Automating ledger matching for high-volume B2B wholesale transactions
Ledger Inefficiencies
B2B wholesalers often deal with complex, multi-currency invoice payments that require manual matching against ledger books, causing severe cash flow delays and accounting errors. FinFlow Technology aimed to automate this process. The system needed to process 100k+ daily transactions, run verification algorithms, and match invoices to bank ledger entries in real time, all while maintaining strict banking compliance.
The main objective was to match invoices to incoming wire transfers within seconds, flagging discrepancies automatically and providing instant operational reports for accounts teams.
Automated Reconciliation
We built FinFlow's automated matching ledger, an AI-driven SaaS platform that syncs directly with international bank feeds.
The reconciliation system automatically pairs deposits with pending invoices based on metadata checks, currency conversions, and customer purchase logs, routing unmatched items to an exception ledger.
Mobile-First, Web-Agnostic
Ledger Architecture
Designed high-throughput ledger databases capable of atomic transaction records.
Match Engine
Programmed a rule-based engine that automatically reconciles bank feeds with pending invoices.
API Security
Implemented secure banking-grade APIs and WebAuthn multi-factor credentials.
Operator Console
Built a high-performance web interface optimized for bulk sorting and exception handling.
Frictionless Cash Flows
The platform eliminated the backlog of manual invoice checking. Accounts teams now reconcile transactions instantly on a modern dashboard, shortening payment confirmation periods and accelerating working capital.
99.9% Match
Validation accuracy achieved across 100k+ daily transactions in real time.
