BDVH Platform
Automating student enrollments, commission payouts, and certification generation with queue-based processing (Redis & BullMQ) for reliability at scale.
The Full Story
BDVH is a training franchise network specializing in mid-brain activation.
The network required an enterprise-grade system to automate their expanding franchise operations, including enrollments and commission payouts.
We developed a Next.js and MongoDB platform utilizing Redis and BullMQ for robust, scalable queue-based processing of heavy tasks like certification generation and mass commission calculations.
A highly reliable enterprise management platform that seamlessly handles thousands of concurrent operations, drastically reducing manual administrative overhead.
Project Goals
- Automate student enrollments across franchises
- Systematize commission payouts
- Generate certifications dynamically
- Ensure queue-based processing for reliability
Project Gallery
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Technologies Used
Every technology was selected for a reason — performance, developer experience, and long-term maintainability.
Key Features
Every feature was purpose-built to solve a real business need.
Franchise Management System
Automated Student Enrollments
Commission Payouts Automation
Dynamic Certification Generation
Queue-based Processing (BullMQ)
Role-Based Access Control
Project Statistics
Students Managed
Uptime Reliability
Delivery Time
Client Satisfaction
Our Development Process
A proven 7-stage process that keeps you informed, in control, and confident at every step of the journey.
Challenges & Solutions
Real problems we solved — and the technical decisions behind our solutions.
Reliable Certification & Payouts at Scale
Generating thousands of certificates and calculating complex commissions simultaneously caused system timeouts.
Implemented BullMQ with Redis to process heavy tasks asynchronously in background queues, ensuring 100% reliability.
What the Client Said
“The enterprise platform is incredibly reliable. The automated enrollments and commission payouts have saved us countless hours of manual work.”
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