Navigating through the massive amount of products and information available online today is a daunting task. In many domains, users have come to expect systems that can provide 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 ranges from systems that can act on the visual appearance of a users’ purchase history, a feature that is highly desirable in fashion retail, to systems that help minimise waste and distribution costs.
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 provides live recommendations for both new and known users.
If you want to know more about how you can optimize your business with personalised recommendation systems, fill out the contact form.
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