The client required a customizable LAN-based Restaurant POS system to streamline order processing, table management, billing, and inventory tracking. Due to internet connectivity limitations, the system needed to function entirely within a local network (LAN) while integrating hardware devices such as MSR Credit Card Reader, Kitchen Display System (KDS), Thermal Printers, and Receipt Printers.

The solution includes:

• A Desktop POS Application for restaurant operations, supporting table management, order processing, and payments.
• An Android App for waiters and chefs, enabling real-time order tracking and kitchen display.
• An Admin Interface for reporting, analytics, and inventory management.

The primary objective of the platform is to transform the neuro clinic’s data into an intelligent, and research-enabling asset by implementing a Clinical Decision Support and Research System (CDSS) that consolidates patient, operational, and financial information into one secure, analytics-driven environment. The solution provides real-time insights for clinical decision-making, research enablement, and revenue visibility, ensuring HIPAA-compliant data governance. It will also streamline operational workflows by automating performance tracking, monitoring patient flow, and improving scheduling efficiency, while strengthening financial management through comprehensive visibility into revenue, billing accuracy, and payer mix analysis. 

This project involves creating analytical reports and dashboards for retail sales and healthcare metrics. The store sales report tracks sales performance using key metrics such as total sales, targets, and period-based sales comparisons, with filters for date and location. The repair summary report provides insights into repair activities with visual charts and multiple filters. The top sales report highlights salesperson performance, while the top sellers report lists best-selling products. In healthcare, dashboards focus on patient-related metrics, engagement, and group analysis, offering insights into appointments, measures, and patient interactions with various filtering options for effective data analysis and decision-making.