Bhavya Chugh

AWS published a technical guide for building a serverless virtual try-on and product recommendation system for online retail using Amazon Nova Canvas, Rekognition, and OpenSearch. The solution addresses a core retail pain point: online shoppers struggle to visualize fit and appearance, driving high return rates and lost confidence. The architecture combines four capabilities (virtual try-on, smart recommendations, natural language search, and analytics) into a modular, scalable system that deploys via AWS SAM with a single command.