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This is another Ask Accelytics Expert Panel Session on Supply Chain. In today's episode, our expert panel discusses the topic: understanding and leveraging statistics in supply chain planning. 🔮 Bayesian Theory: First, our experts discuss the Bayesian Theory, in which is the foundation of mathematical algorithms used today. You'll learn how this statistical approach enhances decision-making by incorporating prior knowledge and updating probabilities as new information emerges. 🚪 Monty Hall Theory: Ever thought a game show concept could impact supply chain? Next, we use "Let's Make a Deal", to illustrate statistical scenarios and probabilities. 📈 Statistical Modeling in Anaplan: Our supply chain panel shares their insights and expertise on statistical modeling, hierarchical delineations, data granularity, maximizing forecast accuracy, demand planning, selecting the right algorithms and more. They detail how Anaplan is used in a supply chain capacity to improve accuracy. 📊 Anaplan: Learn more about Anaplan's statistical modeling capabilities and algorithms. The team shares their real-life project examples and implementation highlights from other supply chain projects. Key topics in this video: statistical forecasting, statistical modeling, statistical algorithms, Anaplan, Demand Planning, Bayesian Theory, Monty Hall Theory, demand planning in Anaplan, statistical capabilities in Anaplan, demand forecast, forecast accuracy Learn more about Accelytics and our supply chain planning solutions at www.accelytics.com