This systematic literature review examines 61 studies that focus on enhancing last-mile delivery efficiency through the integration of connected vehicle technology, infrastructure, and collaborative logistics. Over the past two decades, intensified global competition due to globalization, the COVID-19 pandemic, and sustainability challenges has underscored the importance of efficient last-mile delivery for maintaining competitive and sustainable supply chains. To address these challenges, many organizations have adopted logistic collaboration strategies to share resources, reduce transport costs, lower CO2 emissions, alleviate traffic congestion, and reduce accidents. The review is motivated by the need to enhance supply chain resilience and sustainability in response to increasing environmental concerns, regulatory pressures, and the demand for reliable last-mile delivery systems. It identifies key trends such as mathematical modeling, simulation techniques, optimization algorithms, machine learning, and predictive analytics, which are crucial for improving delivery performance. Connected vehicle technologies play a central role in this context, enabling real-time data sharing, optimizing delivery routes, and reducing travel times. Sustainability is a recurring theme, with numerous studies focusing on lifecycle analyses and environmental impact assessments to gauge the broader implications of last-mile delivery processes. This review highlights the importance of advanced simulation tools for traffic management and the role of collaborative logistics strategies in overcoming last-mile delivery challenges. It provides a comprehensive foundation for future research and developments aimed at optimizing the efficiency, sustainability, and resilience of last-mile delivery systems.