Abstract: A system and method for generating recommendations of a vehicle corresponding to a driver's driving behavior includes receiving driving behavior data of the vehicle, receiving data related to ownership of the vehicle, receiving vehicle sales market data, generating an asset valuation, generating a recommendation to a user, and providing the recommendation to the user through a user device. The driving behavior data is generated from vehicle sensors and is received with one or more processors communicatively coupled to a vehicle. A trained machine-learning model is implemented by the one or more processors and generates an asset valuation. The trained machine-learning model generates a recommendation to a user based on the asset valuation and the driving behavior data. The recommendation includes a new or used vehicle for purchase or leasing. The recommendation is provided to a user though a user device.

Abstract: A method for providing an NFT includes receiving CAN data from a current vehicle of a user, receiving, with the computing device, a specification of a new vehicle of the user, calculating an estimated carbon footprint based on CAN data from the current vehicle, calculating an expected carbon footprint based on the specification of the new vehicle and driving behavior defined by the CAN data from the current vehicle, determining a difference between the estimated carbon footprint and the expected carbon footprint, qualifying the new vehicle for the NFT, in response to determining that the difference is greater than a threshold value and the expected carbon footprint is less than the estimated carbon footprint, in response to qualifying the new vehicle for the NFT, executing an NFT design process, and causing the NFT generated by the NFT design process to be delivered to the user.

Abstract: Methods and apparatus for improving automatic selection and timing of messages by a machine or system of machines include an inductive computational process driven by log-level network data from mobile devices and other network-connected devices, optionally in addition to traditional application-level data from cookies or the like. The methods and apparatus may be used, for example, to improve or optimize effectiveness of automatically-generated electronic communications with consumers and potential consumers for achieving a specified target.

Abstract: Methods and apparatus for improving automatic selection and timing of messages by a machine or system of machines include an inductive computational process driven by log-level network data from mobile devices and other network-connected devices, optionally in addition to traditional application-level data from cookies or the like. The methods and apparatus may be used, for example, to improve or optimize effectiveness of automatically-generated electronic communications with consumers and potential consumers for achieving a specified target.

Abstract: Automotive vehicles may be manufactured and delivered in accordance with the following process: A computer system containing at least one processor may query one or more databases of social media postings in one or more social media computer networks for social media postings that: identify one or more vehicles or series of vehicles; indicate an intent to purchase the one or more vehicles or series of vehicles; and contain a geocode indicating a location of the author of the social media posting. The computer system may, for each social media posting returned by the querying, determine the one or more vehicles or series of vehicles identified in the social media posting; determine the location of the author of the social media posting based on the geocode contained within the social media posting; and determine what preference or preferences the social media posting expresses for a particular vehicle or configuration of vehicle.

Abstract: A system may identify and tag social media postings that contain information of interest about a subject. The system may determine whether any of the social media postings that do not contain information indicative of the subject were posted in a context that is indicative of the subject; determine whether any of the social media postings contain information that is of interest about the subject; to add metadata tagging the information of interest about the subject to each of the postings that contains information that is of interest about the subject and that contains information that is indicative of the subject; and to add metadata tagging the information of interest about the subject to each of the postings that contains information that is of interest about the subject and that does not contain information that is indicative of the subject, but was posted in a context that is indicative of the subject.

Abstract: A system may identify and tag social media postings that contain information of interest about a subject. The system may determine whether any of the social media postings that do not contain information indicative of the subject were posted in a context that is indicative of the subject; determine whether any of the social media postings contain information that is of interest about the subject; to add metadata tagging the information of interest about the subject to each of the postings that contains information that is of interest about the subject and that contains information that is indicative of the subject; and to add metadata tagging the information of interest about the subject to each of the postings that contains information that is of interest about the subject and that does not contain information that is indicative of the subject, but was posted in a context that is indicative of the subject.