Case Study: App8 achieves more accurate restaurant demand forecasting with Amazon Web Services

App8 Helps Restaurants Predict Demand Using AWS Solutions

App8, a tech company that helps restaurants offer contactless ordering and payment, wanted to improve its ability to predict customer traffic and menu-item demand so restaurateurs could reduce waste, manage inventory, and schedule staff more efficiently. The company initially tried building the forecasting tool in-house, but the effort was complex and time-consuming, creating significant development overhead.

Using Amazon Web Services, App8 implemented Amazon Forecast along with the AWS solution “Improving Forecast Accuracy with Machine Learning,” which automated demand forecasting and visualized results in Amazon QuickSight and SageMaker notebooks. As a result, App8 delivered quick, reliable, and cost-effective forecasts, improved forecast accuracy, reduced development overhead, and gave restaurant customers the ability to run what-if scenarios to better prepare for uncertain demand.

App8

Hani Jabbour

Chief Technology Officer