Development of a Scalable Omnichannel A/B Testing Platform for Large-Scale Ecommerce

The client faces difficulties in executing real-time, high-scale A/B testing across millions of shoppers, due to limited system scalability, performance bottlenecks, and inefficient data processing pipelines. Existing solutions lack the ability to deliver rapid feedback and insights required for optimizing user experience during peak shopping events like Black Friday and Cyber Monday.

A large-scale ecommerce enterprise seeking to enhance its customer experience and conversion rates through advanced A/B testing and data processing capabilities.

• Design and implement a scalable omnichannel A/B testing platform capable of supporting a user base exceeding 80 million shoppers.
• Achieve less than 100 milliseconds processing overhead per request to enable real-time testing and insights.
• Enhance user experience and increase conversion rates through iterative UX testing and improvements.
• Support robust data collection, stream processing, and integration with existing data storage solutions to facilitate detailed analytics.
• Ensure maintainability, scalability, and performance through microservices architecture and test-driven development practices.

• Architecture and full-stack development of an omnichannel A/B testing engine supporting REST and microservices architecture.
• Real-time data collection interfacing with a data warehouse, leveraging stream processing to facilitate rapid feedback.
• Implementation of automated test coverage including unit, performance, and UI testing for all system components.
• Integration capability with existing marketing and analytics tools to enable seamless campaign management and reporting.
• Support for high concurrency and low latency, maintaining overhead below 100 milliseconds per request.

• Data warehouse for analytics and storage
• Stream processing platforms for real-time data handling
• Existing marketing automation and analytics tools

• System scalability to support over 87 million sessions
• Latency under 100 milliseconds per request
• High availability and fault-tolerance
• Continuous integration and deployment support
• Security and data privacy compliance

The implementation of this scalable omnichannel A/B testing platform aims to facilitate broader customer reach, enable rapid iteration of UX improvements, and support record-breaking sales during peak shopping periods. Targeted outcomes include at least a 25% year-over-year growth in revenue, enhanced user experience ratings exceeding 4 stars on key review platforms, and improved campaign effectiveness through precise and real-time data insights.