Step 1: Context Capture
At checkout, Pillar8 captures session-level context:- Device type
- Country and currency
- Cart value
- Available and presented payment methods
- Checkout session identifier
Step 2: Decision Engine
The context flows to the Pillar8 decision engine, which evaluates:- Historical transaction patterns
- Performance signals across similar contexts
- Real-time session characteristics
Step 3: Decision Package
The decision package contains:- Ranked payment methods
- Contextual scoring signals
- Confidence indicators
- Eligibility and gating logic
Step 4: Execution
The decision is applied based on your checkout environment. Advisory (default) Pillar8 renders a lightweight advisory layer that guides shoppers toward the recommended payment method. Merchant-controlled execution You can use the decision package to:- Reorder payment methods
- Highlight specific options
- Customize checkout behavior
Step 5: Learning Loop
After transaction completion, Pillar8 receives the outcome via webhook:- Selected payment method
- Transaction result
- Contextual data
Continuous Optimization
Unlike A/B testing, which operates in cycles, Pillar8 adapts in real time at the session level. Each checkout is evaluated independently, enabling the system to:- React to real-time conditions
- Capture edge-case behaviors
- Improve decision quality over time
Key Principle: Checkout behavior is dynamic. Pillar8 replaces static rules and delayed experimentation with real-time decisioning at the moment of payment.