This research scrutinizes the disruptive influence of digital commerce platforms on the fresh fruit export trade originating from the Pune district, focusing on the high-value commodities of Grapes and Pomegranates. Intelligent traffic management systems are increasingly required to address severe congestion in rapidly growing urban areas. Conventional fixed-time traffic signals often cause inefficiencies, including long waiting times and traffic jams at busy intersections. This study proposes an AI-driven traffic light management system using YOLO-based vehicle detection and dynamic signal control. Real-time images from IP cameras are processed to estimate vehicle density across multiple lanes. Based on traffic conditions, signal timings are adaptively adjusted to prioritize highly congested lanes while maintaining fair signal distribution. The system is fully software-based and implemented using Python, OpenCV, and Ultra lytic YOLO. Experimental results indicate improved traffic flow efficiency compared to traditional static traffic signal systems.