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Fashion Retailer Delivers Personalized AI Styling Experience Using Serverless Architecture on AWS

Supara transforms customer engagement with AI-powered outfit recommendations

Retail & Fashion
5 min read
AWS LambdaAmazon BedrockGenerative AIRetail
20K+
Customer Interactions
60%
Faster Consultations
99.9%
Production Uptime

Overview

Supara, a leading fashion retailer, partnered with Ironbook.ai to build and deploy an AI-powered styling assistant into production that delivers personalized outfit recommendations to customers in real-time. The solution, now live and serving customers across Supara's digital channels, leverages AWS serverless architecture for scalability and security.

The Challenge

Understanding the business problems that needed to be solved

Supara faced significant challenges in delivering personalized shopping experiences at scale while maintaining security and performance standards:

  • 1Manual styling consultations were time-consuming and couldn't scale to meet growing customer demand across multiple channels.
  • 2Customer data including preferences, purchase history, and style profiles required robust security measures to maintain trust.
  • 3The existing infrastructure couldn't support real-time AI processing needed for instant outfit recommendations.
  • 4Integration of multiple data sources including weather, trends, and inventory required a flexible, event-driven architecture.

The Solution

How Ironbook.ai delivered a transformative AWS solution

Ironbook.ai designed and implemented a comprehensive serverless solution leveraging AWS Lambda as the central orchestration layer:

  • Deployed 7+ AWS Lambda functions to handle API ingestion, text generation, image generation, image search, embeddings, and weather integration.
  • Implemented Amazon Bedrock with Claude 3 Sonnet for natural language understanding and personalized styling recommendations.
  • Built a multimodal search system using Amazon OpenSearch Service with vector embeddings for visual similarity matching.
  • Established Defense in Depth security with AWS WAF, Amazon Cognito for authentication, and AWS Secrets Manager for credential management.
  • Created a real-time data pipeline using AWS Glue, S3, and DynamoDB for seamless data orchestration.
  • Deployed the customer-facing application on ECS Fargate with CloudFront CDN for global low-latency access.

Architecture Diagram

Visual representation of the AWS serverless architecture

Supara Architecture Diagram

Click to enlarge

Technologies Used

AWS LambdaAmazon BedrockAmazon OpenSearchAWS WAFAmazon CognitoECS FargateCloudFrontDynamoDBS3AWS Glue

The Results

Measurable outcomes and business impact

Since going live in production, the AI Stylist platform has delivered transformative results for Supara's customer engagement and operational efficiency:

20,000+ Customer Interactions

The production system has processed over 20,000 customer interactions, delivering personalized styling recommendations at scale with sub-second response times.

60% Reduction in Styling Consultation Time

Automated AI-driven recommendations reduced average styling consultation time from 15 minutes to under 6 minutes, freeing staff for higher-value customer engagement.

Enterprise-Grade Security in Production

The live system maintains zero security incidents with WAF protection, Cognito authentication, and CloudTrail audit logging across all production workloads.

99.9% Uptime in Production

The serverless architecture delivers consistent availability with auto-scaling Lambda functions handling variable traffic loads without manual intervention.

Ready to Transform Your Business?

Let's discuss how Ironbook.ai can help you achieve similar results with AWS cloud solutions tailored to your needs.