A computer-implemented method, comprising:
- maintaining, by a device operatively coupled to a processor, a database that correlates a plurality of users to a plurality of financial instrument data and to a plurality of reference identifiers;
- predicting, by the device and via execution of a trained machine learning classifier, that one or more users from the plurality of users are likely to transact within a threshold period of time;
- transmitting, by the device, an instruction to a computerized transaction settlement system causing the computerized transaction settlement system to cache one or more financial instrument data from the plurality of financial instrument data that correspond to the one or more predicted users;
- receiving, by the device, from a computerized financial instrument scanning system a reduced transaction information payload that includes a reference identifier from the plurality of reference identifiers;
- determining, by the device, whether a user corresponding to the reference identifier corresponds to the one or more predicted users;
- and
- in response to determining that the user corresponds to the one or more predicted users, transmitting, by the device, the reduced transaction information payload to the computerized transaction settlement system.