Article
Version 1
Preserved in Portico This version is not peer-reviewed
Possibilities of Sale Forecasting of Textile Products with a Short Life Cycle
Version 1
: Received: 11 September 2023 / Approved: 12 September 2023 / Online: 13 September 2023 (08:56:58 CEST)
A peer-reviewed article of this Preprint also exists.
Kačmáry, P.; Lörinc, N. Possibilities of Sale Forecasting Textile Products with a Short Life Cycle. Sustainability 2023, 15, 15517. Kačmáry, P.; Lörinc, N. Possibilities of Sale Forecasting Textile Products with a Short Life Cycle. Sustainability 2023, 15, 15517.
Abstract
Almost 115 million tons of fibers of which almost 90 million tons of chemical fibers were produced in the world in 2021, which are mainly used for the production of clothing and footwear. 30% of textile and apparel products are never sold, which means an extreme waste production. This article points out the possibilities of forecasting the sales of clothing in the case of one relatively large online store. Inadequate stocks of textile products in the company lead to loss and the need to sell products at a discount, which is undesirable for the company. The study in this article points to the calculation of the sales forecast for 2019 for the selected textile products, finding the analogy of the followed product sale. Sales for the years 2017 and 2018 serve as input data. The problem with textile products is that they have a short life cycle, i.e. the length of the life cycle is approximately half a year, and a high seasonality is also presented there. Therefore, the seasonal indices and Holt-Winters methods (multiplication and additional approaches) were used for products forecasting. Ultimately, this model could contribute to reducing the loss of unsold goods and thus reduce the waste of resources and increase the use of goods in other similar companies.
Keywords
textile; apparel; clothe; forecasting
Subject
Business, Economics and Management, Business and Management
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Comments (0)
We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.
Leave a public commentSend a private comment to the author(s)
* All users must log in before leaving a comment