The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 29, 2014

Filed:

Sep. 30, 2003
Applicants:

Rocco L. Adornato, Omaha, NE (US);

David C. Mussman, Omaha, NE (US);

Inventors:

Rocco L. Adornato, Omaha, NE (US);

David C. Mussman, Omaha, NE (US);

Assignee:

Tuxis Technologies LLC, Jersey City, NJ (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/00 (2012.01);
U.S. Cl.
CPC ...
Abstract

Methods for providing an offer of an upsell item to users of a given self-service device, and systems and computer-readable media suitable for practicing the methods. The method can comprise enabling initiation of a given primary transaction between a given user and the given self-service device, with the given primary transaction involving a specific good and/or a specific service that is obtained using the given self-service device. The given user is identified, and the geographic location of the given user when initiating the given primary transaction is established. A second data element relating to the given user is obtained utilizing data representing the identity of the given user. The upsell item is determined utilizing, at least in part, the second data element and data representing the geographic position of the given user. The upsell item is then offered to the given user. Illustrative self-service devices can include devices that enable the user to obtain commodities such as gasoline, cash, snacks, drinks, paper items, or the like. Further aspects of the invention project the user's future position, arrival times, and anticipated needs based on primary transaction data and further data related to the user.


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