
Demand Forecasting in the Fashion Industry: A Review
Author(s) -
Maria Eleenni,
Luca Giustiniano,
Luca Pirolo
Publication year - 2013
Publication title -
international journal of engineering business management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.352
H-Index - 22
ISSN - 1847-9790
DOI - 10.5772/56840
Subject(s) - demand forecasting , demand management , supply and demand , sales forecasting , operations research , technology forecasting , industrial organization , business , economics , computer science , marketing , engineering , artificial intelligence , microeconomics , macroeconomics
Forecasting demand is a crucial issue for driving efficient operations management plans. This is especially the case in the fashion industry, where demand uncertainty, lack of historical data and seasonal trends usually coexist. Many approaches to this issue have been proposed in the literature over the past few decades. In this paper, forecasting methods are compared with the aim of linking approaches to the market features