Rappi AI Courier Dispatch System Reducing Delivery Time by 22%

Rappi uses reinforcement learning algorithms to optimize courier assignment and delivery routing across its delivery network in Mexico, Colombia, Brazil, Argentina, and Chile. The AI considers real-time courier locations, order clustering, delivery time windows, traffic conditions, and individual courier performance to make optimal assignment decisions. The system processes over 3 million delivery requests weekly and has reduced average delivery time by 22% since deployment. Rappi's dispatch AI also optimizes multi-order batching, allowing a single courier to handle multiple simultaneous deliveries, increasing courier earnings efficiency by 35%.