Predictive Modeling of US Winter Apparel Sales using Time Series Forecasting Method

Authors

  • Engy Shafik "North Carolina State University"

Abstract

Fashion and apparel sales have always been an interesting aspect of study due to the immense number of controllable and uncontrollable variables that contributes to the total sales. In order to develop a sound predictive model for forecasting apparel sales a lot of factors can be incorporated to enhance the results and minimize the forecast error. This paper will present a Time Series Forecasting model of US Apparel and accessories sales for the winter season. This model is generated to shed the light on the unexpected loss incurred by retailers for the winter season of 2015 by incorporating weather variation as an influencer on the sales. This paper is also going to discuss some important managerial approaches which empower firms to deal better with unforeseen variabilities.

Downloads

Published

2016-11-02

Issue

Vol. 10 No. 2 (2016)

Section

Graduate Research Articles

License

By submitting a manuscript, the authors agree that the copyright of all materials published in Journal of Textile and Apparel Technology and Management (JTATM) is transferred to the publisher if and when their manuscript is accepted for publication. Please note the following details as an understanding for submitting a manuscript to JTATM for publication.
Authors grant rights to JTATM to disseminate the paper and its contents as a file on the Internet when the paper is accepted. JTATM owns an exclusive right for the paper until it is either rejected or published. The authors cannot submit the same paper in part or in its entirety to another journal during the review.
Authors retain rights to be identified as the authors when the paper is published, and the patent right or rights relating to products or processes described in the paper. The authors retain rights to the educational and research uses of the paper, such as teaching and exchange of the published or pre-publication version of the paper with colleagues, for non-commercial purposes. The authors may obtain permission from the journal for a non-exclusive use of the contents in the paper, such as tables, figures and texts, with a proper acknowledgement to the journal.
Authors must warrant the originality of the paper in that the contents of the paper in part or in full have not been published or submitted elsewhere while the paper is under review.
Effective date for the above policies is December 1, 2010. The authors of the papers published before this date will be contacted via email for copyright transfer agreements.