiveness.

[1745] Specifically, metrics such as the number of participants, sales, and customer response will be evaluated.

[1746] 5. Running the optimization algorithm

[1747] The server then runs an optimization algorithm based on the analysis results, which takes into account past success stories and information from competitors to generate an effective event plan.

[1748] Generate new ideas and approaches to avoid getting stuck in a rut.

[1749] 6. Operation of the Emotion Engine

[1750] The emotion engine installed in the device acquires the user's voice data and facial expression data, analyzes this data, and recognizes the user's emotional state.

[1751] The recognized emotions are sent to the server in real time.

[1752] 7. Generating an optimized plan

[1753] The server adjusts the content of the event plan suggestions based on the user's emotional data received from the emotion engine. For example, if the user is excited, it suggests adding an activity, and if the user is stressed, it emphasizes relaxation elements.

[1754] 8. Data Presentation

[1755] The server transmits the generated optimized event plan to the terminal.

[1756] The device displays the optimization plan to the user, who can review it and make corrections or adjustments as needed.

[1757] Specific examples

[1758] Data Entry

[1759] As an example, consider the data for the "Christmas fair held at the Tokyo branch."

[1760] The user enters the following information into the terminal: "Tokyo branch, Christmas fair, starting December 1, 2023, ages 20-40, budget 1 million yen, staff 5."

[1761] The terminal transmits the data to the server.

[1762] Data reception and storage

[1763] The server receives this data and stores it in a database.

[1764] Data Preprocessing

[1765] The server will unify the date format and fill in any missing data.

[1766] Data analysis

[1767] The server compares the current input data with past "Christmas Fair" data, and also references data from nearby branches in Yokohama and Osaka.

[1768] Running the optimization algorithm

[1769] The server takes into consideration past success stories and popular events at nearby stores to generate the optimal event plan.

[1770] Emotion Engine Operation

[1771] The emotion engine in the device analyzes the user's facial expression data and determines whether the user is satisfied.

[1772] The analysis results are sent to a server and used to adjust the event plan.

[1773] Data presentation

[1774] The server sends the generated plan to the terminal, which displays it to the user.

[1775] The user checks the displayed plan and makes corrections as necessary.

[1776] In this way, the system can provide more effective and personalized event plans based on the user's input data and emotional data. Specific operation procedures and application examples can be adjusted in detail as needed to accommodate a variety of events.

[1777] The processing flow will be explained below.

[1778] Step 1:

[1779] The user inputs event information (e.g., store name, event name, start date, customer demographics, budget, and staffing) into the terminal. By inputting the event information accurately, the system can perform an appropriate analysis.

[1780] Step 2:

[1781] The terminal performs formal checks on the information entered to ensure there are no data entry errors, such as checking date formats and numbers.

[1782] Step 3:

[1783] The terminal sends the verified data to the server, adding a necessary margin to the data to prevent errors.

[1784] Step 4:

[1785] The server receives the data sent from the device and immediately stores it in a database.

[1786] Step 5:

[1787] The server preprocesses the data stored in the database, including standardizing the date format and filling in missing data, for example, standardizing it to the "YYYY-MM-DD" format.

[1788] Step 6:

[1789] The server uses the pre-processed data to perform analysis. During the analysis, it compares past event data and event information from other stores to evaluate the effectiveness of the event. Specifically, it takes into account factors such as the number of participants, sales, and customer reactions.

[1790] Step 7:

[1791] The server then runs an optimization algorithm based on the analysis results, which takes into account past success stories and information from competitors to generate an effective event plan.

[1792] Step 8:

[1793] The device captures the user's face with a camera and sends the image to the emotion engine, which analyzes it and recognizes the user's emotional state.

[1794] Step 9:

[1795] The emotion engine analyzes the user's voice and facial expression data in real time to recognize emotions (e.g., joy, sadness, excitement, stress), allowing it to provide more personalized plans.

[1796] Step 10:

[1797] The server adjusts the content of the event plan suggestions based on the user's emotional data received from the emotion engine. For example, if the user is excited, it suggests adding activities, and if the user is stressed, it emphasizes relaxation elements.

[1798] Step 11:

[1799] The server generates an optimized event plan, which includes specific activity types, promotion methods, decoration ideas, etc.

[1800] Step 12:

[1801] The server transmits the generated optimization plan to the terminal, and the transmitted data is converted into a format that is easy for the user to understand.

[1802] Step 13:

[1803] The device displays the optimized event plan to the user, who can review the plan and make corrections and adjustments as needed, including emotional changes.

[1804] The above is the specific processing flow of this system, which allows the user to obtain an optimized event plan that reflects their own emotional state.

[1805] Example 2

[1806] 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."

[1807] Providing effective event plans for multiple commercial facilities requires the aggregation, analysis, and optimization of large amounts of event information. However, current systems do not adequately verify the consistency of input data or provide personalized optimization plans that include emotion recognition. Another issue is the difficulty of generating effective plans that take into account past event data and user emotion data.

[1808] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1809] In this invention, the server includes interface means for a user to input event information, means for checking the consistency of the event information and verifying errors, means for transmitting the data to the server after verifying that there are no errors, server and database means for receiving and storing the data transmitted from the terminal, means for preprocessing the stored data, analysis means for analyzing the data based on the preprocessed data and evaluating the effectiveness, means for executing an optimization algorithm based on the analysis results to generate an effective event plan, emotion recognition means for acquiring and analyzing user emotion data, means for adjusting the event plan based on the acquired emotion data, and display means for providing the optimized event plan to the user. This makes it possible to provide a more highly personalized optimization plan through input data consistency checking and emotion recognition.

[1810] "User" means a person or organization that utilizes the system to input event information and review optimized event plans.

[1811] "Interface means" refers to a means by which a user inputs event information, and includes, for example, a web form or an application interface.

[1812] The "integrity checking means" is a means for checking the integrity of input event information and verifying errors.

[1813] A "server" is a computer system that receives, stores, and processes data sent from a terminal.

[1814] The "database means" is a storage system for storing received event information.

[1815] "Preprocessing means" refers to means for standardizing the date format of stored data and supplementing missing data.

[1816] The "analysis means" is a means for comparing the pre-processed data with past event data and event information from other stores to evaluate the effectiveness.

[1817] The "optimization algorithm means" is a means for executing an optimization algorithm based on the analysis results and generating an effective event plan.

[1818] The "emotion recognition means" is a means for acquiring and analyzing the user's voice data and facial expression data to recognize the user's emotional state.

[1819] The "emotion data adjustment means" is a means for adjusting the content of the proposed event plan based on the acquired emotion data.

[1820] "Display means" refers to means for providing the optimized event plan to the user, and includes, for example, a display and a web interface.

[1821] The present invention is a system that collects event information from multiple commercial facilities, analyzes it, and optimizes it to provide effective event plans. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, it is possible to propose event plans based on the user's emotions. Specific embodiments for implementing this system are described below.

[1822] System configuration

[1823] The system consists of the following main components:

[1824] 1. Interface means: A means by which a user inputs event information. Examples include web-based forms and smartphone applications.

[1825] 2. Consistency checking means: A means for checking the consistency of the input event information and verifying errors.

[1826] 3. Server: A computer system that receives, stores, and processes data sent from the terminal.

[1827] 4. Database means: A storage system for storing received event information. Specifically, an SQL database (e.g., MySQL, PostgreSQL) is used.

[1828] 5. Preprocessing methods: Methods for standardizing the date format of stored data and filling in missing data. Python's Pandas library is frequently used.

[1829] 6. Analysis method: A method for evaluating the effectiveness of pre-processed data by comparing it with past event data and event information from other stores. The Scikit-learn library is mainly used.

[1830] 7. Optimization algorithm means: A means for executing an optimization algorithm based on the analysis results to generate an effective event plan. Genetic algorithms and linear programming are applied.

[1831] 8. Emotion recognition means: A means of acquiring and analyzing the user's voice data and facial expression data to recognize the user's emotional state. As a specific example, Microsoft Azure's emotion recognition API is used.

[1832] 9. Emotional data adjustment means: A means for adjusting the event plan based on the acquired emotional data.

[1833] 10. Display means: A means for providing the optimized event plan to the user, such as a web page or a mobile application interface.

[1834] Example

[1835] Example 1: Christmas Fair Data Entry

[1836] The user enters event information (e.g., "Tokyo branch, Christmas fair, starting December 1, 2023, ages 20-40, budget 1 million yen, staff 5") into an input form on the terminal.

[1837] The device checks the integrity of the information, verifies that there are no errors in date formats or numeric fields, and then sends the data to the server.

[1838] The server receives the data sent from the device and stores it in a database. It unifies the date format of the stored data and fills in any missing data.

[1839] Example 2: Data analysis and plan optimization

[1840] The server uses Scikit-learn to analyze data from past Christmas fairs and current input data, and evaluates the effectiveness of the fairs in terms of number of participants, sales, and customer reactions.

[1841] An effective event plan is generated using a genetic algorithm based on the analysis results obtained.

[1842] Example 3: Adjustment by Emotion Engine

[1843] The device's emotion engine acquires the user's facial expression and voice data and analyzes it using Microsoft Azure's emotion recognition API.

[1844] The server adjusts the event plan based on the acquired user emotional data. For example, if the user is feeling stressed, it will emphasize relaxation elements.

[1845] Examples of prompt statements

[1846] "Generate an effective event plan based on the event information and emotional data entered by the user. The user's input information is as follows: Store name: Tokyo branch, Event name: Christmas fair, Start date: December 1, 2023, Customer demographic: 20-40s, Budget: 1 million yen, Number of participants: 5. The user seems excited at the moment."

[1847] As described above, this system can provide more effective and personalized event plans based on the user's input data and emotional data.

[1848] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1849] Step 1:

[1850] The user enters event information into the device. Specifically, they enter data such as the event name, start date, store name, customer demographics, budget, and staffing into a web form or app. The device then checks the integrity of the entered data, verifying that the date format is correct, that numbers are appropriate, and confirming that there are no errors. If the entered data is valid, the device sends it to the server.

[1851] Input: Event information (e.g., "Tokyo branch, Christmas fair, starting December 1, 2023, ages 20-40, budget 1 million yen, staff 5")

[1852] Output: Event data that has been verified for integrity and sent to the server

[1853] Step 2:

[1854] The server receives the event data sent from the device and stores it in a database. The database also stores past event data, and the accumulated information is placed under comprehensive management. When saving, the server checks that the data is formatted correctly and reformats it if necessary.

[1855] Input: Event data sent from the device

[1856] Output: Event data stored in a database

[1857] Step 3:

[1858] The server preprocesses the stored data, which includes standardizing date formats, imputing missing data, cleaning text data, etc. For example, it uses the Python Pandas library to convert all dates to "YYYY-MM-DD" format and impute missing data with appropriate defaults or averages.

[1859] Input: Event data stored in the database

[1860] Output: A clean, pre-processed dataset

[1861] Step 4:

[1862] The server analyzes the preprocessed data. Specifically, it compares it with past event data and event information from other stores to evaluate metrics such as the number of participants, sales, and customer reactions. It then uses the Scikit-learn library to perform regression analysis and clustering to quantify the effectiveness of the event.

[1863] Input: A clean, pre-processed dataset

[1864] Output: Analysis results to evaluate the effectiveness

[1865] Step 5:

[1866] The server runs optimization algorithms based on the analysis results, using genetic algorithms and linear programming to generate effective event plans. For example, it incorporates elements of successful events to propose new approaches. It also takes into account data from competitors.

[1867] Input: Analysis results

[1868] Output: Optimized event plan

[1869] Step 6:

[1870] The emotion engine in the device acquires and analyzes the user's emotional data. It uses the device's camera and microphone to capture the user's facial expressions and voice, and analyzes them using Microsoft Azure's emotion recognition API. The acquired emotional data is sent to the server.

[1871] Input: User's facial expression data, voice data

[1872] Output: Analyzed user emotion data

[1873] Step 7:

[1874] The server adjusts the content of the optimized event plan based on the emotion data received from the emotion engine, for example, emphasizing relaxation elements if the user is stressed, or adding activities if the user is excited.

[1875] Input: Sentiment data from the emotion engine, optimized event plan

[1876] Output: An event plan adjusted to reflect the sentiment data.

[1877] Step 8:

[1878] The server sends the adjusted optimization event plan to the terminal, which then displays the received plan to the user. For example, the plan schedule and details of each element can be visually confirmed on a web interface. The user can review the plan and provide corrections or feedback as necessary.

[1879] Input: Event plan adjusted to reflect sentiment data

[1880] Output: The optimization event plan displayed to the user

[1881] This is the specific flow of the system's program processing. At each step, appropriate data processing and calculations are performed based on the input data, and ultimately an optimized event plan is provided to the user.

[1882] (Application example 2)

[1883] 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."

[1884] Conventional event planning systems have limitations in optimizing based on past event data, making it difficult to flexibly plan events based on individual user emotions and real-time feedback. Furthermore, they are unable to fully incorporate elements to prevent events from becoming stale, making it difficult to maximize the user experience. The objective of this invention is to solve these problems and provide a system that provides users with more effective and personalized event plans.

[1885] 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.

[1886] In this invention, the server includes a user interface means for inputting event information, a database means for accumulating event information, an analysis means for analyzing the event information stored in the database, an emotion recognition engine means for recognizing and analyzing user emotion data, an algorithm means for optimizing the event plan based on the results of the analysis by the analysis means and the emotion recognition engine means, and a display means for providing the optimized event plan to the user, thereby making it possible to provide a flexible event plan based on the user's emotions.

[1887] The "user interface means" is an interface for a user to input event information, and is a device or software that enables the exchange of information between the user and the system.

[1888] The "database means" is a system for collecting, storing, and managing various data including event information.

[1889] "Analysis means" refers to algorithms or programs that use event information stored in the database to analyze the effects and trends of events.

[1890] The "emotion recognition engine means" is a technology for recognizing emotions from the user's voice data and facial expression data, analyzing them, and reflecting them in the event plan.

[1891] "Algorithm Means" refers to the computational procedures or processes for generating an optimal event plan based on the Analysis Means and the Emotion Recognition Engine Means.

[1892] "Display means" refers to a device or interface for visually presenting the optimized event plan to the user.

[1893] The system of the present invention collects, analyzes, and optimizes event information to provide an effective event plan. This system aggregates and analyzes event information from multiple commercial facilities to generate an optimal event plan. It also has the ability to recognize user emotions and adjust the event plan based on the results.

[1894] System configuration

[1895] This system consists of the following main means:

[1896] 1. User Interface Methods

[1897] The user interface means is an interface for users to input event information, and is designed to allow information to be input via a terminal such as a smartphone, PC, or tablet.

[1898] 2. Database Means

[1899] The database means is a system for collecting, storing, and managing event information and related data, including past event data and data collected from other commercial facilities.

[1900] 3. Analysis method

[1901] The analysis means uses the event information stored in the database to analyze the effects and trends of the event, and also compares it with other similar events, providing a basis for generating optimal plans.

[1902] 4. Emotion Recognition Engine Means

[1903] The emotion recognition engine has the function of recognizing and analyzing emotions from the user's voice data and facial expression data. This engine collects emotion data in real time and transmits the analysis results to the server.

[1904] 5. Algorithmic Means

[1905] The algorithm means is a computational procedure or process used to optimize the event plan based on the results of the analysis means and the emotion recognition engine means, thereby optimizing the plan according to the user's emotional state.

[1906] 6. Display means

[1907] The display means is a device or interface for providing the optimized event plan to the user, and works in conjunction with the user interface means to visually display the plan.

[1908] Hardware and software used

[1909] 1. Hardware

[1910] Smartphone

[1911] Head-mounted display (HMD)

[1912] server

[1913] 2. Software

[1914] EmotionRecognitionEngine (emotion recognition software)

[1915] TextBlob (a library for natural language processing)

[1916] Data processing and calculation

[1917] The server first stores the event information entered through the user interface means in a database. The analysis means then uses this data to perform analysis to evaluate metrics such as the number of participants, sales, and customer reactions. The emotion recognition engine means then collects real-time emotion data from users and transmits the analysis results to the server. The algorithm means then integrates these analysis results to generate an optimal event plan. The optimized plan is then presented to the user through the display means.

[1918] Specific examples

[1919] Consider the data for a "Virtual Christmas Fair" as an example. A user uses a smartphone to input information such as "Virtual Christmas Fair, starting December 1, 2023, ages 20-40, budget 1 million yen, 5 staff, excited." In addition to this data, the system references past success stories and information on nearby events, and generates an optimal plan based on the user's emotional state.

[1920] Prompt Sentence Examples

[1921] "A user has entered plans for a virtual event. The event name is 'Virtual Christmas Fair' and the start date is December 1, 2023. The target demographic is people in their 20s-40s, the budget is 1 million yen, and the staffing is 5 people. The user's feedback included 'I'm excited.' Please optimize this virtual event based on sentiment data and past success stories."

[1922] Based on this example, the system can provide the user with an optimal event plan.

[1923] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1924] Step 1:

[1925] The user enters event information using a smartphone or computer, such as the event name, start date, target user demographic, budget, staffing, and feedback (e.g., "I'm excited").

[1926] Input: Event name, start date, target audience, budget, staffing, user feedback

[1927] Output: Formatted event information

[1928] Step 2:

[1929] The terminal checks the format of the entered information and verifies its integrity, for example checking that the date format is correct and that all required fields have been filled in.

[1930] Input: Event information entered by the user

[1931] Output: Event information with integrity confirmed

[1932] Step 3:

[1933] The terminal sends the verified event information to the server.

[1934] Input: Event information whose integrity has been verified

[1935] Output: Event information sent to the server

[1936] Step 4:

[1937] The server stores the received event information in a database.

[1938] Input: Event information sent to the server

[1939] Output: Event information stored in the database

[1940] Step 5:

[1941] The server preprocesses the stored data, specifically standardizing date formats and filling in missing data.

[1942] Input: Event information stored in the database

[1943] Output: Preprocessed event data

[1944] Step 6:

[1945] The server then analyzes the pre-processed data using analytical tools, comparing it with past event data from other commercial facilities and evaluating metrics such as the number of event attendees, sales, and customer reactions.

[1946] Input: Preprocessed event data

[1947] Output: Analysis results

[1948] Step 7:

[1949] The emotion recognition engine acquires and analyzes the user's voice data and facial expression data in real time to recognize the user's emotional state, and transmits the emotion data to the server.

[1950] Input: User's voice data, facial expression data

[1951] Output: User emotion data

[1952] Step 8:

[1953] The server integrates the emotional data with the analysis results and optimizes the event plan using algorithmic means: if the user gives feedback that they are "excited," additional activities will be considered; conversely, if the user gives feedback that they are "stressed," relaxation elements will be emphasized.

[1954] Input: Analysis results, user emotion data

[1955] Output: Optimized event plan

[1956] Step 9:

[1957] The server transmits the generated optimal event plan to the terminal.

[1958] Input: Optimized event plan

[1959] Output: Optimization event plan sent to the terminal

[1960] Step 10:

[1961] The device visually displays an optimized event plan to the user, including unique activities and new elements, and the user can review the plan and make any necessary adjustments.

[1962] Input: Optimization event plan sent to the terminal

[1963] Output: The optimization event plan displayed to the user

[1964] 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.

[1965] 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.

[1966] 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.

[1967] 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.

[1968] 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.

[1969] 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.

[1970] 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).

[1971] 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.

[1972] 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."

[1973] 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.

[1974] 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).

[1975] 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.

[1976] 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.

[1977] 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.

[1978] 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.

[1979] 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.

[1980] 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.

[1981] 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.

[1982] 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.

[1983] 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.

[1984] 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.

[1985] The following is further disclosed regarding the above embodiment.

[1986] (Claim 1)

[1987] a user interface means for inputting event information for a plurality of commercial facilities;

[1988] a database means for accumulating the event information;

[1989] analysis means for analyzing the event information stored in the database;

[1990] an algorithm means for optimizing an event plan based on the results of the analysis by the analysis means;

[1991] The system includes a display means for presenting the optimized event plan to a user.

[1992] (Claim 2)

[1993] 2. The system according to claim 1, wherein the analyzing means further comprises means for comparing past event data of a plurality of commercial facilities.

[1994] (Claim 3)

[1995] 2. The system according to claim 1, wherein the optimized event plan takes into consideration the circumstances of surrounding events to prevent the event from becoming monotonous.

[1996] "Example 1"

[1997] (Claim 1)

[1998] a user interface means for a user to input event information;

[1999] verification means for verifying the consistency of the event information;

[2000] a database means for accumulating the event information;

[2001] a preprocessing means for preprocessing the event information stored in the database;

[2002] an analysis means for analyzing the event information and past event information;

[2003] an algorithm means for optimizing an event plan based on the results of the analysis by the analysis means;

[2004] The system includes a display means for presenting the optimized event plan to a user.

[2005] (Claim 2)

[2006] 2. The system according to claim 1, wherein the analyzing means further comprises means for comparing past event data of a plurality of commercial facilities.

[2007] (Claim 3)

[2008] 2. The system according to claim 1, wherein the optimized event plan takes into consideration the circumstances of surrounding events to prevent the event from becoming monotonous.

[2009] "Application Example 1"

[2010] (Claim 1)

[2011] a user interface means for inputting event information for a plurality of commercial facilities;

[2012] a database means for accumulating the event information;

[2013] analysis means for analyzing the event information stored in the database;

[2014] an algorithm means for optimizing an event plan based on the results of the analysis by the analysis means;

[2015] a means for real-time data input and feedback using a smartphone, smart glasses, or head-mounted display;

[2016] The system includes a display means for presenting the optimized event plan to a user.

[2017] (Claim 2)

[2018] 2. The system according to claim 1, wherein the analyzing means further comprises means for comparing past event data of a plurality of commercial facilities.

[2019] (Claim 3)

[2020] The system described in claim 1, characterized in that the optimized event plan takes into account the surrounding event circumstances to prevent the event from becoming monotonous, and is optimized using a generative AI model and prompt sentences.

[2021] "Example 2: Combining Emotion Engines"

[2022] (Claim 1)

[2023] an interface means for a user to input event information;

[2024] means for verifying the integrity of the event information and validating errors;

[2025] means for transmitting the data to a server after verifying that there are no errors;

[2026] a server and database means for receiving and storing data transmitted from the terminal;

[2027] means for pre-processing the stored data;

[2028] an analytical means for analyzing the data based on the preprocessed data and evaluating the effect;

[2029] means for executing an optimization algorithm based on the analysis results to generate an effective event plan;

[2030] emotion recognition means for acquiring and analyzing emotion data of a user;

[2031] A means for adjusting the event plan based on the acquired emotional data;

[2032] A system including a display means for providing an optimized event plan to a user.

[2033] (Claim 2)

[2034] 2. The system according to claim 1, wherein the analyzing means further comprises means for comparing past event data of a plurality of commercial facilities.

[2035] (Claim 3)

[2036] 2. The system according to claim 1, wherein the optimized event plan takes into consideration the circumstances of surrounding events to prevent the event from becoming monotonous.

[2037] "Application example 2 when combining emotion engines"

[2038] (Claim 1)

[2039] a user interface means for inputting event information;

[2040] a database means for accumulating the event information;

[2041] analysis means for analyzing the event information stored in the database;

[2042] an emotion recognition engine means for recognizing and analyzing emotion data of a user;

[2043] an algorithm means for optimizing an event plan based on the results of the analysis by the analysis means and the emotion recognition engine means;

[2044] The system includes a display means for presenting the optimized event plan to a user.

[2045] (Claim 2)

[2046] 2. The system according to claim 1, wherein the analyzing means further comprises means for comparing past event data of a plurality of commercial facilities.

[2047] (Claim 3)

[2048] 2. The system according to claim 1, wherein the optimized event plan takes into consideration the circumstances of surrounding events to prevent the event from becoming monotonous. [Explanation of symbols]

[2049] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. a user interface means for inputting event information for a plurality of commercial facilities; a database means for accumulating the event information; analysis means for analyzing the event information stored in the database; an algorithm means for optimizing an event plan based on the results of the analysis by the analysis means; The system includes a display means for presenting the optimized event plan to a user.

2. 2. The system of claim 1, wherein the analyzing means further comprises means for comparing past event data for a plurality of commercial establishments.

3. 2. The system according to claim 1, wherein the optimized event plan takes into consideration the circumstances of surrounding events to prevent the event from becoming monotonous.

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