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:
Aug. 15, 2006

Filed:

May. 04, 2001
Applicants:

Phil Delurgio, Walnut Creek, CA (US);

Hua Lee, Los Altos, CA (US);

Michael Neal, San Francisco, CA (US);

Suzanne Valentine, Atlanta, GA (US);

Krishna Venkatraman, Menlo Park, CA (US);

Inventors:

Phil Delurgio, Walnut Creek, CA (US);

Hua Lee, Los Altos, CA (US);

Michael Neal, San Francisco, CA (US);

Suzanne Valentine, Atlanta, GA (US);

Krishna Venkatraman, Menlo Park, CA (US);

Assignee:

DemandTec, Inc., San Carlos, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/00 (2006.01);
U.S. Cl.
CPC ...
Abstract

A technique for determining optimum prices of products. The apparatus includes a scenario/results processor, a demand engine, an activity based cost engine, and a price optimization engine. The scenario/results processor enables a user to prescribe an optimization scenario, and presents the optimum prices to the user, where the optimum prices are determined by execution of the optimization scenario. The demand engine models relationships between potential prices of the products and market demand for the products. The activity based cost engine estimates costs for the products based upon market demand. The price optimization engine employs the market demand and the demand chain costs to determine the optimum prices, where the optimum prices are a subset of the potential prices, and where the optimum prices maximize a merchandising performance figure of merit according to the optimization scenario.


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