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A Decade of Loadsmart: A Look Back to Move Forward with Felipe Capella

The Logistics of Logistics

Previously advised companies on corporate strategy and M&A in Brazil and New York for 8 years. From digital freight brokerage and consultancy to software tools, they empower shippers, carriers, and warehouses to move more with less—increasing efficiency, reducing costs, and enhancing service quality.

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AI in Supply Chain Automation: Procurement to Logistics

Logistics Viewpoints

The adoption of AI in supply chain automation is enabling companies to make more accurate decisions, reduce cycle times, and better manage complexity. AI in Procurement: Enhancing Sourcing and Supplier Management Procurement has traditionally relied on human expertise, manual comparison of supplier options, and analysis of past performance.

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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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Vendor Managed Inventory Model for Supply Chain Cost Reductions

GlobalTranz

As a supply chain director, manager, or boss of a multinational corporation, where the supply chain is an integral part of your business, supply chain cost reductions are always at the forefront of your team’s mind. Vendor Managed Inventory Model for Supply Chain Cost Reductions.

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Edge Computing in Logistics: Enabling Real-Time Data Processing Closer to Operations

Logistics Viewpoints

Edge computing processing data locally, near the source has emerged as a method to address these challenges by reducing latency and improving resiliency. Different manufacturers and vendors often use different protocols and systems, making integrations resource intensive from both a capital and personnel perspective.

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The AI Wars: Battlefronts, Breakthroughs, and the New Era of the Industrial AI (R)Evolution

Logistics Viewpoints

All supply chain vendors seek to position themselves as leaders in supply chain AI. AWS , Google , and Microsoft are also investing heavily in custom AI chips to reduce their dependence on NVIDIA and optimize performance and cost. Collin Masson, Director of Research at ARC Advisory Group. But there is a larger AI ecosystem.

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How Can Supply Chain Leaders Use Big Data as a Tool to Continuously Improve?

GlobalTranz

The most common complaint of newer companies using big data analytics capabilities tends to revolve around traditional questions of business strategy. Consider the following elements explains John Richardson of Inbound Logistics, that impact business strategy. Increasing order efficiency. Demand forecasts. The quantity of each product.