Search Candy rewrites onsite search for ecommerce catalogs using generative AI that parses shopper intent rather than matching keywords. Merchandisers connect product feeds and storage backends, then surface results through conversational prompts that customers can refine in natural language. Conversion tracking ties query patterns to revenue outcomes, giving search and merchandising leads a feedback loop. The free tier targets mid-market DTC teams testing AI search before committing to Algolia, Constructor, or Bloomreach.
> what it does for ecommerce
- Parses shopper intent through generative AI instead of keyword matching logic
- Connects to multiple data storage backends for product catalog ingestion
- Tracks conversion outcomes against specific search queries and sessions
- Supports conversational prompts so shoppers refine results in natural language
- Offers free access, useful for piloting against incumbent search vendors
> Search Candy use cases
> Search Candy key features
- Generative AI-powered search
- E-commerce data integration
- Customer conversion tracking
- Conversational prompts for data retrieval
- Support for multiple data storage solutions
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