iFood AI Route Optimization Reducing Delivery Time by 25%

iFood uses machine learning algorithms to optimize delivery routes for its network of over 100,000 delivery riders in Brazil. The AI system considers real-time traffic conditions, weather, restaurant preparation times, rider location and historical speed, and order clustering to generate optimal assignment and routing decisions. The system reduces average delivery time by approximately 25% and increases rider earnings efficiency by 30%. iFood's route optimization AI processes over 2 million route calculations daily and adapts continuously to changing urban conditions across more than 1,000 cities.