E-commerceAI SaaS Platform
3x Revenue Growth with AI Personalization for E-commerce
7 months
9 engineers
Client: StyleKart Fashion
3.1x
Revenue Growth
Revenue increase within 12 months
1.2% → 8.4%
CTR Improvement
Recommendation engine click-through rate
-34%
Cart Abandonment
Reduction in cart abandonment
+180%
Marketing ROI
Improvement in marketing attribution ROI
!The Challenge
StyleKart's generic recommendation engine had a 1.2% click-through rate and 2.8% conversion. Cart abandonment was 76%, and marketing spend had poor attribution, making scaling difficult and unprofitable.
→Our Solution
We built an end-to-end AI personalization platform: a deep learning recommendation engine trained on 50M user interactions, an AI-powered search with visual search capability, dynamic pricing optimization, and an intelligent email/push re-engagement system.
Technology Stack
PyTorchTensorFlow RecommendersElasticsearchRedisFastAPIKafkaAWS
“The AI recommendation engine changed the trajectory of our business. We went from struggling with margins to our best year ever.”
Meera Krishnan
Co-founder & CTO, StyleKart
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