UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 10 | October 2025

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Published in:

Volume 12 Issue 7
July-2025
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2507631


Registration ID:
567165

Page Number

g177-g187

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Title

SMART WAREHOUSE LOGISTICS: ROBOTIC NAVIGATION WITH IMAGE PROCESSING AND FULL-STACK E-COMMERCE PLATFORM

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.

Key Words

Ant Colony Algorithm, Particle Swarm Optimization, Lean Six Sigma, GIS, MERN stack, Generative AI.

Cite This Article

"SMART WAREHOUSE LOGISTICS: ROBOTIC NAVIGATION WITH IMAGE PROCESSING AND FULL-STACK E-COMMERCE PLATFORM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 7, page no.g177-g187, July-2025, Available :http://www.jetir.org/papers/JETIR2507631.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"SMART WAREHOUSE LOGISTICS: ROBOTIC NAVIGATION WITH IMAGE PROCESSING AND FULL-STACK E-COMMERCE PLATFORM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 7, page no. ppg177-g187, July-2025, Available at : http://www.jetir.org/papers/JETIR2507631.pdf

Publication Details

Published Paper ID: JETIR2507631
Registration ID: 567165
Published In: Volume 12 | Issue 7 | Year July-2025
DOI (Digital Object Identifier):
Page No: g177-g187
Country: Bengaluru, Karnataka, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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