SupplyRisk AI

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

SupplyRisk AI is an open-source, production-ready Python library designed to help organizations evaluate, monitor, and manage supplier risk using a structured, AI-assisted scoring model.

It enables procurement, sourcing, and supply chain teams to make data-driven decisions by combining multiple risk dimensions into a unified risk score.

Overview

Modern supply chains face increasing complexity due to:

Global supplier dependencies
Geopolitical and country-level risks
Financial instability of vendors
Delivery and operational disruptions
ESG (Environmental, Social, Governance) compliance requirements
Cybersecurity exposure across third-party vendors

SupplyRisk AI provides a lightweight and extensible risk engine to quantify these risks and support predictive sourcing and resilient supply chain design.

Key Use Cases

Supplier risk scoring and ranking
Procurement decision support
Predictive sourcing strategies
ESG-aware supplier selection
Third-party risk management (TPRM)
Supply chain resilience planning
Vendor onboarding and evaluation

Features

Multi-dimensional supplier risk scoring
Country, financial, delivery, ESG, and cyber risk modeling
Simple and extensible scoring framework
Lightweight and fast execution
CLI + Python SDK support
Ready for integration into ERP / SAP / Ariba workflows

Core capabilities

Supplier Risk Scoring: Generate a composite risk score based on multiple weighted factors
Predictive Sourcing: Identify high-risk suppliers early and support better sourcing decisions
ESG Risk Evaluation: Incorporate sustainability and governance factors into supplier selection
Cyber Risk Awareness: Assess third-party cyber exposure risks
Supply Chain Resilience: Improve decision-making under uncertainty and disruption scenarios
Integration Ready: Can be embedded into procurement analytics pipelines and enterprise systems

Install

pip install supplyrisk-ai

Python Usage

from supplyrisk_ai.core import SupplierRiskInput, score_supplier_risk

items = [
    SupplierRiskInput(
        supplier="SupplierA",
        country_risk=20,
        financial_risk=40,
        delivery_risk=30,
        esg_risk=10,
        cyber_risk=50
    )
]

scores = score_supplier_risk(items)

for s in scores:
    print(f"{s.supplier}: Risk Score = {s.total_score}")

CLI Usage

supplyrisk score supplier_risk.csv

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

Build and Publish

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

MIT License

Author: Jagadeesh Vasanthada