Chargebacks bring substantial operational harm to cross-border merchants. Frequent chargebacks result in direct revenue loss, push up chargeback ratios, and damage card scheme credit standing. This may lead to payment gateway throttling, penalty restrictions or even account suspension. In addition, chargebacks raise heavy workloads on dispute responses, manual reviews and after-sales communication, hindering regular business operation and global growth. This solution provides proactive chargeback pre-warning and intelligent disposition, integrated with real-time dispute notification networks of global major card schemes. It triggers risk alerts within the 24-72 hour golden response window after a cardholder raises a transaction inquiry with the issuing bank. Merchants gain sufficient time to negotiate, issue proactive refunds and resolve disputes amicably, intervening before disputes escalate into formal chargebacks and avoiding chargeback records at the source. Backed by cross-network data collaboration covering thousands of global issuing banks, the platform detects and resolves potential disputes across Visa, Mastercard and other major international card brands, covering over 70 countries and regions worldwide. It fits cross-border e-commerce, independent storefronts, subscription billing, digital goods and other global business scenarios.
Highlights
Capture the 24-72 hour golden response window to resolve disputes before they turn into formal chargebacks
Connect with global major card schemes and thousands of issuing banks, covering transaction disputes across Visa and Mastercard
Effectively reduce chargeback rates and avoid revenue loss, card scheme rating downgrades and payment channel restrictions
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You pay per alert, with three independent dimensions based on the type of dispute notification received. The Chargeback Alert dimension covers early warnings before a dispute is filed. The Chargeback RDR and Chargeback CDRN dimensions cover specific card-network dispute resolution notifications. Each dimension is billed by the number of alerts you process, so costs scale with your dispute volume. You can use one, two, or all three dimensions together. There are no tiers or bundles; you pay only for the alert types you handle.
Top-of-mind questions for buyers
What counts as one alert for billing across the three dimensions?
One alert equals one dispute notification you receive and process. The Chargeback Alert covers early warnings before a dispute is filed. The RDR and CDRN dimensions cover specific card-network dispute resolution notifications. Each notification received counts as a separate billable unit.
If I only receive early warning alerts, am I still billed for RDR and CDRN?
No. The three dimensions bill independently. You pay only for the alert types you actually receive and handle. If you process only early-warning Chargeback Alerts, you incur no RDR or CDRN charges. Costs scale with the volume of each alert type separately.
Which dimension drives most of my cost?
No single dimension dominates by design. Each alert type bills per notification at its own rate, and all three appear on the same invoice. Your cost mix depends on which dispute notifications your transactions trigger. Higher dispute volume in any one channel raises that dimension's share.
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A comprehensive suite of AI-powered prevention solutions designed to protect digital commerce throughout the entire customer journey.
By combining advanced device fingerprinting and enhanced identity verification (eKYC), you can accurately distinguish real users from bots, fake accounts, and account takeover attempts. Meanwhile, promotion abuse prevention safeguards marketing campaigns from multi-accounting and fraudulent incentives. Real-time payment fraud detection and chargeback alerts help your risk team block fraudulent transactions, minimize losses, and scale with confidence - all through a single, flexible decisioning platform.
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The real-time anti-fraud system uses big data, AI, hyper-converged computing, and time-series learning to monitor transaction risks in finance, payment, and Internet sectors. It analyzes user transaction patterns, device fingerprints, and risk profiles to provide early warnings and control for high-risk transactions in real time.
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