Slicker — a modular payments platform with one-integration
Screenshot of Slicker

Slicker

Slicker is a modular payments platform with one-integration setup, machine learning payment routing, and unified reconciliation and analytics.

Screenshot

What is Slicker?

Slicker is a flexible payments platform that works with your existing systems and requires a single integration to start accepting payments. It provides:

  • Global reach for local payment methods and currencies
  • Smart routing powered by machine learning to select the best processing path for each payment
  • Reconciliation and settlement handled for you
  • Detailed analytics and reports, with alerts

Slicker helps businesses unify payment processes, improve checkout experiences, grow subscription services, embed payments into platforms and marketplaces, and improve overall payments performance.

Who created Slicker?

Slicker was built by a team with deep payments experience, aiming to simplify payment flows for merchants and customers worldwide. Its co-founders are Dani Penev, CEO, who has extensive experience building global integrations, and Ivan Valkov, CTO, an expert in observability and machine learning.

What is Slicker used for?

Slicker serves three main audiences:

  • Retail businesses: unify payment flows and improve checkout experiences.
  • Digital businesses: expand subscription services into new markets while maintaining strong features and visibility.
  • Marketplaces: embed payments directly into platforms, manage associated fees, and ensure smooth fund transfers.

Key capabilities

  1. Single integration: Onboard new payment service providers with one integration, reducing complexity.
  2. Global coverage: Support local payment methods and multiple currencies to serve customers worldwide.
  3. Smart routing: Machine learning selects the best payment service provider for each transaction, based on conversion trends and your custom rules.
  4. Reconciliation and settlement: Consolidated financial data streams simplify reporting and analysis.
  5. In-depth analytics: Track payments performance through visual interfaces, or ask the AI agent for detailed explanations.
  6. Reports and alerting: Monitor key payment metrics and detect unusual fees or regional processing issues.

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