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Abstract

A method for generating a predictor of customer behavior for a contact center includes: collecting, by a processor, data from a plurality of different applications of the contact center, the data being stored in a plurality of different formats, the data corresponding to a plurality of recorded interactions between a plurality of customers and the contact center; converting, by the processor, the data from the plurality of different formats into a common format; generating, by the processor, a plurality of customer models for the customers by, for each customer of the customers: identifying, from the data from the plurality of different applications, identified data associated with the customer; and aggregating the identified data in an individual customer model of the plurality of customer models, the individual customer model being associated with the customer; and generating, by the processor, a predictor in accordance with the customer models.

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First Claim