This document describes a digital advertising system that uses artificial intelligence and data analytics. The system collects user browsing data through a supply-side platform and deep packet inspection. It analyzes the data to understand user interests and behaviors. A web crawler collects product information from other websites. The system then recommends advertisements for relevant products to users on other websites based on their browsing history. This provides a more personalized advertising experience that is more effective for marketing. The implemented system aims to automate targeted advertising delivery using machine learning models to analyze user data in real-time and improve over existing systems.