An “anomaly” is a deviation from what is standard, normal, or expected. Tealeaf Anomaly Detection automatically identifies atypical patterns in data and alerts users about the said anomalies.
Our client, a leading global fashion and apparel retailer with outlets across Australia, New Zealand, Singapore, and the UK. The case study looks at how they were able to use Tealeaf to find and fix technical issues with their website that were complex to reproduce.
Our client, an insurance company, was aware that a significant number of users who purchase insurance from their website tampered with their application in order to be able to successfully purchase an insurance policy. They were looking for a solution to better manage their risk.
Our client, a leading global fashion and apparel retailer with outlets across Australia, New Zealand, Singapore, and the UK. This article shows how Tealeaf helped them quickly identify issues with a promotion and rectify it before losing too many customers.