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Machine Learning in Demand Planning: How to Boost Forecasting

ToolsGroup

Machine learning (ML)a specialized field within artificial intelligence (AI)is revolutionizing demand planning and supply chain management. According to McKinsey , organizations implementing AI-driven demand forecasting solutions can reduce forecast errors by 30% to 50%.

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Procurement vs. Supply Chain Management: Differences, Challenges & Solutions

ivalua

Procurement and supply chain management are often used interchangeably—but in practice, the lines between them can blur in ways that create real friction. Misaligned priorities, siloed systems, and unclear ownership can directly impact key performance indicators like cost savings percentage and procurement cycle time.

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Probabilistic Forecasting: The Future of Supply Chain Planning

ToolsGroup

In the fast-paced world of modern supply chains, traditional forecasting methods fall short. Probabilistic forecasting is revolutionizing demand forecasting, supply planning, and inventory optimization by significantly improving forecast accuracy and decision-making across distribution networks.

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Advanced Supply Chain Planning with Probabilistic Forecasting

ToolsGroup

In the fast-paced world of modern supply chains, traditional forecasting methods fall short. Advanced supply chain planning is being transformed by probabilistic forecasting , which revolutionizes demand forecasting, supply planning, and inventory optimization.

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Aligning Supply Chain Metrics to Improve Value

Supply Chain Shaman

In follow-up qualitative interviews, one of the largest issues with organizational alignment was metric definition and a clear definition of supply chain excellence. In my post Mea Culpa, I reference my work with the Gartner Supply Chain Hierarchy of Metrics. They do not excel in planning or forecasting.

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Reinventing Supply Chains: Focus on Human Factors

Supply Chain Shaman

Technology can change or even improve work. Companies today making a fundamental mistake: they are attempting to automate current processes with AI versus challenging and redefining work. Today, in supply chain planning, this could not be further from reality. What’s missing? The ripple effects are pervasive.

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Demand Planning: Whipped And Chained by Tradition

Supply Chain Shaman

She wrote, “I have been working in the supply chain for 35 years, and we are still trying to solve the “demand” issue. Solving from a supply side seems to work for many companies I work with. I know that your primary focus is procurement. Or planned orders to purchase orders?)