Case Study: RetailNext

RetailNext analyzes trillions of data points annually, measuring the behavior of more than one billion shoppers per year by collecting data from more than 65,000 sensors in retail stores.

Download this case study to learn how implementing Incident.MOOG’s machine learning analytics helped RetailNext pinpoint customer problems faster, reduce costs and errors as their business scaled, and ultimately improved both business customer and end user experience.