Methods and systems for dynamic routing of electronic transaction messages

A non-transitory computer readable medium for dynamic routing of electronic transactions, the non-transitory computer readable medium storing instructions that, when executed by one or more processors, cause the one or more processors to perform a method comprising:

• receiving a request message from a point-of-sale (POS) system;
• transmitting the request message to a downstream entity, wherein temporal data associated with the transmission of the request message is stored in a database;
• receiving a first response message corresponding to the request message from the downstream entity, wherein the first response message includes an initial destination processor identifier;
• determining an initial destination processor is unsuccessful in processing the request message due to a connectivity error or a processor error;
• parsing the request message to determine a routing directive associated with the request message, wherein a plurality of routing parameters are generated for configuring the routing directive, and wherein the plurality of routing parameters include a message type, a routing directive type, an error type, and a destination selection criteria;
• retrieving contextual data based on the routing directive, wherein the contextual data includes a response time threshold and an error rate threshold for one or more destination processors;
• training a machine learning model based on a set of training data to determine an appropriate destination processor, wherein the set of training data includes contextual data for a plurality of request messages;
• determining, via the machine learning model, a final destination processor based on the routing directive and the contextual data of the request message, wherein the final destination processor is different from the initial destination processor;
• updating the initial destination processor identifier of the request message to a final destination processor identifier based on the final destination processor;
• transmitting the updated request message to the downstream entity, wherein temporal data associated with the transmission of the updated request message is stored in the database;
• and
• receiving a second response message corresponding to the updated request message from the downstream entity indicating a processing status of the updated request message by the final destination processor.

A system for dynamic routing of electronic transactions, the system comprising:

• one or more processors;
• a non-transitory computer readable medium storing instructions that, when executed by the one or more processors, cause the one or more processors to perform a method comprising:
• receiving a request message from a point-of-sale (POS) system;
• transmitting the request message to a downstream entity, wherein temporal data associated with the transmission of the request message is stored in a database;
• receiving a first response message corresponding to the request message from the downstream entity, wherein the first response message includes an initial destination processor identifier;
• determining an initial destination processor is unsuccessful in processing the request message due to a connectivity error or a processor error;
• parsing the request message to determine a routing directive associated with the request message, wherein a plurality of routing parameters are generated for configuring the routing directive, and wherein the plurality of routing parameters include a message type, a routing directive type, an error type, and a destination selection criteria;
• retrieving contextual data based on the routing directive, wherein the contextual data includes a response time threshold and an error rate threshold for one or more destination processors;
• training a machine learning model based on a set of training data to determine an appropriate destination processor, wherein the set of training data includes contextual data for a plurality of request messages;
• determining, via the machine learning model, a final destination processor based on the routing directive and the contextual data of the request message, wherein the final destination processor is different from the initial destination processor;
• updating the initial destination processor identifier of the request message to a final destination processor identifier based on the final destination processor;
• transmitting the updated request message to the downstream entity, wherein temporal data associated with the transmission of the updated request message is stored in the database;
• and
• receiving a second response message corresponding to the updated request message from the downstream entity indicating a processing status of the updated request message by the final destination processor.