In digital travel shops each customer provides countless clues to discover his true interests and current intent. This valuable information is too often simply ignored – as if the shop isn´t listening to it´s customers. We can use big data technology and predictive analytics to understand these clues and relay personalised services and offers back to the site in order to act for each and every customer individually, in real time and within various different use-cases.

In his speech on the eTravel World congress at this years ITB, Andy Owen Jones focused on how interest and intent are modelled in real-time for every unique user at that moment and how to profile continually in order to understand each individual better and better – the fascinating task of predictive algorithms and artificial intelligence.

You will also hear how travel portals using these technologies benefit from deep and previously undiscovered insights about 100% of their audience – and use those to strategically manage their service and product portfolio.