Remove Demand Planning Remove Distribution Remove Inventory
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Demand Planning: Whipped And Chained by Tradition

Supply Chain Shaman

Over the last two years, I actively engaged technologists and business leaders to redefine demand planning. In the industry, supply-centric techniques reign with lots of bravado and messaging on control towers, Demand-driven Materials Requirements Planning (DDMRP), and generative AI. The reason? Should companies care?

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A Thing of Beauty: How Belcorp Mastered Its Supply Chain Complexity with Advanced Multi-echelon Inventory Optimization and Planning Digital Solution

ToolsGroup

This article will examine the challenges Belcorp faced with managing its extensive product range and complex supply chain and how our solution set, which includes Service Optimizer 99+ (SO99+), Demand Planning, and the Multi-Echelon Inventory Optimization (MEIO) model, transformed their operations. It played out as follows.

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Fashion Industry Challenges Require Elegant Demand Planning

ToolsGroup

This article will explore the different retail channels and reveal tips for finally mastering demand forecasting for the fashion industry. Demand planning for direct and indirect channels. franchising) complete the distribution mix. Filter any erratic demand peaks (outliers) in the cleansing phase. 1) [link]. (2)

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Advanced Supply Chain Planning with Probabilistic Forecasting

ToolsGroup

Advanced supply chain planning is being transformed by probabilistic forecasting , which revolutionizes demand forecasting, supply planning, and inventory optimization. This approach significantly improves forecast accuracy and enhances decision-making across distribution networks.

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Probabilistic Forecasting: The Future of Supply Chain Planning

ToolsGroup

Probabilistic forecasting is revolutionizing demand forecasting, supply planning, and inventory optimization by significantly improving forecast accuracy and decision-making across distribution networks. These outdated methods lead to chronic inventory imbalancesexcess stock in some locations and stockouts in others.

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Demand Sensing: How to Unlock Smarter Supply Chains with AI

Logility

Balancing forecast accuracy with inventory management gets more challenging every day. A New Era of Demand Planning White Paper Learn more about these new demand models in this whitepaper. Customer behavior: Real-time insights into customer orders, inventory levels, and distribution channels clarify short-term demand.

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Supply Chain AI: 25 Current Use Cases (and a Handful of Future Ones)

Logistics Viewpoints

Demand planning engines have natural feedback loops that allow the forecast engine to learn. Since ML began being used in demand forecasting in the early 2000s, ML has helped greatly increase the breadth and depth of forecasting. Drones use this form of AI to improve inventory accuracy in a warehouse.