Transforming Travel Technology: Scalable, Cost-Effective Mainframe Modernization

Our Client

A leading U.S.-based travel technology company, the largest GDS provider for air bookings in North America.

Challenges

•  Legacy system limitations in handling high customer volumes, impacting user experience.
• Scalability concerns, limiting future growth and transaction processing capacity.
• Lack of reliable, consistent data, affecting decision-making.
• Manual, time-consuming processes for reservations, payments, and fulfillment services.
• Absence of technical design documentation, making reverse engineering critical.

Solution

LTIMindtree executed a phased modernization using GCP, Java, Spring Boot, and Cloud Spanner to offload workloads from IBM Mainframe, enhancing scalability and efficiency

• Reverse-engineered legacy applications (TPF Assembly & C on IBM 360) for seamless migration leveraging accelerators 
• The approach prioritized building a core platform and a reference implementation, followed by a Minimum Viable Product (MVP) to ensure rapid value realization.
• Parallel forward engineering efforts accelerated development, supported by in-depth functional analysis, and process and data decomposition, ensuring a smooth and efficient modernization journey.
• Developed a microservices architecture, enabling scalability and cloud-based business logic.
• Automated QA with BDD and performance validation, reducing effort. E2E Business flows for test automation.
• Aligned with the client’s technical strategy, ensuring smooth transition and future scalability.

Business Outcome

• $100M annual cost savings through mainframe offload and cloud migration
• 3X increase in passenger handling capacity, enabling business growth
• 80% faster go-to-market time with a scalable, flexible architecture
• 10-15% reduction in time for business rule extraction, improving efficiency 
• 5-10% reduction in data operations effort, optimizing resource utilization 
• Enhanced performance, scalability, and security, supporting 3x growth in 18 months

Market Dynamics

• The travel technology industry is rapidly evolving with increasing demand for seamless, scalable, and cost effective solutions.
• Airlines, hotels, and agencies require real-time processing, data accuracy, and high transaction volumes to enhance customer experiences.
• Legacy mainframes struggle with scalability and cost efficiency, driving the shift to cloud-based architectures. 
• Our client’s modernization reflects industry-wide efforts to optimize performance, reduce costs, and support future growth. By leveraging GCP and microservices, the client improved scalability, accelerated go-to market, and ensured reliable data-driven decision making.

Conclusion

• The client’s mainframe modernization with GCP resulted in significant cost savings, enhanced scalability, and improved processing speed.
• The transition supported business expansion, reduced time-to-market, and optimized operational efficiency. 
• Moving forward, we can help the client leverage AI-driven analytics, dynamic pricing models, and cloud-native innovations to strengthen its competitive edge and enhance customer experiences.