Real-Time AI Personalization and Visual Search for E-CommerceReal-Time AI Personalization and Visual Search for E-Commerce
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
AI E-Commerce Personalization Engine A multi-brand online retail store wanted to replace generic homepage banners and static "related items" grids with an intelligent, real-time AI recommendation engine to boost cart value, conversions, and customer retention.
Key Challenges:
Cold-start problem for newly launched products with zero sales history.
Generating sub-50ms dynamic product feeds during peak flash-sale traffic spikes.
Tracking complex visitor browse events without slowing down frontend page loads.
Technical Implementation & Solution: • Real-time Tracking: Built an asynchronous event-streaming pipeline using Kafka and FastAPI to record clickstreams, cart additions, and dwell time. • Hybrid Recommendation Logic: Combined collaborative filtering with multi-modal vector embeddings (CLIP) to analyze both user purchase patterns and product visual styles. • Dynamic Visual Search: Implemented image-similarity search via Qdrant, allowing shoppers to upload photos and immediately discover matching catalog apparel. • Headless API & Shopify Integration: Exposed lightweight REST & GraphQL endpoints that integrate seamlessly with Shopify Liquid and Next.js frontends.
Results & Impact: • Increased average order value (AOV) by 22% within 45 days. • Lifted product click-through rates (CTR) on personalized widgets by 34%. • Handled 10,000+ concurrent requests with sub-40ms response latency.
Post image
Back to feed
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started