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Development of AI-Powered Customer Engagement Platform
  1. case
  2. Development of AI-Powered Customer Engagement Platform

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Development of AI-Powered Customer Engagement Platform

unosquare.com
Retail
eCommerce
Advertising & marketing

Current Customer Engagement Challenges

The client faces declining customer retention rates due to fragmented user experiences across digital channels, lack of personalized marketing capabilities, and inefficient inventory management integration.

About the Client

Multinational retail chain specializing in omnichannel sales and digital transformation

Strategic Project Goals

  • Implement unified customer data platform for personalized experiences
  • Develop AI-driven product recommendation engine
  • Integrate real-time inventory visibility across channels
  • Enhance mobile app engagement metrics by 40%

Core System Requirements

  • AI-powered personalization engine
  • Cross-channel loyalty program management
  • Real-time inventory API integration
  • Behavioral analytics dashboard
  • Automated marketing workflow builder

Technology Stack Preferences

Node.js
React Native
AWS Machine Learning
MongoDB

Critical System Integrations

  • Payment gateways
  • CRM systems
  • Third-party logistics APIs

Operational Requirements

  • 99.9% system availability
  • Sub-200ms API response times
  • GDPR compliance
  • Horizontal scalability

Projected Business Outcomes

Expected 25% increase in customer lifetime value, 35% reduction in cart abandonment rates, and $2M annual savings through operational efficiencies within the first 18 months post-implementation.

More from this Company

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Digital Transformation Platform for Multi-Industry Operations
Development of Scalable E-commerce Platform with Integrated Inventory Management