Clothing Sales Forecast Considering Weather Information: An Empirical Study in Brick-and-Mortar Stores by Machine-Learning

ISSN Print: 2379-1543
ISSN Online: 2379-1551
www.scirp.net/journal/jtst
E-mail: [email protected]

Citations

"Clothing Sales Forecast Considering Weather Information: An Empirical Study in Brick-and-Mortar Stores by Machine-Learning"
written by Jieni Lv, Shuguang Han, Jueliang Hu,
published by Journal of Textile Science and Technology, Vol.9 No.1, 2023

has been cited by the following article(s):

[1]	Classification and regression tree approach for the prediction of the seasonal apparel market: focused on weather factors
	Journal of Fashion Marketing and Management: An …, 2023

[1]	The rise and fall of K-Fashion business: exploring the impact of corporate failure news on stock market indices Fashion and Textiles, 2025 DOI:10.1186/s40691-025-00414-1

[2]	Forecasting Apparel Sales Using Time Series Models and Machine Learning Techniques for Cost-Effective Procurement International Journal of Innovative Science and Research Technology, 2025 DOI:10.38124/ijisrt/25jun757

[3]	Application of weather derivatives in the textile industry Tekstilna industrija, 2025 DOI:10.5937/tekstind2504077J

[4]	Classification and regression tree approach for the prediction of the seasonal apparel market: focused on weather factors Journal of Fashion Marketing and Management: An International Journal, 2023 DOI:10.1108/JFMM-12-2022-0266