Store Sales Analytics

We built a multi-location retail sales analytics dashboard that visualizes product performance, sales trends, and inventory across stores.

This tool enabled data-driven pricing and marketing decisions, powered by dynamic filtering and visual storytelling.

The dashboard integrates seamlessly with existing POS systems, automatically pulling real-time data without the need for manual uploads. Its interactive charts and drill-down capabilities allow managers to quickly identify underperforming products and regions. The platform also supports exporting insights for use in reports and presentations. Custom alert features notify users about sudden changes in sales performance. This ensures issues can be addressed before they impact revenue significantly.

Additionally, the solution includes AI-powered demand forecasting that predicts inventory requirements weeks in advance. It factors in historical sales data, seasonal patterns, and promotional calendars. This optimization reduces overstocking and prevents stockouts, improving overall profitability. Managers can also simulate different pricing strategies to understand their potential outcomes. As a result, the company has reported increased sales efficiency and customer satisfaction.