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End-to-End Supply Chain Orchestration: Achieving Visibility and Operational Control

Logistics Viewpoints

This complexity has introduced gaps in visibility and responsiveness that traditional systems werent designed to handle. It is not a technology on its own, but rather a process that combines planning, execution, and monitoring through integrated tools and workflows.

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Autonomous Business Planning Is Not Only Possible, It Has Already Been Achieved

Logistics Viewpoints

Solvoyo has a metric they call the user acceptance rate. This metric measures the percentage of time the planners accept replenishment, transportation, or inventory plans as they are without any change in the timing of the delivery or the quantity to be delivered. We are a platform. Forecasting is not an actionable item.”

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Machine Learning in Demand Planning: How to Boost Forecasting

ToolsGroup

Beyond simply improving forecast accuracy, todays ML-powered demand forecasting software uncovers hidden supply trends, anticipates pricing fluctuations, and enables proactive supply chain planning decisions. Five Ways Advanced Machine Learning in Demand Planning Is Improving Forecasting 1.

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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. Error is error, but is it the most important metric? My answer is no.

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Dynamic Inventory Replenishment Optimization Guide

ToolsGroup

Financial crises, global tensions, supply shortages, technological innovations, and regulatory changes are inevitable we just cant predict when theyll strike. This uncertainty makes dynamic inventory replenishment optimization essential for business success. Disruptions in the supply chain happen with surprising regularity.

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Building a Winning Business Case for Demand Forecasting: A Comprehensive Guide

ToolsGroup

Demand forecasting is a critical strategy for supply chain management that can dramatically improve business decision-making and financial performance. However, securing leadership buy-in for demand forecasting technology requires a strategic approach that clearly demonstrates value.

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The Importance of Energy Transition and Sustainability in the Logistics and Supply Chain Industry

Logistics Viewpoints

Retrofitting existing infrastructure with energy-efficient technologies further enhances sustainability efforts. Critical practices include: Circular Supply Chains: Designing systems that minimize waste and emphasize recycling and reuse. Advanced route optimization tools further support these goals.