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

unosquare.com

Retail

eCommerce

Consumer products & services

Challenges in Customer Retention and Data Fragmentation

The client struggles with fragmented customer data across multiple platforms, leading to inconsistent personalized marketing efforts and declining customer retention rates. Legacy systems hinder real-time analytics and targeted campaign execution.

About the Client

A multinational retail chain specializing in omnichannel customer experiences and inventory optimization

Key Goals for Platform Development

Centralize customer data from POS, mobile, and web platforms
Implement AI-driven personalization for marketing campaigns
Improve customer retention by 25% within 12 months
Enable real-time analytics for sales trend monitoring

Core System Capabilities

Multi-source customer data aggregation
Predictive analytics engine for purchase behavior
Automated personalized campaign builder
Real-time dashboard for KPI tracking
Mobile app integration for loyalty programs

Technology Stack Preferences

Python-based AI/ML frameworks

AWS cloud infrastructure

React Native frontend

GraphQL API layer

System Integration Needs

Existing ERP system (SAP S/4HANA)
Payment gateway APIs
Third-party logistics tracking
Social media advertising platforms

Operational Requirements

99.9% system uptime SLA
Support for 10,000+ concurrent users
GDPR-compliant data encryption
Horizontal scalability for seasonal traffic

Projected Business Outcomes

Implementation is expected to increase customer lifetime value by 35%, reduce marketing campaign deployment time by 60%, and achieve a 20% reduction in operational costs through automation. The platform will support expansion into three new international markets within 18 months.