Case Study: Vetted achieves real-time, low-latency AI shopping recommendations with Groq

Leverage AI to make smarter, more informed shopping decisions with a powerful, real-time research assistant

Vetted is an AI-powered shopping assistant that guides users through product research and purchasing via a natural-language chat interface. Faced with a fragmented, slow online research experience—where shoppers must sift reviews, social posts, and disparate sources—Vetted needed low‑latency, multi-model inference to deliver instant, trustworthy recommendations. To solve that, Vetted is Powered by Groq’s fast AI inference.

Using Groq’s inference platform, Vetted processes large, diverse datasets (reviews, social threads, pricing and specs) and runs multiple models in real time to suggest follow-up questions, surface source material, and deliver actionable product recommendations. Groq’s speed and low latency enable instant responses in Vetted’s chat UI, helping shoppers make faster, more confident decisions and extending the assistant’s use beyond products to services like restaurants, movies, and books.

Vetted