Predicting the Break With AI for Mitigating and Managing Risks of Supply Chain Disruption in Bangladesh

The chapter utilizes twenty published interviews, industry reports, and expert documents from secondary data collection to identify a conceptual model for using artificial intelligence (AI) supply chain disruption prediction and risk management in Bangladesh. The paper examines how AI-enabled predictive analytics, machine learning, and real-time monitoring can improve operational resilience in volatile emerging economies with infrastructural constraints and scarcity of natural, human, infrastructural, and financial resources. The evaluation explains AI adoption procedures, for example, how AI-driven models can improve supply chain performance by detecting disturbances early, making data-driven decisions, and directing remedial solutions. The study adds to the body of knowledge on AI's expanding application for supply chain resilience in emerging economies and recommends further research on sustainable technology adoption and inclusive innovation.