An AI-powered Quality Assurance (QA) tool developed to enhance the customer support experience by automatically analysing customer-agent conversations( both actual human agents as well as agentic bots too). It identifies policy violations, customer sentiment, and agent performance insights in real-time. Platform integrates with CRMs and uses machine learning (ML) and natural language processing (NLP) to offer actionable insights for businesses seeking to improve service quality and operational efficiency. This will help organisations to streamline support analysis, improve agent training, and monitor customer satisfaction metrics. 

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 solution query the DICOM server, upload and store the DICOM files on the cloud and share the same file in different formats like HL7 format for the doctors/ third party partners and JPEG format to mothers.

The development of the solution involves following processes-

• Querying the DICOM server, uploading to cloud and storing to share the same file in different formats basically HL7 format for the doctors/ third party providers and JPEG format to mothers.
• Admin portal to share and manage the file sharing in different formats to different associated providers.
• Automate sharing of data (DICOM files) with mothers.
• Twilio integration to share data (images) on email or texts specifically to mothers.
• Patients list to be displayed on doctor’s dashboard accessed through HL7 message.
• New features- DICOM viewer for the doctors/ partners (Client will select the pre-ferred viewer from the links shared)
• Multi-tenancy and micro-services architecture.
• Super Admin portal to onboard and manage clinics.
• Subscription plan for the on-boarded clinics