Collaborative Searcher™ is an integrated module of the Avail eMarketing Suite™ that gives your eCommerce site visitors an intelligent way of searching, discovering, navigating and being recommended products – faster and more relevant than any other eCommerce search solution in the world. The results are immediate and measurable contributions to conversion rates and average order values.

Business advantages of Collaborative Searcher™
Superior relevance – superior conversion rates
State-of-the-art search algorithms combined with Avail’s success-proven collaborative filtering technology delivers best-in-class search relevance – resulting in superior conversion rate of searching visitors into buying customers.

World-class ease-of-use and user forgiveness
The fuzzy search and associative logic solves one of the most important problems of eCommerce search – to deliver relevant search results (and avoid a lost sales opportunity) even though the visitor doesn’t necessarily know what to search for or how it spells. To exemplify, Collaborative Searcher™ will be able to find the book “Multihull Sailing” for a visitor to a book site, even if the visitor uses “catmarran cruisng” (misspelled, wrong synonyms) as search criteria.

Examples of features

• Superior relevance in search results
• Fuzzy searches compensates for user spelling mistakes
• Uses the search patterns of other users to achieve more relevant results
• Advanced multi-language sorting on names, prices and dates
• Advanced filtering on categories or any arbitrary rule
• Lets the users navigate the product space using clusters of words
• Seamless integration with other modules of the Avail eMarketing Suite™

World-class performance and scalability
Collaborative Searcher™ is up to a hundred times faster than other eCommerce search engines on comparable hardware. On an ordinary desktop on a large dataset Collaborative Searcher can make close to a hundred searches per second*. Even more impressively, it achieves linear scalability between performance and size of underlying data sets.

*Computer: 2.16 GHz Intel Core 2 Duo. Data set: three million products with titles and authors searchable. Number of searches per second: 83. Average search phrase: 2.8 words. Peak memory footprint: 500 MB. Initial index time: two minutes.