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Development of AI-Powered Customer Engagement Platform for Multinational Retail Chain

unosquare.com

Retail

eCommerce

Information technology

Current Customer Engagement Challenges

Existing customer relationship management systems lack personalization capabilities, resulting in declining repeat purchase rates (down 18% YoY), inefficient marketing campaign deployment (40% manual effort), and fragmented customer data across regional platforms.

About the Client

Multinational retail corporation operating 800+ stores across 15 countries with integrated online marketplace

Key Project Goals

Implement unified customer data platform with real-time analytics
Develop AI-driven personalized marketing automation
Achieve 30% reduction in campaign deployment time
Increase customer lifetime value by 25% through targeted engagement

Core System Requirements

Centralized customer data warehouse
Machine learning-based recommendation engine
Cross-channel campaign orchestration
Real-time customer behavior tracking dashboard
Automated loyalty program management

Technology Stack Preferences

Python

TensorFlow

Apache Kafka

React.js

AWS Lambda

System Integration Requirements

Existing ERP systems (SAP S/4HANA)
Payment gateways (Stripe, PayPal)
Third-party logistics APIs
Social media advertising platforms

Non-Functional Requirements

99.99% system availability
Support for 10M concurrent users
End-to-end data encryption
Response time < 200ms for 95% of API calls
GDPR and CCPA compliance

Projected Business Impact

Anticipated $45M annual revenue increase from improved customer retention, $12M cost savings from marketing automation efficiencies, and 40% improvement in cross-sell/upsell conversion rates through personalized recommendations.