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- Guidance for Virtual Try-On on AWS
Guidance for Virtual Try-On on AWS
Overview
This Guidance demonstrates how retailers can overcome online shopping limitations by implementing a virtual try-on solution on AWS that allows customers to digitally experience products before purchase. The solution uses Amazon S3 to store customer photos and product images, while AWS Lambda processes requests and updates metadata in DynamoDB tables. Amazon Bedrock powers the Nova Canvas model that generates realistic try-on images, with AWS Step Functions orchestrating the entire workflow for a seamless customer experience. You can increase sales and customer satisfaction while reducing return rates by enabling shoppers to visualize products on themselves before making a purchase decision.
Benefits
Deploy virtual try-on experiences that allow customers to visualize products before purchase. Leverage Amazon Bedrock's Nova Canvas model combined with serverless architecture to deliver compelling shopping experiences without managing complex infrastructure.
Create interactive, real-time product visualization that reduces purchase hesitation and increases conversion rates. The WebSocket connections through API Gateway provide immediate feedback to customers, keeping them engaged throughout the try-on experience.
Handle fluctuating traffic patterns common in retail with a fully serverless architecture. AWS Lambda, Step Functions, and SQS work together to process try-on requests efficiently while DynamoDB tracks job status, ensuring reliable performance during peak shopping periods.
How it works
These technical details feature an architecture diagram to illustrate how to effectively use this solution. The architecture diagram shows the key components and their interactions, providing an overview of the architecture's structure and functionality step-by-step.
Deploy with confidence
Ready to deploy? Review the sample code on GitHub for detailed deployment instructions to deploy as-is or customize to fit your needs.
Disclaimer
The sample code; software libraries; command line tools; proofs of concept; templates; or other related technology (including any of the foregoing that are provided by our personnel) is provided to you as AWS Content under the AWS Customer Agreement, or the relevant written agreement between you and AWS (whichever applies). You should not use this AWS Content in your production accounts, or on production or other critical data. You are responsible for testing, securing, and optimizing the AWS Content, such as sample code, as appropriate for production grade use based on your specific quality control practices and standards. Deploying AWS Content may incur AWS charges for creating or using AWS chargeable resources, such as running Amazon EC2 instances or using Amazon S3 storage.
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