Selection is still constrained to active products
Conversational advisor
Let shoppers describe what they need in natural language.
The advisor extracts requirements such as budget, use case and feature intent, then compares them against catalog facts and semantic signals before explaining the top matches.
What this unlocks
Natural-language shopper input
Budget-aware matching
Semantic catalog comparison
Grounded answer copy
Why it matters
Built for the real MVP, not imaginary enterprise complexity.
The assistant cannot recommend products outside the catalog
Fallback explanations work without an API key
Related platform areas
Keep exploring.
Product catalog
A clean product truth layer for every guided experience.
Upload a CSV or manage products manually, then enrich each item with the categories, tags, features, buyer needs and links Sellentum needs to make reliable recommendations.
ExploreCatalog pipeline
Govern imports, enrichment and downstream catalog consumers.
Sellentum tracks CSV contracts, manual product edits, AI enrichment, semantic readiness, field coverage, downstream experiences and telemetry feedback in one catalog pipeline center.
ExploreAvailability Guard
Keep unavailable products out of every recommendation path.
Sellentum checks active product state, Buy Now URLs, imagery, merchandising overrides, configurator product links and analytics references before products reach shoppers.
Explore