This project aims to develop a data mining method to determine the need for online meal ordering and table booking services for restaurants. The report discusses the use of RapidMiner to create models using Random Forest and neural nets classifiers. The models are evaluated and improved using performance operators, and an integrated solution is provided using cross-validation. Further research and extensions are also explored.