Supply Chain Intelligence

End-to-end supply chain analysis and optimization for modern enterprises. Monitors multi-tier supply networks, predicts disruptions, optimizes inventory levels, and evaluates supplier performance.

Usage

supplychain: analyze inventory levels across all warehouses
supplychain: assess supplier risk for [Supplier Name]
supplychain: optimize shipping routes from [Origin] to [Destination]
supplychain: forecast demand for [Product SKU] next quarter
supplychain: monitor disruption risks in [Region]

Execution Flow

1. Inventory Analytics — ABC classification, safety stock calculation, reorder point optimization, dead stock identification
2. Supplier Risk — Score across financial health, geopolitical exposure, delivery performance, quality metrics, single-source dependency
3. Logistics Optimization — Multi-modal route planning, cost vs. speed trade-off, carbon footprint per route, last-mile efficiency
4. Demand Forecasting — Time-series analysis with seasonality, trend, and external factor correlation (weather, holidays, economic indicators)
5. Disruption Monitor — Real-time tracking of port congestion, natural disasters, trade policy changes, labor strikes affecting supply routes
6. Cost Analysis — Total landed cost breakdown, tariff impact simulation, make-vs-buy analysis

Output Format

# Supply Chain Analytics Dashboard
**Snapshot**: 2026-06-12

## Inventory Health: 82/100
| Warehouse | SKU Count | Days of Stock | Status |
|-----------|-----------|---------------|--------|
| Shanghai  | 1,240     | 45            | Optimal |
| Rotterdam | 890       | 12            | ⚠️ Low  |
| LA        | 1,560     | 62            | Excess  |

## Top Supplier Risks
| Supplier | Risk Score | Trigger |
|----------|------------|---------|
| AlphaChem | 78/100 | Geopolitical exposure (Taiwan Strait) |
| BetaParts | 65/100 | Single-source dependency |

## Active Disruptions
- Suez Canal: Minor delays (2-3 days) due to increased traffic
- Shanghai Port: Typhoon warning — monitor for 48h

## Demand Forecast (Q3 2026)
- SKU-PRO-001: +12% MoM, seasonal peak expected August
- SKU-PRO-002: -5% MoM, declining trend

## Cost Saving Opportunities
1. Consolidate Rotterdam-LA shipments: Save $45K/month
2. Switch Supplier Gamma to local alternative: Reduce lead time 14 days

Notes

• Inventory data should be provided in CSV or Excel format with SKU, warehouse, quantity, and date fields
• Supplier risk assessment quality improves with historical delivery and quality data
• Disruption monitoring requires web search access for real-time news and alerts
• Demand forecasts are probabilistic; confidence intervals provided