CASE STUDY
A Leader in Hotel Booking and Travel Partnerships
Enhancing Data-Driven Personalization and Infrastructure for a Global Travel Platform
Project Overview
This global hotel booking platform connects millions of travelers to competitive hotel rates while rewarding them with airline miles through partners like T-Mobile and LifeMiles. To keep pace with growth, the company needed to modernize its data infrastructure, strengthen backend reliability, and accelerate AI-driven personalization.
Distillery partnered with the client in a multi-year engagement to enhance data stability, improve API performance, and enable real-time personalization, supporting both internal teams and global travel partners.
Challenges Faced
The platform’s legacy systems required a complete overhaul to improve scalability, compliance, and performance. Its hotel recommendation engine needed fine-tuning for higher booking conversions, and global expansion demanded low-latency APIs to deliver multilingual experiences. Security and payment systems also required modernization following a cyberattack.
Solutions Implemented
Distillery’s engineers rebuilt the platform’s data architecture using scalable cloud pipelines and microservices, improving speed, reliability, and security. The data science team optimized the ML recommendation engine, integrating behavioral signals and A/B testing to drive booking efficiency.
We also developed high-performance APIs enabling sub-100ms content translation for multilingual markets and enhanced partner-facing payment systems with fraud-prevention logic.
In collaboration with the client, Distillery built a flexible cross-sell widget to increase average bookings and lifetime value. The widget intelligently surfaced complementary products during the customer journey, launching with major partners already onboarded.
Solutions Implemented
Distillery’s engineers rebuilt the platform’s data architecture using scalable cloud pipelines and microservices, improving speed, reliability, and security. The data science team optimized the ML recommendation engine, integrating behavioral signals and A/B testing to drive booking efficiency.
We also developed high-performance APIs enabling sub-100ms content translation for multilingual markets and enhanced partner-facing payment systems with fraud-prevention logic.
In collaboration with the client, Distillery built a flexible cross-sell widget to increase average bookings and lifetime value. The widget intelligently surfaced complementary products during the customer journey, launching with major partners already onboarded.
Outcomes Achieved
The revamped platform achieved faster dashboard performance, improved security and scalability, and increased partner confidence. AI-driven personalization and UX experiments boosted conversions, while new cross-sell capabilities unlocked additional revenue streams.
Next Steps
Distillery continues to support the platform’s backend and frontend systems, driving ongoing optimizations and new feature development. Our engineers remain embedded as trusted team members, ensuring system reliability and continuous improvement for travelers and partners worldwide.
Technologies
Client
A global hotel booking platform that rewards travelers with airline miles and loyalty points through strategic partnerships, delivering a personalized booking experience at scale.