Custom recommender solutions optimised for your needs

Nowadays the massive amount of products and information available online is daunting. In many domains, users have come to expect a personalised experience. While basic recommendation engines are readily available, we at Trifork Machine Learning help clients build custom recommender solutions that are optimised for their needs. This includes systems that:

• Leverage the visual appearance of a users’ purchase history.
• Act on a feature that is highly desirable in fashion retail.
• Help minimise waste and distribution costs.

Tailor a solution for you

Recommender systems are highly complex. Together, we find the relevant business goals and build a recommendation platform for your needs. We have the necessary experience in building large-scale recommendation platforms, that collect and leverage many different data sources, and provide live recommendations for both new and known users.