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US Patent 7287000 Configurable pricing optimization system

Patent 7287000 was granted and assigned to JDA SOFTWARE GROUP, INC. on October, 2007 by the United States Patent and Trademark Office.

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Patent
Patent
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Patent attributes

Current Assignee
JDA SOFTWARE GROUP, INC.
JDA SOFTWARE GROUP, INC.
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
72870000
Patent Inventor Names
Brian Lawrence Monteiro0
Dean Weldon Boyd0
Henry Frederick Schwarz0
Mark Cooke0
Philip David Reginald Apps0
Prashandt Narayan Balepur0
Ravishankar Venkata Nandiwada0
Thomas Edward Guardino0
Date of Patent
October 23, 2007
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Patent Application Number
107217430
Date Filed
November 26, 2003
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Patent Citations Received
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US Patent 11868591 Dynamic user interface customization
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US Patent 11875371 Price optimization system
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US Patent 11983145 Method and system of modifying information on file
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US Patent 12079829 Online behavioral predictor
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US Patent 12020217 Systems and methods for using machine learning for vehicle damage detection and repair cost estimation
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US Patent 11669874 System and method for analysis and presentation of used vehicle pricing data
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US Patent 11687981 Methods and systems for presenting specialized content using campaign metrics
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Patent Primary Examiner
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Nicholas D. Rosen
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Patent abstract

The present invention provides a configurable pricing system that allows users to define or modify data used to analyze, evaluate, improve, and design pricing changes according to the user's need. A Graphical user interface or some other type of user interface allows the user to access and review various data to be used during pricing optimization. The user may then modify this data as needed to improve the pricing evaluation, such as defining sales or pricing trends, or relationships between the product of interest and other competing items. The user interface may further display changes in pricing and the effects of the pricing changes, as caused by the user's changes. The interface may also allow the user to modify the mathematical model to be used during price optimization, as well as define variables, constraints, and boundaries to be considered during the price optimization.

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