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How Can You Improve Value in Your Supply Chain?

Supply Chain Shaman

Each supply chain planning technology at the end of 2024, went through disruption–change in CEO, business model shift, layoffs, re-platforming and acquisitions. Sorting through this to make a decision on a new planning solution at this time is tough. At the top of the model is a balanced scorecard. My advice?

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Probabilistic Forecasting: The Future of Supply Chain Planning

ToolsGroup

Probabilistic forecasting is revolutionizing demand forecasting, supply planning, and inventory optimization by significantly improving forecast accuracy and decision-making across distribution networks. However, this approach ignores real purchasing behavior, such as customers buying complete sets of four tires. The result?

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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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The Supply Chain Merry-Go-Around

Supply Chain Shaman

Aptean is orchestrating the Blue Yonder/E2open/Infor playbook of buying undervalued assets and milking the maintenance and Software-as-a-Service contracts with existing customers. In contrast, Blue Yonder is investing $1 billion over three years in the platform for their solutions. The models are just too different.)

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Step Past AI Hype Drive Real Value

Supply Chain Shaman

Venture capitalists are high on Artificial Intelligence (AI), and over-exuberant professors with shiny new models are jockeying into position to get rich. Building a software company is hard work. Most of the business networks were hollowed out by venture capitalists or purchased by opportunists. Ask for use cases.

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Optimizing Supply Chain Transparency with Digital Product Passports

Logistics Viewpoints

As a result, DPPs are emerging as a straightforward, common sense solution for meeting these needs efficiently. AI and machine learning tools identify patterns, predict issues, and suggest ways to optimize operations. Overall, AI ensures that DPPs are not just a fixed record but an active tool for improving performance.

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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%.