Building a Government Contract Matching Engine That Actually Works

📰 Dev.to AI

Learn how to build a government contract matching engine that works, leveraging data science and AI to streamline procurement processes

advanced Published 30 Apr 2026
Action Steps
  1. Build a data pipeline to extract government procurement data from sources like SAM.gov's API
  2. Configure data processing to handle inconsistent field formats and missing NAICS codes
  3. Apply natural language processing to extract solicitations from PDFs
  4. Train a machine learning model to score contract opportunities against a contractor's profile
  5. Test and deploy the matching engine using a framework like Docker and Kubernetes
Who Needs to Know This

Data scientists, software engineers, and product managers on a team can benefit from this article to improve government contract procurement processes

Key Insight

💡 A well-designed government contract matching engine can save time and increase efficiency in procurement processes by leveraging data science and AI

Share This
💡 Build a gov contract matching engine that works! Leverage data science & AI to streamline procurement #govtech #datascience
Read full article → ← Back to Reads