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Proactive B2B Customer Experience Analysis Platform

angrynerds.co

Business services

Information technology

Challenges in Proactive Customer Experience Management

B2B enterprises face significant challenges in proactively identifying and addressing customer satisfaction issues. Traditional reactive approaches fail to predict risks based on historical data patterns, leading to delayed interventions and potential customer churn.

About the Client

A forward-thinking startup specializing in data-driven customer experience optimization solutions for B2B enterprises

Strategic Project Goals

Develop a scalable platform for automated customer satisfaction monitoring
Implement predictive analytics for early risk detection
Create intuitive visualization tools for data-driven decision making
Establish seamless integration with existing data science infrastructure
Enable proactive customer experience management through automation

Core System Capabilities

Automated customer satisfaction data collection pipeline
Machine learning-powered risk prediction engine
Real-time customer health score dashboard
Historical data pattern analysis visualization
API integration layer for data science modules
Customizable alert system for potential issues

Technology Stack Requirements

.NET

Angular

System Integration Needs

Client's proprietary data science modules
Enterprise customer relationship management (CRM) systems
Third-party analytics data sources

Operational Requirements

Horizontal scalability for enterprise-level data volumes
Real-time processing capabilities (<200ms latency)
Enterprise-grade data security and compliance (GDPR)
99.9% system availability SLA
Cross-browser compatibility with modern enterprise browsers

Expected Business Outcomes

The platform will enable B2B enterprises to reduce customer churn by 30-40% through proactive issue resolution, improve customer satisfaction scores by 25% through data-driven interventions, and decrease manual analysis efforts by 70% via automation. The scalable architecture will support growth to 10x current user base without performance degradation.