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LTL in a Post-Yellow World with Curtis Garrett

The Logistics of Logistics

About Understand LTL The Understand LTL education brand is a new initiative that is focused on simplifying the LTL industry and helping people to build the mental models in their mind to think about LTL clearly. For carriers, it presents an opportunity to expand their market share and increase their profitability. The Greenscreens.ai

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Amazon and the Shift to AI-Driven Supply Chain Planning

Logistics Viewpoints

Traditional supply chain planning, which relies on historical data and reactive adjustments, is no longer adequate for managing these challenges. Organizations examine past sales trends, apply seasonal adjustments, and make forecasts based on historical models.

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Using Data to Improve Supply Chain Operations

Material Handling and Logistics

Learn how to organize your data operations in alignment with supply chain strategy. Complex supply chains generate more data, which companies can use to drive greater efficiency or engage in innovation that disrupts an entire industry—think Amazon. More data is coming in than ever before.

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Empowering a Greener, Smarter Future in Logistics Through AI

MTS Logistics

By analyzing real-time data from various sources, companies can make proactive decisions that improve collaboration among stakeholders, boost operational resilience, and increase customer satisfaction. Despite its transformative potential, the path to full AI integration in logistics presents challenges.

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Fleet Management 2.0: The Rise of Connected Vehicles in Global Supply Chains

Logistics Viewpoints

These sensors capture precise data on factors like location, speed, fuel usage, and driver behavior, transforming fleet management from reactive to data-driven decision-making. The IoT data allows managers to detect inefficiencies, predict maintenance needs, and even assess driver performance.

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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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How Autonomous Delivery Vehicles Are Redefining Last-Mile Logistics

Logistics Viewpoints

Machine learning improves the vehicle’s performance by analyzing data from past deliveries and refining its operations. Cloud Computing: The data collected by ADVs is processed through cloud platforms, enabling real-time communication, route adjustments, and fleet management.