AI-DRIVEN SUPPLY CHAIN: BUILDING RESILIENT AND ADAPTIVE NETWORKS FOR INDUSTRY WITH SPECIAL REFERENCE TO COIMBATORE DISTRICT

This study investigates the role of AI-driven supply chains in enhancing resilience and adaptability among industries in the Coimbatore district. A sample of 65 manufacturing units, including textile, automotive, and engineering firms, was surveyed to analyze the adoption and impact of AI technologies. Findings reveal that 81% of the firms using AI-enabled forecasting tools reduced inventory holding costs by an average of 18%. Additionally, 74% reported a 28% improvement in supply chain visibility and responsiveness.

Firms employing AI-powered risk management systems achieved a 35% faster response to disruptions. Machine learning applications improved demand prediction accuracy by 42% compared to conventional models. The study highlights that AI integration significantly strengthens operational continuity and flexibility in the face of uncertainties. These results emphasize the strategic importance of AI adoption for industrial competitiveness in Coimbatore, making a strong case for widespread implementation of intelligent systems to build adaptive and robust supply networks.