Clients / Fashion E-commerce Brand
E-commerce & RetailFashion E-commerce Brand
AI Personalization Engine for E-commerce Platform
187%
Conversion Rate Increased
+43%
Average Order Value
35%
Cart Abandonment Reduced
+124%
Email Click-Through Rate
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.
What we built
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.
Engagement
- Client
- Fashion E-commerce Brand
- Industry
- E-commerce & Retail
- Timeline
- 3 months
Stack
PyTorchGPT-4 APIRedisPostgreSQLNext.jsPython/DjangoSegmentStripe
#Generative AI#Machine Learning#Go-To-Market
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