Quavo’s AI-powered dispute management solutions help issuers minimize fraud and dispute losses while maintaining a seamless accountholder experience. As a leader in chargeback management solutions, Quavo combines automation with business intelligence to recover more disputed dollars—faster and with less risk. From chargeback recovery to proactive fraud resolution, we protect your bottom line at every stage.
Rising losses stem from a complex web of increasing fraud, limited merchant collaboration, and outdated technology that slows down dispute resolution.
Process inefficiencies
Legacy systems can’t keep pace with modern fraud tactics and growing dispute volumes, leading to costly delays and error-prone manual processes.
Inadequate reporting
Traditional dispute management lacks the advanced data insights needed to pinpoint problem areas, recognize trends, and drive smarter decision-making.
Delayed resolution
Outdated, manual workflows prolong dispute resolution, increasing write-offs and missed recovery opportunities, all while exposing issuers to compliance risks.
Losses aren’t just about money – they signal inefficiencies that slow recovery and hinder dispute resolution. Quavo’s solutions help institutions recapture more disputed dollars through automation and intelligence.
Quavo automates key dispute processes at every step, accelerating resolutions, reducing compliance risks, and minimizing financial losses.
Powered by Snowflake and Explo, Quavo’s Business Intelligence suite provides in-depth, configurable analytics that help issuers track merchant trends, identify first-party fraud, and measure productivity with real-time precision.
QFD’s intelligent work routing ensures cases are processed according to regulatory and Association deadlines, eliminating missed requirements. Automated chargebacks initiate recovery in days - maximizing recapture rates and reducing financial losses.
“Quavo has mentored our leadership staff on how to manage our claim volumes and daily workloads using automation, built-in tools, and reporting”
Barbara Valona
VP & Bank Card Center Manager
“VCU has a great relationship with Quavo and the DRE team. They are quick to respond and always open to suggestions that fit how we want to handle our members disputes.”
Trina Becker
Manager of Fraud and Disputes
Dispute management solutions are platforms that automate end-to-end handling of payment disputes for FIs. They integrate with core banking and card networks to receive claims, investigate transactions, apply regulatory requirements, issue provisional credits, and manage recoveries, all with minimal manual intervention.
Automated workflow management, built-in Reg E/Z compliance, chargeback automation and recovery, real-time analytics, integration with core banking and merchant tools, AI-powered investigation, and scalable architecture for volume fluctuations.
By automating manual tasks, like case routing, correspondence, chargeback filing, provisional credit issuance, dispute solutions eliminate delays from siloed systems and human error. QFD® clients report over 60% faster dispute resolution and significant reductions in cost-per-claim.
Issuing banks, credit unions, fintechs, and sponsor banks all benefit. Any organization processing payment transactions and handling consumer disputes can reduce losses, improve compliance, and enhance customer experience with the right platform.
Compliance is built directly into QFD®’s workflows. Regulatory timeframes, correspondence requirements, and deadlines for Reg E, Reg Z, and card network rules are automatically enforced — so institutions meet obligations without manual tracking.
Originally published on FinXTech.com At most financial institutions, fraud and dispute management shows up on the expense line, not the strategy agenda. Cases move, and
Fraud and dispute management is one of the most expensive operational challenges facing financial institutions today, and for most, it’s costing them even more than
Every fraud wave has a tell: a merchant category code that starts showing up too often, a filing pattern that doesn’t fit the usual profile,