We implemented an AI support assistant for a global retailer using a RAG pipeline connected to their knowledge base. The system reduced ticket volume and delivered instant responses across 12 markets.
73% of tickets were repetitive, response times were slow, and knowledge lived across seven systems. Scaling support cost more each quarter.
A retrieval‑augmented AI assistant that pulls verified answers from structured sources, generates consistent responses, and routes complex cases to human agents with full context.
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