This paper is based on machine learning, natural language processing, computer vision, and predictive analytics that can promote agility and resilience in retail supply chains.Thematic analysis has been done on two central themes of operational intelligence, with AI automation and flexibility with predictive analytics.The research findings affirm that AI technologies make decision-making in a stronger way, minimize delays, and improve resource utilization.The gaps in the previous literature are met, and the real-time intelligent transformation of the supply chain becomes possible with the new retail-specific framework developed through the research using secondary sources.
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