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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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2024 Predictions for Industry and Global Supply Chains- Prediction Five

Supply Chain Matters

The Ferrari Consulting and Research Group through its affiliate the Supply Chain Matters blog shares excerpts of our fifth prediction that will be included in our Annual 2024 Predictions for Industry and Global Supply Chains Research Advisory. In this posting, we share excerpts of our fifth prediction.

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Robots Take Center Stage at MODEX 2024

Logistics Viewpoints

Some of the applications of AI and ML in supply chain robotics include vision systems, natural language processing, predictive analytics, and reinforcement learning. Predictive Analytics Predictive analytics is the use of AI and ML to analyze data and make predictions about future outcomes, events, or behaviors.

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Big Data, Analytics, and Industry 4.0

Enterra Insights

He observes, “For many manufacturing and supply chain organizations, the Covid-19 pandemic highlighted multiple shortcomings in their data management strategies. ” Data and Advanced Analytics in Industry 4.0 Industry 4.0 revolution. In fact, it already is.” begins with connectivity.

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Advanced Analytics Are Everywhere!

Logility

Analytics are literally everywhere. Open any supply chain periodical, blog, or report and chances there is a discussion around the importance of analytics. An important goal of a supply chain analytics initiative is to enable better business decisions that improve operating results and allow you to be more responsive to customer needs.

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Using Analytics To Address Supply Chain Challenges

Silvon Software

To address these issues, manufacturers and distributors are focusing more on the use of data analytics to help them make more strategic decisions related to supply chain performance. But how can organizations best use data analytics to enhance their supply chain management efforts?

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Advanced Analytics Are Everywhere!

Logility

Analytics are literally everywhere. Open any supply chain periodical, blog, or report and chances there is a discussion around the importance of analytics. An important goal of a supply chain analytics initiative is to enable better business decisions that improve operating results and allow you to be more responsive to customer needs.