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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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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. That’s where warehouse optimization comes in. Here’s what you can expect: A clear definition of warehouse optimization and its core components. Ready to get started?

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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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Warehouse Productivity: A Guide to Smoother Operations in 2025

RFgen

Warehouse operators are under constant pressure to do more with less. You’re expected to ship more orders, faster, with fewer errors — all while managing rising costs and shrinking labor pools. How much could you save by streamlining your workflows and empowering your team with real-time data?

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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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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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Warehouse P2G Robotics: A Flexible and Affordable Solution

Supply Chain Brain

The warehouse, meanwhile, has been elevated from afterthought to a central player, as new demands and responsibilities are placed on supply chains — from small-batch wave picking and reverse logistics to deeper supplier collaboration, and tariff and sustainability compliance. Just be prepared for anything and keep going.