The typical problems facing with apparel companies and supply chains are forecasting errors,because fashion markets are volatile and difficult to predict. For that reason, the abilityto develop accurate sales forecasts is critical in the industry. There are several researchstudies related to forecasting apparel goods, but very often only for one level. However,apparel companies and supply chains deal with a number of levels at which the forecastscould exist and require consistent forecasts at all of them. The paper presents a hierarchicalmiddle-term forecasting system designed for this purpose on the basis of a literature review.The system is built by the top-down forecasting approach and verified by means of a casestudy in a particular apparel company. The weaknesses of the system are identified duringdiscussion of the results acquired. A generalised concept of the ANN forecasting model isdesigned for elimination these weaknesses.
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