Data processing: financial – business practice – management – or co – Automated electrical financial or business practice or... – Operations research or analysis
Reexamination Certificate
2011-08-09
2011-08-09
Hayes, John W (Department: 3628)
Data processing: financial, business practice, management, or co
Automated electrical financial or business practice or...
Operations research or analysis
C705S007310
Reexamination Certificate
active
07996254
ABSTRACT:
An improved method for forecasting and modeling product demand for a product during promotional periods. The forecasting methodology employs a multivariable regression model to model the causal relationship between product demand and the attributes of past promotional activities. The model is utilized to calculate the promotional uplift from the coefficients of the regression equation. The methodology utilizes a mathematical formulation that transforms regression coefficients, a combination of additive and multiplicative coefficients, into a single promotional uplift coefficient that can be used directly in promotional demand forecasting calculations.
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Atwal Harminter
Bateni Arash
Kim Edward
Vorsanger Jean-Philippe
Hayes John W
Nelson Freda A
Stover James
Teradata , US Inc.
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