For a global food company, LatentView Analytics’ innovative recommendation engine which combined customer segmentation, user-based collaborative filtering and market basket analysis generated more than $1 million per quarter for one of their offline channels, resulting in higher customer satisfaction due to precise recommendations.
For a global food company, LatentView Analytics’ innovative recommendation engine which combined customer segmentation, user-based collaborative filtering and market basket analysis generated more than $1 million per quarter for one of their offline channels, resulting in higher customer satisfaction due to precise recommendations.
Thank you for submitting the form. You will shortly receive an email with the case study attachment
This site uses cookies to give our users the best experience on our website. By continuing on our website, you are agreeing to the use of cookies. To learn more, you can read our privacy policy.