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How Can You Improve Value in Your Supply Chain?

Supply Chain Shaman

Compared to peer group performance for 2013-2023, 59% of the Gartner Top 25 score below their peer group on average revenue growth, 41% below inventory turns, and 41% below their sector on invested capital. The data outcome is open source and can be used to improve project outcomes. The answer is not th e Gartner Top 25.

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Demand Forecasting: A Complete Guide to Supply Chain Excellence

ToolsGroup

It leverages historical data, competitive intelligence, and external factors to guide inventory planning and resource allocation. Image source: Stefan de Kok 2. For example, Aston Martin faced growing demands from an international clientele and needed to improve first-time availability without increasing inventory.

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Reinventing Supply Chains: Focus on Human Factors

Supply Chain Shaman

Supply chain was defined in 1982 as interoperability between source, make and deliver. It includes hedging strategies, alternate bill of materials, supplier sourcing strategies, changing routs to market, redesigning push/pull decoupling points, demand shaping policies, and use of outsourced manufacturing and distribution.

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Resilinc at ISM World 2025: Reinventing Supply Chain Risk Management with Agentic AI

Resilinc

Both scenarios carry hidden dependencies, but overreliance on single or sole sourcing is increasingly a hidden challenge. The call to action was clear: Organizations must act now to pinpoint financial and sourcing vulnerabilities. Rising concerns over cash conversion : U.S.

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Rising Above Supply Chain Disruptions

DELMIA Quintiq

Here are a few tactics: Monitorinventory, including components and sources,with digital supply-chain mapping. Differentiate how you hold inventory by using a multi-echelon optimization approach to prevent shortages. To learn more, download our exclusive ebook about supply chain planning. .

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How AI in Supply Chain Brings Value to Your Business

Logility

But it is setting the foundation for a new paradigm that could cut 70% of weekly planning time, 15%–30% fewer forecast errors, and impressively improved inventory outcomes. AI-First Demand Planning eBook Learn “How Human-Machine Collaboration Cuts Costs, Error, and Implementation Time” in this free eBook.

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Winning the Inventory Battle in the Consumer Products Industry

Logility

Depending on the source, it is widely reported that anywhere from 50 to 85% of new products fail to achieve success. From a supply chain standpoint the battle for new product profitability relies largely on two key capabilities, developing accurate new product forecasts and optimizing new product inventory.