Intercompany Reconciliation Automation
From use case: Intercompany Reconciliation Automation
A major United Kingdom-based consumer credit provider deployed automated transaction matching to reconcile more than one million transactions daily across 5,000 accounts. According to a Trintech case study published in 2025, the organization achieved a 99.99% match rate while reducing its reconciliation team from 15 full-time employees to five, even as the institution grew substantially in size. Exception management processes that previously required three hours daily were reduced to 10 minutes, and the reconciliation function scaled without proportional headcount increases that other departments required.
A global coffeehouse chain with more than 1,500 locations in the United Kingdom implemented automated reconciliation to manage cash matching across its store network. According to a 2025 Trintech case study, the organization increased match rates from approximately 40% to 99.6% across 3.5 million transactions, reduced treasury team staffing needs to one full-time employee, and eliminated costs associated with manual slip books and certain bank fees. The treasury team gained the ability to configure matching rules and optimize workflows independently, enabling continuous process improvement.
A prominent United Kingdom-based multi-format retailer replaced legacy bespoke reconciliation systems and Excel-based tools with automated store-level matching. According to a Trintech case study, the new system processes more than 20,000 weekly reconciling entries from five data feeds, matching sales and refunds by card type against incoming bank statements. The implementation enabled the finance team to flag bank credit delays promptly and retain interest earnings, translating into measurable cost savings. These examples demonstrate that while full autonomous intercompany reconciliation across complex entity structures remains maturing, the underlying transaction matching and exception management capabilities are delivering proven results in high-volume, multi-entity retail and financial services environments.