Inventory Management and Sales Prediction using XGBoost

In today’s dynamic business landscape, the need for intelligent data-driven insights has become significant. This study aims to revolutionize traditional business intelligence by leveraging advanced algorithms. By doing so, it seeks to redefine data understanding and foster strategic growth for small businesses. Through the proposed innovative approach, this study aims to empower small businesses with actionable insights, efficient administrative management, location-specific analytics, and detailed product and transaction tracking capabilities. By leveraging the power of Next.js, Prisma, and Zod, the BI dashboard paves way for intelligent business growth and strategic decision-making. Additionally, this study explores the application of Sales Prediction using XGBoost, investigating the integration of analytics and predictive modelling to enhance the operation efficiency and decision-making processes in small-scale enterprises whilst also discovering the idea of choosing the proposed model over others with a key factor of server load.