Platform for Optimization and Personalization of Existing Communication Channels

A method for optimization and personalization of a plurality of existing communication channels, the method comprising:

• aggregating user data received from a plurality of data sources, the user data being associated with at least one user;
• creating at least one user profile for the at least one user based on the aggregated user data;
• creating a business logic for user interactions of the at least one user via the plurality of existing communication channels, the business logic including a plurality of trigger conditions and a plurality of actions corresponding to the plurality of trigger conditions;
• mapping, using a recommendation algorithm, content to the at least one user according to the business logic, the content being templatized to create personalized communication messages for the plurality of existing communication channels;
• receiving feedback data in response to the user interactions with the personalized communication messages;
• updating the at least one user profile with the feedback data;
• and
• updating the recommendation algorithm and a next suggestion communication action based on the updated at least one user profile.

A system for optimization and personalization of a plurality of existing communication channels, the system comprising:

• a data aggregation module configured to:
• aggregate user data received from a plurality of data sources, the user data being associated with at least one user;
• create at least one user profile for the at least one user based on the aggregated user data;
• enrich the user data using an artificial intelligence (AI);
• receive feedback data in response to user interactions of the at least one user with personalized communication messages;
• update the at least one user profile with the feedback data;
• and
• update a recommendation algorithm and a next suggestion communication action based on the at least one updated user profile, wherein the recommendation algorithm is further configured to predict user behavior associated with the at least one user using machine learning techniques, wherein the recommendation algorithm includes one or more of the following:
• an algorithm created by developers associated with the system, an algorithm created by a third party, and a product data feed;
• a communication channel orchestration interface configured to create a business logic for the user interactions of the at least one user via the plurality of existing communication channels, the business logic including a plurality of trigger conditions and a plurality of actions corresponding to the plurality of trigger conditions;
• and
• a content mapping and individualization module configured to map, using the recommendation algorithm, content to the at least one user according to the business logic, the content being templatized to create the personalized communication messages for the plurality of existing communication channels.