At zeb, we are committed to addressing the unique challenges faced by eCommerce sites in optimizing user interactions and maximizing operational efficiency. Our ML-Powered Click Stream Analytics and Recommendation System leverages cutting-edge technologies like AWS Kinesis, Apache Flink, and AWS QuickSight to provide real-time data processing, insightful analysis, and powerful visualizations. By integrating these robust AWS solutions, we empower eCommerce sites to enhance user engagement, improve customer retention, and drive revenue growth.

Key Features

• Data Ingestion and Preprocessing: Leverage AWS Kinesis for robust real-time data ingestion from various customer touchpoints, ensuring low-latency data flow into the system. Utilize Apache Flink for preprocessing clickstream data and session windowing to efficiently aggregate user interactions.
• Real-Time Analytics and Visualization: Implement AWS QuickSight for real-time analytics and dynamic visualizations of preprocessed clickstream data. This solution offers stakeholders instant insights through interactive dashboards that display key eCommerce metrics and trends, streamlining data-driven decision-making.
• Personalized Recommendations: Develop and deploy custom machine learning algorithms to deliver personalized content and recommendations, improving user engagement and conversion rates.
• Analysis Modules: Implement a comprehensive analytics system to monitor web page performance, evaluate referral source effectiveness, track user navigation paths, analyze session behavior, assess conversion metrics, and detect recurring user behaviors through clickstream pattern analysis.

Deliverables

• Future-State Architecture Diagram: A detailed architecture diagram highlighting the integration of AWS Kinesis, Apache Flink, and AWS QuickSight, tailored to eCommerce operations.
• Total Cost of Ownership (TCO) Estimation: Precise cost projections using our pre-configured cost estimation tools.
• Integration and Deployment Support: Guidance on seamless integration and effective deployment strategies for optimal system performance.
• Ongoing Monitoring and Optimization: Continuous support for monitoring, fine-tuning, and enhancing models and analytics to adapt to evolving needs.

Timeline

The assessment and road mapping phase typically spans approximately 2 weeks, while the implementation activities may require 4-12 weeks (depending on the scope, size of the project, and availability of your project sponsor and technical teams).

Next Steps

To advance towards transforming your operations with our comprehensive analytics and recommendation system, our typical next steps involve scheduling a consultation. We will showcase our previous implementations and provide a detailed proposal tailored to your unique requirements, ensuring a strategic and impactful deployment of our solutions.