Case study
Fact Combiner – algorithm-based sales booster
Industry
Tourism
Services
Web Development · Machine Learning · Data Analytics
Tech
MongoDB · Java · JavaScript · Node.js · Glassfish
About the project
Fact Combiner – algorithm-based sales booster
One of the biggest challenges in the travel industry is how to deliver a given offer to the customer to make a purchase. In response to these needs, we have created Fact Combiner - an algorithm-based system that matches the offer to user behavior on the website using machine learning and AI. Eventually, the customer receives recommended trips to their needs, and the tour operator gains a satisfied customer and increases the value of the shopping cart and conversion rate.
Results
per day recommended products
of the users choose a recommended search
Key features
What powers the solution
Recommending products to users
The tool uses Machine Learning to analyze user behavior, predict future actions, and recommend products tailored to customer preferences. If enough data is available, the algorithm suggests similar offers based on browsing patterns. For new users, it displays the TOP options. The system generates recommendations for nearly 60k users in real time.
Improving marketing campaigns
The algorithm not only displays personalized recommendations but also collects valuable marketing data, including viewed and booked offers, browsing frequency, and geolocation. Based on these insights, it creates customer profiles that help optimize marketing campaigns. Clients can also access detailed statistics at any time to monitor performance and analyze customer behavior.
Results
Measured outcomes
AI-powered product recommendations improved the customer experience, leading to higher conversion rates and increased sales.
The platform delivered valuable insights into customer behavior, helping optimize marketing campaigns and automate data-driven decision-making.
The algorithm continuously analyzes 120 million user interactions each month, creating millions of behavioral profiles that help deliver more relevant product recommendations in real time.
NEXT STEP
What comes next
Fact Combiner is not limited to the travel industry and can be easily adapted to any business where consumers make purchasing decisions online. It also integrates offline bookings, enabling comprehensive data analysis and real-time statistics and reporting. We expect the solution to continue evolving in the coming years and plan to implement it for new clients, tailoring it to their specific needs and business models.
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