Smart Retail 360: Inventory and Profit Optimization
DOI:
https://doi.org/10.47392/IRJAEM.2026.0059Keywords:
Inventory Management, Sales Analytics, Machine Learning, Demand Forecasting, Profit Optimization, Expiry Monitoring, Retail Decision Support, Business Intelligence, Dynamic PricingAbstract
Retail management plays a crucial role in maintaining product availability, reducing wastage, and maximizing profitability. This project, titled “Smart Retail 360: Intelligent Inventory and Profit Optimization System,” aims to develop a smart retail management platform that automates stock monitoring and enhances business decision-making. The system provides flexible data entry options including an Excel-like manual interface and direct Excel file upload for inventory management. Once the product data is entered, the system continuously monitors stock levels until the product lifecycle ends. It identifies low-stock items, detects products approaching expiry dates, and generates real-time alerts for store managers. In addition, the system analyzes historical sales data to suggest optimal restocking quantities based on demand patterns. The platform also generates automated daily sales reports and calculates profit margins for each product. Another important feature is the business advisory chatbot, which allows store owners to interact with the system and receive intelligent suggestions for promotional offers and pricing strategies with proper justification. By integrating machine learning, sales analytics, and automated reporting, the proposed system provides a comprehensive solution to improve retail efficiency, reduce losses, and increase profitability.
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Copyright (c) 2026 International Research Journal on Advanced Engineering and Management (IRJAEM)

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