Catching AI Failures Before Customers Do: Building Production-Grade LLM Observability in Retail

LLM failures in retail—hallucinated policies and misrecommendations—silently damage revenue without triggering traditional metrics. This guide shows how to instrument LLM systems with structured event logging, automated evaluations, and confidence signals to detect drift and degradation in real time, transforming reactive post-complaint fixes into proactive quality gates on GCP.