About the company
AdLibris is one of the largest e-bookstore in Scandinavia and boasts to have the market's lowest prices. The company was founded in 1997 and has always been in the frontier of the development, for instance with WAP-services and as a reseller of e-books since 2000. AdLibris has on several occasions been noticed for their low prices, their fast deliveries and good service.



The Challenge
AdLibris is continuously looking for improvements when it comes to increasing their functionality, customer satisfaction and of course sales. One of their main focuses in achieving this has been personalization, i.e. giving each and every customer offers satisfying their specific wants and needs regarding books. The challenge had so far been to find a software tool that was able to handle AdLibris' tough requirements concerning performance, functionality and cost-benefit ratio.

Strategy & Approach
Since AdLibris already fully understood the potential of addressing every customer with tailor-made recommendations of books to buy, they very soon started to look into the Product Predictor. When evaluating the Predictor they soon realized that this software met their requirements and together with Avail Intelligence they decided how the software could be of best use in the E-Commerce solution.



Solution

Solution Brief
Customer	AdLibris
Software	Product Predictor
Area of Use	Webshop www.adlibris.se
Platform	Windows 2000
Database	MS SQL 2000
Time for integration	1 day
Results	9.7% of all the books purchased was directly related to the Product Predictor and more than 20% of all recommendations given resulted in the customers wanting to look closer at the books being recommended.

After just eight hours of integration, AdLibris was up and running with the Product Predictor in full use. Using in-house competence, they did the integration and testing themselves - from database connection to user interface.
To be fully aware of the potential of the Product Predictor AdLibris then started to analyze the impact the Predictor had on AdLibris' sales as well as customer loyalty and the result was even better than AdLibris would have hoped for.
"Of all the books purchased at www.adlibris.se during the time of the analysis as many as 9.7% of all the books purchased was directly related to the recommendations made by Product Predictor. Also worth mentioning is the fact that more than 20% of all recommendations being made lead to the customers wanting to look closer at the books being recommended. Both these numbers have by far exceeded our expectations," says Johan Arvidsson at AdLibris.
The result of the analysis is a strong proof of the fact that our customers really appreciate receiving personalized recommendations, Johan Arvidsson continues. "We have also discovered that it is twice as common that customers buy the books being recommended by the software than buying from any of our top lists. The great result from the analysis along with the fact that the Product Predictor only took a couple of hours to implement and hasn't required any maintenance since day one, make us wanting to see how we can benefit from using the software in other ways as well."