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Introduction:
In an era marked by rapid technological advancements, businesses are constantly seeking innovative ways to enhance their supply chain management. One such groundbreaking approach gaining prominence is demand sensing—a real-time forecasting method that empowers companies to respond swiftly to changing market dynamics. In this article, we’ll delve into the intricacies of demand sensing, exploring its applications, benefits, and real-world examples.
Big data analytics has become increasingly crucial for supply chain optimization in today’s fast-paced, globalized business landscape. By leveraging sophisticated analytics tools like those provided by SAS, supply chain professionals can gain actionable insights from massive datasets, driving better decision-making and improved operational efficiency. This article will explore the benefits of big data analytics for supply chain optimization, provide a relevant case study, and outline strategies for effectively using your data.
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