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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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Supply Chain KPIs & Metrics: Our Top 24 for Manufacturers

Silvon Software

In fact, such KPIs are so crucial right now that the supply chain analytics market is expected to reach nearly $17 billion by 2027 as companies ramp up their supply chain performance management initiatives. Supply chain metrics provide the intelligence needed to make better projections and more informed choices in such a market.

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Asking the Right Questions Is The First Step To Drive Supply Chain Excellence

Supply Chain Shaman

Using balance sheet data from 2011 to 2019, we chart companies’ progress by peer group on rate of improvement and performance in the metrics of growth, operating margin, inventory turns, and Return on Invested Capital (ROIC). We share the report to help companies benchmark and reflect. Leaders put meaning into their strategies.

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How Do You Turn Supply Chain Data Into Actionable Information?

Logility

You’re committed to rolling out an analytics platform across your supply chain and you have tons of data. There are many ways to view data, but those that are particularly useful in supply chain analytics are reporting, score carding, dashboarding and benchmarking. Benchmarking. Advanced Analytics.

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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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The Power of the Network: ERP vs. Spend Management

Logistics Viewpoints

MSCN solutions provide supply chain visibility, network-based applications, and network analytics across an extended supply chain. Networks have distinctive advantages when it comes to supplier onboarding, communication, partner management, and being able to provide unique analytics. Networks and Benchmarking.

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The Top Five Benefits of Using Machine Learning for Demand Forecasting

Logility

Machine Learning for demand forecasting has matured to a level of accuracy, transparency and replicability that translates into transformative results, including in these five areas: Accuracy, transparency, thoroughness of analytical options and results. Analytical processing speed and accelerated corporate learning.