Case Study

Transforming Customer Care with an AI-Driven Platform for a Leading European Rail Operator

Industry

Travel

Location

Germany

Our Contributions

Customer Care Transformation, AI Enablement, Low-Code Platform Engineering, Process Automation

Technologies

Appian, AWS, Kafka, Microsoft Graph

Coforge partnered with a leading European rail and infrastructure operator to modernize its customer care platform and enhance service delivery across millions of customers. The organization sought to transform its legacy system into a scalable, AI-enabled platform capable of handling high volumes of customer interactions across multiple channels while improving agent productivity and customer experience.

Transformation Timeline

Phase 1

Platform assessment and transformation strategy

Phase 2

Solution design and agile development setup

Phase 3

AI-enabled platform development and integration

Phase 4

Rollout, scaling, and continuous enhancement

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The Challenge

The existing customer care platform was limited in its ability to support modern, high-volume, multi-channel service requirements.

Key challenges included:

Lack of a unified agent experience and seamless workflow management
Limited scalability to support millions of customers and growing case volumes
Absence of AI-driven capabilities such as sentiment analysis and sensitive data detection
Disconnected communication channels across calls, emails, and letters
Inflexible architecture that constrained continuous modernization and expansion

Our Approach

AI-Driven Customer Care Platform Development

Built a custom customer care solution using Appian and AWS, tailored to business requirements and designed for scalability and agility.

Multi-Channel Case Management Enablement

Enabled seamless case creation and handling across multiple channels including phone, email, and letters, improving customer interaction management.

Advanced Communication and Collaboration Features

Introduced a unified agent interface with collaborative case views, comment capabilities, and integrated telephony for inbound and outbound communication.

Scalable Architecture and Integration

Designed a highly scalable system leveraging Kafka-based updates to support large customer volumes and real-time data processing.

Intelligent Automation and AI Capabilities

Embedded AI features such as sentiment analysis, mood detection, threat identification, and sensitive data recognition to enhance decision-making and service quality.

Partner / Technology Ecosystem

Appian Low-Code Platform
AWS Cloud Services
Kafka Streaming Platform
Microsoft Graph

Impact to Date

Platform designed

2,000+ agents supported

Scalable architecture

For handling 10 million+ cases annually

Increased capacity

To serve 36 million customers

Business Impact

Improved scalability and faster rollout of new case types
Enhanced agent productivity through unified workflows and collaboration tools
Enabled AI-driven insights for better customer interaction management
Strengthened customer experience through multi-channel engagement
Increased operational efficiency with automation and intelligent workflows

By transforming a legacy customer care system into a scalable, AI-enabled platform, Coforge enabled the organization to deliver faster, more intelligent, and more connected customer service experiences. The result is a future-ready customer care ecosystem that enhances agent efficiency, improves customer satisfaction, and provides the flexibility to continuously innovate and scale with growing demand.