3-Way Reconciliation
AI matches orders, deliveries, and payments automatically—eliminating weeks of manual spreadsheet work. 75% reduction in reconciliation time.
Reconciliation is the gate to settlement and close—but data lives in scattered systems.
In logistics and COD operations, reconciliation data comes from:
Before close, teams spend days or weeks each month just matching and chasing timing gaps.
When transaction volumes increase:
Proof from the field:
Finance teams report 75% reduction in reconciliation time when orders, deliveries, and payments are matched automatically—with only exceptions needing manual review.
Nunar introduces a 3-way match layer at the reconciliation stage.
Instead of starting from scattered spreadsheets and systems, teams receive:
Finance teams move from spreadsheet matching to exception handling and close.
This is not about automation speed.
This is about controlled, auditable 3-way close.
Data
Orders, payments
3-Way Match
AI-powered
Exceptions
Flagged for review
Review
Human sign-off
Close
Settlement ready
Organizations running 3-way reconciliation at scale typically achieve:
75%
reduction in reconciliation time
Instant
discrepancy detection and alerts
Manual spreadsheet matching stops being the bottleneck.
Reconciliation becomes a repeatable, auditable 3-way close process.