The Role of AI in Developing Resilient Supply Chains

The global supply system has grown more intricate and susceptible to interruptions from pandemics, natural catastrophes, and geopolitical unrest. Organizations are using artificial intelligence (AI) to reduce these risks and improve resilience. Businesses may create more resilient and flexible supply chains by utilizing AI-powered technology to automate procedures, make data-driven choices, and obtain insightful information. AI's Principal Contributions to Supply Chain Resilience: 1. Predictive analytics Demand Forecasting: To precisely forecast future demand patterns, AI systems may examine past data as well as outside variables. This makes it possible for companies to optimize resource allocation, manufacturing schedules, and inventory levels. Risk assessment: AI-driven technologies are able to recognize possible hazards including natural disasters, geopolitical unrest, and supply interruptions. Businesses can create backup plans and lessen possible effects by proactively evalua...