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Development of an AI-Powered Customer Engagement Platform for a Global Retail Chain
  1. case
  2. Development of an AI-Powered Customer Engagement Platform for a Global Retail Chain

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Development of an AI-Powered Customer Engagement Platform for a Global Retail Chain

unosquare.com
eCommerce
Retail
Information technology

Current Challenges in Customer Retention

The client faces declining customer retention rates due to generic marketing strategies, lack of personalized shopping experiences, and fragmented customer data across multiple platforms.

About the Client

A multinational retail corporation specializing in omnichannel commerce and digital innovation.

Strategic Goals

  • Enhance personalized customer experiences through AI-driven insights
  • Centralize customer data management to improve engagement
  • Increase customer retention by 30% within 12 months
  • Reduce operational costs associated with manual marketing campaigns

Core System Functionalities

  • Real-time customer behavior tracking dashboard
  • AI-powered product recommendation engine
  • Automated multi-channel marketing campaign builder
  • Unified customer profile database with GDPR compliance

Technology Stack

Python
TensorFlow
React.js
AWS Lambda
MongoDB

System Integrations

  • Existing ERP system (SAP S/4HANA)
  • Third-party payment gateways (Stripe, PayPal)
  • CRM platform (Salesforce)

Performance Criteria

  • Support 10,000+ concurrent users
  • 99.99% system uptime SLA
  • End-to-end data encryption
  • Response time under 500ms for 95% of API calls

Business Transformation Outcomes

Implementation of this solution is projected to increase annual revenue by $15M through improved customer lifetime value, reduce marketing campaign deployment time by 60%, and decrease data management overhead by 45% within the first 18 months of operation.

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