We just completed an exciting analytics project with one of the biggest on-line reverse logistics companies in Europe

We used advanced data analytics techniques over millions of customer purchase records to analyse consumer behaviour related to on-line returns.  We clustered consumers into different categories depending on their net value to the on-line retailer, the amounts purchased and the percentage of goods returned.  This analysis will help our customer identify fraudulent behaviour and maximise profit for their clients.

If you would like to use our expertise for similar tasks, please contact us.

Exciting times with a new EC project to focus on Personalised early risk prediction using Artificial Intelligence and Big Data technologies!

A new EC funded project called iHELP will apply AI and big data technologies to perform early risk prediction of Pancreatic Cancer.