The client is a leading IT solutions provider specializing in travel distribution services through advanced software. As a major Global Distribution System (GDS), the company facilitates seamless search, pricing, booking, ticketing, and reservation management for airlines, hotels, car rentals, rail, cruises, and travel agencies.
Success Story
About the Client
Business Needs | Operational Challenges Across Travel Distribution Services
The client aimed to enhance system stability amid operational challenges affecting incident resolution and performance, key issues included:
- Limited visibility into previously resolved tickets and applied solutions led to delayed troubleshooting efforts.
- Heavy reliance on manual searches across Rally tickets resulted in significant time and productivity losses for engineers.
- Lack of automation and consistency in identifying recurring production issues within bundled booking systems.
- Fragmented knowledge across teams, limited faster resolution, root-cause analysis, and proactive issue prevention.
Solutions | Next-Gen Support Enablement with Generative AI Services
The solutions focused on modernizing the client’s support landscape using Generative AI capabilities and an enterprise-grade architecture.
- Our team established a comprehensive knowledge base with data loading and governance principles, to ensure information accessibility for chatbot integration.
- We developed a production-grade, AI-powered L3 chatbot to improve the support team’s turnaround time using the existing Rally tickets as a knowledge source.
- Our experts enabled Single Sign-On (SSO) and built a conversational support experience with a third-party connector to secure authentication and unify access across the system.
- We deployed the solution within the client’s environment using a robust, scalable architecture to meet performance, security, and operational reliability requirements.
Business Impact | Operational Gains Through Package Distribution Solutions
- 50% reduction achieved in analysis time for repetitive tickets by L2 and L3 teams through streamlined processes and faster identification of similar historical issues.
- Significant decrease in turnaround time (TAT) for recurring incidents, allowing faster resolution and improved operational efficiency.
- 30% reduction in the number of logged tickets by deflecting repetitive issues through improved knowledge reuse.
- Improved engineering productivity, allowing support teams to focus on complex, high-priority issues instead of routine investigations.
- 70%+ user satisfaction rate, reflecting strong adoption and positive feedback on the enhanced support experience.
Technology Stack
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