This is a web application which designed to e-commerce owners understand their customers better. This helps owners to promote more precise and predict churn probabilty of their customers in advance.
Data Analysis Language: R Backend : Node.JS Database: Microsoft SQL Server Front: HTML, CSS, JQuery
Steps:
- Upload your CSV file of customer transactions.
- Set RFM weights based on your business.
- Results are ready!
TODO:
- Complete history of users.
- Save previous results.
- Compare results for selected analysis.