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Decentralized Exchange User Onboarding Platform with Anonymity-Preserving Personalization
  1. case
  2. Decentralized Exchange User Onboarding Platform with Anonymity-Preserving Personalization

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Decentralized Exchange User Onboarding Platform with Anonymity-Preserving Personalization

ritenrg.com
Financial services
Information technology
eCommerce

Challenges in Cryptocurrency User Onboarding and Personalization

High barrier to entry for crypto newcomers due to platform complexity, lack of personalized onboarding experiences without compromising user anonymity, and difficulty maintaining engagement while adhering to decentralized principles. Existing solutions require sensitive data collection or lack flexibility for iterative improvements.

About the Client

Decentralized cryptocurrency exchange (DEX) operating in the BNB Chain with automated market maker (AMM) model and DeFi ecosystem services

Key Project Goals

  • Create intuitive onboarding flow for users of all experience levels
  • Enable personalized user experiences without storing sensitive data
  • Implement chatbot-driven guidance integrated with blockchain activity
  • Establish scalable communication channels for user engagement
  • Maintain full anonymity while providing tailored educational content

Core System Functionalities

  • Wallet address-based user identification system
  • Drag-and-drop onboarding process designer
  • Context-aware chatbot with MetaMask integration
  • Automated knowledge level assessment
  • Dynamic content delivery based on user activity
  • Web push notification system with behavioral targeting
  • API-driven data synchronization with blockchain

Technology Stack

User.com
React
Blockchain APIs
Web Push API
RESTful APIs

System Integrations

  • User.com-CoinSwap platform integration
  • MetaMask wallet connectivity
  • BNB Chain blockchain explorer API
  • Web push notification service

Non-Functional Requirements

  • Zero-knowledge data handling architecture
  • Real-time user activity tracking
  • High-availability chatbot infrastructure
  • GDPR-compliant data processing
  • Scalable event-driven architecture

Expected Business Impact

Anticipated 40% reduction in user onboarding time, 25% increase in user activation rates, and 60% improvement in customer support efficiency through chatbot automation. Expected to enable personalized communication with 100% user anonymity while maintaining compliance with decentralized finance principles.

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