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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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Navigating the Future: How Advanced Supply Chain Analytics is Transforming the Industry

ThroughPut

is advanced supply chain analytics. Advanced supply chain analytics is turning the current uncertainty into strategic foresight. In this blog, we’ll delve deeper into the potential of advanced supply chain analytics and understand why it is the need of the hour.

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Digital Transformation in Logistics

Logistics Viewpoints

Most recently, the APQC has conducted best practice and benchmarking research on digital transformation. This report provides a cross-industry perspective on digital transformation in logistics including digital maturity in inventory management, transportation, fleet maintenance, safety and compliance, and more.

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The Power of Predictive Analytics

E2open

The Power of Predictive Analytics. The use of predictive analytics is rising. According to KPMG’s 2016 Global Consumer Executive Top of Mind Survey , the use of predictive analytics will double by 2018, with 46% of companies planning to use advanced analytics to sense and shape demand within the next two years.

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The Power of Predictive Analytics

E2open

The Power of Predictive Analytics. According to KPMG’s 2016 Global Consumer Executive Top of Mind Survey , the use of predictive analytics will double by 2018, with 46% of companies planning to use advanced analytics to sense and shape demand within the next two years. Tuesday 30 August 2016.

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Causal Artificial Intelligence and Supply Chain Performance

Enterra Insights

With the maturation of artificial intelligence (AI) systems, predictive analytics have grown in importance. The difference between traditional forecasting and predictive analytics is granularity. And computers can use those patterns to make predictions — for instance, that a spot on a lung X-ray indicates a tumor.

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Do You Really Understand What’s Driving Your Demand Planning Processes?

Logility

Descriptive, predictive and prescriptive analytics should be combined to optimize your demand planning processes. To really exploit your new data to gain an advantage, you need a clear analytical plan, specific metrics tailored to your situation, and an understanding of what analytics and reporting will help you the best.