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Development of a Scalable Body Shape Intelligence Platform for E-commerce Personalization
  1. case
  2. Development of a Scalable Body Shape Intelligence Platform for E-commerce Personalization

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Development of a Scalable Body Shape Intelligence Platform for E-commerce Personalization

jetrockets.com
eCommerce
Retail
Consumer products & services

Challenge of Standardized Sizing in E-commerce

Online shoppers face inconsistent 'one-size-fits-all' clothing descriptions, leading to poor customer experiences, high return rates, and lost revenue for retailers due to ill-fitting apparel.

About the Client

A body shape intelligence platform providing personalized clothing recommendations for retailers, wholesalers, and subscription services.

Platform Goals

  • Create a body shape intelligence algorithm for personalized product recommendations
  • Reduce apparel return rates through accurate size/fit predictions
  • Increase retailer conversion rates via enhanced customer confidence
  • Enable seamless integration with e-commerce platforms like Shopify

Core System Capabilities

  • Body Shape Intelligence Algorithm with adjustable parameters
  • Admin system for managing product types and algorithm rules
  • Customer-facing widget for body type selection and fit visualization
  • API integration with Shopify for real-time data exchange
  • Data visualization dashboard for tracking algorithm performance

Technology Stack

Ruby on Rails
Svelte
Ruby
JavaScript
PostgreSQL

System Integrations

  • Shopify API

Operational Requirements

  • Scalable architecture for growing retailer adoption
  • Real-time performance for algorithm calculations
  • Secure data handling for customer body metrics
  • Maintainable codebase for future algorithm updates

Business Impact

Enables retailers to reduce returns by 30% through data-driven personalization, improve customer satisfaction by offering tailored recommendations, and increase conversion rates by building consumer confidence in online apparel purchases.

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