Product discovery through conversation needs more than a plausible answer. Search, comparisons, suitability and requests have to connect to structured data and business workflows, with controls around what the AI can say or do.
The product connects conversational discovery with structured product and showroom search, comparisons and recommendations.
AI tool calling connects the conversation to defined capabilities. Guardrails and suitability controls are part of that design.
Saved products, supplier data, sample requests, bespoke requests and lead-time workflows connect discovery to practical next steps.
Model fallback and business integrations are part of the product experience. Together these capabilities provide a real reference for AI product development and the behaviour that Quality Engineering needs to examine.