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DATA-DRIVEN INVENTORY AND REVENUE OPTIMIZATION FOR UNCERTAIN DEMAND DRIVEN BY MULTIPLE FACTORS

United States Patent Application

20140365276
A1
View the Complete Application at the US Patent & Trademark Office
Based on a time series history of a random variable representing demand for at least one of a good and a service as a function of at least one controllable demand driver, obtain a quantile regression function that estimates a quantile of a demand distribution function; obtain a mixed- and/or super-quantile regression function that estimates conditional value at risk; and obtain a regression function that estimates mean of the demand distribution function. Joint optimization of: inventory of the at least one of a good and a service, and the at least one controllable demand driver, is undertaken based on the quantile regression function and the mixed- and/or super-quantile regression function, to obtain an optimal value for the at least one controllable demand driver and an implied optimal value for a stocking level. One or more exogenous demand drivers can optionally be taken into account.
Harsha, Pavithra (Yorktown Heights, NY), Natarajan, Ramesh (Pleasantville, NY), Subramanian, Dharmashankar (White Plains, NY)
International Business Machines Corporation (Armonk NY)
14/ 033,497
September 22, 2013
STATEMENT OF GOVERNMENT RIGHTS [0002] This invention was made with Government support under Contract No.: DE-OE0000190 awarded by the Department of Energy. The Government has certain rights in this invention.