Optimizing Supply Chain Analytics with SAS: Predicting Disruptions and Improving Efficiency
Supply chain management has become more complex due to global disruptions, increased customer demands, and evolving market conditions. Businesses need robust analytics solutions to optimize their supply chain operations, predict disruptions, and improve efficiency. SAS provides powerful data analytics tools that enable organizations to gain deeper insights into their supply chains, reduce risks, and enhance productivity. Challenges in Supply Chain Management Modern supply chains face numerous challenges, including: Demand Fluctuations – Unexpected spikes or drops in demand can impact inventory management. Logistics Disruptions – Supply chain disruptions due to geopolitical issues, natural disasters, or supplier failures. Cost Pressures – Rising fuel and labor costs require businesses to optimize supply chain expenditures. How SAS Helps Optimize Supply Chain Analytics SAS provides advanced analytics tools to address supply chain challenges effectively. Key solutions include: De...