AI Personalization Engine for a D2C Retail Brand
EvoTech delivered a real-time personalization engine that improved conversion, order value, and repeat purchase behavior.
Challenge
The retailer treated every visitor the same across homepage, email, and storefront experiences. Rising customer acquisition costs and flat repeat-purchase behavior made generic merchandising unsustainable.
Approach
EvoTech designed a recommendation and personalization platform using collaborative filtering, content-based models, and live integration into the storefront and marketing channels. The system activated web, app, and email recommendations from a common decision layer.
Results
- Conversion rate increased to 3.4 percent within 90 days.
- Average order value rose by 22 percent.
- Email revenue improved by 45 percent.
- Repeat purchase rate increased from 28 percent to 41 percent over 12 months.
Solution structure
AI-powered personalization engine
Customer Behavior Models
Built customer behavior models using browsing history, purchase patterns, and seasonal trends.
Real-time Recommendation Engine
Implemented real-time recommendation engine with fallback to product affinity rules.
Platform Integration
Integrated with e-commerce platform and set up A/B testing framework for continuous optimization.
Outcome metrics
Measurable business impact
Building a personalization engine for your D2C brand?
EvoTech can design AI-powered recommendations that increase conversion, order value, and repeat purchase behavior.