Causal Data Science in Retail by Behzad Bordbar & Dipankar Nath from M&S

Understanding the supply chain, customer behaviour and effect of offer/promotion in a large retail organisation such as M&S is a non-trivial task. Identifying the causal impact of one set of actions on another is an essential task in decision-making. In M&S, we use machine learning in conjunction with causal inference to answer the “why” and “what-if” questions. In this talk, we will discuss samples of the use of causal inference and application of Bayesian techniques in M&S.


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