What is Slicker?

Slicker is an AI‑powered payment recovery platform that analyzes failed recurring transactions and selects the optimal retry or communication strategy for each failure. It uses machine‑learning models, gateway error codes, and customer behavior signals to decide whether, when, and how much to retry, while applying industry heuristics for issuer quirks and regional rules.

The system automatically executes smart retries or sends hyper‑personalized dunning emails with one‑click payment links, ensuring messages are triggered only when customer action can recover the payment. Slicker integrates natively with major billing systems and payment providers—including Stripe, Braintree, Adyen, PayPal, and Zuora—requiring no additional engineering or process changes.

A unified dashboard provides real‑time visibility into recovery rates, failures, and campaign performance across plans and countries. Rigorous A/B testing guarantees statistically significant results, allowing businesses to validate recovery gains before full deployment.

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Slicker's key features

Automated real-time retry engine
Ensemble of specialized ML models
Seamless billing system integration
Adaptive retry timing per cycle
Gateway selection per issuer
Continuous outcome-driven learning

Slicker use cases

automate intelligent retry scheduling for failed subscription payments in Shopify, leveraging Slicker’s real‑time analytics to select optimal retry intervals and trigger personalized dunning emails
embed Slicker into Stripe to build a dynamic recovery dashboard that visualizes success rates, enabling finance teams to A/B test different retry strategies and boost cash flow
deploy Slicker’s smart retry engine within a SaaS billing workflow to automatically send context‑aware SMS and email reminders based on payment failure patterns, improving recovery rates and customer experience