Patent ID: 11887023
Assignee: WALMART APOLLO, LLC
Field: IT methods for management (Electrical engineering)
Classification: CPC G | IPC G

Claim 19:
20. The method of claim 11, further comprising:
configuring the machine learning architecture to increase accuracy of machine learning model predictions by using historical data of the user by tracking at least one of:
a frequency of the user conducting transactions;
a date or a time the user conducted a transaction on an electronic platform;
inter-purchase intervals (IPIs) associated with the user comprising a median time between IPIs conducted by the user; or
a number of days that elapsed since a most-recent transaction of the user;

training the machine learning architecture using the historical data, wherein the historical data is based on extracted feature vectors, wherein the extracted feature vectors comprise the transaction-based features and the slot-based features over a period of time;
analyzing user engagement data to identify users who regularly conduct transactions on the electronic platform; and
selecting the user based on the user engagement data associated with the user.