Prachi Khosla
Abstract:
This paper explores the evolving role of artificial intelligence in optimizing India’s logistics networks, with a focus on how recent government policies and technological innovations are driving this transformation. The National Logistics Policy and initiatives like PM Gati Shakti, Unified Logistics Interface Platform, and the Open Network for Digital Commerce are fostering digital integration and efficiency across a historically fragmented sector. The paper examines AI applications such as predictive analytics, smart warehousing, route optimization, real-time tracking, and last-mile delivery, highlighting their contributions to reducing costs, improving delivery times, and enhancing customer experience. It also reviews the contributions of leading firms and startups, including Delhivery, Shadowfax, Rivigo, Zomato, Swiggy, LogiNext, Locus, and ElasticRun. Despite the potential, the adoption of AI in Indian logistics faces significant challenges, including high costs, regulatory hurdles, infrastructure deficits, cybersecurity risks, and workforce readiness. The paper discusses these challenges and emphasizes the need for collaborative platforms, targeted policy support, and ethical practices to ensure AI fosters inclusive and sustainable growth in India’s logistics sector.
