Authors: Sharayu Anap, Divyanshu Rajhans, Atharva Naik, Srividhya Achanta, Vedant Jadhav
Abstract: The global logistics and transportation industry faces persistent challenges related to inefficient container utilization, manual space booking, and communication delays among stakeholders. The proposed system, Smart Shared Container Space Management Platform with AI-Based Container Matching and Real-Time Booking System, addresses these issues through an integrated, cloud-enabled digital platform that connects Container Providers and Traders in a shared, intelligent ecosystem. The platform leverages Artificial Intelligence (AI) for smart container- space recommendations, enabling efficient matchmaking based on trader requirements such as size, cost, duration, and proximity. The system ensures seamless, real-time operations through automated booking workflows, live availability tracking, and AI-assisted approvals—monitored via a centralized Admin Dashboard. Developed using a modern web technology stack, the system employs Next.js / React for an interactive frontend, Supabase for structured data storage, and Firebase for authentication and real-time synchronization. The AI chatbot is powered by the OpenAI API (or a custom GPT endpoint), providing users with intelligent assistance for queries and bookings. Tailwind CSS and ShadCN UI deliver a clean, responsive, and modern interface, while payment modules such as Stripe or Razorpay enable secure transaction processing. By integrating AI intelligence, automation, and real-time cloud connectivity, the proposed platform significantly enhances container space utilization, reduces idle storage time, and improves coordination between traders and providers. This system sets the foundation for a next-generation logistics management ecosystem that is scalable, data-driven, and powered by intelligent automation.
