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Case studies
AdLibris

 
 
 

AdLibris is one of the largest online bookstores in Scandinavia recognized for offering the market's lowest prices, fast deliveries and premium customer support. The company was founded in 1997 and offers more than two million book titles in a variety of categories. The increasing number of titles together with aggressive growth in client online orders brought also real challenges.  

 “We had been on the lookout for a good search engine for a long time but had not been able to find one that could meet all our demands. We needed a search engine that was able to give good results even if the user didn’t know the exact title or spelling of an author’s name, furthermore we needed the search engine to be language independent. The Adeptic’s search engine didn’t only give us this but also delivered lightning fast searches and was easy to adapt to our environment”, says Fabian Fischer cofounder of AdLibris.

As opposed to conventional search where the user should normally act as a search engine narrowing down the search criteria, AdLibris requirements was to simplify the search process even further. The user may be able to input a search keyword close to the intended result regardless of the type of information i.e. title, author ISBN etc... The search engine should suggest the closets possible hits.

AdLibris turned to Adeptic Technologies to implement a solution based on Adeptic Enterprise Search Suite (AESS) as its main search tool. Working together with Adeptic, AESS was integrated into AdLibris technical environment. The solution was tuned and configured based on AdLibris requirements. A total number of 20 indexes were generated. All indexes are refreshed on daily basis.

“We used MS SQL Server for all indexing operations before. Indexing 2 million books took almost 6-8 ours. After we installed AESS, the average indexing time for the same amount of data was reduced to 8 minutes”, continues Fabian Fischer.

Before AdLibris implemented the AESS, almost 30% of all searches returned no result due to customers misspelling the search word. Now this problem is completely gone. The results are stunning.”

 

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