Tackling Chargeback Challenges at Scale with Machine Learning and Dynamic Arguments - with Roenen Ben-Ami at Justt
Feb 19, 2025
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Roenen Ben-Ami, Co-founder and Chief Risk Officer of Justt, dives into the world of chargebacks and the nuances of friendly fraud. He explains how many merchants struggle with the 'guilty until proven innocent' scenario when customers dispute charges. Roenen highlights the innovative use of AI for crafting dynamic arguments that help recover lost funds and maximize win rates. He emphasizes how integrating data sources can streamline the dispute process, offering merchants a lifeline in managing chargebacks more effectively.
The rise of friendly fraud necessitates that merchants adopt automated solutions to streamline their chargeback responses and recover lost revenue more effectively.
By analyzing chargeback trends, merchants can gain valuable business intelligence that informs better antifraud measures and enhances overall operational strategies.
Deep dives
Understanding Chargebacks and Their Impact
Chargebacks occur when customers dispute transactions with their banks, leading to merchants losing funds until they prove the legitimacy of the charges. Merchants face a 'guilty until proven innocent' scenario, which creates a complicated and manual process for disputing claims. Many merchants overlook or abandon chargebacks due to the perceived complexity, often leaving revenue unclaimed. With chargebacks on the rise, particularly friendly fraud, it's crucial for merchants to understand the costs involved in these disputes and the potential revenue losses due to inefficiencies.
AI-Driven Solutions for Chargeback Management
Automation and artificial intelligence are transforming how merchants handle chargebacks, allowing for more efficient and effective responses. Solutions like Just leverage data from payment processors, merchant records, and third-party sources to create tailored responses that significantly enhance win rates in disputes. By streamlining the documentation and evidentiary requirements based on specific chargeback reasons, merchants can scale their chargeback response processes without sacrificing accuracy. This sophisticated approach not only helps recover lost funds but also mitigates the manual workload often associated with chargeback disputes.
Business Intelligence Gained from Chargeback Insights
Beyond resolving chargebacks, analyzing chargeback trends provides invaluable business intelligence for merchants. Understanding the dynamics of chargebacks across different payment processors and reason codes helps identify areas of vulnerability, informing better antifraud measures and operational improvements. Insights gained from chargeback data can also enhance customer support strategies by addressing root causes of disputes. This holistic approach to managing chargebacks enables merchants to optimize their overall risk management and enhance their financial performance.
Today’s guest is Roenen Ben-Ami, Co-founder and Chief Risk Officer of Justt. Justt is an AI-driven tech company whose platform helps retail leaders and merchants reduce loss from chargebacks with automation and friendly fraud prevention. Roenen joins us on today's podcast to break down the complexities of chargebacks and how AI-driven automation can help merchants recover lost funds at scale. Together with Emerj Managing Editor Matthew DeMello, Roenen helps explain the "guilty until proven innocent" nature of chargebacks, the rise of friendly fraud, and why merchants often leave money on the table due to inefficiencies in the dispute process. He details how Justt’s proprietary approach—leveraging data enrichment, dynamic arguments, and automation—creates tailored chargeback responses that maximize win rates while reducing manual effort. This episode is sponsored by Justt. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.
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