Techniques for real-time customer preference learning
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United States of America Patent
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Sep 9, 2014
Grant Date -
Jun 20, 2013
app pub date -
Dec 20, 2011
filing date -
Dec 20, 2011
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Abstract
Techniques for real-time offer customer preference learning are presented. Local agents on communication channels are equipped with predefined rules that capture actions and behaviors of customers interacting with an enterprise. The metrics associated with these actions and behaviors are plugged into the rules and in some cases combined with known pre-existing preferences for the customers for purposes of evaluating the rules and creating newly learned preferences for the customers. The newly learned preferences are dynamically fed into offer evaluation processing to determine whether to make offers to the customers.
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