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

Logistics Viewpoints

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. ML can also be used to generate labor standards for warehouse workers.

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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. What is missing is data-driven logistics and decision-making as opposed to solely event or disruption driven.

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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). It demands solutions that understand the nuances of industrial processes, data, and workflows. Typically, these systems consist of standard-task agents (e.g.,

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8 Warehouse Optimization Tips from Manufacturing Experts

RFgen

In the age of same-day delivery and rising consumer expectations, there is immense pressure on warehouses to perform at peak efficiency. But between rising costs, complex logistics, and the constant struggle to optimize space and labor, staying ahead can feel like an uphill battle. That’s where warehouse optimization comes in.

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The Rise of Outsourced Logistics: What it Means for LSPs

BlueYonder

Driven by omni-channel growth and multinational expansion, the global logistics industry is booming — and it’s expected to reach $18 trillion in value by 2030. They need new trucks, new warehousing space, new micro-fulfillment facilities — but high interest rates and rising real estate prices make them reluctant to invest.

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Executives Exploring AI Need to Understand Data Fabrics

Logistics Viewpoints

For instance, advanced factory scheduling solutions use predictive maintenance inputs, which rely on sensor data to forecast equipment failures. Short-term forecasting relies on POS and other forms of downstream data. Warehouse management systems rely on RF scans of locations and products.

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Top 15 Logistics Blog Posts of 2014

GlobalTranz

We continue our top blog posts of 2014 from our main categories today by focusing on something at Cerasis we are experts in : Logistics. If you are familiar with the term logistics, then you undoubtedly know it conjures up a different meaning to different people , different countries, and different companies even. Read the full Post.