G06Q30/0208

MARKET ORCHESTRATION SYSTEM FOR FACILITATING ELECTRONIC MARKETPLACE TRANSACTIONS

Systems and methods for configuring and launching a marketplace are described. A method may include identifying an opportunity for a new marketplace, receiving marketplace opportunity data, determining configuration parameters, and determining a feasibility of implementing the new marketplace configuration. An architecture of the new marketplace may be determined, and marketplace objects configured. Data resources and their configuration in a model may be determined and the data resources connected to marketplace objects. The new marketplace may then be launched.

AI solution selection for an automated robotic process

A method for selecting an AI solution for an automated robotic process including receiving at least one functional media including information indicative of brain activity by a human engaged in a task of interest, analyzing the functional media, identifying an activity level in at least one brain region, identifying a brain region parameter and an activity parameter; identifying an action parameter based in part on the brain region parameter or the activity parameter; and selecting a component of the AI solution in part on the brain region parameter, the activity parameter, or the action parameter.

Systems and methods for generating user offerings responsive to telematics data

A user analytics computing device for processing mobile device telematics data and generating user offerings includes at least one processor in communication with a memory device. The processor is programmed to: (i) form a first group, (ii) receive first telematics data, (iii) parse subsets of the first telematics data, (iv) receive second telematics data, (v) parse subsets of the second telematics data, (vi) retrieve at least one eligibility condition that defines eligibility for the first group to qualify for a user offering, (vii) aggregate one subset of the first telematics data and one subset of the second telematics data associated into first group telematics data, (viii) determine whether the first group telematics data satisfies the at least one eligibility condition, and (ix) compare the first group telematics data to a plurality of other group telematics data to determine whether the first group has won the user offering.

Systems and methods for generating user offerings responsive to telematics data

A user analytics computing device for processing mobile device telematics data and generating user offerings includes at least one processor in communication with a memory device. The processor is programmed to: (i) form a first group, (ii) receive first telematics data, (iii) parse subsets of the first telematics data, (iv) receive second telematics data, (v) parse subsets of the second telematics data, (vi) retrieve at least one eligibility condition that defines eligibility for the first group to qualify for a user offering, (vii) aggregate one subset of the first telematics data and one subset of the second telematics data associated into first group telematics data, (viii) determine whether the first group telematics data satisfies the at least one eligibility condition, and (ix) compare the first group telematics data to a plurality of other group telematics data to determine whether the first group has won the user offering.

NEURAL NETWORK FOR IMPROVING THE STATE OF A RIDER IN INTELLIGENT TRANSPORTATION SYSTEMS
20230052226 · 2023-02-16 ·

A rider state modification system for improving a state of a rider in a vehicle includes a first neural network that operates to classify a state of the vehicle through analysis of information about the vehicle captured by an Internet-of-things device during operation of the vehicle. The rider state modification system further includes a second neural network that operates to optimize at least one operating parameter of the vehicle based on the classified state of the vehicle, information about a state of a rider occupying the vehicle, and information that correlates vehicle operation with an effect on rider state.

SYSTEMS AND METHODS FOR RECYCLING CONSUMER ELECTRONIC DEVICES

Systems and associated methods for recycling and performing other processes with consumer electronic devices are described herein. In various embodiments, the present technology includes systems and methods for identifying and evaluating an electronic device to facilitate processing (e.g., purchasing) the device. In some embodiments, the present technology includes a self-service evaluation apparatus and a cashier terminal that identifies and evaluates a device and that facilitates purchase and recycling of the device. Various other aspects of the present technology are described herein.

SYSTEMS AND METHODS FOR RECYCLING CONSUMER ELECTRONIC DEVICES

Systems and associated methods for recycling and performing other processes with consumer electronic devices are described herein. In various embodiments, the present technology includes systems and methods for identifying and evaluating an electronic device to facilitate processing (e.g., purchasing) the device. In some embodiments, the present technology includes a self-service evaluation apparatus and a cashier terminal that identifies and evaluates a device and that facilitates purchase and recycling of the device. Various other aspects of the present technology are described herein.

INDUCING VARIATION IN USER EXPERIENCE PARAMETERS BASED ON SENSED RIDER PHYSIOLOGICAL DATA IN INTELLIGENT TRANSPORTATION SYSTEMS
20230094450 · 2023-03-30 ·

A system for transportation includes a vehicle interface for gathering physiological sensed data of a rider in the vehicle. The system includes an artificial intelligence-based circuit that is trained on a set of outcomes related to rider in-vehicle experience and that induces, responsive to the sensed rider physiological data, variation in one or more of the user experience parameters to achieve at least one desired outcome in the set of outcomes. The inducing variation includes control of timing and extent of the variation.

INDUCING VARIATION IN USER EXPERIENCE PARAMETERS BASED ON SENSED RIDER PHYSIOLOGICAL DATA IN INTELLIGENT TRANSPORTATION SYSTEMS
20230094450 · 2023-03-30 ·

A system for transportation includes a vehicle interface for gathering physiological sensed data of a rider in the vehicle. The system includes an artificial intelligence-based circuit that is trained on a set of outcomes related to rider in-vehicle experience and that induces, responsive to the sensed rider physiological data, variation in one or more of the user experience parameters to achieve at least one desired outcome in the set of outcomes. The inducing variation includes control of timing and extent of the variation.

SYSTEM AND METHOD FOR ASSISTED PURCHASING, SHIPPING OF PACKAGES, AND SUBSIDIZING AIRFARE VIA PACKAGE DELIVERY
20220351226 · 2022-11-03 ·

A system and method for subsidizing airfare of a traveler for transporting a package as a personal luggage. The disclosed system can provide a traveler interface for travelers traveling to another country to register themselves for transporting the packages. A buyer interface can be provided that allows the buyers to buy goods and choose the travelers for shipping their goods purchased from another country.