Meeting Demand: Advancing Your Retail Supply Chain

Retail supply chains have grown more and more complex, and companies must have end-to-end supply chain visibility to prepare for unexpected changes in demand. As such, retailers should explore practical, relevant ways to predict demand, while continuing to deliver quality, omni-channel consumer experiences.

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How Behavior Change Within the Enterprise Can Mitigate the Bullwhip Effect

In 1956, considerable fluctuations in production, inventories and profit baffled managers in General Electric’s household appliance division. Despite supervisory efforts, the variations endured. Traditionally, managers blamed these types of fluctuations on external causes, like business cycles.

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Revolutionizing the Supply Chain with AI & Machine Learning

To create intelligent supply chains, ones that can adapt to changing customer demands and increase efficiency and profits, enterprises are increasingly leveraging artificial intelligence (AI) and machine learning (ML).

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Reducing Supply Chain Agility to Better Capture Demand

Over the last three decades we’ve moved from maximizing resource utilization to operating demand-driven supply chains. So you can imagine my surprise when I heard a leading process manufacturer in a supply constrained environment, one that sells to large businesses, was considering returning to a fixed production schedule. The justification for the change – high demand variability and poor forecast accuracy – only furthered my disbelief.

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Organizational Readiness for AI-Powered Supply Chain Planning

Innovative companies are cutting supply chain complexity and accelerating responsiveness using artificial intelligence. By applying AI and machine learning against vast sets of supply chain data to unearth insights into problems and performance, enterprises are augmenting knowledge-intensive areas such as supply chain planning to be more dynamic, flexible, and efficient.

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