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Development of AI-Powered Fashion Analytics Platform MVP
  1. case
  2. Development of AI-Powered Fashion Analytics Platform MVP

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Development of AI-Powered Fashion Analytics Platform MVP

yojji.io
Information technology
eCommerce
Consumer products & services

Challenges in Data Representation and Time Constraints

With no existing solutions available, creating clear data visualization required multiple prototypes. The client needed a functional MVP within 6 months to support business growth, while ensuring complex analytics remained accessible to non-technical users.

About the Client

AI platform providing real-time fashion market insights for brands and suppliers

MVP Development Goals

  • Create user-friendly interface for complex fashion analytics
  • Implement AI-driven trend prediction capabilities
  • Develop generative AI tools for clothing design exploration
  • Establish collaboration features connecting brands and suppliers
  • Deliver fully functional MVP within 6-month timeframe

Core Platform Requirements

  • Real-time fashion market analytics dashboard
  • Generative AI for clothing design prototyping
  • Competitor strategy comparison tools
  • Global supplier-brand matching system
  • Interactive trend forecasting visualizations

Technology Stack

React
NestJS
Google Cloud Platform

External System Integrations

  • AI model APIs for trend prediction
  • Third-party fashion data sources
  • User authentication services

System Requirements

  • High-performance data processing capabilities
  • Scalable cloud architecture
  • Enterprise-grade data security
  • Cross-platform compatibility (web & mobile)

Expected Business Impact

Enables fashion brands to make data-driven design and production decisions, reduces time-to-market for new collections, enhances competitive intelligence capabilities, and creates new revenue streams through supplier-brand connections.

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