Abstract: Described are a system, method, and computer program product for wait time estimation using predictive modeling. The method includes receiving a request for a predictive wait time estimate from a user including a designated time and a selection of a merchant. The method also includes determining an initial queue length and determining a service rate for each subinterval of a plurality of subintervals from the current time to the designated time. The method further includes producing a plurality of arrival rates using a trained predictive model, and determining a difference between an arrival rate and a service rate for each subinterval, to produce a plurality of changes in queue length. The method further includes determining a queue length based on the plurality of changes in queue length, generating the predictive wait time estimate based on the queue length, and transmitting the predictive wait time estimate to the user.

Abstract: Described are a system, method, and computer program product for generating and applying a predictive wait time estimate using predictive modeling. The method includes receiving initial transaction data representative of a plurality of transactions between a plurality of transaction accounts and at least one merchant. The method also includes generating, for each subinterval, training data including at least one of the following: service rate during the subinterval, number of transactions during the subinterval, total transaction value during the subinterval, mean transaction value during the subinterval, year, month, day of week, or any combination thereof. The method further includes generating a predictive model that generates an output of arrival rate for an input of at least one time parameter. The method further includes generating the predictive wait time estimate for a designated time.

Abstract: Provided is a system and computer-implemented method for encoding account tokens in image files. The method includes receiving, from a user associated with an account identifier, an identification of at least one image, generating at least one token based on the account identifier of the user, encoding the at least one token in the at least one image, resulting in at least one tokenized image, and communicating the at least one tokenized image to a transaction processing system, wherein the transaction processing system is configured to conduct a transaction based on the tokenized image.

Abstract: Described are a system, method, and computer program product for generating and applying a predictive wait time estimate using predictive modeling. The method includes receiving initial transaction data representative of a plurality of transactions between a plurality of transaction accounts and at least one merchant. The method also includes generating, for each subinterval, training data including at least one of the following: service rate during the subinterval, number of transactions during the subinterval, total transaction value during the subinterval, mean transaction value during the subinterval, year, month, day of week, or any combination thereof. The method further includes generating a predictive model that generates an output of arrival rate for an input of at least one time parameter. The method further includes generating the predictive wait time estimate for a designated time.