Last-mile delivery has become a critical driver of operational efficiency, customer satisfaction, and competitive advantage in the rapidly growing Indian e-commerce logistics sector. Despite significant investments in route planning systems, workforce development, and technology platforms, many logistics companies continue to struggle with high average delivery times per waybill. This study addresses the research problem of understanding the key factors influencing average delivery time per waybill in last-mile delivery operations. The primary objective of the study is to examine the influence of route optimisation, workforce management, and technology integration on average delivery time per waybill. A quantitative research design was adopted, and primary data was collected from 50 respondents using a structured questionnaire. The data was analysed using IBM SPSS Statistics, employing reliability analysis, Pearson correlation, multiple linear regression, and chi-square test to examine relationships and group differences. The findings reveal that route optimisation and workforce management are the most significant predictors of delivery time performance. The regression model explained 62.2 percent of the variance in average delivery time per waybill. Technology integration, while positively correlated, did not emerge as an independent significant predictor in the presence of the other variables. The study concludes that upgrading route planning systems, strengthening workforce training, and improving incentive structures are the primary strategies for reducing average delivery time per waybill in urban last-mile logistics operations.