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.
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