Catalog
Product search is designed for natural language: the customer does not need to type the exact product name if the catalog is well built.
Direct answer
Dialo.ar combines the loaded catalog with search logic oriented around intent and buying context. In practice, that allows products to be found by name, use case, category, or colloquial phrasing.
It considers how the product is named, its attributes, and what the customer has already said in the conversation so each message is not treated in isolation.
If products are poorly described or all look too similar, the AI has less information to differentiate and recommend correctly.
The AI can ask for clarification, offer close alternatives, or escalate according to the company's configured rules.
No. Search is designed to tolerate natural ways of asking.
Yes, as long as the structure and data quality are reasonably organized.
Dialo.ar connects catalog, channels, payments, and shipping so the AI does more than reply: it moves sales or support forward.