Enhancing Resilience in Sustainable Supply Chains through AI-Driven Predictive Analytics and Blockchain-Enabled Traceability

This paper explores the synergistic integration of AI-driven predictive analytics and blockchain-enabled traceability to enhance resilience in sustainable supply chains. Traditional supply chains often struggle with transparency, efficiency, and adaptability in the face of disruptions, exacerbated by increasing demands for sustainability. By leveraging AI, organizations can forecast potential disruptions, optimize inventory, and identify vulnerabilities with greater accuracy. Concurrently, blockchain technology offers an immutable and transparent ledger for tracking products, ensuring authenticity, ethical sourcing, and compliance with sustainability standards. This paper proposes a conceptual framework demonstrating how these technologies can collectively mitigate risks, improve decision-making, and foster a more robust and sustainable global supply network.

کلیدواژه ها:

Artificial Intelligence ، Blockchain ، Supply Chain Resilience ، Sustainable Supply Chain ، Predictive Analytics ، Traceability