Supply Chain Management in Apparel Industry

Author(s)	Omkar Singh, Navanendra Singh, Abhilasha Singh, Vinoth R
Country	India
Abstract	Worries about insufficient data have given way to worries about an excess of data in the realm of supply chain management (SCM) in today's intricate and constantly evolving world. The substantial increase in data generated throughout the apparel supply chain has transformed the landscape of SCM analysis. The effectiveness and efficiency of earlier processes have dwindled with the surge in data volume. Due to the constraints of current methodologies in handling and deciphering extensive datasets, researchers have devised novel approaches capable of analyzing and interpreting vast amounts of data. Consequently, the main objective of this study is to explore the applications of machine learning (ML) within the Apparel Supply Chain, recognized as one of the prominent artificial intelligences (AI) methodologies.
Keywords	Supply Chain, Artificial Intelligence, Machine Learning, Apparel Industry
Field	Computer Applications
Published In	Volume 6, Issue 2, March-April 2024
Published On	2024-03-09
Cite This	Supply Chain Management in Apparel Industry - Omkar Singh, Navanendra Singh, Abhilasha Singh, Vinoth R - IJFMR Volume 6, Issue 2, March-April 2024. DOI 10.36948/ijfmr.2024.v06i02.14755
DOI	https://doi.org/10.36948/ijfmr.2024.v06i02.14755
Short DOI	https://doi.org/gtmbff

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