Ncr Corporation

Ray A Gibson

Michael Cain Finley

Claudio Cifarelli

Luis A Diaz

Rakesh Patel

Various embodiments herein include an engine that uses data science, history, and trends to successfully determine and suggest the complimentary add on and upsell items that are tailored to at least some of the customer, current trends, product popularity, recommendations, and other such factors. One embodiment, in the form of a method, includes receiving, from a process involved in processing an open transaction, data representative of at least one of products and services that are subjects of the open transaction. The method further includes querying a recommendation engine for at least one of product and service recommendations based on the received data representative of products and services and receiving, in response to the query, at least one product or service recommendation. The method may then provide the at least one product recommendation to the process involved in processing the open transaction.

Method and system for similarity modeling and identification

Various systems, methods, and apparatuses are described for determining feedback to a polling statement. One example method may comprise generating a barcode associated with a response to a polling statement. The example method may further comprise enabling display of the barcode for receiving feedback on the polling statement via scanning of the barcode. Another example method may comprise generating a barcode associated with a response to a polling statement. The other example method may further comprise receiving feedback on the polling statement based at least in part on at least one individual scanning the barcode. Similar and related methods, apparatuses, systems, and computer program products are also provided.

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Lewisville, TX, United States of America

Ray A Gibson