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@article{185608,
        author = {Dr. Gudipati Srinivasa Rao and Doddi Sampath Kumar and Dokala Yaswanth Kumar},
        title = {The Impact of Artificial Intelligence on Supply Chain Optimization: A Data-Driven Approach},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {5},
        pages = {2136-2141},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=185608},
        abstract = {In recent years, artificial intelligence (AI) has emerged as a transformative enabler in supply chain management (SCM). This paper explores how AI-driven, data-centric approaches optimize various supply chain functions demand forecasting, inventory management, logistics and routing, supplier selection, and risk mitigation. We develop a conceptual framework connecting AI techniques with supply chain performance dimensions. Through a review of recent literature and illustrative case insights, we analyze the benefits, challenges, and future directions of AI deployment in SCM. We conclude with managerial implications and research agenda proposals for advancing AI-enabled supply chains in dynamic, complex environments.},
        keywords = {Artificial Intelligence Supply Chain Optimization Data-Driven Approaches Demand Forecasting Logistics Risk Management},
        month = {October},
        }