How can a Home Depot use (seasonal, Delphi, technological, and time series) these methods to forecast demand under conditions of uncertainty? Can I get a graph of the method that is most profitable for Home Depot?
Seasonal: In this the demand is forecasted by seeing seasonal pattern through past years and on basis of it future demand. Say if in month of April 2006 one wants to predict the demand of a particular product category. Than he will chart a graph of past few years (x- axis year, y-axis demand) and see what happened in past years in April and predict for this year April as pattern of graph).
Delphi: In this opinion of experts is taken and consensus is evolved. The method is opinion is taken separately from ...