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

Logistics Viewpoints

The industrial sectorparticularly supply chain management, is facing unprecedented complexity. Volatile markets, global disruptions, and the need for real-time insights are pushing traditional systems to their limits. Typically, these systems consist of standard-task agents (e.g.,

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End-to-End Supply Chain Orchestration: Achieving Visibility and Operational Control

Logistics Viewpoints

In most industries, supply chains have become increasingly complex. This complexity has introduced gaps in visibility and responsiveness that traditional systems werent designed to handle. As a result, many organizations are moving toward supply chain orchestration as a structured method for improving coordination.

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Amazon and the Shift to AI-Driven Supply Chain Planning

Logistics Viewpoints

Supply chain disruptions have become a persistent operational risk. Traditional supply chain planning, which relies on historical data and reactive adjustments, is no longer adequate for managing these challenges. Amazon is a leader in AI-driven supply chain management.

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Mastering Disruption: A Smarter, More Connected Approach

Logistics Viewpoints

Five years ago, we all thought the COVID-19 pandemic resulted in the most disrupted supply chain landscape we would ever see. Since then, supply chain disruptions and volatility have only increased. That may sound impossible, but new technology places this capability within the reach of every organization.

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5 Powerful Prescriptive Analytics Examples in Supply Chain

Supply chain, with its complex planning questions, is typically an area where optimization technology is required. Supply Chain Network Design. Sales and operations planning (S&OP). Warehouse optimization. Read about 5 use cases. Sales and Operations Execution (S&OE). Inventory optimization.

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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. These capabilities are now being integrated into mainstream TMS, WMS, and ERP platforms.

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The Emergence of Supply Chain Data Fabrics

Logistics Viewpoints

When one thinks of supply chain software vendors, the name InterSystems may not spring to mind. A supply chain data fabric can help companies augment their supply chain processes. They aim to achieve the same success in supply chain management that they have achieved in the healthcare sector.