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COMPLEX EVENT PROCESSING FOR CONTEXT-BASED DIGITAL PRESENTATIONS

Abstract:

Systems and methods are disclosed herein for providing contextually relevant incentives in real-time to consumers. In one example, the method may include receiving, from a data repository, one or more raw data streams of real time data and determining an identity of the end user based on the one or more raw data streams. The method may further include filtering, using contextual filtering parameters, the received one or more raw data streams to produce filtered data. The method may also include applying a set of rules correlating the filtered data with incentive programs relevant to the filtered data to generate correlated data, and querying the data repository for historical data associated with the end user. The method may also include calculating a propensity score of the end user, and ranking the correlated data. The method may also include sending one or more incentives based on the correlated data ranking.