Case Study: Ziosk achieves real-time personalized dining and higher revenue with Microsoft Azure

Ziosk - Customer Case Study

Ziosk, maker of the tabletop ordering, entertainment, and pay-at-the-table tablet used in thousands of U.S. casual-dining restaurants, needed to turn slow, retrospective reports into real-time, predictive insights that adapt the user experience and help managers act immediately on guest signals. As the company scaled rapidly, its challenge was to understand and predict guest behavior from clickstream, POS and survey data to drive satisfaction, frequency, and revenue.

Working with Artis Consulting, Ziosk built a cloud-based analytics platform on Microsoft technologies—SQL Server, Azure HDInsight, Azure Machine Learning, Azure Data Factory and Power BI—to ingest device and transaction data, train predictive models, and push real-time recommendations back to tablets. The result: smarter, personalized guest experiences and role-based dashboards for managers, faster actionable insights, improved operations and revenue opportunities, and a scalable data infrastructure to support continued growth.

Ziosk

Kevin Mowry

Chief Software Architect