What is Quasiris?

Quasiris is a search and product discovery platform for e-commerce that provides AI-assisted search, faceted navigation, and personalised ranking to help shoppers find relevant products efficiently. It is designed for mid-to-large online stores where catalogue complexity and query diversity make generic search insufficient. Quasiris is planned for the Laioutr App Store as a search and recommendations integration.

How it works

Quasiris processes search queries through a semantic understanding layer that accounts for intent, synonyms, and catalogue-specific language. Ranking models are trainable on a store's own conversion data, so the engine adapts to actual purchasing behaviour over time. Once available, it will connect to the Agentic Frontend Management Platform so that search components in Laioutr storefronts can query the Quasiris engine directly, and Personalization rules can stack on top of the base ranking for segment-specific result ordering.

Quasiris with Laioutr

Teams building consumer storefronts with the B2C Growth Kit can deploy Quasiris as the search backbone within a composable frontend, using Laioutr's Personalization layer to apply segment-level result adjustments on top of Quasiris's base ranking. This keeps the ranking logic in a dedicated search engine while frontend composition and personalisation remain within the Agentic Frontend Management Platform.

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