Case Study

Creating a Seamless Customer Experience through a Single Customer View (SVC)

How a rail service transformed Customer Experience using SCV

Introduction

In an era characterized by digital transformation and heightened customer expectations, a leading American rail service recognized the need to align its offerings with evolving passenger demands. In collaboration with a technology partner, the objective was clear: consolidate online and offline data streams into a comprehensive Single Customer View (SCV) to future-proof customer experience, drive innovation, and foster continuous improvement.

Challenges

Disconnected Customer Data

Data silos across systems prevented a unified, 360-degree view of customers.

Complex Online and Offline Data Integration

Bringing together digital interactions and offline touchpoints was challenging, limiting consistency and accuracy of insights.

Evolving Customer Expectations

Rapidly changing passenger needs made it difficult to anticipate preferences and deliver timely, personalized experiences.

Solutions

Creating a 360° Customer View

Leveraging an existing customer relationship management (CRM) platform as the foundation, the SCV was constructed by integrating online and offline data sources. This approach enabled a holistic view of customers while providing the tools to automate privacy and marketing processes, ensuring compliance, efficiency, and personalized experiences.

Core CRM Infrastructure

The CRM platform served as the central hub for customer data, unifying information from marketing, sales, commerce, and service touchpoints. It offered a comprehensive and intelligent view of customers within a single platform.

Data Collection and Integration

Data was collected from various sources and consolidated into a central location. A robust integration platform connected the CRM with both online and offline data systems, including websites, apps, ERP systems, loyalty programs, and point-of-sale systems.

Offline-Online Data Synchronization

Tools were employed to track and synchronize online behavior with offline activities in real-time, enabling dynamic personalization based on user actions across different channels. Data was incorporated and standardized for more precise targeting, seamlessly blending offline data with online behavior.

AI-Driven Insights

Artificial intelligence was leveraged to analyze customer behavior, predict future actions, and automate marketing processes based on these insights.

Impact

  • Innovation: Seamless integration of online and offline data enabled digital-physical synchronization and a unified loyalty experience.
  • Continuous Improvement: Real-time data management facilitated instant updates, dynamic segmentation, and personalized service offerings.
  • Added Value: A unified view of customers enabled tailored travel experiences, empowered onboard staff, and optimized operational efficiency through API connectivity and data management.
  • Scalability and Data Stewardship: The system was designed to handle increased data volumes while maintaining data integrity through rigorous stewardship processes.
  • Service Enhancement: Customers benefited from a unified experience, tailored offerings, and increased engagement.

Conclusion

By merging online and offline data, the rail service transformed its operations and solidified its position as a customer-centric organization committed to excellence and personalization.

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