Integrating AI and Machine Learning for Optimized Supply Chain and Procurement Systems

Authors

  • Satish Vadlaman Independent Researcher, Osmania University , Amberpet, Hyderabad-500007, Tel-angana State, India,
  • Phanindra Kumar Kankanampati Independent Researcher, Binghamton University, , Miyrapur, Hyderabad, In-dia 500049,
  • Om Goel Scholar, Abes Engineer-ing College Ghaziabad,
  • Prof.(Dr.) Arpit Jain Independent Researcher, Kl University, Vijaywada, Andhra Pradesh,
  • Dr. Shakeb Khan Research Supervisor , Maharaja Agrasen Hima-layan Garhwal University, Uttarakhand

Keywords:

AI integration, Machine Learning, supply chain optimization, procurement systems, predictive analytics

Abstract

The integration of Artificial Intelligence (AI) and Machine Learning (ML) in supply chain and procurement systems is revolutionizing how businesses manage and optimize operations. As global markets become increasingly complex and demand volatility rises, traditional approaches to supply chain management often fall short of delivering the efficiency and agility required for competitive advantage. AI and ML technologies offer advanced tools for predictive analytics, automation, and data-driven decision-making, enabling organizations to respond quickly to changing market conditions. These technologies empower supply chain and procurement systems to enhance forecasting accuracy, improve inventory management, and optimize procurement strategies, minimizing operational costs and maximizing service levels.

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Published

2022-10-30

How to Cite

Satish Vadlaman, Phanindra Kumar Kankanampati, Om Goel, Prof.(Dr.) Arpit Jain, & Dr. Shakeb Khan. (2022). Integrating AI and Machine Learning for Optimized Supply Chain and Procurement Systems. Universal Research Reports, 9(4), 540–560. Retrieved from https://urr.shodhsagar.com/index.php/j/article/view/1391

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Vol. 9 No. 4 (2022): Volume 9 | Issue 4 | 2022

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Original Research Article

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