Voice AI Shopping Assistant (Retell + RAG + Shopify)

Overview: A voice agent that recommends products in real time by understanding the entire catalog.

🔍 Problem: Shoppers ask for recommendations in natural language ("something for dry skin under $30"), but standard search can't reason over a catalog or answer conversationally — so customers bounce.

💡 Solution: A Retell voice agent backed by retrieval-augmented generation (RAG): the whole product catalog is embedded into a vector store, and an AI agent retrieves the most relevant items and answers conversationally over a webhook.

Workflow Architecture: • Catalog embedding — product data embedded with OpenAI, loaded into a vector store. • Voice layer (Retell) — natural, real-time voice conversation. • Recommendation agent (RAG) — retrieves the most relevant items for the shopper's request. • Storefront wiring — connected to a live Shopify catalog over a webhook.

🛠 Tools: Retell (Voice AI) · OpenAI embeddings · Vector store (RAG) · n8n AI Agent · Shopify · Webhooks

⚙️ Results: Conversational product discovery in real time · recommendations grounded in the real catalog (no hallucinated products) · works hands-free over voice.

🌟 Impact: Turns a catalog into a knowledgeable assistant that guides shoppers to the right product — the kind of help that lifts conversion and average order value.