Blockchain-Powered Anomaly Detection for Trade Channel Integrity
What was at stake
The CPG enterprise operated a complex network of distributors, wholesalers, and retailers across 40+ markets, with volume-based discount programs totaling hundreds of millions annually. Fraudulent claims — phantom shipments, duplicate invoicing, and collusive pricing between channel partners — were costing the company an estimated $22M per year, and traditional auditing caught issues months after the fact. They needed a system that could detect anomalies in real time across a decentralized partner network where no single party could be fully trusted.
How we delivered
Distributed Ledger Network Design
Architected a permissioned Hyperledger Fabric network with 15 peer nodes representing key channel partners, implementing smart contracts that enforce discount program rules at the transaction level. Designed the consensus mechanism to ensure that no single partner can unilaterally alter transaction records while maintaining sub-second transaction finality.
ML-Based Anomaly Detection Models
Trained ensemble models on 5 years of historical trade data using TensorFlow, incorporating graph neural networks to detect collusive patterns between partner nodes. The system identifies 14 distinct fraud typologies including volume inflation, timing manipulation, and phantom routing — achieving 99.8% detection accuracy with a false positive rate under 0.3%.
Real-Time Monitoring & Alert Dashboard
Built a Grafana-based operations dashboard with real-time transaction visualization, anomaly score heatmaps by region and partner, and automated alert escalation workflows. Compliance teams can drill down from a flagged transaction to the full blockchain audit trail in three clicks.
Partner Onboarding & Change Management
Developed a partner onboarding toolkit including node deployment automation, API integration guides, and training programs. Worked with the client's procurement team to negotiate blockchain participation into partner agreements, achieving 100% adoption across Tier 1 distributors within 8 weeks of launch.
Measurable impact, verified by the client
Technologies we used
“We had been losing over $20M a year to trade channel fraud and couldn't catch it with traditional auditing. TPWITS delivered a blockchain network that our partners actually adopted — and the ML detection layer identified $18M in fraudulent activity in the first year alone. The combination of immutable records and real-time anomaly detection is a game-changer for our industry.”
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