Community Add-Ons

Bug fixing version.

Change log:

+ [OSCPLUGIN-13] - Change user logged feature : retrieve email instead of user identifier.
+ [OSCPLUGIN-14] - (delayed).
+ [OSCPLUGIN-15] - Modify description in order to send an empty string instead of full description.
+ [OSCPLUGIN-16] - cPath and categories : new strategies to be applied.
+ [OSCPLUGIN-17] - Prices from 1000u. are not tracked correctly.
+ [OSCPLUGIN-18] - Some discontinued events are tracked without ID.

Bug fixing version.

Change log:

+ [OSCPLUGIN-12] - Unexpected index.php loading whenever widget is rendered.

Bug fixing version.

Change log:

+ [OSCPLUGIN-11] - Invalid product link in recommendations widget: unexpected '&' at the end of URL.

Bug fixing version completely compatible with version 1.0.0. You don't need to update your database configuration. Only replace module files (full package). That's all.

Change log:

+ [OSCPLUGIN-1] - Include the session ID in the widget links to avoid session loss.
+ [OSCPLUGIN-2] - UTF-8 characters not correctly shown in widget when other encoding is used instead.
+ [OSCPLUGIN-3] - Current currency not found in session due to expiration.
+ [OSCPLUGIN-4] - Invalid argument supplied for foreach() iterating $cPath_array on discontinued products.
+ [OSCPLUGIN-5] - Strip whitespace (or other characters) from the beginning and end of product description.
+ [OSCPLUGIN-6] - Include cPath query parameter in product URL to deal with multiple categories.
+ [OSCPLUGIN-7] - Apply conversion rate for every individual purchased product price.
+ [OSCPLUGIN-8] - Include taxes in product price according to "My Store" configuration.
+ [OSCPLUGIN-9] - "Powered by Blueknow" widget footer overlapped.
+ [OSCPLUGIN-10] - Apply currency conversion rate in product price.

Module that allows cross-selling in the product template and up-selling in the shopping cart. The module is based on a recommendation service similar to that used by Amazon in their own shop. The basis of recommendations are product purchases and visits by users. They are used to display the most relevant products to the user. It has been demonstrated that Blueknow recommender can increase sales between 10% and 30% and is able to recommend products in 70% of orders made.

For more information please visit http://www.blueknow.com