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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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?Best Practices to Improve OTR Transportation

GlobalTranz

Capturing carrier data gives you more visibility into your freight spend and enables you to make data-driven decisions that positively impact your business. Analytics provides visibility into your transportation network and operations. a shipment?doesn’t Harvard Business Review Analytic Services study?report

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No Time Like the Present

Supply Chain Shaman

On this tour, I heard Jeff Ma, a former member of the MIT blackjack team, speak on the use of analytics to make better decisions in “beating the house.” The outcomes are less predictable or clear. The larger the organization, the more tension with conflicting functional metrics making decisions more difficult.

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13 Important Roles of Data Analytics in Supply Chain Optimization

SCMDOJO

Supply chain optimization can achieve this with the help of data analytics. Data analytics helps businesses make data-driven decisions and initiatives. How does data analytics help supply chain optimization? Let’s explore the roles which data analytics play in this process. Why is it crucial? Download from the below link.

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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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From Predictions to Operations: Compelling Supply Chain AI Use Cases

ThroughPut

With rapid fluctuations and uncertainty, predicting customer demand is like shooting in the dark. With so many changing variables, excel sheets or human intervention alone can’t gain the level of visibility needed to forecast the future. You can comprehend market dynamics and shifting customer preferences in real-time.

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Connect Big Data with Predictive Analytics for Increased Visibility and Control Over Global Supply Chains

Supply Chain Network

percent per year, over 90% of the world’s trade is carried by sea for a total of 23 million tonnes of cargo traveling by ship every day. When it comes to examples of Predictive Analytics firms focused on supply chains Elementum and ClearMetal are just a couple that come to mind.