Marketing: AI Personalization Engine for Travel
Modernizing a booking system to deliver hyper-personalized user experiences.
The Challenge
T.M's conversion rate was suffering because every user saw the same static homepage. Their legacy system couldn't handle real-time segmentation or personalized recommendations based on browsing history.
The Solution
GTEMAS delivered a rewritten booking engine with a 'Marketing-First' architecture. Caching: Aggressive Redis caching for popular flight routes reducing API calls. Frontend: A Progressive Web App (PWA) using Next.js for speed and SEO. Personalization: Integrated a Customer Data Platform (CDP) layer to serve dynamic content blocks based on user segments.
Architectural Strategy
BFF (Backend for Frontend) pattern to aggregate airline APIs efficiently.
Impact & Achievements
The modern platform allowed T.M to compete with global giants on user experience, reclaiming market share in the region.
Average response time
Booking completion rate
Share of bookings (up from 15%)
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