Back to Case Studies

Generative AIMachine LearningGo-To-Market
AI Personalization Engine for E-commerce Platform
E-commerce & Retail•3 months
The Challenge
The e-commerce brand had a 2.1% conversion rate and high cart abandonment. Generic product recommendations and one-size-fits-all marketing were not resonating with diverse customer segments.
The Solution
We built a multi-model AI personalization engine that provides individualized product recommendations, dynamic pricing suggestions, and personalized email content. The system uses collaborative filtering, deep learning, and GPT-4 to generate personalized product descriptions and marketing copy.
Technology Stack
PyTorchGPT-4 APIRedisPostgreSQLNext.jsPython/DjangoSegmentStripe
Results
Conversion Rate Increased
187%
Average Order Value
+43%
Cart Abandonment Reduced
35%
Email Click-Through Rate
+124%
Ready to achieve similar results for your organization?
Discuss Your Project
