Amidst the expansion of fresh e-commerce, the front warehouse model has risen, praised for its prompt delivery and superior products. However, escalating operational costs have led to losses and closures across various firms, making cost reduction and efficiency crucial for sustainability. Concurrently, as unmanned logistics advances, the advantages of unmanned vehicles become evident. This paper introduces a dual-objective optimization model for unmanned and electric vehicles’ scheduling, focusing on minimizing costs and delivery times. Utilizing the NSGA-II algorithm for three customer distribution scenarios, it examines vehicle speed and compensation ratio impacts. The findings provide strategic guidance for companies at different growth stages.