Recover More Failed
Payments on Autopilot
Slicker builds a unique recovery strategy for every failed payment and triggers retries automatically through your existing billing system. Your invisible autopilot for payment recovery.
How Smart Retries Work
Slicker integrates with your billing system and payment gateway, then runs every failed payment through its AI decision engine to determine the optimal time, payment method, and gateway for each retry. Recoveries flow through your existing billing infrastructure, indistinguishable from regular payments. Nothing changes for your finance team.
One Model Can't Know Everything
Generic retry engines apply one model to every transaction. Slicker deploys an ensemble of hyper-specialized ML models—each one an expert in its domain—then orchestrates them to produce a single, optimized decision for every failed payment.
A consumer debit card from a regional bank in Germany has nothing in common with a corporate Amex in California. Our ensemble knows both, because it has dedicated models for each.
AI Alone Isn't Enough. Context Is.
On top of our ensemble of models, Slicker layers deep industry heuristics. The kind of domain knowledge that turns a good model into an exceptional one. Because knowing when to retry is as important as knowing whether to.
Network Recommendations
We incorporate network signals like Mastercard's Merchant Advice Codes to determine when to retry, when to stop, and when to request a new payment method.
Network guidanceRegional Pay Cycles
Retries aligned to when money actually lands. Bi-weekly in the US, monthly in Europe, variable across APAC.
Pay day awarenessBank & Public Holidays
Retrying on a national holiday means lower approval rates. We factor in bank holidays and processing schedules across every region.
Holiday calendarsPayment Patterns
Beginning-of-month surges, end-of-quarter corporate renewals, seasonal spending shifts. All factored in.
Temporal patternsCard Updater Flows
When networks push updated card details, we detect and time retries to coincide with fresh credentials.
Network updatesBilling System Specifics
Each platform handles retries differently. We work within your billing system's constraints, not against them.
Platform-awareIntelligent at Every Layer
Slicker's intelligence goes beyond choosing a day and triggering a retry. We optimize every aspect of the recurring payment recovery process.
Retry Timing
Every retry is timed to maximize approval odds. Our models factor in pay cycles, time of day, day of week, and issuer-specific patterns to find the window where success is most likely.
Payment Gateway Selection
Not all gateways perform equally for a given issuer. Slicker routes each retry through the processor with the highest historical success rate for that specific card and region.
Payment Method Selection
When a card on file is outdated or blocked, Slicker checks for updated credentials via network token services and card updaters before retrying with the best available method.
Recovery Strategy
Each failed payment gets a tailored recovery plan: retry cadence, fallback sequences, escalation to dunning, and when to stop. No rigid schedules, just adaptive decision-making.
Geographic Optimization
Recurring payments work differently across regions. India treats card payments as asynchronous, SEPA has unique mandate flows, and issuer behavior varies by country. Slicker adapts to each.
Continuous Learning
Every retry outcome feeds back into our models. Slicker gets smarter with each transaction, adapting to shifts in issuer behavior, seasonal patterns, and your subscriber base.
Complete Payment Recovery
Explore our other products to maximize your payment recovery.
Never Worry About
Payment Failures Again
Retain your customers with the best-in-class AI payment recovery platform. Guaranteed ROI with success-based pricing.