A data-driven approach to measure restaurant performance by combining online reviews with historical sales data

Restaurant management requires customer responsiveness to deal with increasingly higher expectations and market competitiveness. This study proposes an approach simplify the decision-making process of restaurant managers by combining both live social media feedback historical sales data in a forecast model (based on TripAdvisor Bass model). Our was validated internal external (i.e., online reviews) gathered from six restaurants. The collected processed using analytics for developing dashboard that provides value restauranteurs taking advantage reviews forecast. Such evaluated experts, which provided positive feedback, highlighting particular time saved process.