Ncr Corporation

Vincent Robert Koser

Norman Perkins Blake

Robert Eugene Dusek

George Mark McGregor

Lew Peter Nycz

G Mark McGregor

Laurie Ann Rodriguez

Jeffrey Scott Jopling

Kent A Wert

Christopher Lee Collier

Adam John Rausch

A system and method for execution of customer-specific marketing, discounts, and promotions which alerts the customer that the customer is to receive the promotion. In one form, the system includes a point-of-sale computer at a checkout counter for processing purchase of items, a customer interface device at the checkout counter which alerts a customer to the existence of a promotion and for transferring details of the promotion to the point-of-sale computer, wherein the details of the promotion appear as bar code data to the point-of-sale computer, and a local promotional server wirelessly connected to the customer interface device for sending the details of the promotion to the customer interface display.

System and method for execution of customer-specific marketing, discounts, and promotions

Techniques for channel-independent offer management are provided. An offer management server can be deployed in a variety of architectural arrangements within an enterprise. The offer management server provides cross-platform and channel-independent evaluation of offers and offer management for the enterprise.

Techniques for channel-independent offer management

Techniques for customized deployment of offers are provided. Customized offers are packaged into a description, a presentation, and offer evaluation execution logic and deployed to an enterprise system. Portions of the package's execution logic have access to some resources of the enterprise system. Once the customized offers are deployed, they can be pushed or pulled to point-of-sale devices for redemption processing during transactions with consumers.

Techniques for customized deployment of offers

Techniques for real-time offer evaluations are presented. An enterprise system detects and interaction with a customer. Metrics for the interaction are acquired and a centralized preference server delivers real time preference values known for the customer. The metrics and the preference values are used to dynamically and in real-time evaluate conditions for an enterprise offer and when met the offer is delivered to the customer in real time.

Techniques for real-time offer evaluations

Techniques for controlling redemption of offers are provided. A checkout process is detected having multiple offers associated with an item or items being purchased. Each offer is evaluated based on custom rules and some, all, or portions of the offers are selectively applied to a retail price for the item to arrive at a final price for the item during the checkout process.

Techniques for controlling redemption of offers

Techniques for universal promotion conditions for offer evaluations are provided. Promotions are comprised of promotion conditions. The conditions are defined as a key value, description, and data type. Defined operators for the data types are enumerated and the key values can be mixed and matched in custom defined conditional statements to expand promotional engines with universal promotion conditions.

Techniques for deployment of universal promotion conditions for offer evaluations

Systems and techniques for centralized user preference management for electronic decision making devices are provided. A user preference profile is received. A user preference profile manager may transmit a user preference from the user preference profile to a requesting user transaction terminal. the user preference manager may also receive a dynamic user preference from a user preference profile and extend the user preference profile with the dynamic user preference, where the dynamic user preference includes a preference definition and the preference definition includes read and write access controls for the dynamic user preference. Then the user manager may update the user preference profile based on data received from the user transaction terminal.

Centralized user preference management for electronic decision making devices

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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West Lafayette, IN, United States of America

Vincent Robert Koser