Retail demand forecasting in clothing industry

Özlem Ipek Kalaoglu, Elif Sada Akyuz, Sebahat Ecemiş, Selin Hanife Eryuruk*, Halefşan Sümen, Fatma Kalaoglu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)172-178
Number of pages7
JournalTekstil ve Konfeksiyon
Volume25
Issue number2
Publication statusPublished - 1 Apr 2015

Keywords

  • Clothing industry
  • Demand forecasting
  • Retail industry

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