Simplifies navigation with automatic filters over search results
Understands human language and immediately returns relevant results
Analyzes product images and searches by real colors
Kea Labs searches instantly fast and suggests items as visitor types
Profit boosting algorithms evaluate potential profit and adjust search results to earn extra money
Kea Labs search is flexible and can be easily tuned for specifics of your store
Kea Labs Search returns relevant results instantly. It understands search queries, cares about a context, and deeply analyses products, including description and characteristics.
Kea Labs makes navigation easier with dynamic filters. It automatically groups results based on theirs properties, such as price, category, size or brand name.
The key necessity for every Search Engine is to understand what customers are looking for. They may do a spelling errors, typos, use different forms of words, inflections or synonyms.
A good search should not only understand those linguistic aspects, but adjust the results based on user preferences and current trends.
Kea Labs searches within any text content, understands phrases and relations between words.
Kea Labs Search is truly multi-lingual: it supports most of European languages.
Spell correction module fixes typos with help of dictionaries, linguistic rules and is adapted to your data.
Search understands synonyms and abbreviations. It's very easy to customize it with your own synonyms.
Kea Labs platform constantly improves relevance based on popularity of search queries, their results and user actions
It also uses a power of Similar Products algorithm from our Recommendations Service, which makes search results even better.
For example: in winter customers are more interested in warm jackets.
How does the search detect this trend?
Recommendations Engine compares product characteristics and detects similar items.
It joins products into groups, such as: "winter jackets"
A popularity score gets calculated for each group of products
This popularity score is used by Kea Labs Search platform
Kea Labs extracts real colors from product photos and groups them into a palette optimized for a human eye.
Color filters make it possible to find product with a real color of items.
Kea Labs identifies trend insights and adjusts relevancy for showing products with a higher demand.
Product comparison algorithm is heavily used here for detecting similar items and search queries. It makes quicker reaction for changes on demand
Kea Labs near in real-time analyses the whole path of users before and after search, and identifies insights to your management and merchandisers.
Search analytics allows you to evaluate search quality, measure impact of search to conversion, understand customer demand, and helps to guide your business decisions