A Web-Based Commodity Intelligence System for Real-Time Agricultural Market Analysis

Abstract

Agricultural commodity markets require timely and accurate price information to support effective decision-making among farmers, traders, and market analysts. Traditional commodity information systems often suffer from delayed updates, lack of centralized monitoring, and inefficient manual processing methods. To address these challenges, this paper proposes a Commodity Intelligence System (CIS), a web-based platform developed using ASP.NET and SQL Server for real-time commodity price monitoring and reporting. The system integrates role-based access control, centralized database management, automated report generation, and trend analysis modules to improve market transparency and accessibility. CIS supports administrators, information suppliers, and customers through secure multi-user interaction and dynamic data processing. Experimental evaluation demonstrates that the proposed system reduces data update delay by 65%, improves data retrieval accuracy to 96%, and generates reports faster compared with traditional manual systems. The proposed platform enhances agricultural market intelligence, supports strategic decision-making, and provides a scalable foundation for future predictive analytics integration.