This research investigates the issues encountered by Swiggy, a prominent food delivery platform in India, in the final leg of delivery as perceived by its clients and delivery associates. The research design followed a quantitative approach, utilizing a survey questionnaire to obtain data from Swiggy's customers and delivery partners. The questionnaire contained fixed-response questions to gauge customer contentment levels, delivery speed, and other variables that affect the last mile delivery process. The questionnaire also included open-response questions to enable participants to provide detailed feedback on their experiences and suggest potential enhancements to Swiggy's last mile delivery system. Statistical analysis tools such as descriptive statistics, Chi square analysis, and ANOVA analysis were employed to analyze the data. The results indicate that Swiggy confronts issues such as late deliveries, incorrect orders, and unresponsive customer service. The research also proposes solutions to overcome these hurdles and improve Swiggy's last mile delivery process, such as enhancing order accuracy, investing in technology, and improving communication channels between stakeholders. The study's findings offer valuable insights for Swiggy and other food delivery companies to optimize their last mile delivery processes, cut costs, and improve customer satisfaction