ESG Verification Engine
Validate environmental claims with 89% accuracy using our ensemble machine learning model. The engine combines XGBoost (40% weight), Neural Networks (30%), and Random Forest (30%) trained on thousands of verified supplier claims, certifications, and historical audit outcomes.
- Claim extraction from PDF, DOCX, and images via OCR with 95% accuracy
- Verification score (0-100) with 95% confidence intervals displayed within 3 seconds
- SHAP feature importance visualizations showing top 3 decision factors
- Batch verification processing: 100 claims in under 60 seconds
- Continuous daily re-verification with automatic alerts on score drops >10 points
- Support for 9 claim types: recycled content, carbon neutral, bio-based, organic, energy efficient, water efficient, sustainable sourced, Made in America, fair trade
Supply Chain Traceability
Build directed supply chain graphs with cryptographic provenance using Neo4j graph database and Hyperledger Fabric blockchain. Calculate domestic content percentages per FAR 52.225-1 methodology with immutable audit trails.
- Ingest supplier data via REST API, CSV upload, or OCR of paper documents
- Directed graph visualization supporting up to 1,000 nodes with interactive drill-down
- Domestic content calculation matching manual audit results within 2% margin
- SHA-256 cryptographic timestamping on blockchain for tamper-evident records
- Foreign dependency flagging when exceeding configurable threshold (default 30%)
- Domestic supplier alternative suggestions from database of 10,000+ certified US suppliers
Compliance Scoring System
Real-time weighted compliance scoring across 61 FAR requirements in six categories. Configurable alert thresholds with automatic notifications and remediation recommendations.
- Database of 61 FAR requirements across Domestic Content, Trade Agreements, Environmental, Labor, Security, and Reporting categories
- Score updates within 5 minutes of new data ingestion
- Three-level drill-down: Overall Score → Category → Specific Requirement
- Configurable alert thresholds: Yellow at 70, Red at 50 with email + in-app notifications within 1 minute
- Daily compliance score snapshots with 12-month retention and export capability
- Anonymized industry peer benchmarking with percentile rankings
- Actionable remediation recommendations sorted by impact-to-cost ratio
Predictive Analytics Dashboard
30/90/180-day compliance forecasts powered by time-series ML models with Monte Carlo simulations for scenario analysis. Early warning system identifies risks before violations occur.
- Compliance score forecasts at 30, 90, and 180 days with ±10% accuracy on backtesting
- Monte Carlo simulations: 1,000 iterations in under 10 seconds for scenario analysis
- Leading indicator detection: supplier late submissions, certification expirations flagged 14 days early
- Prioritized recommendation list sorted by impact-to-cost ratio
- One-click export of all forecasts and scenarios to PDF and Excel
- "What-if" scenario modeling: supplier failure, regulatory change, certification lapse