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Amul’s Optimized Supply Chain: Driving Global Growth in the Dairy Industry

Logistics Viewpoints

India’s growth story can continue if it streamlines and effectively manages its supply chain like the iconic dairy brand Amul that recently entered the US market. Amul’s model supports small producers by integrating large-scale economics, cutting out intermediaries, and connecting producers directly with consumers.

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How to Optimize Demand Forecasting: Probabilistic Solutions

ToolsGroup

But many supply chain practitioners dont realize that the most common approach to supply chain planningusing a demand-driven forecast as the primary input to future planningis just as outdated. Companies that rely solely on deterministic models are struggling to keep up with demand fluctuations.

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Beyond Cost Optimization: Building Resilient Supply Chains in an Unstable Trade Environment

Logistics Viewpoints

For years, supply chains were engineered to be lean. Lean models alone are no longer sufficient. Recent years have brought a series of disruptions that exposed vulnerabilities in how supply chains are designed. Recent years have brought a series of disruptions that exposed vulnerabilities in how supply chains are designed.

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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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Brace for Impact. Unpredictable Tariff Disruptions Are Here––Your Playbook

Tariffs will have a major impact on your supply chain, margins, and operations.

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Supply Chain Optimization: Leveraging Integrated Scenario Planning as a Margin Multiplier

Logistics Viewpoints

Situation Companies are increasingly confronted with complex planning scenarios due to predictable events such as mergers and acquisitions, category expansions, supplier changes, and distribution evolution, as well as disruptive events including demand volatility, material shortages, capacity constraints, and logistical surprises.

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Demand Sensing: How to Unlock Smarter Supply Chains with AI

Logility

Artificial intelligence (AI) and rapidly developing generative AI tools provide complex, real-time, and in-depth insights specific to supply chain management. Further, AI-driven demand sensing allows businesses to combine scattered data which is essential for better forecast accuracy.

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How Companies Are Navigating Tariff Chaos with GEP’s AI-Powered Procurement Platform

What’s Inside: Tools to model and simulate tariff impacts before they hit How to pivot suppliers, shift sourcing, and respond in real time Strategies to optimize total landed cost and streamline compliance Learn how AI-powered procurement solutions help businesses stay ready, no matter what policy hits next.

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Guide to Mathematical Optimization & Modeling

For decades, operations research professionals have been applying mathematical optimization to address challenges in the field of supply chain planning, manufacturing, energy modeling, and logistics. This guide is ideal if you: Want to understand the concept of mathematical optimization.

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Best Practices to Model Carbon Costs in Supply Chain Network Design

Do you want to know the environmental impact of your supply chain and make sustainable decisions? In this article, we share best practices about modeling carbon costs in network design.

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The Essential Supply Chain Network Design Tooling Checklist

Dedicated supply chain network design software is fuelled by intuitive scenario analysis capabilities on the front end and powerful mathematical optimization on the back end. Answer 10 relevant questions and find out if your needs qualify for advanced network design & scenario modeling technology.

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Supply Chain Network Design: The Ultimate Use Cases eBook

Explore the most common use cases for network design and optimization software. This eBook shares how supply chain leaders leverage their supply chain design software to tackle a variety of challenges and questions. Scenario analysis and optimization defined. Modeling your base case. Modeling carbon costs.

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New Research: The State of Supply Chain Network Design in 2022

This report explores how the state of supply chain network design has changed – including how the tools, maturity models, and market demands are transforming the network design practice. Advanced analytics & Scenario Modeling. Industry benchmarks.

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Supply Chain Network Design Use Cases; From Lowering Cost to Going Green

Speaker: Aanand Pandey and Catalina Perez

Need to lower your supply chain costs, speed up delivery times or decrease carbon emissions? Start optimizing your supply chain! Dealing with abrupt changes in demand. Finding optimal locations for plants and other resources. Finding optimal locations for plants and other resources. Modeling carbon cost.

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Easily Build an Optimization App and Empower Your Data

Speaker: Gertjan de Lange

If the last few years have illustrated one thing, it’s that modeling techniques, forecasting strategies, and data optimization are imperative for solving complex business problems and weathering uncertainty. Experience how efficient you can be when you fit your model with actionable data.