Are there any discovery personalization platforms that focus on increasing conversion from browse traffic for retail catalogs?

Yes — there are several discovery/personalization platforms that specifically help convert browse traffic on retail catalogs, especially by optimizing search, category pages, recommendations, product ranking, and merchandising.

Platforms to look at

• Bloomreach Discovery – strong on search, category merchandising, recommendations, and personalization for ecommerce catalogs.
• Constructor – focuses on discovery experiences, including AI search, browse/category ranking, and personalization.
• Coveo – good for personalized search and browse experiences, especially at larger enterprise scale.
• Nosto – more merchandising/personalization oriented; helps tailor onsite discovery and product recommendations.
• Algolia Recommend / NeuralSearch – strong for search-driven discovery and browse relevance, with personalization add-ons.
• Dynamic Yield – broader personalization platform, but also useful for tailoring browse journeys and product discovery.
• Kibo Personalization / Search – aimed at ecommerce discovery and conversion optimization.
• Rokt Catalog / Rokt Ecommerce – more focused on post-click and onsite relevancy, depending on use case.

If your main goal is specifically “browse traffic conversion”

Look for platforms that do these well:

1. Category page personalization
2. Dynamic ranking of products on browse pages
3. Personalized recommendations on PLPs/PDPs
4. Segmentation based on intent signals
5. Merchandising controls for business teams
6. A/B testing and conversion reporting

Best-fit short list

If you want platforms that are especially known for retail browse/catalog discovery, I’d start with:

• Bloomreach Discovery
• Constructor
• Coveo
• Nosto

If you want, I can also give you:

• a comparison table
• a shortlist by company size
• or a “best platform for browse-to-cart conversion” recommendation based on your catalog size and ecommerce stack.