Abstract: Described are a system, method, and computer program product for generating real-time predictions for vehicle transportation requests using machine learning.

Abstract: Described are a system, method, and computer program product for machine-learning-based traffic prediction. The method includes receiving historic transaction data including a plurality of transactions. The method also includes generating, using a machine-learning classification model, a transportation categorization for at least one consumer. The method further includes receiving at least one message associated with at least one transaction, identifying at least one geographic node of activity in the region, and generating an estimate of traffic intensity for the at least one geographic node of activity. The method further includes comparing the estimate of traffic intensity to a threshold of traffic intensity and, in response to determining that the estimate of traffic intensity satisfies the threshold: generating a communication configured to cause at least one navigation device to modify a navigation route; and communicating the communication to the at least one navigation device.

Abstract: Described are a system, method, and computer program product for generating real-time predictions for vehicle transportation requests using machine learning.

Abstract: Described are a system, method, and computer program product for generating real-time predictions for vehicle transportation requests using machine learning.

Abstract: Described are a system, method, and computer program product for machine-learning-based traffic prediction. The method includes receiving historic transaction data including a plurality of transactions. The method also includes generating, using a machine-learning classification model, a transportation categorization for at least one consumer. The method further includes receiving at least one message associated with at least one transaction, identifying at least one geographic node of activity in the region, and generating an estimate of traffic intensity for the at least one geographic node of activity. The method further includes comparing the estimate of traffic intensity to a threshold of traffic intensity and, in response to determining that the estimate of traffic intensity satisfies the threshold: generating a communication configured to cause at least one navigation device to modify a navigation route; and communicating the communication to the at least one navigation device.

Abstract: Described are a system, method, and computer program product for machine-learning-based traffic prediction. The method includes receiving historic transaction data including a plurality of transactions. The method also includes generating, using a machine-learning classification model, a transportation categorization for at least one consumer. The method further includes receiving at least one message associated with at least one transaction, identifying at least one geographic node of activity in the region, and generating an estimate of traffic intensity for the at least one geographic node of activity. The method further includes comparing the estimate of traffic intensity to a threshold of traffic intensity and, in response to determining that the estimate of traffic intensity satisfies the threshold: generating a communication configured to cause at least one navigation device to modify a navigation route; and communicating the communication to the at least one navigation device.

Abstract: When a user moves into a geographical region around a location, a notification is sent to the user computing device regarding gameplay and an associated incentive related to a merchant location. The user enters the merchant location and a game server generates augmented reality (AR) data for the computing device to use in playing a game at the merchant location. The camera of the computing device captures interior views of the merchant location and a game instance on the computing device uses those images in generation of an AR game at the user computing device related to the merchant. Upon successful completion of the game play, the user receives an incentive or award. The merchant may use an application program interface (API) hosted by the game server to allow specifying game conditions and related awards.

Abstract: Described are a system, method, and computer program product for generating real-time predictions for vehicle transportation requests using machine learning.

Abstract: Described are a system, method, and computer program product for machine-learning-based traffic prediction. The method includes receiving historic transaction data including a plurality of transactions. The method also includes generating, using a machine-learning classification model, a transportation categorization for at least one consumer. The method further includes receiving at least one message associated with at least one transaction, identifying at least one geographic node of activity in the region, and generating an estimate of traffic intensity for the at least one geographic node of activity. The method further includes comparing the estimate of traffic intensity to a threshold of traffic intensity and, in response to determining that the estimate of traffic intensity satisfies the threshold: generating a communication configured to cause at least one navigation device to modify a navigation route; and communicating the communication to the at least one navigation device.

Abstract: Described are a system, method, and computer program product for machine-learning-based traffic prediction. The method includes receiving historic transaction data including a plurality of transactions. The method also includes generating, using a machine-learning classification model, a transportation categorization for at least one consumer. The method further includes receiving at least one message associated with at least one transaction, identifying at least one geographic node of activity in the region, and generating an estimate of traffic intensity for the at least one geographic node of activity. The method further includes comparing the estimate of traffic intensity to a threshold of traffic intensity and, in response to determining that the estimate of traffic intensity satisfies the threshold: generating a communication configured to cause at least one navigation device to modify a navigation route; and communicating the communication to the at least one navigation device.

Abstract: When a user moves into a geographical region around a location, a notification is sent to the user computing device regarding gameplay and an associated incentive related to a merchant location. The user enters the merchant location and a game server generates augmented reality (AR) data for the computing device to use in playing a game at the merchant location. The camera of the computing device captures interior views of the merchant location and a game instance on the computing device uses those images in generation of an AR game at the user computing device related to the merchant. Upon successful completion of the game play, the user receives an incentive or award. The merchant may use an application program interface (API) hosted by the game server to allow specifying game conditions and related awards.