#At a Glance: Similar to the way Amazon does it, we've built this system based on a number of simple elements: what a user has bought in the past, which items they have in their virtual shopping cart, items they’ve rated and liked, and what other customers have viewed and purchased. Amazon calls this homegrown math “item-to-item collaborative filtering,” and it’s used this algorithm to heavily customize the browsing experience for returning customers. A gadget enthusiast may find Amazon.

• Increase sales and improve customer satisfaction.
• Relevant and personalised product recommendations.
• Easy installation process and customisable styling to match your brand.
• Hand-pick Cross Sell recommendations on a per-product basis.
• Relevant Product suggestion - drive more sales.