Studies the problem of forecasting demand on the article level in a competitive consumer goods market. First the conventional approach to forecasting is discussed. A number of weak points of the demand forecasting unit approach are identified. Next, a new approach to forecasting based on applying scaling models, is presented. The method is then tried out and evaluated in the context of a real life business case. Shows that the advantage of the assortment forecasting process is its simplicity and strong means for feedback. Combined with a strong focus on consumer values, the method has potential to produce reliable forecast based on promotion and assortment change inputs.
Holmström, J. (1998), "Handling product range complexity A case study on re‐engineering demand forecasting", Business Process Management Journal, Vol. 4 No. 3, pp. 241-258. https://doi.org/10.1108/14637159810231027Download as .RIS
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