Delivery Marketplace ML Applications Questions

Machine learning use cases common to on-demand delivery marketplaces, covering demand forecasting, driver/courier dispatch and routing, pricing and revenue optimization, recommendations, fraud detection, and real-time optimization. Includes model development, deployment, monitoring, drift handling, and scalability considerations for ML systems operating in a high-velocity, two-sided marketplace.