Supply Chain & Logistics Intelligencel
/install supply-chain-intel
Supply Chain & Logistics Intelligence
Capabilities
| # | Capability | Input | Output |
|---|---|---|---|
| 1 | Freight Rate Dashboard | Route (e.g., Shanghai-LA) / mode (ocean/air) | Spot rate, 1Y range, trend, capacity outlook, booking lead time |
| 2 | Port Congestion Monitor | Port(s) / region | Vessel queue length, dwell time, gate hours, labor status, weather impact |
| 3 | Trade Flow Analyzer | Country pair / commodity (HS code) | Volume, value, growth rate, seasonality, tariff impact, alternative routes |
| 4 | Commodity Bottleneck Scanner | Commodity (semiconductors, batteries, etc) | Key suppliers, geographic concentration, lead time, price volatility, substitution options |
| 5 | Supply Chain Risk Heatmap | Company / product / region | Geopolitical risk, climate exposure, labor disruption probability, regulatory compliance burden |
| 6 | Transit Time Estimator | Origin-destination + mode | Current transit days, historical variability, delay probability, expedited options cost |
| 7 | Inventory Optimization Model | Demand forecast + lead time variability | Safety stock level, reorder point, EOQ, service level vs. carrying cost trade-off |
| 8 | Sourcing Intelligence | Component / raw material | Supplier landscape, pricing benchmarks, quality ratings, ESG compliance, dual-sourcing feasibility |
| 9 | Logistics Cost Benchmark | Shipment profile (weight, volume, value) | Cost breakdown (freight, fuel surcharge, customs, insurance), vs. industry average |
| 10 | Disruption Alert System | Watchlist (ports, suppliers, routes) | Real-time alerts (strikes, weather, sanctions), impact assessment, contingency plan suggestions |
Workflow
User Query
│
├─ [Step 1] Classify → logistics mode + commodity + geography + time horizon
│
├─ [Step 2] Multi-source data retrieval:
│ └─ Freight rates: Drewry, Freightos
│ └─ Port data: Port of LA/LB, China Ports Association
│ └─ Trade: UN Comtrade, US Census
│ └─ Risk: Resilinc, Bloomberg SCM
│ └─ Equipment: Container xChange
│
├─ [Step 3] Cross-validate & flag discrepancies
│
├─ [Step 4] Apply supply chain models:
│ └─ Inventory optimization (EOQ, safety stock)
│ └─ Network design (facility location, routing)
│ └─ Risk quantification (VaR for lead time)
│
├─ [Step 5] Generate structured output with actionable insights
│
└─ [Step 6] Cite data vintage, source URLs, confidence intervals
Output Formats
Freight Rate Snapshot
| Route | Mode | Spot Rate | 1W Change | 1Y Range | Capacity | Booking Lead Time |
|---|---|---|---|---|---|---|
| Shanghai-LA | Ocean | $X,XXX/TEU | +X% | $X,XXX-$X,XXX | Tight | 3-4 weeks |
| Frankfurt-ORD | Air | $X.XX/kg | -X% | $X.XX-$X.XX | Available | 1-2 days |
Port Congestion Dashboard
| Port | Vessels Waiting | Avg Dwell Time (days) | Gate Hours | Labor Status | Weather Alert |
|---|---|---|---|---|---|
| Los Angeles | 12 | 4.2 | 24/7 | Normal | None |
| Rotterdam | 8 | 3.8 | 6am-10pm | Strike warning | High winds |
Commodity Bottleneck Matrix
| Commodity | Key Suppliers | Geographic Risk | Lead Time (weeks) | Price Volatility | Substitution Options |
|---|---|---|---|---|---|
| Advanced Semiconductors | TSMC, Samsung, Intel | Taiwan Strait, US-China | 26-52 | High | None (critical) |
| Lithium-ion Batteries | CATL, LG, Panasonic | China, DRC, Chile | 12-24 | Medium | Sodium-ion (emerging) |
Usage Guidelines
- Real-time data priority — supply chain data decays rapidly; flag any data >7 days old
- Multi-modal comparison — always present air vs. ocean vs. rail trade-offs (cost vs. speed vs. reliability)
- Risk quantification — express disruptions in $ impact and lead time extension, not just qualitative
- Actionable recommendations — each insight should link to a decision (reroute, expedite, buffer stock, dual-source)
- Regulatory compliance — include customs, sanctions (OFAC), forced labor (UFLPA), carbon border (CBAM) considerations
- Scenario planning — provide best-case/worst-case/base-case for critical decisions
Examples
Example 1: Freight Cost Optimization
User: "Best way to ship 100 TEU from Shenzhen to Chicago in Q3 2026?" Output: Ocean vs. rail vs. air cost/speed comparison; port pair recommendations (Shenzhen→LA vs. Shenzhen→Vancouver); transit time variability; fuel surcharge forecast; contingency for Panama Canal drought.
Example 2: Disruption Impact Assessment
User: "What's the impact of a potential ILWU strike at LA/LB ports?" Output: Historical strike duration (days), backlog buildup rate (TEU/day), alternative ports (Oakland, Tacoma, Mexico), cost premium for air freight, inventory burn-down timeline for key industries.
Example 3: Sourcing Strategy
User: "Should we dual-source rare earth magnets from China and Vietnam?" Output: Supplier capability comparison, quality variance, lead time differential, tariff implications, ESG risk (China Xinjiang concerns), total landed cost model.
Data Base: references/supply_chain_sources.json — 14 authoritative data sources, 5 key commodities, 5 risk factors, 4 logistics modes.
Last Updated: June 2026
Free Tier: Available. This skill aggregates public supply chain data; no proprietary carrier contracts accessed.
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install supply-chain-intel - After installation, invoke the skill by name or use
/supply-chain-intel - Provide required inputs per the skill's parameter spec and get structured output
What is Supply Chain & Logistics Intelligencel?
AI-powered global supply chain and logistics intelligence engine. Tracks ocean freight rates (Drewry/Freightos), port throughput (LA/LB, China ports), trade... It is an AI Agent Skill for Claude Code / OpenClaw, with 45 downloads so far.
How do I install Supply Chain & Logistics Intelligencel?
Run "/install supply-chain-intel" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Supply Chain & Logistics Intelligencel free?
Yes, Supply Chain & Logistics Intelligencel is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Supply Chain & Logistics Intelligencel support?
Supply Chain & Logistics Intelligencel is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Supply Chain & Logistics Intelligencel?
It is built and maintained by ai-gaoqian (@ai-gaoqian); the current version is v1.0.0.