
To understand the concept of customer churn and its significance in the e-commerce industry.
To explore the existing methods and techniques of customer churn prediction in the context of e-commerce businesses.
To develop and implement an AI based customer churn prediction model specifically tailored for e-commerce businesses in the education sector in India.
To analyze the effectiveness and accuracy of the developed model in predicting customer churn in the education sector.
Conduct a thorough literature review on customer churn prediction in the e-commerce industry.
Collect and analyze relevant data from e-commerce businesses in the education sector in India.
Develop an AI based customer churn prediction model using machine learning algorithms.
Evaluate the performance of the model and compare it with existing methods.
Summarize the findings and propose recommendations for e-commerce businesses in the education sector to reduce customer churn.