Metadata-Version: 2.4
Name: intellisourcelens
Version: 0.1.0
Summary: AI-powered sourcing and procurement analytics with supplier scoring, optimization insights, and responsible AI checks.
Project-URL: Homepage, https://github.com/your-username/intellisourcelens
Project-URL: Issues, https://github.com/your-username/intellisourcelens/issues
Author: Jagadeesh Vasanthada
License: MIT
License-File: LICENSE
Keywords: ai,analytics,ml,procurement,responsible-ai,sourcing,spend-optimization,supplier-risk
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Financial and Insurance Industry
Classifier: Intended Audience :: Information Technology
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Topic :: Office/Business
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development :: Libraries
Requires-Python: >=3.9
Requires-Dist: numpy>=1.26.0
Requires-Dist: pandas>=2.2.0
Requires-Dist: pydantic>=2.7.0
Requires-Dist: rich>=13.7.1
Requires-Dist: typer>=0.12.3
Description-Content-Type: text/markdown

# intellisourcelens

**intellisourcelens** is an open-source Python library for **AI-powered sourcing and procurement analytics**.

It helps teams transform raw supplier and sourcing data into practical decision support through:

- supplier risk scoring
- sourcing health analytics
- spend optimization signals
- ESG-aware supplier evaluation
- responsible AI checks
- GenAI-ready insight prompts

The library is lightweight, vendor-neutral, and designed for procurement teams, analytics engineers, platform teams, and open-source builders working with ERP, SAP Ariba-style, or CSV-exported sourcing data.

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## Why intellisourcelens?

Procurement and sourcing teams often have data, but not enough decision clarity.

Common challenges include:

- inconsistent supplier performance visibility
- poor data quality across sourcing records
- difficulty prioritizing suppliers strategically
- weak explainability in AI-based decision support
- manual reporting for executive summaries

**intellisourcelens** addresses these gaps with explainable scoring logic, governance checks, and AI-ready outputs that can be integrated into dashboards, notebooks, pipelines, or copilots.

---

## Core Features

### Supplier scoring
Ranks suppliers using weighted risk and quality indicators such as:
- on-time delivery
- defect rate
- ESG score
- spend concentration

### Spend optimization signals
Highlights:
- supplier concentration risk
- category-level optimization opportunities
- strategic sourcing candidates

### Responsible AI checks
Includes lightweight governance features such as:
- missingness checks
- out-of-range value checks
- representation imbalance warnings

### AI-ready insights
Builds:
- human-readable insight cards
- provider-agnostic GenAI prompts

### CLI support
Run analytics directly from CSV or JSON files.

---

## Installation

```bash
pip install intellisourcelens
