Challenges and Strategies for Sales Prediction in Apparel Industry

International Journal of Computer Science and Engineering

© 2019 by SSRG - IJCSE Journal

Volume 6 Issue 8

Year of Publication : 2019

Authors : Ayesha Saleem, Somia Ali, Iraj Anjum, Fatima Anwar

10.14445/23488387/IJCSE-V6I8P102

How to Cite?

Ayesha Saleem, Somia Ali, Iraj Anjum, Fatima Anwar, "Challenges and Strategies for Sales Prediction in Apparel Industry," SSRG International Journal of Computer Science and Engineering , vol. 6,  no. 8, pp. 7-11, 2019. Crossref, https://doi.org/10.14445/23488387/IJCSE-V6I8P102

Abstract:

The apparel industry facing many challenges while predicting future sales of clothing items. This paper conducts a comprehensive review of all challenges and problems faces by textile industry. Some least considered factors in literature mentioned thoroughly to get intention of researchers toward them. Then discuss some proposed algorithms to face these challenges of sales prediction in apparel industry. Some future requirements and area of demanding researches also describe by concluding literature review.

Keywords:

Textile Industry, Artificial Intelligence, Sales Forecasting, Literature Review.

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