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

Logistics Viewpoints

The Evolution of Connected Fleet Ecosystems Fleet Management 2.0 is redefining transportation by integrating IoT sensors into vehicles, fundamentally shifting fleet operations. Together, these capabilities show how connected fleet technology supports precise, cost-effective fleet management.

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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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Mathematical Optimization: Supply Chain Management by the Numbers

Supply Chain Brain

Bowman, SupplyChainBrain Supply chains consist of imperfect humans struggling to make perfect decisions. That, at least, is the theory behind mathematical optimization, and the way it’s being applied to supply chain management today. In the end, though, it all comes down to a game of numbers.

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Autonomous Business Planning Is Not Only Possible, It Has Already Been Achieved

Logistics Viewpoints

During my current supply chain planning market research, I have received briefings from several SCP companies. The people who work with us are those who really, truly believe in what we believed in from the start, that is, autonomous supply chains are possible. And that data has “to be internally consistent.