METHOD AND SYSTEM FOR DETERMINING LONG RANGE DEMAND FORECASTS FOR PRODUCTS INCLUDING SEASONAL PATTERNS

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United States of America Patent

APP PUB NO 20140122179A1
SERIAL NO

14068292

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Abstract

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An improved method and system for forecasting product demand using a causal methodology, based on multiple regression techniques. The improved causal method identifies year-over-year trending effects within historical product demand data, removes the trending effects from the calculation of seasonal factors used in determining product demand forecasts, calculates trend factors from the identified trending effects, and applies the trend factors and de-trended seasonal factors to initial product demand forecasts when determining final demand forecasts for the products.

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Patent Owner(s)

Patent OwnerAddress
TERADATA CORPORATION12945 JEFFERSON BOULEVARD A DE CORP LOS ANGELES CA 90066

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Bateni, Arash Toronto, CA 25 332
Chan, Tsz Yu Boston, US 3 13

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