Developing this Call Center CRM presented several complex challenges. One of the most critical was handling massive volumes of data during bulk imports and exports without compromising system performance. Ensuring real-time updates across agent dashboards and notifications was another demanding requirement, especially with multiple users online simultaneously. Duplicate contact records, often originating from different vendors and data formats, had to be accurately identified and resolved without data loss. Additionally, the system needed to scale efficiently under heavy usage, support role-based permissions, and enforce compliance with national and internal Do Not Call (DNC) registries—all while maintaining a seamless user experience.

To address these challenges, Redis queues were implemented to manage intensive import/export tasks asynchronously, allowing the system to remain responsive under load. Real-time communication was achieved through Socket.io, enabling instant updates to agent dashboards, status indicators, and notifications. Elasticsearch was integrated to facilitate fast, intelligent deduplication and searching across millions of contact records. The backend was optimized using a well-structured MongoDB schema and performance-focused Node.js logic to support high concurrency. DNC validation was automated within the workflow to prevent non-compliant outreach. Finally, a robust role-based access control system ensured secure and appropriate feature access across different user types.