Optimizing Food Delivery Efficiency: The Impact of Order Aggregation and Courier Assignment Strategies

The increasing demand for food delivery services necessitates optimizing courier efficiency to maintain service quality and cost-effectiveness. This study investigates the impact of order aggregation and courier assignment strategies on food delivery performance. We explore various order aggregation methods, including KMeans and DBSCAN clustering, and compare them with different courier assignment approaches, such as first-in-first-out and nearest courier selection. Through experiments on both synthetic and real-world data, we demonstrate that order aggregation, particularly when combined with the nearest courier approach, significantly reduces delivery times and courier travel distances, especially under high order volumes. Our findings provide valuable insights for food delivery platforms seeking to optimize their operations and enhance customer satisfaction.