In this podcast , Sajna Samad talks on the Supply Chain Resilience and how AI helps to achieve this.
🔍 Supply Chain Resilience refers to the ability of a supply chain to quickly adapt, minimize risks, and continue delivering goods and services in the face of disruption.
AI-driven supply chain resilience leverages technologies like machine learning, predictive analytics, and optimization algorithms to enhance flexibility, predict disruptions, and improve operational efficiency.
📊 AI can help businesses:
- Anticipate Disruptions: Predictive analytics can spot trends and patterns, enabling companies to prepare before a major disruption hits.
- Optimize Inventory Management: AI can adjust inventory levels based on real-time data and demand forecasts, reducing waste and shortages.
- Streamline Logistics: Machine learning algorithms help identify the fastest and most cost-effective routes and methods for shipping goods.
- Improve Demand Forecasting: By analyzing historical data and external factors, AI can refine forecasts, allowing businesses to adjust strategies dynamically.
