Tips for Preventing Suspicious Returns and Return Fraud During the Holiday Period
This holiday season, prevent return fraud by spotting patterns, training support teams, and using Redo & Yofi’s tools to protect
The NBA playoffs have not only captured the attention of sports fans everywhere but also brought an unexpected retail customer policy dilemma to light. Lakers player Jarred Vanderbilt found himself at the center of this controversy after allegedly purchasing a $2,000 outfit, wearing it to the Lakers-Warriors Game 2, and then returning it for a full refund.
Vanderbilt's actions have stirred up a mix of reactions on social media, with many arguing that it's just part of the game and admitting they have engaged in similar practices. However, for retailers, this behavior presents a significant challenge. Striking a balance between maintaining customer-friendly return policies and preventing return abuse is no easy task.
The Dilemmas for Retailers:
While customer-friendly return policies are designed to instill trust and encourage purchases, the abuse of these policies can have unintended consequences for retailers. Excessive returns can lead to increased costs, revenue decline, and strained customer relationships.
With individuals abusing these customer-friendly policies, many brands have begun requiring everyone to re-shipping and return fees. Unfortunately, these uniform policies requiring everyone to pay for returns significantly impact the customer experience and alienate consumers using these return policies for legitimate reasons.
Retailers must strike a delicate balance between maintaining customer-friendly return policies and preventing return abuse. The Jarred Vanderbilt incident serves as a reminder of the challenges retailers face in this ongoing struggle, and it highlights the need for innovative solutions that protect both retailers and their customers.
Yofi helps retailers balance providing the best customer return experience and preventing individuals from taking advantage of the return policy. Yofi uses machine learning to create a comprehensive customer profile by analyzing over 600 features allowing us to flag and predict if someone is taking advantage of a return policy. We have been able to help our partners reduce their return rates by 30% and significantly increase their profitability by eliminating millions in reverse logistics costs.