intellisourcelens 0.1.0

AI-powered sourcing and procurement analytics with supplier scoring, optimization insights, and responsible AI checks.

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.

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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.

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Installation

pip install intellisourcelens