Artificial Intelligence (AI) and the Internet of Things (IoT) are playing pivotal roles in transforming India’s logistics landscape, enabling predictive analytics, route optimization, and warehouse efficiency. National initiatives are promoting automation, but high implementation costs and a shortage of skilled professionals remain barriers, especially for smaller logistics firms. IoT is significantly enhancing real-time tracking, fleet management, and theft prevention. However, poor digital infrastructure and weak connectivity in rural regions continue to hinder widespread adoption. A positive development is the integration of FOIS systems with Logistics Data Banks (LDBs) via APIs into ERPs, providing real-time insights for critical shipments. One of the major hurdles in achieving true multimodal logistics is data sharing and interoperability between freight modes, which operate under different regulatory frameworks and insurance standards. While Multi-Modal Transport Operator (MTO) licenses help streamline operations,