The Impact of Smart Warehousing and Last-Mile Delivery on E-commerce Supply Chain Performance: An Empirical Study Using Machine Learning-Enhanced SEM Analysis

This study investigates the pivotal roles of smart warehousing and last-mile delivery in enhancing e-commerce supply chain performance, utilizing advanced machine learning-enhanced Structural Equation Modeling (SEM) for analysis. The findings reveal that the effective integration of smart warehousing solutions significantly improves operational efficiencies in inventory management, order fulfillment, and logistics responsiveness. Moreover, optimizing last-mile delivery emerges as a critical factor directly influencing customer satisfaction and competitive advantage within the digital marketplace. The study highlights practical implications for e-commerce practitioners, emphasizing the necessity for investments in innovative technologies and the development of strategic partnerships to optimize logistics processes. Additionally, this research encourages scholars to further explore the intersection of intelligent logistics solutions and supply chain performance through longitudinal studies and diverse methodological approaches. Ultimately, this research contributes to the understanding of supply chain dynamics in e-commerce and serves as a foundation for future inquiries into enhancing performance through the strategic deployment of advanced technologies.