The Role of Artificial Intelligence in Enhancing Business Efficiency and Supply Chain Management

Artificial Intelligence (AI) is revolutionizing business operations and supply chain management by enhancing efficiency, reducing costs, and optimizing decision-making. This paper explores the transformative impact of AI in streamlining supply chain processes, improving demand forecasting, and enhancing inventory management. AI-driven automation, predictive analytics, and real-time data processing are enabling businesses to minimize inefficiencies, mitigate risks, and enhance overall productivity. The study highlights key AI technologies, including machine learning, natural language processing, and robotic process automation, which are reshaping logistics, procurement, and distribution networks. AI-powered solutions enable organizations to make data-driven decisions, enhance supplier collaboration, and improve customer satisfaction. Additionally, AI facilitates real-time monitoring of supply chains, providing actionable insights that help businesses proactively address disruptions and optimize resource allocation. Furthermore, this paper examines the role of AI in fostering sustainability by reducing waste, improving energy efficiency, and supporting ethical sourcing practices. While AI offers numerous benefits, its implementation also presents challenges such as data security concerns, high initial investment costs, and the need for skilled professionals. Addressing these challenges requires strategic integration, continuous innovation, and adherence to ethical guidelines. Through an extensive review of existing literature and case studies, this paper provides insights into the growing significance of AI in enhancing business efficiency and supply chain resilience. The findings emphasize the necessity for organizations to embrace AI-driven strategies to maintain a competitive edge in an increasingly dynamic and digitalized marketplace. Future research should focus on overcoming implementation barriers and exploring emerging AI applications that can further revolutionize supply chain management.

Authors

Publication Details

Journal
Journal of Information Systems Engineering & Management
Published
2025-02-13
DOI
https://doi.org/10.52783/jisem.v10i10s.1413
Citations
1
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
2.28
Controls
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article

The Role of Artificial Intelligence in Enhancing Business Efficiency and Supply Chain Management

Irshadullah Asim Mohammed
1 citations
Journal of Information Systems Engineering & Management
Big Data and Business Intelligence
2.28
article

The Role of Artificial Intelligence in Enhancing Business Efficiency and Supply Chain Management

Irshadullah Asim Mohammed
article en
1 citations

Abstract

Artificial Intelligence (AI) is revolutionizing business operations and supply chain management by enhancing efficiency, reducing costs, and optimizing decision-making. This paper explores the transformative impact of AI in streamlining supply chain processes, improving demand forecasting, and enhancing inventory management. AI-driven automation, predictive analytics, and real-time data processing are enabling businesses to minimize inefficiencies, mitigate risks, and enhance overall productivity. The study highlights key AI technologies, including machine learning, natural language processing, and robotic process automation, which are reshaping logistics, procurement, and distribution networks. AI-powered solutions enable organizations to make data-driven decisions, enhance supplier collaboration, and improve customer satisfaction. Additionally, AI facilitates real-time monitoring of supply chains, providing actionable insights that help businesses proactively address disruptions and optimize resource allocation. Furthermore, this paper examines the role of AI in fostering sustainability by reducing waste, improving energy efficiency, and supporting ethical sourcing practices. While AI offers numerous benefits, its implementation also presents challenges such as data security concerns, high initial investment costs, and the need for skilled professionals. Addressing these challenges requires strategic integration, continuous innovation, and adherence to ethical guidelines. Through an extensive review of existing literature and case studies, this paper provides insights into the growing significance of AI in enhancing business efficiency and supply chain resilience. The findings emphasize the necessity for organizations to embrace AI-driven strategies to maintain a competitive edge in an increasingly dynamic and digitalized marketplace. Future research should focus on overcoming implementation barriers and exploring emerging AI applications that can further revolutionize supply chain management.

Journal of Information Systems Engineering & ManagementVol. 10(10s)
Openalex Percentile: Top 15%
Big Data and Business Intelligence
2.28
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The Role of Artificial Intelligence in Enhancing Business Efficiency and Supply Chain Management — Irshadullah Asim Mohammed · Journal of Information Systems Engineering & Management (2025) | TGRS Research Map | TGRS