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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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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.

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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.

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Making Supply Chain Planning Agile With Modular Planning Technologies

Logistics Viewpoints

We need planning platforms to keep up with all the changes. This means we need more agile, flexible, and scalable planning platforms to process and consolidate new data sources, drive insights using advanced analytics such as AI/ML to drive autonomous decisions, and expand collaboration within and outside our organizations.

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Pandemic Lessons For Supply Chain Leaders

Supply Chain Shaman

The systems–based on shipment and order data–were out of step with the market. With fixed models and hard-wired data feeds, teams could not adjust the planning systems to use consumption data or market indicators. Next Steps: Start to model demand based on market data to align the organization on baseline demand.