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Scenario Modeling Is Now Crucial for Supply Chain Network Design

AIMMS

How are companies leveraging scenario modeling for network design and optimization ? The good news is many of the survey’s respondents recognize the potential of more advanced optimization solutions. In the context of disruptions like COVID-19, scenario modeling can make considerable difference – Tweet this.

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LLMs, Optimization and Automation: Supply Chain’s Defenses Against Market Swings

Blue Grace Logistics

Three technologies have emerged as game-changers for third-party logistics (3PL) and supply chain experts: large language models (LLMs), freight optimization platforms and no-code automation. These AI-driven models can understand and generate human-like text based on the input provided. The answer lies in data.

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Modeling brewing capacity to drive cost savings at HEINEKEN

AIMMS

Can you tell me about HEINEKEN’s AIMMS-based Brewing Capacity Model? I understand your team took ownership of this model. Yeah, so there was an existing Brewing Capacity Model which lived in an Excel file. There was no global master data in place either. I’m curious to learn more about your vision for the model.

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Supply Chain Big Data: Why Supply Chain Leaders Are Using Big Data Analytics

GlobalTranz

Thanks to data gathering programs, supply chain software , and data entry applications, this represents a mountain of data, which has the potential to provide ground-breaking insight into how to improve business-model efficiency. What Is Supply Chain Big Data? How Does Big Data Improve a Supply Chain?

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The State of LTL with Special Guest: Old Dominion Freight Line

Blue Grace Logistics

Key Takeaways: Optimize Your LTL Experience: Discover actionable insights on adapting to evolving trends and improving efficiency based on expert advice and market shifts. Understand Sector Impacts: Explore how other transportation modes influence the LTL sector and how LTL fits into a broader, mode-agnostic distribution model.

Webinar 116
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Developing Agile Procurement Strategies: Thriving Amid Global Trade Disruptions

Logistics Viewpoints

An automotive company I collaborated with conducted detailed modeling of potential tariff impacts on semiconductor supply chains. A Fortune 500 retailer, for instance, reduced its procurement cycle time by 30% by leveraging an AI-driven tool to analyze supplier data efficiently.

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3 Ways to Make your Operational Execution More Robust with S&OE

AIMMS

Our recent webinar offered a glimpse of our findings and shared 3 specific areas teams can work on to keep their supply chain out of firefighting mode. It provides an early warning system that helps business stakeholders sense and optimize their responses. Read on to get a summary or click here to watch the recording.