iFood AI Restaurant and Menu Recommendation Engine

iFood's recommendation system uses collaborative filtering and deep learning to personalize restaurant and menu item suggestions for each of its 50 million monthly active users. The AI considers user past orders, browsing behavior, time of day, location, weather conditions, and preferences to rank and display relevant restaurants and dishes. The recommendation engine has increased average order value by 18% and improved customer retention by 22%. iFood also uses AI to optimize restaurant positioning in search results, balancing relevance to individual users with fair exposure for restaurant partners.