Guides / Solutions / Ecommerce

With Algolia’s Browse solutions, you can build product listing pages and content carousels optimized for your promotional sales and business objectives.

Category page overview diagram

Benefits of using Algolia to power product listing pages:

Inspiration

To see real-world implementations of browse experiences by Algolia users, see these examples from the Inspiration Library:

These solutions show you how to take full advantage of Algolia’s tools and features with features like InstantSearch, Visual Editor, Rules, AI Dynamic Re-Ranking, Personalization, and multi-index querying to build best-in-class product listing pages.

Implementing browse pages

Analyzing how Algolia users implement browse experiences, we identify four stages in the evolution of the browse experience. See the ecommerce implementation playbook for an overview of all solutions for the ecommerce use case.

Stage 1

Create data pipeline

Create responsive and accessible category pages

Create responsive content carousels on landing pages

Configure relevance to get the best results in all situations

Add rich filtering and navigation options to front end

Stage 2

Fine tune relevance with analytics

Category merchandising

Stage 3

Add and test AI re-ranking

Search and category merchandising

  • Inject brand content
  • Inject content in promotional slots
  • Inject array of promotional content between results

AI-based merchandising

  • Inject re-ranked content in promotional slots

Personalized recommendations

  • Personalized recommendations on product listing pages
  • Personalized browse pages
  • Personalized content carousels
  • Personalized dynamic landing pages
  • Personalized recommendations with notifications
  • A/B test personalization strategies on search and browse pages

Personalized merchandising

  • Inject personalized content in promotional slots
Advanced

Add-ons to category pages

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