One of the most important and difficult parts of contemporary logistics is last-mile delivery, which calls for creative and sustainable solutions to reduce its negative effects on the environment and improve productivity. A new Mixed Integer Linear Programming (MILP) model for the Alternative-Fuel Vehicle Routing Problem (AF-VRP), which aims to maximize the utilization of AFVs in last-mile delivery, is presented in this study to solve these issues. The suggested model takes into consideration important limitations including energy usage, charging periods, and pressure on Alternative Fueling Stations (AFS) while minimizing travel distance and system costs. This strategy dramatically lowers greenhouse gas (GHG) emissions by incorporating AFVs into fleet operations, which helps to make the logistics sector greener and more effective. The report highlights the significance of investing in green technology, embracing the circular economy, and collaborating with the private sector in order to tackle these problems. This study offers a thorough framework for creating sustainable last-mile delivery systems that satisfy urbanization demands while reducing environmental impact by fusing the AF-VRP model with various creative tactics.