Signal Detection → Disruption Prediction → Impact Analysis → Governed Execution
End-to-end supply chain intelligence with digital twin technology. XELRA predicts disruption propagation across the supply chain before operational impact occurs. An independent AI engine built on the XSYDA signal intelligence framework.
Supplier, logistics, geopolitical, weather, and financial signals monitored continuously
Digital twin models propagation paths, severity, and timeline of supply chain disruptions
Cross-functional impact quantified with financial exposure and recommended actions
Policy-approved actions deployed with full audit trail and compliance documentation
Real-time digital twin, disruption detection, and predictive execution
| Severity | Disruption | Impact | Status |
|---|---|---|---|
| CRITICAL | Semiconductor supplier — 40% capacity cut | $1.8M | REVIEW |
| CRITICAL | Shanghai port — 72hr container delay | $920K | REVIEW |
| HIGH | Copper price spike +18% 30-day | $680K | ACTION |
| HIGH | EU CBAM tariff adjustment | $450K | REVIEW |
| MEDIUM | Typhoon approaching Taiwan fab region | $340K | MONITOR |
A digital twin of the supply chain detecting disruption before it impacts production or customer delivery.
Real-time digital representation of your entire supply network. Updated continuously as conditions change.
Monitors geopolitical, weather, logistics, and supplier signals. Predicts severity and propagation timeline.
Route optimisation, carrier performance, delivery prediction across freight, warehousing, and last-mile.
Demand-supply matching with predictive accuracy. Positioning, reorder timing, and safety stock based on real-time signals.
Continuous supplier health assessment — financial stability, delivery performance, quality, risk indicators.
Supplier · Logistics · Weather · Geopolitical
Digital twin · Disruption modeling
Financial exposure · Propagation path
Approved response · Audit trail
Multi-tier visibility · Production input prediction · Quality-linked sourcing
Just-in-sequence monitoring · Component availability prediction
Long-cycle procurement · Fab input monitoring · Yield-linked allocation
Cold chain monitoring · Regulatory tracking · Expiry-aware distribution
Omnichannel inventory visibility · Seasonal demand-supply matching
All models and signals process inside your infrastructure. Zero external dependency.
Every disruption prediction is explainable with full signal lineage. Audit-ready.
Policy-enforced approval workflows. No autonomous action without authorisation.
Signal-to-action lineage. Every data point, prediction, and decision logged.
Kafka-native signal ingestion. Sub-second supplier and logistics signal processing.
ERP, WMS, TMS, and carrier systems connected via REST APIs and event streams.
Predict disruptions before they impact operations. Governed supply chain intelligence.