Discover: Personalized Browse and Navigation

Transform static product listings into dynamic, personalized experiences that drive discovery and conversions.

2025 Magic Quadrant™ for Search and Product Discovery

Commerce Search Solutions Landscape, Q2 2025

2025 MarketScape on Worldwide Retail GenAI Product Search, Discovery and Recommendations

Our Customers

Leading brands across the globe have grown their revenue with Algonomy’s eCommerce personalization software.

Create a Dynamic Shopping Experience

Re-sort the product display in real time, instantly matching the shoppers’ current and past preferences as they browse, as if you were re-arranging the in-store display for every visit.

Get fine-grained control over your merchandising

Fine-tune your product, browse and catalog rules with controls for merchandising, boosting, blacklisting, exclusions etc.

Easily personalize by attributes

Customize the importance placed on different attributes, including product, price, newness, brand, category affinities, etc.

Increase Browse and Navigation Click Thru

Lift engagement and get past decision fatigue by surfacing the most relevant products on your category pages – be it on the web or mobile store.

Personalized Sorting

Eliminate the effort for customers to dig deep into product catalogs to locate the products they prefer by presenting the most relevant products upfront.

Dashboard Reports

Get visual insights into key performance metrics and understand the impact of your browse and navigation personalization within minutes.

Test
and Optimize

Rapidly test different configurations with A/B and MVT capabilities to determine the most impactful personalization settings for your shoppers.

Mobile Configurations

Eliminate the effort for customers to dig deep into product catalogs to locate the products they prefer by presenting the most relevant products upfront.

Explore Other Product Discovery Solutions

Find™
Personalized Search

Deliver unique, contextual search results based on the individual shopper’s behavior. Eliminate instances of zero results with search that learns from the wisdom of crowds.

Agentic Commerce

Deliver faster paths to purchase with guided, personalized shopping experiences, powered by agentic AI that keeps shoppers engaged and drives higher conversions.

Recommend™ Personalized Product Recommendations

Deliver contextually relevant product recommendations across all touchpoints with a pre-built library of 150+ strategies

Ensemble AI

Guide and inspire your shoppers with stunning outfits at key touchpoints—driving higher conversions and order values.

See it in action

FAQs

  • Reduced effective acquisition spend: Helps increase conversion per acquisition with dynamic landing and product listing pages that re-organize listings and facets in real time with respect to a shopper’s preference.
  • Increased customer satisfaction: Shows relevant products to individual customers as they shop. Customers don’t have to dig deep into catalogs and shuffle through multiple pages to find the products they prefer.

Our clients have implemented Discover to drive engagement, clickthrough rate, and revenue per visit.

Yes. Discover offers self-service controls:

  • Manual Merchandising: Determine which products always appear at the top of a returned list across the site and specific categories.
  • Blacklist & Restrict: Control which products aren’t displayed in certain contexts: site-wide or by category, strategy, or page.
  • Coat-tail Boosting: Promote and reveal new brands by ranking them to match/coattail similar, established brands.
  • Boosting: Promote products to the top of the list, defined by any attribute you choose. Interleave long-tail products within the top results.

Yes. Personalization should respect your business and merchandising commitments. Through a simple user interface, merchandisers can set custom weights for different attributes such as brand, category, price, newness, and more. In addition, personalization delays can be set to impact how quickly you want to influence search results.

For new or unknown shoppers, the algorithm uses global weights to sort products and ensure relevance. These global ranks display the most popular/trending items being viewed or purchased, or items that have a high contribution to revenue. As the shopper starts interacting with items, the results get further personalized and influenced by their real-time behavior.

Algonomy understands the unique needs of different retail segments and has proven expertise with the verticals of fashion & apparel, grocery and hypermarkets, convenience stores, restaurant/QSR, specialty, pharma & healthcare, beauty, consumer electronics, B2B, and more.