Techniques for real-time customer preference learning

A processor-implemented method programmed in a non-transitory processor-readable medium and configured to execute on one or more processors, the method comprising:

• receiving a request for preferences tied to a customer interacting with an enterprise;
• acquiring the preferences from an enterprise preference manager;
• delivering the preferences to a client loyalty preference agent interacting with the customer;
• and
• receiving updates to the preferences in real time from the client loyalty preference agent based on actions taken by the customer when interacting with the client loyalty preference agent.

A system, comprising:

• a first machine having a client loyalty preference agent implemented in a non-transitory computer-readable storage medium and which processes on the first machine;
• and
• a second machine having a preference learning agent implemented in a non-transitory computer-readable storage medium and which processes on the second machine;
• the client loyalty preference agent configured to interact with a customer that is interacting with an enterprise via the first machine to capture actions taken and selections made by the customer, the client loyalty preference agent also configured to apply the actions and selections to the evaluation of predefined rules to determine when new preferences for the customer are to be made and to determine when updates to existing preferences are to be made, the preference learning agent is configured to receive the new preferences and the updates to the existing preferences and make them available in real time across disparate communication channels of an enterprise dynamically.