Using AI to fight fraudulent returns: What to know

Jan 15

Written By Guest User

Podcast originally published here.

Introduction

In recent years, the rise of e-commerce has led to an increase in return fraud, which poses significant challenges for retailers. Retailers are leveraging artificial intelligence (AI) to combat this issue effectively.

How retailers are using AI to stop return fraud

Several strategies have emerged in the retail industry:

• Data Analysis: By analyzing return patterns, retailers can identify suspicious behavior.
• Machine Learning Models: AI models are trained on historical return data to predict and flag potential fraudulent returns.
• Customer Verification: Implementing stronger verification processes can deter potential fraudsters.

UPS, Happy Returns Pilot Vision Software with Everlane

As part of the initiative, UPS and Happy Returns have teamed up with Everlane to pilot a new vision software aimed at detecting fraudulent returns during the scanning process.

Overall, the incorporation of AI technologies in return processes not only helps in reducing fraud but also enhances the return experience for genuine customers.