Commission Optimization Platform Development for Travel Agency

This document is a case study detailing the development of a commission optimization platform for a European-based online travel agency. The agency generates 70% of its sales through meta search engines and 30% from direct traffic, which includes organic traffic and keyword advertising. The case study outlines the challenges faced by online travel agencies in dynamic pricing, emphasizing the need for advanced pricing strategies that consider competitor pricing and external factors. QuickLizard's solution involved implementing a hybrid machine learning and A/B testing approach to predict conversion probabilities and recommend optimal pricing. The platform integrated various data sources, including demand data and competitor analysis, to provide real-time pricing recommendations. As a result of these implementations, the client experienced an 18% increase in revenue and a 7% increase in profit. Future developments are planned to enhance profitability for additional products and services offered by the agency.