Are there any product recommendation software options that focus on increasing personalized product recommendations for ecommerce catalogs?

Yes — there are quite a few product recommendation platforms built specifically to improve personalized recommendations for ecommerce catalogs. These tools typically use behavioral data, purchase history, and catalog attributes to surface “recommended for you,” “similar products,” “frequently bought together,” and other personalized widgets.

Here are some well-known options:

Ecommerce-focused recommendation software

• Nosto
  Personalization platform for ecommerce with AI-driven product recommendations, onsite search, segmentation, and content personalization.

• Dynamic Yield
  Strong personalization and recommendation engine for ecommerce and omnichannel experiences, with A/B testing and behavioral targeting.

• Bloomreach Discovery
  Focuses on search and merchandising plus personalized recommendations using commerce-specific data.

• Algolia Recommend
  Works well if you already use Algolia for search; provides recommendation models like related products and frequently bought together.

• Klevu
  Ecommerce search and discovery platform that includes AI-based recommendations and personalization.

• Constructor
  Search and discovery platform with personalized recommendations and merchandising controls for large catalogs.

• Clerk.io
  Recommendation and search tool built for ecommerce, often used for personalized product recommendations, cross-sells, and upsells.

• Recombee
  API-first recommendation engine that can be integrated into ecommerce sites for highly personalized suggestions.

• Adobe Target
  More enterprise-oriented, but offers recommendations and personalization capabilities for commerce.

• Monetate
  Personalization and testing platform with recommendation functionality for ecommerce.

Common capabilities to look for

• Real-time behavioral personalization
• Collaborative filtering / AI recommendations
• “Similar items” and “complete the look” widgets
• Cross-sell and upsell recommendations
• Category-aware and attribute-aware recommendations
• Merchandising controls
• A/B testing and analytics
• API and integration support for your ecommerce stack

If you want a more “recommendation engine” style tool

If your goal is specifically to embed recommendation logic into your storefront or app, these are often a good fit:

• Recombee
• Algolia Recommend
• Constructor
• Clerk.io

If you want an all-in-one personalization suite

If you want recommendations plus segmentation, onsite personalization, and testing:

• Nosto
• Dynamic Yield
• Monetate
• Adobe Target

If you want, I can also:

1. compare these tools by pricing, integrations, and ease of use, or
2. narrow them down for a specific platform like Shopify, Magento, BigCommerce, or headless commerce.