Abstract: The present disclosure discloses system and method for generating hyper-personalized recommendations from the enterprise and its partner/(s) product offerings space for the users based on dynamic persona creation, influenced by a dynamic context capture and context-chaining mechanism triggered by the past and current activities of a user or the time of occurrence of an event. The User data may be processed to generate a user persona, which may further vary dynamically based on his current and historic subscription/consumption/association data. The context trigger enables the system to generate recommendations even before the need relevant to the context is realized by the user. Thus, the system is capable of generating real-time dynamic, context-driven, hyper-personalized recommendations, based on the enterprise requirements.

Abstract: The present disclosure discloses system and method for generating hyper-personalized recommendations from the enterprise and its partner/(s) product offerings space for the users based on dynamic persona creation, influenced by a dynamic context capture and context-chaining mechanism triggered by the past and current activities of a user or the time of occurrence of an event. The User data may be processed to generate a user persona, which may further vary dynamically based on his current and historic subscription/consumption/association data. The context trigger enables the system to generate recommendations even before the need relevant to the context is realized by the user. Thus, the system is capable of generating real-time dynamic, context-driven, hyper-personalized recommendations, based on the enterprise requirements.