Procurement Analytics · Python · Streamlit

Supplier Performance & Spend Intelligence Dashboard

A practical procurement analytics application that turns messy supplier spend files into spend insights, supplier categorization, rationalization opportunities, directional savings estimates, and procurement action recommendations.

PythonStreamlitPandasPlotlyOpenPyXLPytestProcurement AnalyticsData Quality

Core Features

CSV and multi-sheet Excel upload

Automatic column alias mapping for real-world spend files

Extra, context, and unmapped column reporting

Rules-based supplier and spend categorization

Classification confidence scoring and review flags

Invoice date parsing with year, quarter, and month fields

Supplier/category aggregation for transaction-level files

Spend dashboard with supplier, category, region, business unit, and trend views

Supplier rationalization opportunity engine

Directional savings estimate ranges

Grouped procurement recommendation initiatives

Downloadable CSV and Excel outputs

What It Demonstrates

This project combines procurement domain expertise with hands-on analytics engineering. It shows how I think about messy business data, product workflow design, spend analytics, category strategy, supplier rationalization, savings estimation, and executive-facing insight generation.