Food Delivery

On-demand food delivery is a rapidly expanding sector grappling with optimizing efficiency and fairness. Current research focuses on improving real-time order assignment and delivery route planning through advanced algorithms like spatio-temporal transformers, reinforcement learning, and large neighborhood search, often incorporating graph representations of delivery networks and integrating data on courier behavior. These efforts aim to minimize delivery times, reduce operational costs, and ensure equitable earnings for delivery workers, impacting both business profitability and worker well-being. Furthermore, research is exploring methods to improve customer satisfaction and predict click-through rates using sophisticated models that account for spatiotemporal variations in user preferences.