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

Logistics Viewpoints

Effective scenario testing also requires well-trained users proficient in the system’s functionalities, making it difficult to achieve accurate results quickly. Simplified Planning Process: ISP simplifies the planning process into manageable steps and scenarios, providing clear guidelines, templates, and training.

Modeling 220
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How to Elevate your Product Segmentation Strategy with Supply Chain Optimization?

AIMMS

Product segmentation strategies trigger leaders to rethink their supply chain optimization plans, by focusing on cost-efficiency, service, and sustainability. 

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Elevating Inventory Management with Multi-Echelon Inventory Optimization

Logility

Enter Inventory Optimization (IO) as a vital strategy to combat supply chain stress. Yet, recent research suggests a more advanced approach, Multi-Echelon Inventory Optimization (MEIO), surpasses traditional methods. This urges a shift from the unsustainable practice of buffering against uncertainty with high inventory levels.

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Rethinking Your Manufacturing Footprint Optimization Strategy

River Logic

Manufacturers need to continually review their manufacturing footprint strategies to maximize opportunities, minimize risk and optimize their tactics. They need to respond quickly to new concepts and changes in consumer preferences.

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How to Optimize Your Supply Chain in Times of Disruption

Research by GEP and North Carolina State University shows how tech can fix the gaps and ensure supply chain resilience and optimization. Disruptions expose gaps in the supply chain and amplify problems. What can be done? Download now!

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Supply Chain Software Implementation: How to Optimize ROI 

Logility

Businesses need a more prescriptive approach to supply Chain Software Implementation to optimize ROI. A strong starting point? Clear goals.

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How Machine Learning Optimizes the Supply Chain

Talking Logistics

Talking Logistics guest commentary by Glenn Jones (Blume Global) on how machine learning optimizes the supply chain.

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How a Global CPG Leader Optimized $500M of Direct Materials Spend and Exceeded Savings Goal

A Fortune 500 CPG company partnered with GEP to improve end-to-end category management, optimize direct spend categories, and increase strategic focus on tail spend. The result was a year-over-year savings of more than 3%. This is essential reading for all procurement and supply chain leaders.

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How To Set Up Innovation So That It Aligns With And Enables Corporate Strategy

Speaker: Paul Heller

Most innovation work proceeds independently from company strategy. This challenge is particularly significant in organizations with transformation-oriented strategies, where innovation must directly support growth, scalability, and strategic pivots.

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Next-Generation Fulfillment Strategies and Operating Models: A Strategic Playbook

Download this GEP playbook to learn more about the next generation of fulfillment strategies and operating models. Faced with many fulfillment constraints and older operating models that can’t keep up, companies must look to the future.

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Common Use Cases for Mathematical Optimization

Mathematical optimization is a subset of artificial intelligence and a type of prescriptive analytics. What are some of the most common use cases for mathematical optimization across industries? This guide is ideal if you: Are curious about the different application areas for mathematical optimization.

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Just In: Inventory Optimization Research

How are organizations performing on inventory optimization? For instance, inventory optimization is now a strategic priority for 35% of organizations. The technologies in use and the benefits of optimization. How can new technologies help your team improve? Find out in this new research report. Inventory: asset or liability?

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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.

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The Current and Future Use of Gen-AI in Supply Chains

From demand forecasting to inventory optimization, risk mitigation to sustainability — AI is set to transform everything. AI isn’t the future. It’s here, now. 30% of businesses have invested in AI. Another 57% will do it in the next 12 months*.

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How Does Your Inventory Optimization Process Compare to Peers?

Take it now to see how your inventory optimization process scores and benchmark it against peers. Are You Betting on the Right Tools to Succeed in 2021? The 15-question assessment takes only 5 minutes to complete. Responses are aggregated and kept anonymous. We hope it serves as a thought-provoking exercise to improve your approach! -->