International Journal on Science and Technology

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VyaaparNetra: Visual Language Inventory Management System

Author(s) K Manushresth, G Dhanush Kumar, Pratham Verma
Country India
Abstract VyapaarNetra is an AI-powered Visual Language Inventory Management System that uses computer vision and deep learning to track inventory in real-time. It aims to reduce errors and improve efficiency compared to traditional methods. It is suited for retail, warehousing, and manufacturing, offering an intuitive, scalable solution with 85% accuracy in brand recognition. By integrating AI-powered surveillance with natural language processing, VyapaarNetra offers an intuitive and highly scalable solution that adapts to dynamic inventory environments. Additionally, its multimodal AI capabilities allow seamless querying of inventory data using natural language, bridging the gap between human interaction and automated analytics. With an accuracy rate of 85% in brand recognition and real-time tracking, VyapaarNetra represents a breakthrough in AI-driven inventory solutions. The research further compares the system’s performance with industry benchmarks, demonstrating its potential for improving operational workflows, reducing costs, and enhancing decision-making in inventory management.
Keywords Inventory Management, Artificial Intelligence, Computer Vision, AI-Based Surveillance, Object Detection.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 16, Issue 2, April-June 2025
Published On 2025-04-18
Cite This VyaaparNetra: Visual Language Inventory Management System - K Manushresth, G Dhanush Kumar, Pratham Verma - IJSAT Volume 16, Issue 2, April-June 2025. DOI 10.71097/IJSAT.v16.i2.3842
DOI https://doi.org/10.71097/IJSAT.v16.i2.3842
Short DOI https://doi.org/g9gdtf
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