AI-POWERED SUPPLY CHAIN OPTIMIZATION IN MODERN RETAIL: A TECHNICAL DEEP DIVE
Keywords:
Artificial Intelligence In Retail, Supply Chain Optimization, Machine Learning, Edge Computing Integration, Predictive AnalyticsAbstract
This comprehensive technical article explores the transformative impact of artificial intelligence and machine learning technologies in retail supply chain optimization. The article examines architectural frameworks, implementation strategies, and real-world case studies demonstrating how AI-driven solutions revolutionize retail operations. The article covers key aspects, including data integration, demand forecasting, inventory management, and logistics optimization, while addressing technical challenges and future directions. Through a detailed examination of implementation strategies and case studies from major retail and e-commerce organizations, the article highlights how AI integration has significantly improved operational efficiency, reduced costs, and enhanced customer satisfaction across the retail supply chain ecosystem
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