Patent ID: 11972429
Assignee: WALMART APOLLO, LLC
Field: IT methods for management (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A system comprising:
a database; and
a computing device comprising at least one processor, the computing device communicatively coupled to the database and configured to:
obtain initial strategy data characterizing an initial strategy, wherein the initial strategy is based at least in part on an output of a trained classifier;
apply at least one discrete stochastic gradient descent (DSGD) algorithm to the initial strategy data and the output of the trained classifier to generate intermediate strategy data characterizing an intermediate strategy;
apply at least one dimensionality reduction (DR) algorithm to the intermediate strategy data and the output of the trained classifier to generate modified strategy data characterizing at least one rule of a modified strategy, wherein the initial strategy defines a first action space and the modified strategy defines a second action space that is larger than the first action space;
store the modified strategy data in the database;
receive return data identifying the return of at least one item;
obtain, from the database, the modified strategy data;
generate classifier data based on applying the trained classifier to the received return data identifying the return of the at least one item, wherein the trained classifier is trained with previous transaction data to generate the classifier data, wherein the classifier data identifies a probability value that the return is a fraudulent transaction;
determine that the probability value is beyond a first threshold;
determine that the return data comprises a value beyond a second threshold;
apply the modified strategy to the received return data and the classifier data;
determine whether the return of the at least one item is fraudulent based on the application of the modified strategy to the received return data and the classifier data;
based on the determination, generate fraud data identifying whether the return of the at least one item is fraudulent;
store the fraud data in the database; and
transmit, in response to the received return data, the fraud data identifying whether the return of the at least one item is fraudulent.