SYSTEMS AND METHODS FOR RECOMMENDING PERSONALIZED REWARDS BASED ON CUSTOMER PROFILES AND CUSTOMER PREFERENCES

摘要

A system for recommending personalized rewards based on customer profiles and customer preferences includes one or more processors configured to access customer parameters associated with the first customer and customer parameters associated with a plurality of second customers from a database. The values of customer parameters of the first customer are compared with the values of the customer parameters of the plurality of second customers to identify of the plurality of second customers having customer parameter values that correspond to the customer parameter values associated with the first customer. A list of reward purchase categories is determined based on analyzing customer profiles associated with the identified plurality of second customers. Personalized rewards associated with the selected one or more reward categories are transmitted to the user device associated with the first customer, the personalized rewards to accrue based on consumer purchase transactions by the first customer.