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Redesign and Development of Multilingual Mobile App for AI-Powered Product Recognition Platform
  1. case
  2. Redesign and Development of Multilingual Mobile App for AI-Powered Product Recognition Platform

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Redesign and Development of Multilingual Mobile App for AI-Powered Product Recognition Platform

uplinesoft.com
Information technology
eCommerce
Media

Current Platform Limitations

Existing mobile app suffers from poor user adoption due to low screen contrast, inconsistent UI elements, and non-transparent algorithm functionality. Navigation complexity and lack of onboarding hinder user engagement with the product recognition technology.

About the Client

European AI technology startup specializing in visual product recognition and online retail integration

Key Project Goals

  • Create intuitive cross-platform mobile interface for iOS/Android
  • Implement seamless product recognition workflow from media content
  • Develop multilingual (Russian/English) support system
  • Establish consistent visual language across all digital assets

Core System Requirements

  • Interactive video content analysis with product tagging
  • Real-time product recognition in photos/videos/TV broadcasts
  • Personalized favorites management system
  • High-contrast adaptive UI with accessibility features

Design & Development Tools

Figma
Adobe Photoshop
After Effects
React Native

System Integrations

  • Partner online store APIs
  • Media player widget integration
  • Multilingual content management system

Performance Requirements

  • 95%+ accuracy in product recognition
  • Sub-200ms response time for image analysis
  • Cross-platform visual consistency
  • WCAG 2.1 accessibility compliance

Expected Business Outcomes

Projected 40% increase in user engagement through improved UI/UX, with 25% growth in partner store conversions. Unified design system will reduce future development costs by 30% while expanding market reach through multilingual capabilities.

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