System and method for pre-loading content in a web environment

A method for predictive preloading of a web environment during a user session, comprising:

• receiving, during the user session, user activity data of the user;
• predicting a likely next action that the user will take within the web environment by applying the received user activity data to a machine learning model trained to identify one or more web interface interactions corresponding to the user activity data;
• fetching web interface data corresponding to the likely next action;
• and
• loading the fetched web interface data into memory prior to detecting an actual next action of the user.

A non-transitory computer-readable storage medium storing instructions thereon that when read executed by one or more processors cause the one or more processors to execute functions, comprising:

• receiving a user identity of a user;
• retrieving historical and environmental data associated with the user based on the user identity;
• calculating an initial next action prediction by applying the historical and environmental data to a machine learning model trained to identify one or more web interface interactions corresponding to historical and environmental data;
• fetching initial web interface data corresponding to the initial next action;
• preloading the fetched initial web interface data into memory prior to detecting an actual next action of the user;
• receiving user activity data of the user;
• calculating a subsequent next action prediction based on the user activity data;
• fetching subsequent data needed to carry out the subsequent next action;
• and
• preloading the fetched subsequent data into the memory prior to determining an actual next action of the user.