Authors : Kushi S

Volume/Issue : Volume 10 - 2025, Issue 6 - June

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Google Scholar : https://tinyurl.com/bdeztfbe

DOI : https://doi.org/10.38124/ijisrt/25jun1564

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

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Abstract : This paper presents a comprehensive AI-powered smart inventory management system designed for small to mid- level retail environments. The proposed system leverages weight sensors for real-time inventoryupdates, removing the need for manual data entry. It enhances inventory reliability, minimizes human error, and optimizes operations through predictive analytics, automated alerts, and intelligent suggestions.

Keywords : Inventory Automation, Weight Sensors, Theft Detection, Expiry Tracking, AI Reordering, Smart Billing, Demand Forecasting, Sustainability, SQLite, Python.

References :

1. 1. "AI in Inventory Management", IEEE Access, 2023.
   2. OpenAI Codex API for code logic.
   3. SQLite documentation.
   4. Retail inventory case studies, McKinsey & Co, 2024.