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

Supply Chain Matters

In this commentary we focus specifically on the importance of a broader end-to-end data management framework while overcoming the fragmentation of data that is locked in separate, unconnected software applications. What is missing is data-driven logistics and decision-making as opposed to solely event or disruption driven.

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Executives Exploring AI Need to Understand Data Fabrics

Logistics Viewpoints

This is why data fabrics are necessary. A data fabric refers to an architecture that supports a unified approach to data management. Data fabrics need to work across an AI and Analytics lifecycle. This is a critical framework that guides the transformation of “good enough” data into insights and actions.

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

Logistics Viewpoints

Upgrading procurement systems to include ESG data management capabilities is helping companies better track supplier performance across environmental, social, and governance dimensions. The post ESG-Driven Supply Chains: Moving Beyond Compliance Toward Proactive Sustainability appeared first on Logistics Viewpoints.

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

Logistics Viewpoints

ML techniques like clustering, data similarity, and semantic tagging can automate master data management. Without accurate data, companies face the garbage in, garbage out problem. The names of the suppliers, carriers, logistics service providers become search terms. Autonomous trucks will revolutionize logistics.

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Mastering Digital Product Passports: Strategies for Seamless Implementation

Logistics Viewpoints

Assessing Infrastructure and Technological Capabilities The first step in the readiness assessment is to evaluate the organization’s IT infrastructure and data management systems. Organizations must also evaluate the quality, integrity, and security of their data to ensure it is reliable enough for DPP purposes.

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

Logistics Viewpoints

user interface and data management agents) collaborating with specialized-skill and tool agents (e.g., data extractors or image interpreters). Inventory Management AI Agents can track stock levels in real-time and compare them with demand forecasts, optimizing inventory levels and preventing overstock or stockouts.