how it works
Rule-Based Matching
Matching is driven by explicit, rule-based logic defined by the user. Each rule produces deterministic and explainable outcomes. This eliminates black-box behavior and increases trust in results. Matching decisions are fully transparent.
Matching Criteria Creation
Define matching criteria using multiple fields, tolerances, and references. The engine adapts to real-world data variability across systems. Criteria can evolve as data changes. This enables accurate reconciliation in complex environments.
Drag-and-Drop
Rule Ordering
Control the order in which matching rules are executed using a visual interface. Prioritize critical rules and resolve conflicts explicitly. Execution order directly impacts matching precision. This gives teams full control over reconciliation logic.
