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Machine Learning and Data Analytics based Restaurant Management System for Improving Customer Experience

2021; International Journal for Research in Applied Science and Engineering Technology (IJRASET); Volume: 9; Issue: VI Linguagem: Inglês

10.22214/ijraset.2021.35093

2321-9653

Akhilesh Jaiswal,

Customer churn and segmentation

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 instore analysis and expense tracking by visualizations. Lastly, predictive analytics includes Apriori algorithm for making combos of menu and XGBoost and RandomForest Classifier algorithm. The project also includes NLP analysis on reviews given by the customers.