Local businesses often depend on manual methods or personal experience to manage inventory, which leads to frequent challenges such as overstocking, stock shortages, and unsold goods. Although sales data is available, it is rarely analyzed to predict future demand or guide inventory decisions. Most existing inventory management systems are designed for large enterprises, making them expensive, complex, and difficult for small business owners to adopt. Additionally, traditional dashboards require technical knowledge, which limits usability for non-technical users. The absence of real-time insights further impacts profitability, planning, and operational efficiency. There is a strong need for a simple, intelligent, and accessible inventory management solution that helps local businesses make data-driven decisions without requiring technical expertise.