Building a Reseller Management System with Performance Tracking and Advanced Analytics
Client Overview
A software-as-a-service (SaaS) company providing subscription-based solutions wanted to develop a Reseller Management System. The aim was to empower resellers to sell subscription plans, track their performance, and earn commissions while providing advanced analytics and seamless payment gateway integration.
Project Goals
Solution Overview
The project was developed using Node.js for backend APIs and MongoDB for data storage. The following modules were built
Authentication Module
1. Features:
Reseller registration and login.
Email and phone verification.
Password reset functionality.
2.Technology Used: Node.js, JSON Web Token (JWT), bcrypt for password hashing.
Reseller Dashboard
1. Features:
Resellers can view customer details, track revenue, and analyze sales performance.
Performance metrics: total customers, total revenue, and subscription plans sold.
2.Technology Used: MongoDB aggregation pipelines for data insights, Node.js for API development.
Reseller Commission System
1.Features:
Automatically calculate commissions based on a percentage of subscription revenue.
Commission reports: show earnings by time period and subscription plan.
2.Technology Used: Node.js for API logic and MongoDB to store transactions.
Payment Integration
1.Features:
Integrated Stripe for secure subscription payments.
Payment logging and automated subscription renewal.
2.Technology Used: Stripe API for payment processing, Node.js for managing subscriptions.
Advanced Analytics
1.Features:Behavior segmentation: categorizing customers based on subscription trends and activities.
Real-time insights: monitoring reseller and customer activity in real-time.
Machine learning-based segmentation for better sales targeting.
2.Technology Used:
Python for machine learning (behavioral clustering using K-means).
WebSocket for real-time dashboard updates.
Implementation Steps
Key Features Delivered
Visualized reseller performance metrics with live updates.
2. Commission Reports:
Detailed earnings breakdowns by time period and subscription plan.
3. Customer Behavior Insights:
Segmented customers based on usage and subscription trends. Used machine learning models to predict high-value customer profiles.
Seamless Payment Integration:
Supported multiple payment gateways for flexibility.
Challenges and Solutions
Solution:
Implemented database indexing and optimized MongoDB queries for faster data retrieval.
2. Challenge:
Accurate Commission Calculations
Solution: Designed a robust transaction logging system to ensure accurate commission tracking.
3. Challenge: Scalability
Solution: Used a microservices architecture to separate payment processing, reseller management, and analytics modules
Business Impact
1. Increased Reseller Engagement:
Resellers could track performance and earnings in real-time, improving motivation and productivity.
2. Boosted Subscription Sales:
Real-time insights and behavioral analytics helped resellers target high-value customers more effectively.
3. Improved Customer Experience:
Streamlined payment processes and seamless subscription renewals enhanced customer satisfaction.
Future Enhancements
1. Heatmaps for Resellers:
Introduce heatmaps to visualize customer interaction with subscription offerings.
2. AI-Powered Recommendations:
Suggest optimal pricing or promotional strategies based on customer behavior.
3. Localization:
Enable language and currency customization for resellers operating in different regions.
4. Mobile App for Resellers:
Develop a mobile-friendly version of the reseller dashboard for easier access.
Conclusion
This Reseller Management System not only empowered resellers to manage and grow their business effectively but also provided the SaaS company with valuable insights to enhance its offerings. The combination of performance tracking, advanced analytics, and seamless payment integration created a scalable and user-friendly platform.
