US 11,838,170 B1
Messaging segmentation based on data flow informatics
Kevin Green, Matthews, NC (US); Raphael Fitzgerald, Winston-Salem, NC (US); and Paul Gerard Mistor, Winston-Salem, NC (US)
Assigned to Truist Bank, Charlotte, NC (US)
Filed by Truist Bank, Charlotte, NC (US)
Filed on May 11, 2022, as Appl. No. 17/662,878.
Int. Cl. H04L 41/16 (2022.01); H04L 41/0604 (2022.01); H04L 43/08 (2022.01)
CPC H04L 41/0618 (2013.01) [H04L 41/0622 (2013.01); H04L 41/16 (2013.01); H04L 43/08 (2013.01)] 19 Claims
OG exemplary drawing
 
15. A method for a first entity computing system to monitor quantized signals in a bidirectional data stream and alert a networked device of metric divergence by georegion, the first entity computing system including one or more processor and at least one of a memory device and a non-transitory storage device, the one or more processor configured to execute computer-readable instructions, the method comprising, upon execution of the computer-readable instructions, for each specific user entity of multiple user entities:
receiving input event signals and storing corresponding timestamped input event records associated with the specific user entity, each of the timestamped input event records representing a respective quantized input event;
incrementing, respectively for each one of at least some of the timestamped input event records, one or more respective quantized resource of the specific user entity by a respective input quantity, the respective input quantity fetched by the first entity from a respective other party;
receiving output event signals and storing corresponding timestamped output event records associated with the specific user entity, each of the timestamped output event records representing a respective quantized output event;
decrementing, respectively for each one of at least some of the timestamped output event records, a respective output quantity from the one or more quantized resource of the specific user entity, the respective output quantity discharged by the first entity;
discriminating, for at least some of the timestamped input event records, a respective at least one georegion-specific attribute associated with a respective georegion;
associating each timestamped input event record, for which a respective at least one georegion-specific attribute is discriminated, with the respective georegion;
measuring for a first time interval, for each georegion with which timestamped input event records of the specific user-entity are associated and timestamped within the first time interval, a respective georegion-specific metric;
measuring, for each georegion for which a georegion-specific metric is measured, a georegion-specific index, wherein the georegion-specific index is at least one of representative of timestamped input event records of the specific user entity within a second time interval preceding at least in part the first time interval, and representative of timestamped input event records of other user entities;
determining, for each georegion for which a georegion-specific metric is measured, whether the georegion-specific metric diverges from the georegion-specific index; and
automatically sending an alert across the network connection for display at least in part on at least one user device associated with the specific user entity upon determining the georegion-specific metric diverges from the georegion-specific index by subceeding the georegion-specific index, the alert comprising an indication to the specific user entity that the user-specific georegion-specific metric diverges from the georegion-specific index by subceeding the georegion-specific index.