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Case studyClient · Fashion retailer (Austria)

E-commerce Personalization Engine

Machine learning recommendation system that increased conversion rate by 23% for an Austrian online retailer.

E-commerce analytics
Impact

+23% conversion rate, +18% AOV, +31% email CTR.

The Challenge

An Austrian online fashion retailer was showing the same products to all customers regardless of their behavior, preferences, or purchase history. Their email campaigns were generic and conversion rates were stagnant.

What We Built

We implemented a real-time personalization engine that: - Analyzes individual user behavior, purchase history, and browsing patterns - Serves personalized product recommendations on the homepage, product pages, and checkout - Personalizes email content based on predicted preferences - Provides A/B testing infrastructure for continuous optimization

Results

  • +23% increase in conversion rate
  • +18% increase in average order value
  • +31% email click-through rate improvement

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AI E-commerce Personalization Austria | Machine Learning Recommendation | AI Labs