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.
