Building a fast and accurate predictive model for your grocery brand

Building a predictive model means gathering, cleaning, analyzing, and testing data — a process that can take months. SiteZeus allows you to skip this lengthy process and jump straight to gaining key insights for portfolio growth and optimization.

SiteZeus combines multiple data sets (e.g., brand data, population movement, mobile location, geosocial segments, etc.) to give the machine-learning algorithm everything it needs to build a precise predictive model. By comparing each site’s projected and actual revenues, SiteZeus even tests itself for accuracy. Thanks to this cutting-edge technology, you can simply log in and start using your brand’s predictive model, available 24/7.