Retail demand forecasting in clothing industry

Kalaoglu Ö. İ., Akyuz E. S., Ecemiş S., Eryürük S. H., Sümen H., Kalaoğlu F.

Tekstil ve Konfeksiyon, vol.25, no.2, pp.172-178, 2015 (SCI-Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 25 Issue: 2
  • Publication Date: 2015
  • Journal Name: Tekstil ve Konfeksiyon
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, TR DİZİN (ULAKBİM)
  • Page Numbers: pp.172-178
  • Keywords: Clothing industry, Demand forecasting, Retail industry
  • Istanbul Technical University Affiliated: Yes


Forecasting is the science of predicting future outcomes and, it is used to determine the future targets of a business, product, or industry in business life. It is extremely important for a business to do proper forecasting before developing new products or product lines and prevents spending a lot of time and money for developing a product that fails in the marketplace. In this study, three different quantitative forecasting models, simple moving average model, weighted moving average model and linear trend model are applied by using the past sales data of a well-known retailing brand in Turkey for forecasting sales.