The Application of Mobile Location Data for Vending Machine Site Selection and Revenue Optimization

Explore an innovative approach to optimizing vending machine placement using mobility data in this 35-minute conference talk from the Toronto Machine Learning Series. Learn how Coca-Cola leverages detailed foot traffic information to maximize ROI for their 10,000+ vending machines across Canada. Discover the algorithms and tech stack used to analyze the differences between high-performing and underperforming machines at scale. Gain insights into how mobility data can be applied to understand customer behavior and optimize machine locations for increased revenue. Presented by Nikita Medvedev, Director of Advanced Analytics, and Winston Li, Founder of Coca Cola & Arima, this talk offers valuable insights for businesses looking to enhance their vending machine strategies through data-driven decision-making.

The Application of Mobile Location Data for Vending Machine Site Selection and Revenue Optimization