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Development of AI-Powered Customer Engagement Platform

unosquare.com

Retail

eCommerce

Information technology

Current Customer Engagement Challenges

Legacy CRM systems failing to deliver personalized customer experiences, resulting in declining repeat purchases (down 18% YoY), inefficient marketing campaigns (3.2% open rate), and fragmented customer data across multiple platforms.

About the Client

Multinational retail chain operating 500+ stores across North America with expanding digital commerce operations

Strategic Modernization Goals

Implement unified customer data platform with real-time analytics
Develop AI-driven personalization engine for marketing campaigns
Integrate omnichannel engagement tools across web, mobile, and in-store systems
Achieve 25% increase in customer lifetime value within 12 months

Core System Capabilities

AI-powered customer segmentation engine
Real-time behavior tracking dashboard
Automated omnichannel campaign orchestration
Predictive product recommendation API
Unified customer profile management

Technology Stack Requirements

Python

TensorFlow

Apache Kafka

React.js

AWS Lambda

System Integration Needs

Existing ERP system (SAP S/4HANA)
Payment gateway (Stripe)
In-store POS terminals
Third-party logistics APIs

Operational Constraints

99.99% system availability SLA
Sub-200ms response time for 95% of API calls
GDPR and CCPA compliance framework
Horizontal scalability to handle 10M+ daily active users

Projected Business Outcomes

Expected to drive $8.2M annual revenue growth through improved customer retention (targeting 35% repeat purchase increase), reduce marketing costs by 22% via automated campaign optimization, and achieve 40% faster time-to-market for new product launches through enhanced customer insights.