Engineered a comprehensive MLM platform transforming opaque commission structures into transparent, audit-grade operations with fraud resilience.
Multi-level marketing platforms struggle with complex commission calculations, hierarchy integrity, fraud prevention, and transparency. The challenge was building a system that could handle tens of thousands of agents with intricate commission rules while maintaining trust and auditability.
The solution delivered a rules-as-data commission engine with hierarchy modeling, real-time activity attribution, fraud detection, dispute workflows, and explainable payout breakdowns—all architected for scale and regulatory compliance.
The platform manages 75,000+ agents, achieves sub-0.02% payout error rate, completes period close in under 3 hours, and has reduced disputes by 67% through transparency and explainability.
Complex commission formula encoding
Hierarchy abuse prevention
Order attribution edge cases
Fraud detection (self-purchase, wash sales)
Earnings fairness perception
Rapid incentive changes without disruption
Declarative hierarchy with rank progression and shadow simulation.
Versioned rules-as-data with complex calculation support.
Real-time order processing with upline propagation and eligibility.
Multi-signal fraud detection with explainable payout breakdowns.
Scalable architecture with rules engine and comprehensive audit trail
React agent portal
Admin console (rules, hierarchy)
Analytics dashboards
Mobile-responsive design
Hierarchy & Rank Engine
Commission Rules Engine
Activity Attribution Pipeline
Fraud Detection Service
Dispute Management
Payout & Settlement
Event stream (Kafka)
Real-time attribution
Period close automation
Reconciliation checks
PostgreSQL (hierarchy, ledger)
Time-series (activity, metrics)
Analytics warehouse
Immutable audit ledger
User Interface
Business Logic
Persistence
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