Abstract
The exponential growth of e-commerce has placed immense pressure on logistics systems to become faster, more accurate, and more intelligent. In this evolving domain, smart warehouses are emerging as critical infrastructural components for enabling efficient storage, retrieval, and dispatch of goods. This project focuses on Smart Warehouse Logistics, combining robotic navigation, image processing, and a full-stack e-commerce platform to revolutionize traditional warehouse systems. By integrating Lean Six Sigma principles with IoT-enabled robotics, the system aims to optimize package sorting, pathfinding, and inventory management. The system aims to streamline operations both within the warehouse and beyond, using macro-logistics and GIS-based navigation for last-mile delivery support. Current logistics systems suffer from manual warehouse operations, delayed order fulfillment, and poor integration with e-commerce platforms. These gaps lead to high costs, inefficient delivery, and limited adaptability, demanding a smarter, real-time automated solution. This project aims to automate warehouse navigation and package sorting using robotics, Image Processing, and hybrid Ant Colony–PSO algorithms for smart delivery. Lean Six Sigma tools help streamline operations and enhance process quality. A MERN-based e-commerce platform ensures smooth user experience and admin control, while Generative AI powers personalized shopping through chatbots and recommendations. The proposed system demonstrates improved warehouse efficiency through automated sorting, reduced human intervention, and real-time inventory synchronization. With its integrated design and intelligent features, the system shows strong potential for scalable, next-generation logistics and retail applications.