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UTILIZING A MACHINE LEARNING MODEL TO DETERMINE WHETHER A TRANSACTION ACCOUNT USER IS TRAVELING

Abstract:

A device may receive historical transaction data associated with transactions conducted via transaction accounts associated with users, and may receive historical travel data indicating whether the users were traveling during times associated with the transactions. The device may train a machine learning model with the historical transaction data and the historical travel data to generate a trained machine learning model, and may receive transaction data associated with transactions conducted via a transaction account associated with a user. The device may process the transaction data, with the trained machine learning model, to determine a confidence score that provides an indication of whether the user is traveling, and may determine whether the confidence score satisfies a confidence threshold. The device may determine that the user is traveling when the confidence score satisfies the confidence threshold, and may perform one or more actions based on determining that the user is traveling.