Target built a new GenAI system to overhaul marketing campaign forecasting by retrieving and ranking similar historical campaigns.
Instead of relying on rule-based workflows, it uses embeddings, vector search, and LLM-based ranking to identify the most relevant past campaigns.
Read #InfoQ to see how the system performed 👉 https://bit.ly/4p0w8Uh
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.
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