How We Tracked a Silent Checkout Failure Using Hindsight

Most customer feedback tools process incoming support tickets and reviews as isolated, single-point events. A user complains about a slow button today, another reports a timeout five days later, and a third mentions abandoning a cart next week. Traditional LLM summarizers run periodic batch jobs over these inputs, but because they lack a persistent temporal memory bank, they fail to connect subtle signals evolving over time.

We built ProductPulse —a customer feedback intelligence workspace built with React, Express, PostgreSQL, Prisma, Groq ( openai/gpt-oss-120b ), and Vectorize agent memory —to solve this specific gap.…