Transaction Matching That Works the Way You Think
Nominal’s AI Transaction Matching engine detects, pairs, and prepares your GL reconciliation — with logic tailored to intercompany, inventory, and more.
Make Manual Matching Obsolete
Matching by hand is slow, error-prone, and frustrating — especially at scale.
Nominal’s AI Transaction Matching reads your general ledger (GL), identifies related transactions based on dimensions and fields such as PO, Vendor, Customer, Procurement Item, and then recommends matched pairs for review. You stay in control, but never have to start from scratch.
Match Anything That Matters
Operational Matches
Match entries by vendor, transaction ID, or internal logic — fully configurable to your workflow.
Inventory Reconciliation
Identify and match inventory movement and cost adjustments across warehouses or entities.
Intercompany Reconciliation
Match journal entry pairs across entities, even if they’re recorded in separate systems or on different dates – using shared reference numbers, amounts, dimensions or other metadata. Then use AI agents to trigger eliminations automatically.
Why Nominal for Transaction Matching
- Custom matching rules based on real GL logic
- Supports intercompany, inventory, and cross-entity flows
- Eliminations built in — no export/import steps
- Review-first workflows ensure transparency and auditability
