The Indian pharmaceutical sector faces significant cold chain vulnerabilities, including disruptions from weather, logistics breakdowns, and inadequate real-time visibility. This research proposes a patentable, AI-driven supply chain framework combining Artificial Intelligence (LSTM, Isolation Forest, XGBoost, and Random Forest), Blockchain (Hyperledger Fabric), and IoT-based cold chain monitoring. The system offers real-time failure predictions, blockchain-based automated response protocols via smart contracts, and regulatory alignment with CDSCO and WHO-GDP. Notable contributions include the Resilience Scoring Model (RSM) and the Cold Chain Mesh Network (CCMN), both designed for dynamic and self-healing supply chains. Simulated implementation with Cipla Ltd. demonstrates a substantial reduction in product loss and regulatory non-compliance. This integrated solution enhances transparency, resilience, and operational efficiency in India’s pharmaceutical logistics.
A Deep Tech Framework for Resilient Pharmaceutical Supply Chain in India Using AI, Blockchain, and IoT
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