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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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Top Supply Chain Planning Vendors Are Investing to Support Agile Planning

Logistics Viewpoints

A production plan from an IBP meeting should be considered a rough-cut long-term plan, merely the best estimation of what was likely, not something written in stone. A recent supply chain planning market analysis released by the ARC Advisory Group suggests EY has picked up on a trend.

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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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How to Optimize Fulfillment with Unified Data

Logistics Viewpoints

If your systems are disjointed and you lack the ability to analyze masses of data in real time, you will struggle to deliver on-time, in-full and your reputation and revenue will be negatively impacted. A good fulfillment strategy can help businesses boost customer satisfaction (CSAT), reduce inefficiencies, and increase sales.

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

Logistics Viewpoints

As logistics networks become increasingly complex, the volume of real-time data generated by devices, equipment, vehicles, and facilities is growing rapidly. Edge computing processing data locally, near the source has emerged as a method to address these challenges by reducing latency and improving resiliency.