A leading operator of port and logistics infrastructure manages high volumes of customer transactions across multiple business units, terminals, and port locations. Every day, their finance teams had to process payments arriving through diverse banking channels with varying advice formats.
As volumes grew, maintaining timely collection visibility and accurately reconciling payments against invoices became increasingly necessary. Moreover, faster cash application, better financial accuracy, and stronger operational controls were required to support efficient finance operations and healthy working capital.
Customer payments rarely arrive in a perfectly structured format. This led finance teams to reconcile fragmented data scattered across emails, bank statements, and SAP ledgers, all while managing advances, partial settlements, and multi-invoice transactions.
This intensive manual workload delayed operations. Staff spent hours downloading attachments, extracting details, verifying banking records, and matching ledger entries. Variations in document formats and inconsistent references further complicated the process.
Significant manual effort is required to reconcile customer payments across systems.
Delays in invoice clearing and cash application activities.
Complex reconciliation involved advance payments and partial settlements.
Difficulty in maintaining consistent matching and validation processes across business units.
Growing exception queues requiring manual investigation.
Limited end-to-end visibility and auditability across the reconciliation lifecycle.
Scry AI implemented its Financial Accounting and Reconciliation Solution to transform customer payment reconciliation into a streamlined, intelligence-driven finance process.
The platform automatically unifies payment advice, bank statements, and SAP records. It lets finance teams replace manual cross-system comparisons with a centralized process, scaling transaction reconciliation.
The system automatically ingests payment emails and bank statements. It instantly extracts critical identifiers like invoice numbers, virtual IDs, UTR references, and amounts while simultaneously retrieving relevant SAP records.
The platform executes deterministic matching for accurate reconciliation. Plus, configurable rules automatically resolve advances, partial payments, and multi-invoice transactions. This reduces overall manual intervention.
Controlled review workflows, approvals, audit trails, and SAP write-back controls strengthen governance. Every decision is now fully traceable from the initial payment advice through ledger postings.
| Metric | Outcome |
|---|---|
| Reconciliation Effort | Significant reduction in manual reconciliation activities |
| Invoice Clearing | Faster invoice settlement and cash application |
| Data Extraction Accuracy | Greater than 90% extraction accuracy |
| Payment Matching | Automated handling of advance and partial payment scenarios |
| Financial Controls | Improved reconciliation consistency and governance |
| Auditability | End-to-end traceability from payment advice to SAP posting |
| Exception Management | Reduced manual investigation effort |
| Scalability | Supports future business unit expansion without additional operational complexity |
Stop fighting fragmented data and manual matching. Scry AI's Financial Accounting and Reconciliation Platform unites payment advice, bank transactions, and SAP records into one automated workflow. Secure faster cash application, tighter financial controls, and rapid invoice clearing with a scalable framework built for growth.