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Prescriptive Analytics for Supply Chain Optimization: 6 Powerful Use Cases 

ThroughPut

If there’s any piece of technology or analytics that can help with the most advanced data-driven decision-making in the supply chain right now, that’s prescriptive analytics. It is the most promising form of analytics in the market currently. What Is Prescriptive Analytics in Supply Chain? How should the supplier perform?

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Four Ways of Using Cluster Analysis in Retail Management to Improve Sales

Logistics Viewpoints

There is so much data, and to make use of it, we need to use data mining and analytics to drive meaningful insights that can be put to some good use. Now, we can do better than that by using advanced analytics, which can be extended to include more dimensions, such as trends, and provide further insights.

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Supply Chain Predictive Analytics: Benefits, Use Cases and Growth Potentials

ThroughPut

Thanks to the more advanced forms of supply chain analytics like predictive analytics, supply chains are proactively looking into the future and prepping for “what is to come” rather than only ruminating over “what already happened.” What Is Predictive Analytics for Supply Chain?

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Measuring Up?

Supply Chain Shaman

The supply chain is a complex system with finite, and non-linear relationships between supply chain metrics that drive balance sheet results. We find that companies can improve one, but not two of the metrics. Teams struggle to drive improvement in both metrics at the same time. A Look at History. Resiliency.

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A New Decade: Give Science A Chance

Supply Chain Shaman

Starting with apparel, let’s compare the two top performers –Nike and VF Corporation. Now is the time to build better using new forms of analytics to ground the supply chain in data to unleash the promise of the Art of the Possible. Days of Inventory Comparison. Relative Importance of Supply Chain Skills.

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Top 6 Retail Trends & Supply Chain Planning Challenges in 2023

Logistics Viewpoints

And future supply chains will rely on effective data collection, advanced analytics, automation, and control towers augmented with AI/ML technology. Digital Transformation and Autonomous Planning in Supply Chain In 2023, fast decision-making is crucial. in 2021 compared to the year before.

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Making Supply Chain Planning Agile With Modular Planning Technologies

Logistics Viewpoints

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. We need planning platforms to keep up with all the changes.