Current Volume 8
Abstract
This paper explores how business analytics can improve supply chain efficiency in the United States. Supply Chain Analytics analyzes historical and real-time data to uncover patterns, generate insights, and make data-driven decisions. Businesses can optimize inventory, plan capacity, deploy logistics solutions, and implement sound sales and operations planning processes by leveraging descriptive, predictive, prescriptive, and diagnostic analytics. Empirical evidence demonstrates the positive impact of business analytics on supply chain performance and organizational success. Future trends include integrating diverse data sources, adopting disruptive technologies, and focusing on building resilient supply chains. Implementing business analytics in supply chain management offers numerous benefits, such as improved decision-making, cost reduction, enhanced customer value, and increased productivity. Overall, business analytics is critical for optimizing supply chain operations and gaining a competitive advantage in the US.
Citations
IRE Journals:
Christopher Odedina
"How Business Analytics Can Help Improve Supply Chain Efficiency in the US" Iconic Research And Engineering Journals Volume 7 Issue 9 2024 Page 446-452
IEEE:
Christopher Odedina
"How Business Analytics Can Help Improve Supply Chain Efficiency in the US" Iconic Research And Engineering Journals, 7(9)
About IRE Journals
IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
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