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This article is part of a 3-part series exploring the key barriers preventing successful AI adoption in manufacturing and supply chains, based on recent research and industry insights. In  Part 1 , I examined organizational and cultural barriers. This second article focuses on the technical and data-related challenges that often prevent AI solutions from scaling effectively. Without high-quality, integrated, and accessible data and without the infrastructure to support real-t

Can social media predict product demand?  Many supply chain professionals still rely on traditional forecasting methods, but what if social media could give us real-time demand signals before sales even happen? In my recent research, we found that analyzing social media sentiment and engagement can improve demand forecasting accuracy by 42%, especially for new products with no historical data. Let’s break it down. Image generated by AI (DALL·E) The Challenge: Forecasting New