This project aims to analyze customer behavior in an e-commerce environment using cloud-based analytics. The system provides personalized recommendations and purchasing insights by processing large-scale user interaction data efficiently on the cloud.
Analyze customer behavior datasets from e-commerce platforms.
Design cloud-based architecture for handling real-time user activity.
Store user interaction data using scalable cloud databases.
Implement analytics to study browsing, cart, and purchase patterns.
Develop recommendation algorithms based on user preferences.
Create dashboards for business intelligence insights.
Implement secure login and data access mechanisms.
Test performance and accuracy of recommendations.
Optimize cloud resource usage.
Document outcomes and future improvements.
