Journals / Textile and Apparel / 2015 / Volume: 25 Issue: 2

RETAIL DEMAND FORECASTING IN CLOTHING INDUSTRY

KONFEKSİYON ENDÜSTRİSİNDE PERAKENDE TALEP TAHMİNLEMESİ

Özlem İpek Kalaoglu(Istanbul Technical University, Textile Technologies and Design Faculty)
Elif Sada Akyuz(Istanbul Technical University, Textile Technologies and Design Faculty)
Sebahat Ecemiş(Istanbul Technical University, Textile Technologies and Design Faculty)
Selin Hanife Eryuruk(Istanbul Technical University, Textile Technologies and Design Faculty)
Halefşan Sümen(Istanbul Technical University, Faculty of Management)
Fatma Kalaoglu(Istanbul Technical University, Textile Technologies and Design Faculty)
Pages
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Publication Date
2015-12-01
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

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

📌 3 Key Takeaways

🎯
Objective & Hypothesis: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.
📊
Key Findings & Data: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.
💡
Conclusion & Impact: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
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Demand forecasting · clothing industry · retail industry

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

Özet

Tahmin gelecekteki çıktıları belirleme bilimidir ve iş hayatında bir işin, ürünün ya da sektörün geleceğe dönük hedeflerini belirlemede kullanılır. İş hayatında, yeni ürün veya ürün hatları geliştirmeden önce uygun bir tahmin yapmak pazarda başarısız bir ürün geliştirmeyi, zaman ve para harcamayı önlemede son derece önemlidir. Bu çalışmada Türkiye’de tanınmış bir perakende markasının geçmiş satış verileri baz alınarak üç farklı nicel tahminleme yöntemi ile, basit hareketli ortalama modeli, ağırlıklı hareketli ortalama modeli ve doğrusal eğilim modeli, kullanılarak satış tahminlemesi yapılmıştır

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Cite This Article

Kalaoglu, Ö. İ., Akyuz, E. S., Ecemiş, S., Eryuruk, S. H., Sümen, H., Kalaoglu, F. (2015). RETAIL DEMAND FORECASTING IN CLOTHING INDUSTRY. Textile and Apparel, Volume: 25 Issue: 2. https://ajindex.com/articles/1640354

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