Abstract: A method for encapsulating transaction instrument information in a transaction includes storing, in association with a first transaction and by a processor of the primary transaction processor server, payment data associated with a payment instrument used to settle a cost of a first transaction. The primary transaction processor server transmits the transaction data to a payment network processor. The primary transaction processor server receives an authorization package from the payment network processor that includes a cryptograph and a first network token. The processor of the primary transaction processor server generates a secondary token, and stores a correlation record to a computer-readable memory. The correlation record associates the secondary token to a second object stored by the primary transaction processor. The processor of the primary transaction processor server transmits a second transaction package including at least one of the network token and the secondary token to a merchant device.

Abstract: A method for encapsulating transaction instrument information in a transaction includes storing, in association with a first transaction and by a processor of the primary transaction processor server, transaction data associated with a transaction instrument for a first transaction. The primary transaction processor server transmits the transaction data to a payment network processor, and receives an authorization package in response that includes a cryptograph and a first network token. The primary transaction processor server generates a second token that includes a changeable alpha-numeric string associated with the transaction instrument used in the first transaction, and transmits the second token to a merchant device. The second token indicates that a transaction associated with the second token is either i) a customer-initiated transaction or ii) a merchant-initiated transaction. The secondary transaction processor may approve or reject a transaction using the second token without a cryptogram.

Abstract: A payment processing system is configured to support purchase transactions generated by merchant point-of-sale (POS) devices. Information regarding the purchase transactions is archived and periodically analyzed using machine learning to create a predictive model relating transaction attributes to bank interchange fees. The predictive model is then used to estimate interchange fees that are later passed on to merchants. This allows more accurate settlement with merchants in situations where reports regarding actual interchange fees are not yet available.