Amazon's New AI Boosts Ad Campaign Accuracy by 90% Using LLMs

Amazon researchers have unveiled Campaign-2-PT-RAG, a new framework that uses Large Language Models (LLMs) to solve a major e-commerce problem: linking vague marketing campaigns to actual product purchases. The system interprets campaign language, semantically searches a product taxonomy, and classifies relevant product types to generate training data for ranking models. It achieves 78-90% precision and over 99% recall in labeling, enabling scalable optimization of ad campaigns.