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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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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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2022 Realities vs 2023 Predictions

The Logistics & Supply Chain Management Society

2022 Realities vs 2023 Predictions. The tight capacity and shipping downtime can increase rates and severely disrupt freight flow for months. Logistics teams simply don’t have the resources or time to keep up with constantly changing weather patterns and how they will impact their supply chains.

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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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Five Advanced Technologies That Are Revolutionizing Logistics

Logistics Viewpoints

Already upended for two years by the COVID-19 pandemic, the worldwide logistics industry is facing new challenges. The energy crisis in China and the European conflict are bringing additional chaos in the form of production shutdowns, raw material shortages and blocked shipping lanes.

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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

A report by McKinsey shows that early adopters of AI in the supply chain have improved their inventory levels by 35%, reduced logistics costs by 15%, and enhanced service levels by 65%, vis-a-vis competitors who were slow to embrace AI. With rapid fluctuations and uncertainty, predicting customer demand is like shooting in the dark.