Remove Data Management Remove Inventory Remove Logistics Remove Transportation
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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

user interface and data management agents) collaborating with specialized-skill and tool agents (e.g., data extractors or image interpreters). Here are some specific use cases: Demand Forecasting AI Agents can analyze historical sales data, market trends, and real-time demand signals to predict future demand accurately.

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

Logistics Viewpoints

This metric measures the percentage of time the planners accept replenishment, transportation, or inventory plans as they are without any change in the timing of the delivery or the quantity to be delivered. You set a target inventory level. And that data has “to be internally consistent. That’s an action.

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Order Visibility Is Critical Amid Low Inventories

Logistics Viewpoints

But shippers looking to avoid disruptions and ensure that tight inventory levels don’t lead to missed sales opportunities pulled their orders forward. However, over-the-road transportation costs remain low. In the past month, imports — both ocean and air — surged as disruptions exacerbated congestion at the ports.

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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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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. Shippers need more labor to keep their transportation and distribution activities moving, but employees are becoming harder to find and more expensive to retain.

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AI-Tuned Pricing and Inventory Strategies are the Way Forward for Retailers

Supply Chain Brain

Photo: iStock/South_agency July 2, 2025 Helen Atkinson, Managing Editor How does a retailer stay ahead of the dizzying number of factors that go into whether it can sell what it puts on the shelves at a profit? AI can help. Modeling the future is traditionally predicated on history, or some substitute for history,” says Petro.