Build a production-ready AI platform that gives hardware companies full visibility and control over their supply chains — predicting disruptions before they happen and automatically orchestrating recovery actions.
Core vision:
Create an AI-native supply chain intelligence system for electronics and hardware manufacturers that ingests multi-tier supplier data, monitors geopolitical and logistics risk signals, predicts component shortages and lead time changes weeks or months in advance, and automatically triggers mitigation actions like dual-sourcing qualification, inventory buffers, or demand-side adjustments.
The system must support the full supply chain management loop:
1. Map the complete multi-tier supply chain
2. Monitor risk signals across suppliers, logistics, and geopolitics
3. Predict disruptions with lead time and probability estimates
4. Generate mitigation options with cost/risk tradeoffs
5. Execute approved mitigations (PO changes, qualification starts, customer notifications)
6. Measure forecast accuracy and improve prediction models
Core capabilities:
Supply chain mapping:
- Import BOMs and automatically map to tier-1 suppliers
- Extend mapping to tier-2/3 through supplier disclosure requests
- Identify single-source dependencies and geographic concentrations
- Map logistics routes and identify chokepoints
- Visualize the supply network as an interactive graph
- Track approved vendor lists (AVL) and qualification status
Risk monitoring and signals:
- Monitor factory locations against natural disaster and conflict data
- Track port congestion and shipping lane disruptions
- Ingest financial health signals for key suppliers
- Monitor commodity prices for key materials (copper, rare earths, silicon)
- Watch regulatory changes affecting suppliers (export controls, sanctions)
- Track competitor demand signals that compress available supply
Prediction engine:
- Lead time forecasting by component category and supplier
- Shortage probability scoring with confidence intervals
- Price trend forecasting for constrained components
- Inventory coverage analysis against forecast demand
- Scenario modeling for specific disruption events
- Identify which active programs are most at risk
Mitigation management:
- Generate ranked mitigation options with cost and time estimates
- Track dual-source qualification projects from start to approval
- Manage buffer inventory decisions with carrying cost analysis
- Coordinate demand-side options (reschedule, redesign, allocate)
- Draft supplier communications and escalation notices
- Update program schedules based on supply constraints
Analytics and reporting:
- Executive dashboard with top supply risks by revenue impact
- Program-level supply health scorecards
- Supplier performance tracking (on-time delivery, quality, communication)
- Procurement efficiency metrics (expedite costs, emergency buys)
- Forecast accuracy reporting to improve models over time
Build a working demo covering:
1. Import a sample BOM and see supply chain map with risk scores
2. Simulate a factory shutdown and see impacted programs with severity
3. View lead time forecast for a constrained semiconductor component
4. Generate a mitigation plan with cost/risk tradeoff analysis
5. Export a supply risk report for an executive program review
Builds a working MVP of a hardware supply chain intelligence dashboard. Import a BOM, visualize the supplier network with risk scores, simulate a disruption and see impacted programs, and view lead time forecasts with mitigation recommendations.