Abstract: Methods and systems described in this disclosure are directed to electronically generating narratives and tracking a user's actions in responses to receiving the narratives. The disclosed system can rank narratives for effectiveness of a narrative based on the responses. In some embodiments, the narratives can be classified into categories based on criteria pertaining to user population data or user-specific data.

Abstract: Disclosed herein are systems and methods capable of establishing a communication session between a customer and an analyst. The contents of the communication session are analyzed to make recommendations of goods and services to the customer. Otherwise, the communication session may be redirected from one channel, for example, chatting to another channel, for example, voice call, to another analyst. The customer's information and the communication session details are retained, and provided to another analyst before the customer is redirected. Such systems, apparatuses, methods, and computer program products use real-time machine learning scoring algorithm to determine which analyst the customers should be transferred to, and thereby saving a lot of time for both the analysts and the customers, and significantly reduce misroutes by eliminating human errors.

Abstract: Disclosed herein are systems and methods capable of establishing a communication session between a customer and an analyst. The contents of the communication session are analyzed to make recommendations of goods and services to the customer. Otherwise, the communication session may be redirected from one channel, for example, chatting to another channel, for example, voice call, to another analyst. The customer's information and the communication session details are retained, and provided to another analyst before the customer is redirected. Such systems, apparatuses, methods, and computer program products use real-time machine learning scoring algorithm to determine which analyst the customers should be transferred to, and thereby saving a lot of time for both the analysts and the customers, and significantly reduce misroutes by eliminating human errors.

Abstract: Disclosed herein are systems and methods capable of establishing a communication session between a user and an analyst. The contents of the communication session are analyzed to make recommendations of goods and services to the user. Otherwise, the communication session may be redirected from one channel, for example, chatting to another channel, for example, voice call, to another analyst. The user's information and the communication session details are retained, and provided to another analyst before the user is redirected. Such systems, apparatuses, methods, and computer program products use real-time machine learning scoring algorithm to determine which analyst the users should be transferred to, and thereby saving a lot of time for both the analysts and the users, and significantly reduce misroutes by eliminating human errors.