Remove Demand Planning Remove Logistics Remove Sourcing
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Supply Chain AI: 25 Current Use Cases (and a Handful of Future Ones)

Logistics Viewpoints

Demand planning engines have natural feedback loops that allow the forecast engine to learn. Since ML began being used in demand forecasting in the early 2000s, ML has helped greatly increase the breadth and depth of forecasting. The names of the suppliers, carriers, logistics service providers become search terms.

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Supply Chain & Logistics News June 23rd – 26th 2025

Logistics Viewpoints

This week in supply chain and logistics news includes Blue Yonder being selected to support Border States, an electrical distribution company, with their warehouse management needs. Clorox Plans to Begin Overhauling Its U.S Among fossil fuels, natural gas saw the largest growth, increasing by 2.5%.

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Context. The Key to Unlocking the Power of Your Supply Chain Data Strategy

Logistics Viewpoints

Companies must harness a wide variety of data structures and formats, spanning internal and external sources. Before this experience, Alex spent several years at Subway where she was responsible for managing demand planning for promotional, limited time offers, and R&D test products. The post Context.

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Roles and Responsibilities of Demand Planning

QAD

Updated: February 4, 2025 According to Michigan State University , demand planning is a supply chain management process of forecasting, or predicting, the demand for products to ensure they can be delivered and satisfy customers. Should demand planning be placed under supply chain management, sales, or finance?

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90-day tariff response: From crisis management to competitive advantage

Kinaxis

Many suppliers are already exploring substitution options or alternative sourcing, and you want to be part of those conversations early. This framework will guide your sourcing decisions for months to come and should be updated as new tariff policies come into play. Build strategic buffers for these items but do it intelligently.

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Decentralizing Supply Chains: How Regional Models Drive Resilience and Flexibility

Logistics Viewpoints

Companies that previously prioritized cost-cutting and centralized sourcing quickly found themselves exposed to serious production and distribution risks. In response, many organizations have shifted toward decentralized and regionalized supply chain models, distributing production and sourcing across multiple regions.

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How AI is Transforming Aftermarket Parts Planning

ToolsGroup

And demand patterns are highly unpredictable. With multi-echelon networks, supplier uncertainty, multiyear product lifecycles, and reverse logistics channels , aftermarket supply chains exceed the capabilities of traditional planning tools. Its time to move beyond the guesswork in demand planning. The outcome?