Brian L Monteiro, 567113 Oakbury Ln, Mckinney, TX 75071

7072848, Jul 4, 2006

Nov 15, 2001

09/987706

Dean Weldon Boyd - Cottage Grove OR, US
Henry Frederick Schwarz - Foster City CA, US
Philip David Reginald Apps - San Francisco CA, US
Ravishankar Venkata Nandiwada - San Jose CA, US
Brian Lawrence Monteiro - Sunnyvale CA, US
Thomas Edward Guardino - Eugene OR, US

Manugistics, Inc. - Rockville MD

G06F 17/60

705 10, 705 14

A promotion pricing system produces an evaluation so as to analyze, evaluate, improve, and design promotions. The promotion pricing system generates promotion price evaluations and recommendations for each promotion related to a target product, along with analyzing competing products from the same seller and its competitors. The computerized promotion pricing system includes modules for carrying out necessary analytical steps, where the modules cooperate to implement a statistical market response estimation that provide statistically stable information on customer response to promotions using either an attractive or a multiplicative model, where the model is selected dynamically. The modules include a product segmentation module, an incentive translation module, a customer segmentation module, a data aggregation module, a model selection module, a calibration module, an evaluation module, a constraints generation module, a cost structure module, an optimization module, a market channel performance module, and an alert module.

7287000, Oct 23, 2007

Nov 26, 2003

10/721743

Dean Weldon Boyd - Cottage Grove OR, US
Henry Frederick Schwarz - Foster City CA, US
Philip David Reginald Apps - San Francisco CA, US
Ravishankar Venkata Nandiwada - San Jose CA, US
Brian Lawrence Monteiro - Sunnyvale CA, US
Thomas Edward Guardino - Eugene OR, US
Mark Cooke - El Granada CA, US

JDA Software Group, Inc. - Scottsdale AZ

G06Q 30/00

705 10, 705 14

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.

6963854, Nov 8, 2005

Mar 3, 2000

09/517983

Dean Boyd - Cottage Grove OR, US
Mike Gordon - San Mateo CA, US
Jorgen Andersson - Sunnyvale CA, US
Chia-Hung Charles Tai - Sunnyvale CA, US
Feng Yang - Sunnyvale CA, US
Anupama Kolamala - Mt. View CA, US
Greg Cook - Mt. View CA, US
Thomas Guardino - Eugene OR, US
Mudita Purang - Sunnyvale CA, US
Prabhakar Krishnamurthy - Pleasanton CA, US
Mark Cooke - El Granada CA, US
Ravi Nandiwada - San Jose CA, US
Brian Monteiro - Sunnyvale CA, US
Steve Haas - Menlo Park CA, US

Manugistics, Inc. - Rockville MD

G09F017/60

705 37, 705 1, 705 35, 705400

A business process and computer system known as the “Target Pricing System” (TPS) that generates an optimum bid or value for a competitively bid good or service. The system is resident on one or more host processors in connection with one or more data stores, and includes a product model that defines list values for the bid using stored price data and costs the values using stored cost data, a competitor net price model that calculates an equivalent competitor net price for the value, and.