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Development of a Customized Luxury Decor E-commerce Platform with AI-Driven Style Matching and Full-Service Checkout Integration
  1. case
  2. Development of a Customized Luxury Decor E-commerce Platform with AI-Driven Style Matching and Full-Service Checkout Integration

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Development of a Customized Luxury Decor E-commerce Platform with AI-Driven Style Matching and Full-Service Checkout Integration

railwaymen.org
eCommerce
Interior Design
Retail

Challenges in Delivering Personalized Luxury Decor Solutions

Existing platforms lack personalized luxury decor recommendations and seamless purchase processes. The need for a secure, scalable solution that combines AI-driven style matching with white-glove delivery logistics and tax compliance in the US market.

About the Client

Digital marketplace offering luxury decor packages with online customization and full-service installation, founded by renowned designer Kathryn M. Ireland.

Key Goals for Platform Development

  • Implement AI-powered visual style quiz for personalized room recommendations
  • Develop full-service checkout with tax calculation (AvaTax) and Stripe payments
  • Create admin CMS for managing decor packages and designer profiles
  • Integrate analytics for user behavior tracking and data-driven improvements
  • Ensure secure, scalable architecture for high-value transactions

Core System Capabilities

  • Interactive style quiz with admin-configurable logic
  • Shoppable room packages with item-level purchasing
  • Favorites list management for collections/items
  • Order history with delivery tracking
  • Design consultation packages and moodboard access
  • Admin CMS for content and product management

Technology Stack Requirements

Ruby on Rails
React.js
Stripe API
Google Analytics 4
Avalara AvaTax

Critical Third-Party Integrations

  • Stripe Payment Gateway
  • Google Tag Manager
  • Avalara Tax API
  • CMS Framework

System Quality Attributes

  • PCI-DSS compliance for payments
  • High availability architecture
  • Real-time tax calculation performance
  • Admin UI responsiveness
  • Data privacy (GDPR/CCPA)

Expected Business Outcomes

Enables 30% faster customer decision-making through AI style matching, reduces checkout abandonment by 40% with integrated tax calculations, and increases repeat purchases via personalized recommendations. Provides administrators 50% faster content updates through custom CMS.

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