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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.

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

Logistics Viewpoints

Optimization is used in supply planning, factory scheduling, supply chain design , and transportation planning. In mathematical terms, optimization is a mixed-integer or linear programming approach to finding the best combination of warehouses, factories, transportation flows, and other supply chain resources under real-world constraints.

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

Logistics Viewpoints

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. 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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Farelanes: Real Time Lane Pricing for Everyone with Neal Huffman

The Logistics of Logistics

He does not shy away from the unknown and is fully focused on evangelizing Farelanes approach for taking the obfuscation out of the transportation lane pricing chaos that exists today. He is intently focused on bringing real time fare solutions enabling all players success in the transportation industry.

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Celanese Leads the Pack When it Comes to Agentic AI

Logistics Viewpoints

The risks associated with chemical manufacturing include the storage and transportation of raw materials, finished products, and waste. Increasingly what Cognite is offering is called a data fabric ; in their case, it is a data fabric for plant-level data. Industrial data is voluminous. They must be.

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Report From DPW: What’s Next for AI in Supply Chain?

Supply Chain Brain

Advertise Contact Us Supplier Directory SCB YouTube About Us Login Subscribe Logout My Profile LOGISTICS Air Cargo All Logistics Facility Location Planning Freight Forwarding/Customs Brokerage Global Gateways Global Logistics Last Mile Delivery Logistics Outsourcing LTL/Truckload Services Ocean Transportation Parcel & Express Rail & Intermodal (..)

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Digital Transformations Require Clean, Accessible, Up to Date Data

Logistics Viewpoints

This is also a data issue. Master data management (MDM) as a critical performance driver for the enterprise. What is Master Data Management? Master data management is the discipline in ensuring data is accurate, accessible, and up to date. Achieving Data Mastery. They offer several tips.

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