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VOL. 8, ISSUE 2 (2024)
AI-enhanced decision-making for sustainable supply chains: Reducing carbon footprints in the USA
Authors
Abhishek Ravva
Abstract
In the rapidly modernizing world towards sustainability, organizations
increasingly need to reassess their supply chain strategies. This is
particularly true in the United States, where supply chains are very extensive
and consume a large number of resources. This research paper discusses how AI
can support decision-making for sustainable supply chains with a special focus
on carbon footprints. These AI technologies, including machine learning,
predictive analytics, and optimization algorithms, will enable companies to be
more efficient, reduce emissions, and display regulatory and consumer demands
for sustainability, among other aspects. The paper reviews challenges and
opportunities regarding the implementation of AI-driven solutions in terms of
promoting sustainable supply chain practices in the USA.
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Pages:4-7
How to cite this article:
Abhishek Ravva "AI-enhanced decision-making for sustainable supply chains: Reducing carbon footprints in the USA". International Journal of Advanced Engineering and Technology, Vol 8, Issue 2, 2024, Pages 4-7
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