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Every enterprise regularly makes important financial decisions about how to allocate resources and plan its inventory. It could be servers running in the cloud, inventory in a warehouse, or potential attendance at an upcoming event. All of these choices are crucial for survival, and many of them greatly benefit from a quantitative approach.

This talk is about how to apply the foundations of quantitative modeling to its most relevant real world use case: inventory and supply chain management.

Discussed topics will include the foundational techniques that are often used, common assumptions that fail in the real world, and the latest advances in the field of supply chain management and optimization. Talk will be given with numerous real world examples with a strong emphasis on best practices.

Related topics

Machine Learning
Data Analytics
Data Science
Applied Statistics
Statistical Science

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