Thursday, 23 January 2014

Product recommandations

You have hundreds of categories of products, and in each category thousands of products. Helping the customer to get what he wants, i.e personalized or useful recommendations boost your conversation ratio. Product recommendations solve this problem by learning the behaviors of your site visitors on an individual and aggregate level, and understand product correlations and suggest suitable matches. Let’s see few examples:

If I see product page of Alchemist book on Amazon, it recommends other books of its author and other same genre books. 

On Boss audio system page few of its accessories and similar products in other brands.
For a Samsung mobile phone page, its flip cover and similar products