SESSION

How McDonalds Uses ML to Optimize Restaurant Site Selection

OVERVIEW

EXPERIENCEIn Person
TYPEBreakout
TRACKData Science and Machine Learning
INDUSTRYRetail and CPG - Food
TECHNOLOGIESAI/Machine Learning, Marketplace
SKILL LEVELBeginner
DURATION40 min

Expansion of restaurant development is a key strategic initiative for McDonald's over the near term. This session discusses ML techniques used to support decision-making around new site selection. We highlight the business use case, the techniques we used, how we were able to leverage Databricks Platform (including Databricks Marketplace) to enhance the workflow at a global scale, and ultimately, the business outcomes it drove.

SESSION SPEAKERS

Kurt Schuepfer

/Sr. Manager, Data Science
McDonald's

Patrick Wilkins

/Senior Manager, Data Science
McDonald's