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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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Authors
Manish Kashiv,Yash Kashiv,Saravanan Gnanapandithamani
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Unleashing AI's Potential in Supply Chains
Abstract
The thesis aimed to elucidate the role of artificial intelligence in the contemporary world, particularly within the realm of supply chain management. The theoretical framework of the thesis delineated the evolutionary journey of artificial intelligence, outlining its three primary types: supervised learning, unsupervised learning, and reinforcement learning. Each type was expounded upon within the theoretical segment of the thesis.
Of notable significance within the field is deep learning, which has emerged as a pivotal force in revolutionizing supply chain management practices. This research delved into the intricacies of supply chain management, providing insights into key components such as inventory management, warehouse management, and logistics. Through comprehensive analysis, the study underscored the manifold benefits that artificial intelligence offers to supply chain management, highlighting its transformative impact on the global landscape.
The integration of artificial intelligence into supply chain management was examined in depth, with practical examples drawn from industry giants like Amazon and Amer Sports. Amazon's adoption of AI techniques for online retailing and warehouse automation exemplifies the sophistication of smart warehouses in streamlining daily operations and enhancing customer satisfaction. Similarly, Amer Sports has effectively utilized machine learning to elevate supply chain management and forecasting accuracy.
A qualitative research methodology, specifically Document Analysis, was employed in this study. The researcher meticulously evaluated twenty electronic documents and publications pertaining to the application of artificial intelligence in supply chain management.
The findings of this thesis underscore the significant benefits reaped by organizations through the implementation of various AI applications. It elucidates how artificial intelligence augments and automates processes, leading to enhanced efficiency and reduced reliance on human intervention. Ultimately, the research concludes that leveraging artificial intelligence can significantly elevate a company's speed, precision, and overall profitability.
IJCRT's Publication Details
Unique Identification Number - IJCRT21X0215
Paper ID - 259305
Author type - Indian Author
Page Number(s) - m83-m119
Pubished in - Volume 12 | Issue 5 | May 2024
DOI (Digital Object Identifier) -
No Of Downloads - 57
Author Country - India, -, -, -, -, Science and Technology
Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
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Manish Kashiv,Yash Kashiv,Saravanan Gnanapandithamani, "Unleashing AI's Potential in Supply Chains", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 5, pp.m83-m119, May 2024, Available at :http://www.ijcrt.org/papers/IJCRT21X0215.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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