Supply Intelligence
Supply Chain Risk Analytics
Supply chain visibility and risk assessment platform. Ensemble ML models predict disruptions, optimize inventory, and recommend supplier diversification across global sourcing networks.
Context
Post-pandemic supply chain shocks exposed the fragility of just-in-time procurement for a global industrial group. Leadership needed a proactive risk system, not a post-mortem dashboard.
The Challenge
Supply chain disruption signals are scattered across news APIs, shipping databases, financial reports, and weather systems. Translating noisy external signals into actionable procurement recommendations is a hard NLP and ranking problem.
The Solution
Building a multi-source signal aggregation layer that combines shipping delay data, geopolitical risk scores, financial health indicators, and weather events. An ensemble model ranks supplier risk in real-time. A React dashboard allows procurement teams to simulate disruption scenarios and explore recommended alternatives.
Methodology
- ETL pipeline aggregating 15+ external data providers into a unified risk data model
- NLP-based news monitoring for early-warning geopolitical signals
- Graph-based supplier network model for second-tier dependency analysis
- Scenario simulation engine for procurement planning under uncertainty
Impact
In active development. Pilot deployment planned for Q3 2025 with 3 business units.