Uncovering the Hidden Gems of Fraud Detection-Leveraging Behavioral Features
As technology and fraud techniques advance, businesses need to move beyond traditional fraud detection techniques and incorporate user behavioral features to boost accuracy. In this double presentation, Agoda and Booking.com will share how they leverage behavioral features to detect fraud in the travel industry. Agoda will explore the process of generating behavioral features, the technology behind incorporating them into machine learning models, and some of the techniques used to amplify the difference between fraudulent and non-fraudulent behavior. Booking.com will share their approach to detecting fraudulent hotel listings, which includes a multi-stage machine learning system that monitors the behavior of new hotels as they onboard onto the platform . The models monitor hotel actions from the early stages of signup up until the hotel is live on the website and interacting with guests.
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With 1 in 6 online purchases returned, merchants saw $212B in returns, of which, 10.7%, or $22.8B, were fraudulent*.
Online returns have enabled fraudsters to exploit policy loopholes and illegitimate returns are now a complicated issue merchants are facing taking on various forms, such as manipulating a shipping label, returning a different item than originally purchased or claiming the item was never received.
Accertify's C.A.R.E. - Claims, Adjustments, Returns and Exchanges - is a purpose-built solution that detects fraudulent patterns in shopper behavior.
Join this webinar to hear all about the launch of C.A.R.E. and how merchants can monitor, measure and act to prevent future abuse.
Learning Objectives:
- Introducing C.A.R.E. – Claims, Adjustments, Returns and Exchanges – a purpose-built solution by Accertify that detects fraudulent patterns in shopper behavior.
- Hear all about C.A.R.E. and how merchants can:
- Monitor, measure and act to prevent future abuse.
- Use aggregated data to gain insight into a purchase and transaction.
- Implement policies and controls to identify fraudulent returns.
- Benefit from Accertify’s community data to help solve this growing problem.
*Customer Returns in the Retail Industry 2022 PDF.