Restaurant ai optimization plug-in

Abstract

To satisfy the needs for a service in a restaurant industry that provides meal experiences suitable for customers and their needs, and personalized in consideration of security or leakage of personal information, and solve the problems, such as a trouble to select a restaurant or menu, and insufficient information.SOLUTION: A proposed business model copes with problems in a restaurant industry. A plug-in utilizing a generative AI is introduced. A customer registers preferences or allergy information related to food and drink, and past visit histories, to be accumulated. Three pieces of data being data about attributes, experiences, and device acquisition are provided to the generative AI to provide optimal meal advice to a user. QR code menus are utilized and special discount information is provided. After the visit to a restaurant, the generative AI creates an album with explanatory notes based on photographs, and provides a function to share the album on a SNS. The concern about leakage of personal information is resolved and meal experiences of users can be improved.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] This business model is relevant in the following technology sectors: 1. Natural Language Processing (NLP) Technology: Leveraging generative AI, natural language processing technology is used to generate optimal text answers to food and beverage related questions.

[0002] 2. Data Management System Technology: A data management system is implemented to collect, store, and manage customer attribute data, experience data, and device acquisition data.

[0003] 3. Customer Profiling Technology: This technology involves collecting information about customer preferences, allergy information, dietary restrictions, and past experiences to create customer profiles.

[0004] 4. Restaurant reservation system technology: Technology is built in to obtain real-time data through API integration with restaurant reservation systems and provide it to the generation AI.

[0005] 5. Metaverse and AR Technology: This includes technology that leverages the metaverse and augmented reality technology to provide customers with a unique virtual dining experience.

[0006] 6. Privacy Protection Technology: This includes technical measures related to ensuring the anonymity of personal information and protecting security and privacy.

[0007] 7. Social Media Integration Technology: Social media integration technology is used to support posting and sharing of information on social media.

[0008] These are the key technology areas related to this business model, which combine to deliver a personalized dining experience. [Background technology]

[0009] The following technology areas are involved behind the business model: 1. Automatic data collection technologies: This includes technologies for automatically collecting customer attribute data, experience data, and device acquisition data and storing them in a database.

[0010] 2. Natural Language Processing (NLP) Technology: NLP technology is used to enable generative AI to generate appropriate text responses to food and beverage-related questions and requests.

[0011] 3. Data analysis technology: This technology involves analyzing data such as customer preferences, allergy information, and dietary history to create individual profiles.

[0012] 4. Metaverse and AR Technology: Metaverse and AR technology are being used to provide virtual F&B outlets and virtual concierges to customers.

[0013] 5. Privacy Protection Technology: This includes technology to ensure anonymity to protect customer privacy and technology to ensure data security.

[0014] 6. Social Media Integration Technology: Social media integration technology is used to allow customers to post on social media and share their reviews and ratings on social media.

[0015] 7. Image Recognition Technology: Image recognition technology is used to recognise QR code menus and food images and extract information.

[0016] 8. Location-based technology: This involves technology that uses a user's current location information to provide information about nearby restaurants and special offers. These technology fields are contributing to the realization of our business model. Summary of the Invention

[0017] The present invention provides an innovative business model for the food and beverage industry, which includes, among other things, the following technical elements: 1. Utilization of Generative AI: This invention introduces a system with Generative AI (Generative Artificial Intelligence) at its core. Generative AI uses natural language processing technology to generate appropriate text responses to questions and requests submitted by customers.

[0018] 2. Data Management System: The present invention includes a data management system for collecting, organizing, storing, and managing customer data related to dining and beverages. This data includes attribute data (e.g., dietary preferences, allergy information), experience data (information about previous store visits), and device-acquired data (e.g., location information, camera information).

[0019] 3. Integration with reservation systems: The present invention has a mechanism to link with restaurant reservation systems and POS systems to obtain real-time data, making it possible to provide customers with the latest information.

[0020] 4. Metaverse and AR Technology: This invention combines the metaverse and augmented reality (AR) technology to provide customers with a virtual restaurant and avatar concierge, allowing them to interact with restaurants in a virtual space and enjoy a holistic experience.

[0021] 5. Privacy Protection: The present invention implements a method to ensure the privacy and security of customer information, with an emphasis on anonymity.

[0022] 6. Social Media Integration: Social media integration technology is utilized to help customers post on social media, share information and rate on social media.

[0023] In summary, this invention provides an innovative business model that enables improved customer experience and personalized service in the F&B industry. The combination of generative AI and data management systems enables F&B experiences that meet the customer's wants and needs, bringing new value to the F&B industry. [Problem to be solved by the invention]

[0024] The main problem that this invention aims to solve is to address the following problems in the traditional food and beverage industry: 1. Lack of personalized service: In the traditional F&B industry, there are limited effective ways to accommodate customers' individual tastes and requests, and only general menus are provided. Therefore, if a customer has special requests or restrictions, there may not be enough options, which may result in lower customer satisfaction.

[0025] 2. Efficient management and utilization of data: Collecting, organizing, storing and utilizing customer data in the F&B industry has traditionally been a manual and inefficient process, limiting the ability to provide individual customer profiling and data-driven services.

[0026] 3. Privacy and security concerns: Personal information handling and data security have become increasingly important in the F&B industry, and traditional methods have not been sufficient to protect customer information. Customers have concerns about privacy infringement and security risks.

[0027] 4. Lack of digitalization and customer engagement: The F&B industry was slow to adopt digitalization, resulting in a lack of digital contact points and engagement with customers. This limited the provision of information to customers and the ability to communicate with them.

[0028] This invention provides an effective means to solve the above problems and provide customers with a more personalized dining experience. A data-driven approach using generative AI provides an accurate understanding of customer preferences and requests, enhancing customer profiling.

[0029] We will also focus on protecting privacy and data security to safely manage customer information, and utilize digital technology to strengthen customer engagement and explore new service possibilities in the food and beverage industry. [Means for solving the problem]

[0030] The present invention provides the following means to solve the above problems: 1. Data Collection and Profiling: The present invention automatically collects and effectively manages customer attribute data (e.g., dietary preferences, allergy information, dietary restrictions), experience data (past store visit information), and device acquisition data (e.g., location information, camera information), thereby creating individual customer profiles and accurately identifying customer preferences and tastes.

[0031] 2. Question answering by generative AI: In this invention, generative AI (generative artificial intelligence) is used to generate appropriate text responses to customer questions and requests. Generative AI analyzes customer attribute data, experience data, and device-acquired data to make optimal suggestions. For example, it will suggest appropriate dishes to customers who need to avoid certain ingredients.

[0032] 3. Data Security and Privacy Protection: The present invention focuses specifically on the security and privacy protection of customer information. Personal information is anonymized and stored in a secure data storage system. It also complies with regulations and policies regarding data handling, minimizing data leakage and security risks.

[0033] 4. Utilizing digital technology: The present invention actively utilizes digital technology to increase digital contact points with customers. Customers can easily receive information through smart devices and customize their dining experience. QR code menus and AR technology are utilized to improve the customer experience in restaurants.

[0034] 5. Utilization of Metaverse and AR Technology: The present invention utilizes the Metaverse and AR technology to provide a virtual restaurant and avatar concierge, allowing customers to interact with restaurants in a virtual space and enjoy a real dining experience.

[0035] By combining these measures, the present invention provides an innovative way to solve challenges in the F&B industry and provide customers with a personalized dining experience. Effect of the Invention

[0036] The main advantages achieved by this invention are as follows: 1. Personalized dining experience: This invention combines generative AI and a data management system to provide a dining experience that matches the individual tastes and requests of customers. Generative AI analyzes customer attribute data, suggests the best dishes and restaurants, and customizes the dining experience, allowing customers to enjoy a more satisfying dining experience.

[0037] 2. Data-driven service provision: The present invention provides a data management system that can collect and effectively manage large amounts of customer data, allowing the F&B industry to adopt a data-driven approach to provide optimal service to customers, including highly customized customer profiling and question responses.

[0038] 3. Utilizing digital technology: The present invention utilizes digital technology to enhance information provision and communication via smart devices. By using QR code menus and AR technology, customers can easily access information and improve their dining experience.

[0039] 4. New experiences with metaverse and AR technology: This invention utilizes metaverse and AR technology to provide virtual restaurants and avatar concierges, allowing customers to enjoy dining experiences in a virtual space beyond the constraints of reality, adding a new entertainment element.

[0040] 5. Privacy and security: The present invention emphasizes privacy protection and data security of personal information, and ensures the safe handling of customer information, so that customers can use the service with peace of mind.

[0041] 6. Increased Customer Engagement: The invention increases digital touchpoints with customers, improving customer engagement. Social media integration and notification request features encourage customer interaction and information sharing.

[0042] In summary, this invention provides an innovative service delivery model for the F&B industry, which has many benefits, including improved customer satisfaction, the introduction of new entertainment elements, data-driven optimization, etc. It builds deeper relationships between customers and restaurants, and provides new value to the entire F&B industry. [Brief description of the drawings]

[0043] [Figure 1] AI Food & Beverage Optimization Plug-in Flowchart Diagram DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0044] The embodiment of the present invention is based on the following steps and components:

[0045] 1. Data collection: This provides a mechanism for managing and using data collected from customers. In this step, attribute data, experience data, device acquisition data, app acquisition data, etc. are collected and stored in the system.

[0046] 2. Use of generative AI: In this form, generative AI analyzes data and generates optimal answers and suggestions for customers. Generative AI can handle a wide range of tasks, including question answering, food suggestions, detailed store information, and event notifications. Generative AI provides personalized information by taking into account attribute data, experience data, and device-acquired data.

[0047] 3. Data Security and Privacy Protection: This model ensures the security and privacy of collected data. Personal information is anonymized and stored in a secure database. Regulations and policies regarding data handling are also implemented to minimize security risks.

[0048] 4. Utilizing digital technology: This model actively utilizes smart devices and digital technology. Using QR code menus and AR technology, customers can obtain information through a digital interface and customize their dining experience.

[0049] 5. Implementation of metaverse and AR technology: In this model, we utilize metaverse and AR technology to provide virtual restaurants and avatar concierges, allowing customers to interact with restaurants in a virtual space and enjoy a real dining experience.

[0050] 6. Notification Request Function: This function allows customers to customize notifications from restaurants based on their preferences. Customers will receive timely notifications about new menu items, events, special promotions, and more.

[0051] 7.Explanatory text generation: In this model, the AI ​​automatically generates an album with explanatory text based on the photos and videos taken by customers after visiting a restaurant. Based on the photos and videos selected by the customer, the AI ​​creates explanatory text and provides an album for posting on social media.

[0052] By combining these elements, the present invention provides a personalized dining experience in the food and beverage industry and enables efficient data-driven service provision. Two-way communication between customers and restaurants is promoted, creating new value. EXAMPLES

[0053] The following examples relate to methods and components for carrying out the present invention in practical situations. These examples relate to specific implementations of the present invention and are not intended to limit the scope of the present invention.

[0054] 1. Data Collection System: In an embodiment, a data collection system is used to collect, organize, and store data from customers. The system accepts customer-provided attribute data (preferences, allergy information, restrictions, etc.), experience data (past visits, order history), and device-acquired data (location, camera images) and stores them in a database.

[0055] 2. Generative AI System: The generative AI system accesses data collected from the data collection system and supports customer interactions. When customers ask questions about restaurants and menus through the application, the generative AI generates text responses and provides optimal suggestions. The generative AI takes into account attribute data, experience data, and device acquisition data to provide personalized information.

[0056] 3. Data security and privacy protection: In the implementation examples, data security and privacy protection are ensured. Personal information is anonymized and stored in an encrypted database. Access to data is strictly controlled and complies with security policies.

[0057] 4. Use of digital technology: In this example, smart devices and digital technology are actively used. Customers use a dedicated application to obtain information and improve their experience at the restaurant through QR code menus and AR technology.

[0058] 5. Implementation of Metaverse and AR Technology: In this embodiment, the metaverse and AR technology are introduced to provide a virtual restaurant and avatar concierge. Customers can interact with restaurants in the virtual space and enjoy a dining experience in the virtual environment.

[0059] 6. Notification Request Feature: Customers can request customization of notifications through the application. When there is a new menu or special promotion, the application will send notifications according to the customer's preferences.

[0060] 7. Commentary generation function: In this example, after visiting a restaurant, the AI ​​generates a commentary based on the photos and videos taken by the customer. Customers can easily create albums with commentary to post on social media. [Industrial Applicability]

[0061] Embodiments of the present invention have broad applicability in the food and beverage and related industries. Below is more information on how the present invention can be utilized industrially:

[0062] 1. Application to the Food & Beverage Industry: This invention has direct application in the food and beverage industry. Restaurants, cafes, pubs, fast food chains and other food establishments can adopt this invention to provide personalized services to their customers, such as providing dishes tailored to customer preferences, offering special promotions, and introducing digital menus.

[0063] 2. Food delivery services: The present invention can also be used in the food delivery service industry. By utilizing data management systems and generative AI, an efficient food delivery service can be provided that takes into account the customer's past order history and preferences. It is also possible to provide customized menus to meet the special requests of customers.

[0064] 3. Leisure and entertainment industry: The invention can also be applied to leisure and entertainment venues. When customers enjoy a dining experience in the venue, generative AI and data management systems can be used to provide food and services that are tailored to the customer's preferences. In addition, the introduction of virtual dining experiences and avatar concierges can provide new entertainment elements.

[0065] 4. Tourism and Hospitality: This invention can also be useful in tourist destinations, hotels and resorts. Generative AI and data management systems can be used to provide tourists and guests with local food and beverage experiences and restaurant information, providing them with a customized travel experience. Food and beverage experiences within the accommodation can also be efficiently customized.

[0066] 5. Social Media and Online Communities: This invention can also be applied to social media platforms and online communities. Through generative AI, customers can easily create albums with explanatory notes to post on social media, and can also share and recommend food and beverage information.

[0067] 6. Healthcare and Fitness Industry: With the current trend of increasing health consciousness, the present invention can also be applied to the healthcare and fitness industry. Generative AI can provide appropriate food and drink suggestions based on the user's health condition and dietary restrictions.

[0068] In these industry sectors, the invention offers a wide range of potential applications, including improved customer engagement, more efficient service delivery and the creation of new revenue opportunities.

Claims

1. A plug-in that uses customer attribute data, experience data, device acquisition data, and app acquisition data in the food and beverage business model to suggest optimal restaurants and menus through generative AI.

2. A method according to claim 1, in which the generating AI recognizes attribute data such as customer preferences, allergy information, religious restrictions, requests for organically grown ingredients, calorie specifications, etc., and selects a corresponding menu.

3. 2. The method of claim 1, wherein the generative AI leverages customer experience data to make menu suggestions based on previous visit history.

4. A method as claimed in claim 1, in which the generating AI uses device-acquired data and app-acquired data to make menu suggestions taking into account the customer's current state and environmental information.

5. A method according to claim 1, in which the generating AI utilizes metaverse and AR technology to serve the user as a food and beverage concierge within a virtual store, recognizing attribute data, experience data, and device data to make optimal suggestions.

6. The method of claim 1 , wherein a plug-in notifies a user of restaurants.

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