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.

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. 

An AI phone agent for restaurants, designed to automate and enhance customer interactions over the phone. It handles orders, reservations, FAQs, and customer queries while seamlessly integrating with POS systems. With the ability to manage unlimited simultaneous calls, upsell intelligently, and provide real-time analytics, it reduces missed opportunities and improves customer satisfaction.