An Intelligent Smart Retail System for Voice-Guided Stock Monitoring, Visual Billing, and Import Recommendations

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Authors: Kanugula Kumar Sandeep
Cited by: 0

Abstract

The retail industry operates in a fast-paced environment where accurate inventory management, efficient billing, and timely procurement decisions are critical for operational success. Traditional retail systems rely heavily on manual stock tracking, barcode-based billing, and rule-based restocking mechanisms, which often lead to inefficiencies, errors, and delayed decision-making. With the increasing availability of artificial intelligence and data-driven technologies, there is a growing need for intelligent retail systems that enhance automation, accessibility, and analytical insight. This paper presents a Smart Retail system that integrates voice-guided stock monitoring, image-based visual billing, automated import recommendations, and realtime sales analytics into a unified platform. The system enables store owners to interact with inventory through natural language voice commands, perform faster and error-free billing using computer vision, and receive predictive restocking recommendations based on historical and real-time sales trends. Advanced analytics provide actionable insights into inventory movement, demand patterns, and business performance. By combining operational automation with intelligent analysis and accessibility-focused design, the proposed system supports proactive stock management, improves checkout efficiency, and enhances decision-making. The solution is suitable for both large retail outlets and small-scale stores, offering a scalable, userfriendly approach to modern retail management.

Fields of Study & Subjects

IoT and GPS-based Vehicle Safety Systems Stock Market Forecasting Methods Forecasting Techniques and Applications

Publication details

Journal / source
International Journal for Research in Applied Science and Engineering Technology
Volume
14
Issue
1
Pages
422–425
Publication date
10 January 2026