https://www.infoq.com InfoQ Evolutionary Architecture News feed https://www.infoq.com/news/2026/06/target-ai-campaign-forecasting/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Evolutionary+Architecture-news <img src="https://res.infoq.com/news/2026/06/target-ai-campaign-forecasting/en/headerimage/generatedHeaderImage-1780529558601.jpg"/><p>Target built a generative AI system to improve marketing campaign forecasting by retrieving and ranking similar historical campaigns. Using embeddings, vector search, and LLM ranking, it replaces rule-based workflows. Evaluation shows 75% top-1 and 100% top-3 coverage. The system reduces manual effort, improves consistency, and uses feedback loops to refine retrieval using campaign outcomes.</p> <i>By Leela Kumili</i> Systems Thinking Retrieval-Augmented Generation Large Concept Models vector databases Data Analytics Observability Evolutionary Architecture MLOps Machine Learning Marketing Generative AI Model Fine Tuning Business Analytics Architecture & Design Development AI, ML & Data Engineering news Mon, 29 Jun 2026 14:26:00 GMT https://www.infoq.com/news/2026/06/target-ai-campaign-forecasting/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Evolutionary+Architecture-news Leela Kumili 2026-06-29T14:26:00Z /news/2026/06/target-ai-campaign-forecasting/en