Application of AI-Powered Dynamic Route Optimization in Last-Mile Delivery: A Study of Flipkart Logistics

Abstract- The study covers how Flipkart used AI-based dynamic route optimization in its last-mile delivery business in the Indian e-commerce market that is expanding fast. Based on a mixed-method, the investigation involves the analysis of quantitative indicators of logistics staffing and operational parameters to determine the success in increasing the delivery speed, cost-effectiveness, and customer satisfaction. The results demonstrate that the AI application has a great effect on the route flexibility, shortening the delivery time through optimization of real-time traffic and delivery situations, as well as decreasing the costs of operation in terms of fuel consumption and human resources. According to the determined challenges, including system reliability and training levels, despite the prominent advantages, the benefits of AI use are highly dependent on the human-technology synergy. With its useful suggestions on how to enhance AI systems and labor preparedness, the research will add significant value to the innovation of logistics in new markets and create the basis of further investigation in the field of AI-powered supply chain management. Keywords- AI-powered route optimization, last-mile delivery, Flipkart logistics, e-commerce supply chain, delivery efficiency, cost reduction, dynamic routing, India