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    EPAM GenAI Stylist Advisor - Implementation & Consulting

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    End-to-end GenAI implementation service: virtual try-on, AI personal stylist, and retail intelligence powered by Amazon Bedrock, SageMaker, and OpenSearch.

    Overview

    EPAM delivers a comprehensive implementation service for the GenAI Stylist Advisor solution - a production-proven virtual styling platform that combines generative AI, computer vision, and conversational AI to transform digital fashion retail.

    Service Scope:

    • Discovery & Architecture: Assessment of existing e-commerce platform, definition of integration points, solution architecture design leveraging AWS services (Amazon Bedrock, SageMaker, OpenSearch, S3, CloudFront, Lambda, API Gateway, DynamoDB, Cognito, WAF).
    • GenAI Model Customization: Fine-tuning diffusion models for client-specific product catalogs to generate photorealistic virtual try-on imagery. Training recommendation models on client's historical purchase and preference data.
    • Virtual Try-On Pipeline: Implementation of the end-to-end VTO rendering pipeline including image preprocessing, garment segmentation, avatar generation, and outfit composition on digital avatars.
    • Conversational AI Stylist: Development of a natural language styling assistant that analyzes customer preferences, body type, weather, occasion, and trends to deliver personalized outfit recommendations.
    • E-Commerce Integration: Seamless API integration with existing storefronts (Salesforce Commerce, SAP Commerce, custom platforms) including product catalog sync, session management, and analytics pipelines.
    • Production Deployment & Optimization: CI/CD pipeline setup, A/B testing framework, performance monitoring, model retraining workflows, and ongoing optimization.
    • Proven track record with leading fashion e-commerce platforms, delivering pilot-to-production rollouts serving millions of customers across multiple regions.

    Highlights

    • Production-proven GenAI solution deployed at scale for leading fashion retailers with pilot-to-production track record
    • Full-stack implementation: virtual try-on, conversational AI stylist, and retail analytics on AWS-native architecture
    • Reduces return rates and increases conversion through personalized visual shopping experiences

    Details

    Delivery method

    Deployed on AWS
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    Pricing

    Custom pricing options

    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

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    Support

    Vendor support

    EPAM provides dedicated project team support throughout implementation. Post-deployment support includes model retraining, performance optimization, and SLA-based managed services. Contact: Mikhail_Tolmachev1@epam.com , Ward_De_Kruiff@epam.com , Martin_Ryan@epam.com