Catalog › Plugins › Files & documents › sciqlab-supply-chainSS sciqlab-supply-chain Three AI agents for supply chain operations — demand exception analysis, supplier risk scoring, and a multi-agent orchestrator for S&OP revi
Three AI agents for supply chain operations — demand exception analysis, supplier risk scoring, and a multi-agent orchestrator for S&OP reviews. This plugin gives supply chain teams AI-powered demand planning and supplier risk intelligence, directly inside Claude. It includes three skills that work independently or together: Demand Exception Analyzer — Upload a CSV of historical sales vs forecast data and get MAPE/WMAPE calculations, forecast bias detection, consecutive exception flagging, and a VP-ready executive summary in seconds. Supplier Risk Assessment — Provide a list of suppliers and the agent researches each one via web search, then scores them across 6 risk dimensions (Financial Health, Geopolitical Risk, ESG, Supply Continuity, Compliance, Reputation) and generates a color-coded Excel report. Multi-Agent Orchestrator — Combines both agents into a single workflow: runs demand analysis first, identifies problem SKUs, then scores suppliers for those SKUs, and produces an integr
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# SCIQLab Supply Chain AI Agents — Claude Plugin Marketplace
A Claude Code / Cowork plugin marketplace that bundles three AI-powered supply chain agents into a single installable package.
## Quick Install
### Option 1: Add as a marketplace (Claude Code)
```bash
/plugin marketplace add tauseef-cmyk/Supply-Chain-Multi-Orchestrator-AI-Agent-Plug-ins
/plugin install sciqlab-supply-chain@sciqlab-supply-chain-marketplace
```
### Option 2: Install the .plugin file (Cowork)
Download `sciqlab-supply-chain.plugin` from the [Releases](https://github.com/tauseef-cmyk/Supply-Chain-Multi-Orchestrator-AI-Agent-Plug-ins/releases) page and open it in Claude Desktop / Cowork.
## What's Inside
### 1. Demand Exception Analyzer
Reads historical sales-vs-forecast data (CSV) and produces actionable exception reports.
- Calculates MAPE and WMAPE at SKU and Category level
- Flags consecutive exceptions (forecast error >30% for 2+ months)
- Detects systematic over-forecast or under-forecast bias
- Generates an executive summary ready for VP-level review
- Exports `demand_exceptions.csv` and `demand_summary.txt`
**Trigger phrases:** "demand exceptions", "forecast accuracy", "MAPE", "WMAPE", "forecast bias", "exception report", "planner review"
### 2. Supplier Risk Assessment
Two-step AI workflow that researches and scores suppliers across 6 risk dimensions.
- **Step 1 — Research:** Queries Tavily web search API for each supplier across Financial Health, Geopolitical Risk, ESG/Sustainability, Supply Continuity, Compliance/Sanctions, and Reputation
- **Step 2 — Score & Report:** Uses Claude API to score each supplier (1-10 per dimension), calculates weighted averages, and generates a color-coded Excel report with a Risk Dashboard and per-supplier detail sheets
**Trigger phrases:** "supplier risk", "vendor scoring", "supplier due diligence", "risk scorecard", "OTIF", "ESG scoring"
### 3. Multi-Agent Orchestrator
Coordinates both agents into a single integrated report for S&OP meetings.
- Runs demand analysis first, identifies CRITICAL/WATCH SKUs
- Runs supplier risk scoring only for problem SKUs
- Synthesizes an integrated action plan with priority matrix (P1-P4)
- Generates S&OP talking points ready for Monday meetings
**Trigger phrases:** "full analysis", "end-to-end review", "S&OP exception report with vendor scoring", "integrated supply chain report"
## Prerequisites
### Environment Variables
| Variable | Required For | Where to Get |
|----------|-------------|--------------|
| `ANTHROPIC_API_KEY` | Supplier Risk Assessment, Orchestrator | [console.anthropic.com](https://console.anthropic.com) |
| `TAVILY_API_KEY` | Supplier Risk Assessment (web research) | [tavily.com](https://tavily.com) — free tier available |
### Python Dependencies
```bash
pip install tavily-python anthropic openpyxl
```
The Demand Exception Analyzer uses only Python standard library (no extra packages needed).
## Sample Data Included
Each skill includes sample data files so you can try it immediately after installing:
- `demand_data_template.csv` — 6 SKUs x 6 months of sales vs forecast data
- `supplier_risk_assessment_sample.csv` — 10 global suppliers across various categories
- `sample_data.csv` — Combined demand + supplier data for orchestrator testing
## Repository Structure
```
.
├── .claude-plugin/
│ └── marketplace.json # Marketplace catalog (required for /plugin marketplace add)
├── plugins/
│ └── sciqlab-supply-chain/
│ ├── .claude-plugin/
│ │ └── plugin.json # Plugin manifest
│ ├── skills/
│ │ ├── demand-exception-analyzer/
│ │ │ ├── SKILL.md
│ │ │ ├── scripts/
│ │ │ │ └── demand_agent.py
│ │ │ └── assets/
│ │ │ └── demand_data_template.csv
│ │ ├── supplier-risk-assessment/
│ │ │ ├── SKILL.md
│ │ │ ├── supplier_analysis.py
│ │ │ ├── supplier_scoring.py
│ │ │ └── supplier_risk_assessment_sample.csv
│ │ └── multi-agent-orchestrator/
│ │ ├── SKILL.md
│ │ ├── orchestrator.py
│ │ └── sample_data.csv
│ └── requirements.txt
├── LICENSE
└── README.md
```
## Author
Built by **SCIQLab** — AI-powered supply chain intelligence.
## License
MIT License. See [LICENSE](https://github.com/tauseef-cmyk/supply-chain-multi-orchestrator-ai-agent-plug-ins/blob/HEAD/LICENSE) for details.
Details Type Plugins Topic Files & documents Publisher tauseef-cmyk Source marketplace Category Tools Stars 3 Last update 2026-04-25T04:22:42Z Project status Active Language Python License MIT Added 2026-08-30 01:48:58 Updated 2026-08-30 01:48:58 Source id tauseef-cmyk/supply-chain-multi-orchestrator-ai-agent-plug-ins/sciqlab-supply-chainMore 
