Sales Forecasting in Apparel and Fashion Industry: A Review

Sébastien Thomassey ()
Additional contact information
Sébastien Thomassey: University Lille Nord of France

Chapter Chapter 2 in Intelligent Fashion Forecasting Systems: Models and Applications, 2014, pp 9-27 from Springer

Abstract: Abstract The fashion industry is a very fascinating sector for the sales forecasting. Indeed, the long time-to-market which contrasts with the short life cycle of products, makes the forecasting process very challenging. A suitable forecasting system should also deal with the specificities of the demand: fashion trends, seasonality, influence of many exogenous factors, …. We propose here a review of the different constraints related to the sales forecasting in the fashion industry, the methodologies and techniques existing in the literature to cope with these constraints and finally, the new topics which could be explored in the field of the sales forecasting for fashion products.

Keywords: Supply Chain; Forecast Error; Extreme Learning Machine; Supply Chain Management; Fuzzy Inference System (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations: View citations in EconPapers (8)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-39869-8_2

Ordering information: This item can be ordered from
http://www.springer.com/9783642398698

DOI: 10.1007/978-3-642-39869-8_2

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().