Abstract: A system and method for real-time geophysical social grouping comprising customer profiles and venue profiles, wherein the profiles comprise expressed and inferred attributes, and a social grouping and recommendation server which utilizes machine learning algorithms on the profiles to generate recommendations for social group pairing, venues, and activities. Attribute matching provides optimized grouping between customers who share certain commonalities while also providing venues a system for locating and attracting ideal customers. Machine learning algorithms may be used to analyze profile attributes and identify patterns of commonality that would not otherwise be recognized. This system allows patrons to meet, dine, and socialize with one or more matched individuals at a venue that satisfies all participants preferences and attributes.

Abstract: A system and method for automated delivery driver routing and order preparation timing. The system is a cloud-based network containing an optimization server, portals for restaurants, customers, and drivers to enter their information, and an optimization engine which determines optimal pickup and delivery times for delivery drivers based on a multitude of variables associated with the business enterprises and delivery driver availability. The system may be accessed through web browsers or purpose-built computer and mobile phone applications.

Abstract: A system and method for intelligent service intermediation comprising a service intermediation server, which stores advanced global machine and deep learning models for natural language understanding, intent analysis, and constructing a central artificial intelligence that may be used to function as one intelligent service intermediary serving many parties, each acting in one or more roles, simultaneously, and a plurality of service edge devices which store local versions of the global machine and deep learning models and which use local data to train the local model. Service intermediation server has global state information associated with all services and edge devices it connects with and may use the global state information to generate predictions and optimizations in the form of service actions in order to intermediate actions between and among services and service participants.

Abstract: A system and method for predictive pre-authorization of transactions using biometrics which uses wireless mobile devices and biometric scanning to automatically predict pre-authorized transaction amounts in a secure manner without requiring the customer to handle his or her mobile device. The system and method uses a payment facilitation device at the business location which automatically detects and recognizes registered mobile devices, displays a photo of the customer to a business employee for identity confirmation, verifies the customer with a biometrics verification database, generates a pre-authorization amount with an authorization generator, and automatically deducts payments for purchases from a pre-authorized customer account.

Abstract: A system and method of combining table management software and customer experience skills by generating profiles of patrons, servers, and restaurants and using machine learning algorithms on those profiles to build more intimate relationships between patrons, food service establishments, and food service professionals. Trait matching provides optimized matchmaking between patrons and servers who share certain commonalities while also balancing the table management operations. Machine learning algorithms may be used to identify patterns of commonality that would not otherwise be recognized. This system allows patrons to choose servers at an establishment over a plurality of electronic devices by using the cluster analysis results. It provides servers more lateral work experience between participating restaurants, and restaurants more power to operate smoothly and build highly cohesive teams.

Abstract: A system and method for minimal contact in-person business transactions using a code generator and a mobile device, which can use a banking card, mobile device, card reader and associated display, cashier display at a point-of-sale (“POS”) system, internet-connected server, and financial institution, which minimizes customer physical contact with payment personnel or physical systems by offloading the final stages of sale confirmation and customer choices onto a customer's mobile device.

Abstract: A system and method for customer and business referral with a concierge system, comprising a database comprising customer and business information, a mobile device operating a concierge application, and a referral engine, to allow users to register for and install the concierge application, and use it to place orders for products, services, or reservations with participating businesses, gives or place these orders for other users who approve of receiving the product, service, or reservation, and compensating concierge application users who have a commercial interest in operating the application, called a commercial concierge, who may be compensated for referring users to various businesses for products, services, or reservations the user may enjoy or be searching for, in lieu of a traditional concierge that may help refer customers manually.

Abstract: A system and method for biomarker-based personalized food item design. The system is a cloud-based network containing an API connector, portals for restaurants and patrons, to enter their information, and machine learning engine which creates a unique dietary experience for patrons based on a multitude of variables associated with the business enterprises, user biomarker data, a user specific biomarker goal, dietary needs, ingredient information, and preferences both explicit and inferred. The system may be accessed through web browsers or purpose-built computer and mobile phone applications.

Abstract: A system and method for third-party food and dining ordering control, comprising at least one device capable of accessing the internet which may be a mobile device or personal computing device such as a laptop or desktop, a web application, and a point-of-sale system at a restaurant or retailer, wherein users of the web application may deposit funds into an account and set regulations on what they may purchase with the deposited funds, or have an administrator set up an account for them such as a parent setting up an account for a child or a doctor setting up an account for a patient, allowing the parent or doctor or other administrator to regulate what the sub-user such as the child or patient may purchase, in keeping with budget, diet, and lifestyle restrictions, and which may utilize zero-step authentication to allow for seamless use of the service at certain establishments.

Abstract: A system and method for real-time predictive financial, inventory, and staffing management. The system is a cloud-based network containing a predictive cashflow management engine, payment engine, predictive inventory management engine, inventory optimization engine, predictive staffing management engine, staff optimization engine, mobile and compute devices, staff and vendors, gateways for vendors and staff to interface with financial institutions and other 3rd party businesses, enterprise database to store and retrieve including financial data, staffing data, and inventory data. Taken together or in part, optimize organizational operations by predicting and optimizing in real-time key operational decisions using artificial intelligence or other computerized methods around financial, staffing, and inventory management based upon a multitude of variables associated with the enterprise.

Abstract: A system and method for personalized food item designer and culinary fulfillment. The system is a cloud-based network containing a food item design server, portals for restaurants and patrons, to enter their information, and a recipe generator which creates a unique dietary experience for patrons based on a multitude of variables associated with the business enterprises, patrons historic culinary transactions, dietary needs and preferences both explicit and inferred. The system may be accessed through web browsers or purpose-built computer and mobile phone applications.

Abstract: A system and method for automated order preparation and fulfillment timing. The system is a cloud-based network containing an optimization server, portals for restaurants, customers, and drivers to enter their information, and an optimization engine which determines an optimal state for consumption of, and timing for fulfillment of, an order based on a multitude of variables associated with the business enterprises and delivery driver availability. The system may be accessed through web browsers or purpose-built computer and mobile phone applications.

Abstract: A zero-step authentication system and method which uses wireless mobile devices to automatically make payments in a secure manner without requiring the customer to handle his or her mobile device. The system and method uses a payment facilitation device at the business location which automatically detects and recognizes registered mobile devices, displays a photo of the customer to a business employee for identity confirmation, and automatically deducts payments for purchases from a pre-authorized customer account. The customer account is managed by a payment processing server, which stores the customer account data, makes appropriate deductions, sends confirmation of deductions to the customer's mobile device, and automatically refills the customer's account by making pre-authorized charges to the customer's banking institution.

Abstract: A system and method of combining table management software and customer experience skills by generating profiles of patrons, servers, and restaurants by using machine learning algorithms on and location data in those profiles to build more intimate relationships between patrons, food service establishments, and food service professionals. Trait matching provides optimized matchmaking between patrons and servers who share certain commonalities or affinities while also balancing the table management operations. Machine learning algorithms may be used to identify patterns of commonality that would not otherwise be recognized. This system allows patrons to choose servers at an establishment over a plurality of electronic devices by using the cluster analysis results. It provides servers more lateral work experience between participating restaurants, and restaurants more power to operate smoothly and build highly cohesive teams.

Abstract: A system and method for third-party food and dining ordering control, comprising at least one device capable of accessing the internet which may be a mobile device or personal computing device such as a laptop or desktop, a web application, and a point-of-sale system at a restaurant or retailer, wherein users of the web application may deposit funds into an account and set regulations on what they may purchase with the deposited funds, or have an administrator set up an account for them such as a parent setting up an account for a child or a doctor setting up an account for a patient, allowing the parent or doctor or other administrator to regulate what the sub-user such as the child or patient may purchase, in keeping with budget, diet, and lifestyle restrictions, and which may utilize zero-step authentication to allow for seamless use of the service at certain establishments.

Abstract: A system and method for image-based personalized food item search, design, and culinary fulfillment. The system is a cloud-based network comprising a food image engine, a prediction engine, a food item design engine, and portals for restaurants and patrons to enter their information. The system may receive as an input a food item image, perform image recognition on the food item image to identify a target food item, use the identified target food item to predict an ingredient list for the target food item, and generate personalized target food item recommendations for patrons based on a multitude of variables associated with the business enterprises, patrons historic culinary transactions, dietary needs and preferences both explicit and inferred. The system may be accessed through web browsers or purpose-built computer and mobile phone applications.

Abstract: A user health profile is created at a personal food item customization system. The personal food item customization system receives a food item recipe including a plurality of ingredients, identifies at least one ingredient that includes a nutritional value that places the food item outside of a nutritional parameter range in the user health profile, modifies one or more identified ingredients in the food item recipe to bring the nutritional value of the nutrient in the food item within the nutritional parameter range, and generates a user specific food item recipe.

Abstract: A zero-step authentication system and method which uses biometric data to automatically make payments in a secure manner without requiring the customer to handle his or her mobile device. The system and method use a biometrics verification server and a payment facilitation device at the business location which automatically detects and recognizes registered mobile devices, displays a photo of the customer to a business employee for identity confirmation, and automatically deducts payments for purchases from a pre-authorized customer account. The customer account is managed by a payment processing server, which stores the customer account data, makes appropriate deductions, sends confirmation of deductions to the customer's mobile device, and automatically refills the customer's account by making pre-authorized charges to the customer's banking institution.

Abstract: A system and methods for zero-step customer proximity detection using mobile device low emissions beacons, which uses a customer mobile device, a single or plurality of BLUETOOTH™ low-emissions (BTLE) beacons, a network, a server, and an application that may operate separately on a mobile device and the single or plurality of BLUETOOTH™ low-emissions (BTLE) beacons, which allows businesses to detect known customers that come within a specified proximity of any connected BTLE beacons, and provide interactions with them on a zero-step and socially distanced basis, track their proximity to other customers and staff using similar applications, manage table assignments, offer deals or provide incentives to enter or patronize a business establishment.

Abstract: A system and method for third-party food and dining ordering control using digital receipts, comprising at least one device capable of accessing the internet which may be a mobile device or personal computing device such as a laptop or desktop, a web application, and a point-of-sale system at a restaurant or retailer, wherein users of the web application may deposit funds into an account and set regulations on what they may purchase with the deposited funds, or have an administrator set up an account for them, allowing the administrator to regulate what the sub-user may purchase, in keeping with budget, diet, and lifestyle restrictions, which may utilize zero-step authentication to allow for seamless use of the service at certain establishments, and which may implement the generation and transmission of interactive digital receipts which can provide registered users with greater control over subordinate user accounts.