Machine learning boosts Luxury Travel Club

Accomplishing that goal meant implementing a system that could capture the wide range of customer signals, which could then be used to analyse and predict patterns and preferences related to each individual customer.

But gathering the data was only the first part of the process. For the optimised targeting of offers, data would have to be quickly analysed and turned into actionable insights that could immediately benefit customer transactions. The analysis not only had to be almost instantaneous, but also accomplished automatically with little or no human intervention.

With Dataiku DSS, Voyage Prive effectively created and implemented an application that continuously learns from historical customer data to provide highly personalised offer and travel package selections to its users. Implementing this predictive solution has improved customer satisfaction and boosted transactional value by 6%.

“Voyage Privé is determined to always make its customers’ lives easier when it comes to travel,” said Laurent Dupé, Head of International Marketing for Voyage Privé. “To answer this challenge, Dataiku DSS gives us the power to develop a machine learning approach that offers each of our customers a customised selection. Next steps? Implementing more external datasets to refine our scoring.”

This solution was made possible by the technology behind Dataiku (www.dataiku.com), maker of the predictive analytics software platform Dataiku Data Science Studio (DSS). Dataiku DSS makes it possible for organisations to reap the benefits of data science thanks to a collaborative interface for both expert and beginner analysts and data scientists.

Dataiku offers a complete and accessible advanced analytics software platform that leverages all the tools and technologies required to develop a data research and development department that can build data-driven solutions on their own to improve business and operations.

Dataiku DSS is used by many companies to quickly build predictive services and data products that transform raw data into business impacting products including:

• Churn Analytics;
• Fraud Detection;
• Logistic Optimisation;
• Data Management;
• Demand Forecasting;
• Spatial Analytics;
• Lifetime Value Optimisation;
• Predictive Maintenance.