VENTO: VOICE-ASSISTED INVENTORY MANAGEMENT SYSTEM
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Universiti Malaysia Sarawak
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Effective inventory management is essential for ensuring operational efficiency within retail businesses. This project presents the development of Vento: Voice-Assisted Inventory Management System, a cross-platform solution designed using Flutter to support small and medium-sized enterprises. The system consists of a web-based application for administrators and an Android mobile application for retail staff, enabling seamless inventory control through both manual input and voice commands. The system integrates Firebase services for real-time data synchronization, secure authentication, and cloud-based storage. A key feature of the system is the voice assistant module, which leverages speech recognition and basic natural language processing to facilitate hands-free execution of core inventory operations, including product addition, modification, deletion, and retrieval. Additional functionalities include QR code generation, stock tracking by size, and the presentation of sales data through visual reports to assist in business decision-making. Development was guided by a personal Scrum methodology, incorporating iterative testing and user feedback to refine system features and usability. The system’s primary objective is to enhance inventory management efficiency, minimize human error, and improve customer service through streamlined, voice-enabled operations. By combining artificial intelligence elements with real-time data handling, the project aims to modernize inventory processes and contribute to improved accuracy and productivity within retail environments.