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Development of a Scalable React-Based CRM System for Fashion Product Management and Social Engagement
  1. case
  2. Development of a Scalable React-Based CRM System for Fashion Product Management and Social Engagement

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Development of a Scalable React-Based CRM System for Fashion Product Management and Social Engagement

wesoftyou.com
Retail
eCommerce
Social Media

Challenges in Fashion Industry Digitization and User Engagement

The fashion industry faces massive overproduction (100B clothing items/year) due to disconnected consumer insights. Existing systems lacked intuitive UX, failed to manage 1M monthly user-generated content, struggled with 800+ brand databases, and provided inadequate analytics for trend prediction.

About the Client

A social platform combining fashion, gaming, and utility to enable users to create, share, and discover outfits while driving data-driven production decisions.

Key Goals for System Modernization

  • Digitize fashion consumption to reduce overproduction through data-driven insights
  • Create engaging social platform with 12+ minute average session duration
  • Develop scalable CRM for managing 800+ global brands and 1M+ monthly content
  • Achieve 18% monthly user growth through gamified UX
  • Surpass competitors in key engagement metrics

Core System Capabilities

  • Real-time outfit creation with drag-and-drop interface
  • AI-powered trend discovery feed
  • Multi-user collaborative styling workspace
  • Brand database management with taxonomy tagging
  • Advanced analytics dashboard for production forecasting

Technology Stack Requirements

React
React Native
Redux Toolkit
Node.js
GraphQL

System Integration Needs

  • Social media sharing APIs (Instagram, TikTok)
  • Brand ERP systems integration
  • Third-party analytics platforms
  • Cloud storage for media assets

Operational Requirements

  • Support 5M+ users with sub-200ms response times
  • Handle 10K concurrent content creation sessions
  • End-to-end encryption for user data
  • WCAG 2.1 accessibility compliance
  • 99.9% system uptime SLA

Expected Business Outcomes

Projected 18% monthly user growth through gamified UX, 30% reduction in production waste via predictive analytics, and 40% operational efficiency gains in product management. System should maintain top-3 fashion app rankings with session durations exceeding 12 minutes.

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