Comprehensive user interaction trackingThe AltexSoft data science team has built an automated system to track and consolidate a wide variety of user interaction information, from website actions to metadata. Aggregating user actions allows for precise data analysis and predictions of preferences for each user.
Robust user analysis engineThe AltexSoft team has developed a user analysis engine, which accumulates all collected data into a single database. The core of the engine is represented by multiple machine learning models for predictive analysis. Currently, the algorithms can forecast the likelihood of conversion and apply content-based personalization techniques.
Optimized marketing workflowBased on conversion forecasts, Fareboom.com can improve its marketing efforts, ranging from advertising campaigns to market analysis.
Increased customer engagementThe content-based personalization provides Fareboom with the opportunity to tailor its flight offerings to the individual customer. This tangibly increased user engagement and ultimately the OTA’s revenue.
Approach and Technical Info
The Fareboom personalization engine was developed by a dedicated AltexSoft team consisting of two data scientists, a database administrator, a software engineer, and a UX designer.
The project entailed the development of the database for data storage, the personalization algorithm, UX design for new elements, and integration of the new components into the existing product.
The technology stack included: Python, scikit-learn, Microsoft.NET, C#, MS SQL Server.
Services provided within the project framework: Travel Technology Practice.
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