Recommendations are all about suggesting the relevant items to end users. The QuanoX engine leverages advanced machine learning techniques to build live and accurate recommendations with the goal of increasing both your conversion rate and user experience.
It enforces privacy for both you and your end users since it solely relies on the consumption data (or clicks) of your end users. It’s also a fully generic approach that can be used on any online platform (e-commerce, media, etc.).
To start getting recommendations, all you have to do is send us some product ids (so we know what to recommend), and the consumption events (a user and an item id), through a simple API that we provide.
We only rely on anonymized consumption data, allowing both consumers and corporates to control their own data and frontend.
More accurate recommendations are achieved through a mutual benefit ecosystem, leading to higher conversion rate.
Our recommendations are calculated in real-time and allow serendipity and discovery for the users.
Our pricing is primarily performance-based and trackable through a dashboard: there is no hidden cost.
Retain full control of your company and client data
Lower churn rate
Increased annual revenue
A better understanding of end user behaviour
Fast implementation and highly predictable cost scheme