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I'm curious about AI in demand forecasting - any insights?
The general conversation around AI is growing, and I've been particularly intrigued by its application in business. Specifically, I've heard a lot about AI in demand forecasting and its potential to revolutionize how companies manage their inventory and production. My company often struggles with accurate predictions, leading to either stockouts or overstock. Does anyone have direct experience or insights into how AI-driven demand forecasting actually works in practice, and what kind of benefits or challenges it presents for supply chain management?
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Absolutely, AI-driven demand forecasting is one of the most significant shifts happening in supply chain management right now. It moves beyond traditional statistical methods by processing vast amounts of data—including external factors like weather and social media trends—to make much more accurate predictions. This greater accuracy in demand forecasting directly contributes to improved logistics and better inventory management, reducing waste and increasing efficiency. I recently read a great overview of this and other supply chain trends, which you can find at https://www.trinetix.com/insights/logistics-and-supply-chain-trends. It highlights how integrating advanced data technologies, like predictive analytics, is crucial for businesses aiming for more predictable and resilient supply chains.