Metadata-Version: 2.4
Name: supplyrisk-ai
Version: 0.1.0
Summary: AI-assisted supply-chain risk scoring toolkit for suppliers, ESG, resilience, and predictive sourcing.
Author: Raghava Chellu
License: MIT
Project-URL: Homepage, https://github.com/raghavachellu/supplyrisk-ai
Project-URL: Repository, https://github.com/raghavachellu/supplyrisk-ai
Project-URL: Issues, https://github.com/raghavachellu/supplyrisk-ai/issues
Keywords: sap,ariba,erp,procurement,supply-chain,analytics,ai,automation,p2p
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: typer>=0.12.0
Requires-Dist: rich>=13.7.0
Provides-Extra: dev
Requires-Dist: pytest>=8.0.0; extra == "dev"
Requires-Dist: build>=1.2.0; extra == "dev"
Requires-Dist: twine>=5.0.0; extra == "dev"
Dynamic: license-file

# SupplyRisk AI

**AI-assisted supply-chain risk scoring for predictive sourcing, ESG, resilience, and supplier strategy.**

SupplyRisk AI provides a lightweight scoring engine for supplier risk across country, financial, delivery, ESG, and cyber dimensions.

## Install

```bash
pip install supplyrisk-ai
```

## Python Usage

```python
from supplyrisk_ai.core import SupplierRiskInput, score_supplier_risk

items = [SupplierRiskInput("SupplierA", 20, 40, 30, 10, 50)]
print(score_supplier_risk(items))
```

## CLI Usage

```bash
supplyrisk score supplier_risk.csv
```

CSV columns: `supplier,country_risk,financial_risk,delivery_risk,esg_risk,cyber_risk`

## Build and Publish

```bash
python -m pip install --upgrade build twine
python -m build
twine check dist/*
twine upload dist/*
```
