Meal Delivery

Meal delivery services are experiencing rapid growth, prompting research into optimizing various aspects of the system. Current research focuses on improving efficiency through advanced routing algorithms (like GRASP metaheuristics) and intelligent order allocation, particularly within the context of centralized "ghost kitchens" that consolidate food preparation. These efforts leverage machine learning and optimization techniques to minimize delivery times, maximize order fulfillment, and predict driver behavior, ultimately aiming to enhance customer satisfaction and platform profitability. The resulting improvements in logistics and operational efficiency have significant implications for both the food service industry and the broader field of last-mile delivery optimization.