Causal Data Science in Retail - Understanding Supply Chain and Customer Behavior

Explore the application of causal data science in retail through this 58-minute conference talk presented by Behzad Bordbar and Dipankar Nath from M&S at the Data Science Festival. Delve into the complexities of understanding supply chain dynamics, customer behavior, and the impact of offers and promotions in large retail organizations. Learn how M&S combines machine learning with causal inference to answer crucial "why" and "what-if" questions, enabling more informed decision-making. Discover real-world examples of causal inference and Bayesian techniques applied in the retail sector, providing valuable insights for data scientists and retail professionals alike.