In restaurant industry many of them do not have automated tool for monitoring the customers. Machine learning helps to predict information from the data and Data analysis will provide data in well visualized manner. This project is divided into 3 parts as descriptive learning, predictive learning and prescriptive learning. The application is prepared using php and Data analysis using Google Data Studio and python. With this product restaurant can find their weakness focus on it and can increase the revenue after filling it up. In the project descriptive analysis focuses on customer data and sales data. Predictive analytics focus on in store analysis and expense tracking by visualizations. Lastly, predictive analytics includes Apriori algorithm for making combos of menu and XGBoost and Random Forest Classifier algorithm. The project also includes NLP analysis on reviews given by the customers.