Find™: Personalized eCommerce Search

Redefine eCommerce site search with AI-driven personalization
Our Customers
Experiences

Drive Higher Engagement with More Control and Interactivity

Combine visually dynamic eCommerce search with self-driving AI. Layer it with advanced business controls for the most eCommerce-ready search.

Powerful Boosting and Filtering
Ensure user searches are successful and your business goals are met, by leveraging conditional boosting, burying, filtering, and search term linking. Maximize the effectiveness of your eCommerce product search engine by fine-tuning search results.
Combined Content and Catalog Search Results
Engage customers by returning not just the most relevant products but also related informational content. Integrate brand videos, blogs, recipes, and guides with the results to create memorable shopping moments.
Machine Learning Search Algorithms
Continuously improve your eCommerce search results with machine learning search algorithms that leverage Wisdom of the Crowd and other strategies. Expand the synonym library based on shoppers’ previous searches and behavior to avoid “No results” and ensure relevance.
Real-time Catalog Updates

Ensure your commerce catalog is indexed in real time, so that shoppers get the latest information on price, availability, and other attributes. Make obsolete and irrelevant results and stock-outs a thing of the past.

Our Core Values

Unlock the True Potential of eCommerce Site Search

Move from legacy, one-size-fits-all search to personalized search to dramatically improve your conversions, engagement, and revenue per visit. Ensure your customers quickly find what they exactly need by implementing advanced e-commerce product search engines.

Use Behavioral Data to Personalize Results
Boost engagement and conversion rates by delivering unique, contextual results based on a shopper’s intent behind the search query, as well as their real-time behaviors across recommendations, content, and more.
More Finding, Less Searching
Searching is not the same as finding. Leverage AI and machine learning to display the most relevant products in your catalog upfront, increasing customer satisfaction and revenue with every query.
Visually Engage and Delight
Deliver a visually engaging, immersive eCommerce site search experience, returning new products and keywords with every keystroke, and continuously refining the items displayed onscreen as a shopper types their search query.
Other tools

Explore other eCommerce search solutions from our end-to-end personalization software, and learn how they enable individualized experiences at shopper touchpoints beyond search.

Other eCommerce Personalization Tools

Discover™

Eliminate decision fatigue by presenting the most relevant products upfront and dynamically re-sorting category pages as per a shopper’s real-time intent.

B2B Find™
Deliver exceptional, B2C-like personalized experiences to your B2B shoppers.
Customer Success Stories

What Leading Brands Say About Our Personalization Solutions

FAQ

FAQs

Our research revealed that 50% of people can’t find what they’re looking for when they search. Personalized, self-learning eCommerce search results significantly boost product discovery, making it a crucial strategy for digital revenue growth.

Find uses a metric known as Findability™ Score that considers click thru, pagination, and bounce rate to quantify the success of each eCommerce search query. Since the goal is to help shoppers get to what they’re searching for as quickly as possible, Findability increases the shorter their journey is. This enables marketers to measure and optimize results to maximize conversions and revenues.
Find has real-time business controls to blend personalization, Wisdom of Crowds, and specific business objectives such as merchandising and margin management.
Find uses a combination of Solr, open-source search technology, enriched with Personalization AI, Wisdom of the Crowd based self-learning capabilities, streaming catalog ingestion, and business controls. Individual user affinities and behavior are used to deliver the most relevant search results, while aggregated user queries help with automated learning and eliminating zero 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.

Our clients have experienced significant growth in KPIs from using Find: +28% Overall Revenue Per Session +20% Items Purchased from Site Search – 6% in search bounces/search exits Reduced zero-results scenarios

Our Resources

Draw Inspiration From Our Personalization Resources

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Get in Touch

Unleash the True Potential of Personalized Search in eCommerce

40% of revenue comes from sessions that search. Shoppers are likely to bounce if search does not return relevant results. Use Algonomy Find to enable contextual relevancy and boost product discovery in every search experience. Fill out the form, and one of our search experts will get in touch shortly.
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