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Inefficient handling of large-scale customer data leading to accuracy issues, fragmented communication channels, operational inefficiencies from manual workflows, and integration difficulties with legacy systems disrupting daily operations
Payment processing company serving 50,000+ merchants with needs for scalable data management and customer relationship optimization
Projected 40% reduction in operational costs through workflow automation, 30% improvement in customer retention rates via personalized service, 50% faster data processing times enabling real-time analytics, and minimized system downtime during transition to new CRM infrastructure