Our agents work as one intelligence loop, sharing signals from catalog, reviews and customer behaviour, so every recommendation is smarter, faster and grounded in the full picture.
The Catalog Agent learns from search, browsing, conversion and feedback. As behavior changes, it improves how products are organized, enriched and surfaced.
With our Catalog Agent, discovery improves continuously:
β’ Products are grouped more naturally.
β’ Variants are easier to navigate.
β’ Attributes reflect real customer language.
β’ Failed searches become opportunities to improve structure.
Adapts grouping, ordering and attributes around the searches most likely to convert.
Surfaces products that naturally belong together across real customer journeys.
Finds failed searches and fills the gaps in structure, tagging and product context.