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@article{197785,
        author = {Sujal Desale and Aditya Patil and Sakshi Jadhav and Shashwat Khandare and Prof. Amruta Kothavade},
        title = {Intelligent Stock Tracking & Inventory Management System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {7789-7796},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=197785},
        abstract = {The management of inventory is a very important aspect in the operational performances and profitability of retail companies and small businesses. The traditional inventory systems are characterized by extensive use of manual updates, fixed thresholds, and historical summaries, which tend to create inaccurate stock level, delays in decision-making, surplus inventory, and product wastes. As more digital billing systems and transaction data becomes available, there is a great demand of intelligent types of systems capable of analyzing data in real time sales and offer predictive analysis. The research paper introduces an Intelligent Stock Tracking and Inventory Management System of real-time invoice processing, automated stock updates, and analytics using the artificial intelligence. The suggested system reads sales transactions off invoices, dynamically updates inventory levels and provides actionable information including the sales patterns, best sellers, sales by category and sales forecasts. The past information is used through machine learning to forecast the future demand and to recommend the best reorder quantity. The system is developed on the basis of a modular and scalable architecture comprising of data collection, analytics processing, forecasting, and visualization layers. The solution suggested enhances stock accuracy in the inventory, minimizes stockouts, wastage, and assists business owners in making decisions based on data.},
        keywords = {Intelligent Inventory System, Stock Tracking, Sales Analytics, Demand Forecasting, AI in Retail, Invoice-Based Analytics, Predictive Reordering, Business Intelligence Dashboard.},
        month = {April},
        }