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E-commerce Recommendation MVP
A focused MVP to test the impact of an ML-powered recommendation engine on user engagement and average order value for an existing e-commerce site.
Status
Completed100% Complete
Timeline
Mar 2024 → Jul 20244 months
Team Lead
AC
Alex ChenInitiative
Growth Experiment
Dependencies
Existing E-commerce Platform
Priority
High
Key Milestones
Model Accuracy Target
Achieved 92% accuracy on validation dataset
A/B Test Completion
Live A/B test showed a 17% lift in conversion
Full Deployment
Recommendation engine rolled out to all users
Recommendation Engine Demo
This demo showcases the recommendation engine integrated into a live e-commerce environment, highlighting personalized product suggestions based on user behavior.