ENHANCING SUPPLY CHAIN AGILITY WITH REAL-TIME DATA ANALYTICS
Keywords:
Enhancing Supply Chain Agility, Real-Time Data Analytics, Organizational Performance, Dynamic Market Conditions, Operational Efficiency, Risk Mitigation, Emerging Opportunities, Supply Chain Management PracticesAbstract
Enhancing supply chain agility is a critical objective for businesses aiming to navigate the complexities of modern markets. In this era of rapid technological advancement, real-time data analytics emerges as a pivotal tool for achieving this goal. This paper explores the significance of real-time data analytics in enhancing supply chain agility and its implications for organizational performance. By leveraging real-time insights, businesses can adapt swiftly to dynamic market conditions, optimize operational efficiency, mitigate risks, and capitalize on emerging opportunities. Drawing on recent literature and case studies, this paper elucidates the multifaceted benefits of incorporating real-time data analytics into supply chain management practices. Additionally, it discusses the challenges associated with implementing such systems and offers strategic recommendations for overcoming them. Overall, this paper underscores the transformative potential of real-time data analytics in fostering supply chain agility and competitiveness in today's fast-paced business environment.
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Copyright (c) 2024 Ananth Raja Muthukalyani (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
