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Scenario Modeling Is Now Crucial for Supply Chain Network Design

AIMMS

The COVID-19 pandemic has exposed many risks and uncertainties in supply chain networks. Materials shortages , demand fluctuations and plan t closures have led many organizations to revisit their supplier relationships, as well as distribution and production locations. Read on for common use cases. .

Modeling 361
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Supply Chain AI: 25 Current Use Cases (and a Handful of Future Ones)

Logistics Viewpoints

It has led supply chain vendors to discuss how they currently use artificial intelligence. Further, virtually every supplier of supply chain solutions is eager to explain the ongoing investments they are making in artificial intelligence. AI is not a new technology in the supply chain realm; it has been used in some cases for decades.

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Amazon and the Shift to AI-Driven Supply Chain Planning

Logistics Viewpoints

Supply chain disruptions have become a persistent operational risk. Geopolitical instability, extreme weather, labor shortages, and fluctuating consumer demand regularly impact global logistics. Amazon is a leader in AI-driven supply chain management. Executives are left making high-stakes decisions with incomplete information.

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

Logistics Viewpoints

The logistics and supply chain industry is a critical component of global trade, responsible for moving goods and materials efficiently to meet consumer and business demands. Businesses face heightened uncertainty in managing costs and securing stable energy supplies.

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The Three Pillars of Sustainability in Supply Chain and Logistics: A Strategic Guide

Logistics Viewpoints

In today’s interconnected global economy, sustainability within supply chains and logistics has become a necessity rather than an option. Regulatory demands, rising consumer expectations, and global challenges such as climate change and social inequality have made sustainable practices a strategic priority.

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AI in Supply Chain Automation: Procurement to Logistics

Logistics Viewpoints

The adoption of AI in supply chain automation is enabling companies to make more accurate decisions, reduce cycle times, and better manage complexity. AI in supply chain automation is gradually reshaping how core functions operate, particularly in procurement, warehousing, and logistics.

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10 Ways A Data Gateway Improves Time to Value Across Your End-to-End Supply Chain

Logistics Viewpoints

Supply chain practitioners seeking the best way to speed decision intelligence, unify supply chain data, and increase operational efficiency can benefit from a supply chain data gateway. Here are 10 ways a supply chain data gateway can improve your performance across the end-to-end supply chain.