How McDonald's Uses Machine Learning to Optimize Restaurant Site Selection

Discover how McDonald's leverages machine learning techniques to optimize restaurant site selection in this 35-minute conference talk. Explore the key strategic initiative of restaurant development expansion and learn about the ML methods employed to support decision-making for new locations. Gain insights into the business use case, the specific techniques utilized, and how the Databricks Platform, including Databricks Marketplace, enhances the workflow on a global scale. Understand the business outcomes driven by this approach as presented by Kurt Schuepfer and Patrick Wilkins, Senior Managers of Data Science at McDonald's. Delve into the intersection of data science and strategic business expansion in the fast-food industry.

How McDonalds Uses ML to Optimize Restaurant Site Selection