Feature Engineering and Modeling Techniques for Menu Design at HelloFresh

Explore how HelloFresh utilizes advanced data analytics and machine learning techniques to optimize their menu design process in this insightful 43-minute conference talk from the Toronto Machine Learning Series. Delve into the challenges of creating personalized, on-demand meal solutions while balancing customer preferences, operational efficiencies, and supply chain feasibility. Learn about the innovative approach to understanding customer preferences through feature engineering and classification models that predict individual recipe scores and overall menu performance. Discover how these data-driven methods minimize trial and error for the culinary team and align product design with customer acquisition and growth strategies. Gain valuable insights from Delina Ivanova, Senior Manager of Data, Analytics & Insights at HelloFresh Canada, as she shares her expertise in leveraging data analytics to improve decision-making in revenue growth and cost management across various business functions.

How HelloFresh Leverages Feature Engineering and Modelling Techniques to Inform Menu Design