Sales Networks That Scale

Engineered a comprehensive MLM platform transforming opaque commission structures into transparent, audit-grade operations with fraud resilience.

75k+
Agents Managed
<0.02%
Payout Error Rate
<3hr
Period Close Time

The Challenge

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.

Solution

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 Impact

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.

Key Challenges

1

Complex commission formula encoding

2

Hierarchy abuse prevention

3

Order attribution edge cases

4

Fraud detection (self-purchase, wash sales)

5

Earnings fairness perception

6

Rapid incentive changes without disruption

Our Solutions

Hierarchy & Rank Engine

Declarative hierarchy with rank progression and shadow simulation.

  • Tree-based hierarchy with lineage metadata
  • KPI-based rank progression rules
  • Shadow simulation for forecasting
  • Region and tier management
Hierarchy & Rank Management

Commission Rules Engine

Versioned rules-as-data with complex calculation support.

  • JSON/YAML rule definitions
  • Slabs, tiers, accelerators, overrides
  • Clawback with reason codes
  • Test harness for rule validation
Commission Rules Engine

Activity Attribution

Real-time order processing with upline propagation and eligibility.

  • Idempotent event ingestion
  • Tree propagation with filters
  • Return and cancellation handling
  • Volume qualification tracking
Activity Attribution Pipeline

Fraud & Transparency

Multi-signal fraud detection with explainable payout breakdowns.

  • Velocity and pattern anomaly detection
  • Self-purchase and circular sale detection
  • Explainable earning statements
  • Dispute workflow with evidence
Fraud Detection & Transparency

System Architecture

Scalable architecture with rules engine and comprehensive audit trail

Frontend & Admin

React agent portal

Admin console (rules, hierarchy)

Analytics dashboards

Mobile-responsive design

Core Services

Hierarchy & Rank Engine

Commission Rules Engine

Activity Attribution Pipeline

Fraud Detection Service

Dispute Management

Payout & Settlement

Processing

Event stream (Kafka)

Real-time attribution

Period close automation

Reconciliation checks

Data & Analytics

PostgreSQL (hierarchy, ledger)

Time-series (activity, metrics)

Analytics warehouse

Immutable audit ledger

Data Flow Architecture

Client Layer

User Interface

API Layer

Business Logic

Data Layer

Persistence

99.9% Uptime SLA
Sub-250ms API Latency
Horizontal Scalability

Measurable Outcomes

Agents Managed

Before
12,000 manual
After
75,000+
6x scale

Payout Error Rate

Before
2.4%
After
<0.02%
99% reduction

Period Close

Before
18 hours
After
<3 hours
83% faster

Dispute Volume

Before
840/month
After
280/month
67% reduction

Agent Retention

Before
64%
After
82%
18% increase

Rule Deployment

Before
2-3 weeks
After
<1 day
95% faster

Technologies Used

ReactNode.jsTypeScriptPostgreSQLKafkaRedisPythonDockerKubernetesGrafana

Ready to Transform Your Business?

Let's discuss how we can help you achieve similar results with cutting-edge technology and expert engineering.

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