IJBTT

The Impact of Artificial Intelligence on the SupplyChain in the Era of Data Analytics
	© 2023 by IJCTT Journal
	Volume-71 Issue-1
	Year of Publication : 2023
	Authors : Anish Rege
	DOI :  10.14445/22312803/IJCTT-V71I1P105

How to Cite?

Anish Rege, "The Impact of Artificial Intelligence on the SupplyChain in the Era of Data Analytics," International Journal of Computer Trends and Technology, vol. 71, no. 1, pp. 28-39, 2023. Crossref, https://doi.org/10.14445/22312803/IJCTT-V71I1P105

Abstract
Artificial intelligence (AI) is meant to give quick information access and thoughtful decision-making in ever-expanding economic situations in today's more sophisticated digital environment. While significant data analytics for organisational rejuvenation is piquing scholarly curiosity in data analytics. in spite of the growing use of big data analytics for decision-making, surprisingly little is known regarding how information management capability results in better data insights for the cyclical cycle and supply chain sustainability. The researchers recognise that businesses commonly use artificial intelligence (AI) and big data analytics to forecast the direction of the supply chain 4.0 markets. In that regard, the following research collected a sample of 80 participants to make quantitative evidence using statistical approaches. The study uses descriptive, factor analysis, correlation and regression analysis to find out the objectives. The findings have revealed that artificial intelligence can positively impact inventory management, warehouse efficiency, enhanced safety and reduced operating costs. In conclusion, the study finds that artificial intelligence will significantly impact the supply chain in the era of data analytics. It is expected to generate new opportunities for companies across industries. Implementing AI can help improve efficiency and agility in supply chains by providing insights about potential disruptions earlier and helping to mitigate them. In addition, AI can help identify new opportunities and optimise processes across the entire supply chain network.

Keywords
Artificial Intelligence, Supply chain, Data analytics, Management, Big data.

Reference

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