Transform retail with AWS generative AI services

This article demonstrates how to build an AI-powered virtual try-on and recommendation solution for retail using AWS serverless services.

• Virtual try-on generates photorealistic images of customers wearing products using Amazon Nova Canvas and Rekognition
• Smart recommendations provide visually-aware product suggestions using Titan Multimodal Embeddings for style matching
• Smart search enables natural language product discovery with goal-oriented intelligence and fuzzy matching
• Analytics tracks customer interactions and preferences using DynamoDB for inventory optimization
• Solution uses five Lambda functions deployed via AWS SAM with single-command deployment
• Modular architecture allows independent implementation of individual capabilities or complete solution
• Estimated monthly cost approximately $75-85 for typical workshop scenario with 50 daily try-ons
• Requires Amazon Nova Canvas, Titan Embeddings, Rekognition, and OpenSearch Serverless in same region
• Security warning: base deployment lacks authentication; implement Cognito or authorizers before production
• Image validation and content moderation required for user-uploaded images before processing

This guide provides a complete implementation approach for building scalable, cost-effective AI-powered retail experiences on AWS serverless infrastructure.