VyaaparNetra: Visual Language Inventory Management System

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.

Authors

Publication Details

Journal
International Journal on Science and Technology
Published
2025-04-18
DOI
https://doi.org/10.71097/ijsat.v16.i2.3842
Primary Topic
Subtitles and Audiovisual Media
Type
article
Field-Weighted Citation Impact
0.00
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article

VyaaparNetra: Visual Language Inventory Management System

Gyanendra Kumar, K Manushresth -, Pratham Verma -
International Journal on Science and Technology
Subtitles and Audiovisual Media
article

VyaaparNetra: Visual Language Inventory Management System

Gyanendra Kumar, K Manushresth -, Pratham Verma -
article en

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.

International Journal on Science and TechnologyVol. 16(2)
Openalex Percentile: Top 90%
Subtitles and Audiovisual Media
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