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Target built a generative AI system using embeddings, vector search, and LLM ranking to retrieve and rank similar historical campaigns for marketing forecasting. The system replaces rule-based workflows, achieving 75% top-1 and 100% top-3 coverage while reducing manual effort and improving consistency through feedback loops.
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