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The Supply Chain Merry-Go-Around

Supply Chain Shaman

My head is wobbling with announcements, late-night Friday press releases, company name changes, and executive turnover in the supply chain planning market. Logility, a conservative company supply chain planning technology, historically had no debt and cash reserves of more than 80M, is undervalued in this deal.

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ToolsGroup Acquires Mi9 Retail’s Demand Management Business

ToolsGroup

Mi9 Retail’s Demand Management business was formerly known as JustEnough Software. Combined company gives retailers a powerful new technology arsenal to efficiently improve product availability under constrained supply and outperform the competition. Acquisition coincides with significant new growth investment from Accel-KKR.

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Elevating The Voice of the Supply Chain Contrarian

Supply Chain Shaman

Wikipedia Unleashing the Contrarian Here are my thoughts this morning over coffee: Gartner Top 25: Really A Celebration of Supply Chain Leadership? Designed to lift the profession and celebrate supply chain results, I struggle to find that the methodology supports either objective.

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Aligning Supply Chain Metrics to Improve Value

Supply Chain Shaman

In follow-up qualitative interviews, one of the largest issues with organizational alignment was metric definition and a clear definition of supply chain excellence. To manage continuous improvement, companies need a clear definition of excellence and organizational alignment to that goal. What Drives Value?

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My Take: Let’s Admit Seven Demand Management Mistakes of the Last Decade

Supply Chain Shaman

Seldom do we find a team excited about demand planning. Supply chain leaders want to improve it, but are not optimistic that they can make improvements. After two decades of process and technology refinement, excellence in demand management still eludes supply chain teams. We need to fail forward.

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Improving Demand Forecast Accuracy with Machine Learning

ToolsGroup

Improving demand forecast accuracy is crucial for supply chain success. Traditional demand forecasting methods often fall short, resulting in inefficiencies, excess inventory, and lost revenue. Unlike static demand prediction models, AI-driven forecasting adapts over time, leading to improved demand forecast accuracy.

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Thirteen Years a Blogger

Supply Chain Shaman

For over a decade, since founding Supply Chain Insights in 2012, I have pounded the keyboard, asking business leaders to think more holistically about the impact of supply chain decisions on the firm’s value, the improvement of a value chain, and the impact on the environment. Thirteen years. Guess what?