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How Can You Improve Value in Your Supply Chain?

Supply Chain Shaman

I laugh when business leaders tell me that they are going to replace their current supply chain planning technologies with “AI.” Each supply chain planning technology at the end of 2024, went through disruption–change in CEO, business model shift, layoffs, re-platforming and acquisitions. You are right.

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Probabilistic Forecasting: The Future of Supply Chain Planning

ToolsGroup

Traditional supply chain planning tools rely on deterministic forecasting, generating single-point estimates that often misrepresent real-world complexities. However, this approach ignores real purchasing behavior, such as customers buying complete sets of four tires.

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Strategic Sourcing + Smart Solutions: The Unbeatable Duo for Procurement Success

SCMDOJO

Strategic sourcing and innovative solutions are often viewed as two distinct procurement tools, but they should not be seen in isolation. Think of them as apples and gearseach essential and effective on its own, yet when combined; they create a formidable mechanism for achieving procurement excellence. Click here!

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What Today’s Modern BI Systems Do That Legacy Reporting Tools Can’t

Silvon Software

Analytics and business intelligence (BI) are no longer optionaltheyre essential. Thats why modern BI systems are quickly becoming the go-to solution for data-driven enterprises. They integrate, align, and activate data across the business to drive better, faster decisions unlike legacy reporting tools that can’t.

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Logistics Software: How to Make Handling Peak Times Easy

Logistics Viewpoints

The hype usually revolves around just one item and can easily be managed by a modern logistics system. This warehouse runs at a perfect optimum with fixed capital in the form of inventory balanced perfectly with sales and purchasing, and all the items perfectly distributed to the various storage areas of the warehouse.

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Machine Learning in Demand Planning: How to Boost Forecasting

ToolsGroup

Beyond simply improving forecast accuracy, todays ML-powered demand forecasting software uncovers hidden supply trends, anticipates pricing fluctuations, and enables proactive supply chain planning decisions. According to McKinsey , organizations implementing AI-driven demand forecasting solutions can reduce forecast errors by 30% to 50%.

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Market Beat. Four Thumbs Down and One Thumb Up.

Supply Chain Shaman

Today, supply chain excellence matters more than ever. While the supply chain technology market lost its allure at the start of the last decade, it is now cool again. Leaders are starting to experiment with new technology approaches giving rise to new spending and interest by Venture Capitalists. Figure 1. The Market Response.