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Supply Chain: Cash or Trash with Seth Page

The Logistics of Logistics

Tech pioneer and founder providing deal flow origination for angels, venture capital firms, corporations and family offices in diverse yet interconnected areas including Industrial AI, IOT, Artificial Intelligence, Machine Learning, Data Science, Operations Technology, Enterprise, Telecommunications, Security & Access Control.

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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. Data privacy concerns are paramount, as AI systems rely on vast amounts of sensitive information.

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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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Circular Supply Chains: Reducing Waste & Maximizing Resources

Log-hub

Waste has been the default setting of supply chains for decades. A circular economy , where materials are reused, repurposed, or recycled to create a more sustainable supply chain that minimizes waste and maximizes value. This model helps reduce e-waste while increasing product longevity. The solution?

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Discover 4 Use Cases for Applying AI to Your Recruiting Processes

Recruitment AI technology uncovers the most qualified candidates. This technology automates recruiting routines and facilitates natural conversations, resulting in higher productivity and a better candidate experience. Download the eBook to learn more!

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Unlocking Supply Chain Potential with AI Agents and Multi-Agent Workflows

Logistics Viewpoints

Understanding AI Agents At its core, an AI Agent is a reasoning engine capable of understanding context, planning workflows, connecting to external tools and data, and executing actions to achieve a defined goal. Integrate with External Tools and Data: AI Agents can augment their inherent language model capabilities with APIs and tools (e.g.,

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Last Mile Delivery Optimization Strategies for 2025

WorkWave

Table of Contents [Open] [Close] Significance of Last-Mile Delivery Optimization Implementing Innovative Strategies The Role of Data Analytics Sustainability: A Necessary Focus 1. Timely and efficient last-mile deliveries are critical for meeting customer expectations. Electric and Alternative Fuel Vehicles 2.