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Staying Ahead with Advanced Analytics in Supply Chain Management

Logility

With improving machine learning and artificial intelligence capabilities, advanced analytics are shifting, becoming a more attractive option to leaders across industries. But how can you incorporate advanced analytics into your supply chain flow? What Are Advanced Analytics? What Are the Benefits of Advanced Analytics?

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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. For me, there is no time like the present. Investments in Data-Driven Capabilities May Not Yield Better Decisions. Closed Loop.

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Is it too Early For 2022 Predictions?

Logistics Viewpoints

With Christmas goods in stores before Halloween this year, I thought there was no reason that we shouldn’t also get a jump on 2022 predictions. It also presents an excellent opportunity for supply chain and logistics professionals to raise the visibility and value of supply chain strategies and operations.

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Predictive Analytics and Future Supply Chains

Enterra Insights

That’s why spending on supply chain advanced analytics is on the rise. Analysts from River Logic write, “The importance of supply chain analytics is demonstrated by predictions that the market will grow at a CAGR of 17.3% ” Understanding the numbers requires more than analyzing past and present performance.

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The Essential Guide to Analytic Applications

Embedding dashboards, reports and analytics in your application presents unique opportunities and poses unique challenges. We interviewed 16 experts across business intelligence, UI/UX, security and more to find out what it takes to build an application with analytics at its core.

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What Are Supply Chain Predictive Analytics?

Intelligent Audit

There is a lot of talk within the supply chain industry regarding the value supply chain predictive analytics. 1 talent challenge, indicating that these existing supply chain resources are not equipped with the required technical and analytical skillsets to deliver digital and analytics initiatives successfully.”

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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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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.