Systems and methods for dispute resolution

A method implemented via execution of computing instructions configured to run at one or more processors and configured to be stored at non-transitory computer-readable media, the method comprising:

• using a machine learning engine comprised of a plurality of machine learning modules that correspond to a plurality of respective tiers to perform:
• receiving dispute resolution information from a user corresponding to a dispute, wherein the dispute resolution information comprises a first data input and a second data input;
• analyzing, with a first machine learning module in a first tier of the machine learning engine, the dispute resolution information from the user to identify a dispute reason, wherein the first tier corresponds to a first level of dispute reasons and the first machine learning module is trained to analyze the first level of dispute reasons to identify the dispute reason within the first level of dispute reasons;
• analyzing, with at least one of second and third machine learning modules in a second tier of the machine learning engine, the dispute resolution information based on the dispute reason, as identified, wherein the second tier corresponds to a second level of dispute reasons each related to a respective dispute reason in the first level of dispute reasons and the at least one of the second and third machine learning modules is trained to analyze the second level of dispute reasons to identify the dispute reason within the second level of dispute reasons;
• and
• determining a dispute resolution based on an output of the second tier of the machine learning engine to resolve the dispute;
• training the machine learning engine on the dispute resolution information, wherein the training of the machine learning engine comprises individually training each of the first machine learning module, the second machine learning module, and the third machine learning module based on corresponding dispute reason codes using partial computing resources of the machine learning engine;
• and
• based on the determined dispute resolution, executing one or more dispute resolution actions, wherein the one or more dispute resolution actions include at least one of outputting a dispute reason code, replacing a dispute reason code submitted by the user, and processing the dispute resolution to remove the dispute from further processing.

A non-transitory computer-readable medium storing instructions that upon execution by a processor, cause the processor to perform operations including a computer-implemented method, the computer-implemented method comprising:

• using a machine learning engine comprised of a plurality of machine learning modules that correspond to a plurality of respective tiers to perform:
• receiving dispute resolution information from a user corresponding to a dispute, wherein the dispute resolution information comprises a first data input and a second data input;
• analyzing, with a first machine learning module in a first tier of the machine learning engine, the dispute resolution information from the user to identify a dispute reason, wherein the first tier corresponds to a first level of dispute reasons and the first machine learning module is trained to analyze the first level of dispute reasons to identify the dispute reason within the first level of dispute reasons;
• analyzing, with at least one of second and third machine learning modules in a second tier of the machine learning engine, the dispute resolution information based on the dispute reason, as identified, wherein the second tier corresponds to a second level of dispute reasons each related to a respective dispute reason in the first level of dispute reasons and the at least one of the second and third machine learning modules is trained to analyze the second level of dispute reasons to identify the dispute reason within the second level of dispute reasons;
• and
• determining a dispute resolution based on an output of the second tier of the machine learning engine to resolve the dispute;
• training the machine learning engine on the dispute resolution information, wherein the training of the machine learning engine comprises individually training each of the first machine learning module, the second machine learning module, and the third machine learning module based on corresponding dispute reason codes using partial computing resources of the machine learning engine;
• and
• based on the determined dispute resolution, executing one or more dispute resolution actions, wherein the one or more dispute resolution actions include at least one of outputting a dispute reason code, replacing a dispute reason code submitted by the user, and processing the dispute resolution to remove the dispute from further processing.