Remove Data Management Remove Logistics Remove Supply Chain
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Fleet Management 2.0: The Rise of Connected Vehicles in Global Supply Chains

Logistics Viewpoints

In an increasingly competitive logistics landscape, these capabilities allow companies to remain agile and cost-effective. Enhanced Efficiency Through Real-Time Data Connected vehicle technology drives efficiency improvements across route planning, driver safety, maintenance, and fuel management.

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Supply Chain AI: 25 Current Use Cases (and a Handful of Future Ones)

Logistics Viewpoints

It has led supply chain vendors to discuss how they currently use artificial intelligence. Further, virtually every supplier of supply chain solutions is eager to explain the ongoing investments they are making in artificial intelligence. Without accurate data, companies face the garbage in, garbage out problem.

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ESG-Driven Supply Chains: Moving Beyond Compliance Toward Proactive Sustainability

Logistics Viewpoints

Supply chain sustainability is increasingly important for companies facing expectations from investors, regulators, customers, and employees. Integrating ESG across supply chains presents clear operational and strategic challenges that require focused attention. Data collection and verification remain areas of concern.

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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. Lets delve into the core concepts of AI Agents and multi-agent workflows, their relevance to what ARC Advisory Group calls Industrial AI , and their potential to revolutionize supply chain management.

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Importance of Ensuring a Data Management and Supervisory Control Framework Spanning Supply Chain Execution Decision Making

Supply Chain Matters

Supply Chain Matters provides the first of a two-part market education series addressing what we term as broadening the context from warehouse control layer or accelerator to that of supply chain execution orchestration.

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Executives Exploring AI Need to Understand Data Fabrics

Logistics Viewpoints

This data is often disconnected and scattered across various applications, making it difficult to harness for insights and decision-making.” In the supply chain arena, the need to make course corrections is exploding. This is why data fabrics are necessary. Data fabrics need to work across an AI and Analytics lifecycle.

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Mastering Digital Product Passports: Strategies for Seamless Implementation

Logistics Viewpoints

It is crucial to assess the organization’s technological infrastructure, supply chain processes, and compliance frameworks to ensure they are aligned with DPP requirements. Organizations must also evaluate the quality, integrity, and security of their data to ensure it is reliable enough for DPP purposes.