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Introduction
Advanced AI technologies are transforming supply chain management by enhancing efficiency,
optimizing processes and enabling data-driven decision-making.
Despite its potential, AI integration faces challenges such as data privacy concerns, system complexity, high implementation costs, and the need for skilled professionals.
AI offers significant opportunities, including demand forecasting, inventory optimization, real-time tracking, and risk management, driving competitive advantage in dynamic markets.
This study examines how AI can optimize supply chain processes while addressing these challenges, highlighting best practices and strategies for successful AI adoption.
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