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Supply Chain Analytics: Benefits, Challenges & Architecture

SCMDOJO

Luckily, supply chain analytics is here to help! By harnessing the power of data and analytics, companies can uncover valuable insights into their supply chain processes, pinpoint areas in need of improvement, and make informed decisions that can boost their bottom line. Key Takeaways What is Supply Chain Analytics?

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Using Analytics To Address Supply Chain Challenges

Silvon Software

To address these issues, manufacturers and distributors are focusing more on the use of data analytics to help them make more strategic decisions related to supply chain performance. But how can organizations best use data analytics to enhance their supply chain management efforts? Make supply chain analytics broadly available.

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Podcast: Predictive Analytics and Digital Transformation Pioneer Knut Alicke

Requis

He is based in Germany, and, as a founding partner of the supply chain practice at McKinsey & Company , consults on a variety of supply chain-related business problems, including S&OP and advanced analytics. Today we would use demand sensing, machine learning (ML), and other tools to predict demand. Yes, that’s fair.

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5 Demand Planning and Forecasting Methods that Accurately Predict Demand

ThroughPut

Demand forecasting is the process of predicting future demand for a product or service, which helps businesses plan and allocate resources effectively. By accurately predicting future demand, businesses can better prepare for potential disruptions, such as supply chain disruptions, natural disasters, or changes in consumer behavior.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics. But today, dashboards and visualizations have become table stakes.

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The Promise and Peril of Generative AI for Supply Chains

Logistics Viewpoints

The first use case is MIT professor Yossi Sheffi’s idea for using generative AI to monitor all possible sources of risk for a given supplier to mitigate any disruptions. As the economist trio of Agrawal, Gans, and Goldfarb explain , AI makes predictions, which are inputs into decisions.

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5 Signs You Need Advanced Supply Chain Analytics to Make Better Last-Mile Decisions

Locus

As the American baseball league is about to begin, let us remind ourselves of the one book that transformed baseball, sports, and even business management in the past two decades, “The Art of Winning an Unfair Game” by Michael Lewis. You can easily relate to the movie that was inspired by this book- Moneyball. And the numbers prove it.