Tackling Chargeback Challenges at Scale with Machine Learning and Dynamic Arguments - with Roenen Ben-Ami at Justt
Digest
This podcast episode features Ronin Ben Amie, co-founder and chief risk officer at Just, discussing the complexities of chargebacks and how AI can help retailers. The episode explains the chargeback process, highlighting its "guilty until proven innocent" nature and the significant manual effort required for dispute resolution. It emphasizes the growing problem of friendly fraud, costing merchants an estimated $180 billion annually. Ronin details chargeback reason codes and the challenges of scaling response processes. Just's AI solution is presented, focusing on data enrichment from multiple sources, dynamic AI-generated arguments, and automation to improve win rates. Finally, the episode highlights the business intelligence gained from analyzing chargeback data, enabling merchants to improve processes and risk management across various PSPs, reason codes, and geographic locations.
Outlines
Chargebacks, AI, and Business Intelligence
This episode introduces the challenges of chargebacks for merchants, focusing on the high costs associated with friendly fraud and the complexities of the dispute process. It introduces Just, an AI company offering solutions to automate and improve chargeback response.
Understanding and Addressing Chargebacks
A detailed explanation of the chargeback process from the merchant's perspective, including the burden of proof and the significant financial losses incurred. The discussion covers manual efforts in disputing chargebacks and the prevalence of friendly fraud.
AI-Driven Chargeback Solutions and Business Intelligence
This section details Just's AI-powered solution, emphasizing data enrichment, dynamic arguments, and automation for improved chargeback win rates. It also explores the business intelligence derived from analyzing chargeback data to optimize processes and risk management.
Keywords
Chargeback
A chargeback occurs when a cardholder disputes a transaction, resulting in the merchant losing funds. The merchant must prove the transaction's legitimacy.
Friendly Fraud
A type of chargeback where the cardholder disputes a legitimate transaction, often due to forgetfulness or intentional deception.
Chargeback Automation
Using AI and technology to automate chargeback dispute responses, improving efficiency and win rates.
AI-powered Chargeback Dispute Resolution
Leveraging artificial intelligence to analyze data, generate tailored responses, and automate the chargeback dispute process.
Data Enrichment
Combining data from various sources (payment processors, merchants, third parties) for effective chargeback dispute resolution.
Dynamic Arguments
AI-generated, customized responses to chargebacks, maximizing the chances of winning the dispute.
Business Intelligence
Insights gained from analyzing chargeback data to improve processes and risk management.
Q&A
What is the "guilty until proven innocent" nature of the chargeback system?
The system presumes the merchant is at fault until they provide sufficient evidence, placing the burden of proof on them and often leading to lost revenue.
How does Just's AI platform improve chargeback win rates?
Just uses data enrichment, dynamic arguments, and automation to create highly effective, scalable chargeback responses, significantly increasing win rates.
What business intelligence can merchants gain from chargeback data analysis?
Analyzing chargeback data reveals trends across PSPs, reason codes, and geographic areas, helping merchants identify fraud vulnerabilities and improve risk management.
Show Notes
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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