Abstract: Described are a system and method for dynamic promotional offers during user interaction at an automated teller machine (ATM). The method includes receiving, at the ATM, a transaction request based on an account identifier associated with an account of a user. The method also includes determining, based on the account identifier, that the account of the user was issued by an issuer that is different than an acquirer associated with the ATM. The method further includes, in response to determining that the account was issued by the issuer, generating, with at least one processor, an authorization request message based on the transaction request and the account identifier. The method further includes receiving an authorization response message comprising embedded user profile data and generating, on a display of the ATM, at least one offer based on the embedded user profile data.

Abstract: A clearing delay estimate may be employed that provides issuers with an accurate estimate for when a transaction will be cleared, thus providing more transparency to issuers to more efficiently manage funds. An algorithm may be employed to estimate clearance timing information and insert the timing information into communications with the issuer or other parties to a transaction involving a payment device. The estimated clearance timing information may be determined based on machine learning and other artificial intelligence techniques using historical data related to clearance timing for the particular entities involved in each transaction.

Abstract: A clearing delay estimate may be employed that provides issuers with an accurate estimate for when a transaction will be cleared, thus providing more transparency to issuers to more efficiently manage funds. An algorithm may be employed to estimate clearance timing information and insert the timing information into communications with the issuer or other parties to a transaction involving a payment device. The estimated clearance timing information may be determined based on machine learning and other artificial intelligence techniques using historical data related to clearance timing for the particular entities involved in each transaction.

Abstract: Provided is a method for predicting future states based on time series data using feature engineering and/or hybrid machine learning models. The method may include receiving payment transaction data associated with a plurality of payment transactions, the plurality of payment transactions including a first subset of payment transactions associated with a first entity; determining a plurality of features based on the payment transaction data associated with the plurality of payment transactions; inputting the plurality of features into at least one machine learning model to provide at least one prediction of a net settlement position of the first entity; and communicating the at least one prediction of the net settlement position to a first entity system associated with the first entity. A system and computer program product are also disclosed.

Abstract: Described are a system and method for dynamic promotional offers during user interaction at an automated teller machine (ATM). The method includes receiving, at the ATM, a transaction request based on an account identifier associated with an account of a user. The method also includes determining, based on the account identifier, that the account of the user was issued by an issuer that is different than an acquirer associated with the ATM. The method further includes, in response to determining that the account was issued by the issuer, generating, with at least one processor, an authorization request message based on the transaction request and the account identifier. The method further includes receiving an authorization response message comprising embedded user profile data and generating, on a display of the ATM, at least one offer based on the embedded user profile data.

Abstract: A clearing delay estimate may be employed that provides issuers with an accurate estimate for when a transaction will be cleared, thus providing more transparency to issuers to more efficiently manage funds. An algorithm may be employed to estimate clearance timing information and insert the timing information into communications with the issuer or other parties to a transaction involving a payment device. The estimated clearance timing information may be determined based on machine learning and other artificial intelligence techniques using historical data related to clearance timing for the particular entities involved in each transaction.

Abstract: Systems, computer-implemented methods, and computer program products for determining correspondence of non-indexed records are described herein. The method may include receiving a clearing record including at least one key field, comparing a value associated with a first key field of the clearing record to a value associated with a first key field of one or more authorization records associated with one or more payment transactions, and determining that the clearing record corresponds to an authorization record from among the one or more authorization records based on comparing the value associated with the first key field of the clearing record to the value associated with the first key field of the one or more authorization records. The method also includes generating an updated clearing record based on determining that the clearing record corresponds to the authorization record, and transmitting the updated clearing record.

Abstract: Provided is a computer-implemented method for determining a loyalty program account at a point-of-sale (POS) device comprising receiving payment transaction data associated with a payment transaction between a user and a merchant, identifying a loyalty program provider associated with the merchant based on receiving merchant identification data associated with an identification of the merchant included in the payment transaction data, determining a user identifier identifying a loyalty program account based on a payment account number of a payment account, communicating a request for validation of the loyalty program account, the request for validation including the user identifier, receiving an indication that the loyalty program account of the user is valid and loyalty program account information associated with the loyalty program account of the user, and processing the payment transaction between the user and the merchant. A system and computer program product are also disclosed.

Abstract: A clearing delay estimate may be employed that provides issuers with an accurate estimate for when a transaction will be cleared, thus providing more transparency to issuers to more efficiently manage funds. An algorithm may be employed to estimate clearance timing information and insert the timing information into communications with the issuer or other parties to a transaction involving a payment device. The estimated clearance timing information may be determined based on machine learning and other artificial intelligence techniques using historical data related to clearance timing for the particular entities involved in each transaction.

Abstract: A method for automatically generating an account profile for a user or household, including: determining a first key identification data element type; determining a first key identification data element value; determining a linking identification data element type different than the first key identification data element type; determining at least one linking identification data element value; determining at least one second key identification data element value; and generating an account profile for the user or profile, the user account profile comprising a plurality of key identification data element values associated with the at least one user. A system and computer program product for automatically generating an account profile for a user or household are also disclosed.