How AI in SCM control supply chain disruptions?
Nowadays, the logistics and supply chain industry is taking the opportunity to adopt artificial intelligence at a very large scale. The core objective of leveraging AI in SCM is to boost productivity and increase efficiency. With diverse capabilities and huge potential, AI is rapidly revolutionizing traditional supply chain approaches to make the industry more sustainable, and future-ready. In this blog, we will discuss how artificial intelligence controls supply chain disruptions. Let’s get started. AI-enabled use cases for supply chain management AI and Analytics-based systems help supply chain businesses with automated and reliable data visual platforms. Let’s have a look at the top 5 AI use cases that efficiently manage supply chain disruptions. 1. Demand forecasting in warehouse management Demand forecasting refers to data-rich modeling that helps optimize inventory levels, improve customer satisfaction, and manage warehouse operations efficiently. AI-based forecasts also a...