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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

Managing OTR transportation through disruption is a complex process. We’re sharing seven best practices to improve OTR transportation management, enabling shippers to stay competitive in the face of disruption. Analytics provides visibility into your transportation network and operations. Across OTR Transportation Modes.

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10 Must-Read Supply Chain Analytics Books for 2023

SCMDOJO

If you want to gain more supply chain analytics knowledge, you’re in the right place. We’ve compiled a list of 10 great supply chain analytics books to help you better understand the concepts and strategies behind this vital business field.

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2022 Realities vs 2023 Predictions

The Logistics & Supply Chain Management Society

2022 Realities vs 2023 Predictions. As it takes time for shipping to reset back to ordinary capacity levels and flows, this change impacts rates, and can also influence other supply chain decisions where transportation rates and on-time performance play a major role. by John Lash , Group Vice President, Product Marketing, E2open.

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Four Ways a TMS Solution Leverages Predictive Analytics

Supply Chain Collaborator

TMS users in transportation logistics organizations are sitting atop a gold mine of actionable data captured by their TMS solutions. The shrewd operators are leveraging these data to support predictive analyses with the goal of achieving more accurate planning and execution of logistics as product moves through their supply chain.

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Track the Supply Chain Metrics that Really Matter

Precoro

To monitor supply chain performance, stakeholders of successful companies typically define supply chain metrics that are relevant to the given business and track these KPIs regularly. By setting benchmarks for metrics, analysts can recognize unsettling trends and take preventive measures on time.

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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. Leveraging AI for demand forecasting means: You can analyze any amount of historical data and current trends from external sources to predict future demands more accurately. You can identify near-term market shifts with greater precision.