B2B Payment Reconciliation Engine

FinFlow

Automating ledger matching for high-volume B2B wholesale transactions with bank-grade security and sub-second validation.

Industry
Fintech
Role
Creator
Timeline
5 Months
Platform
Web / PWA
FinFlow Reconciliation Interface
01 · The Challenge

Understanding the problem.

B2B wholesalers deal with complex, multi-currency invoice payments that require manual matching against ledger books, causing severe cash flow delays. The system needed to process 100k+ daily transactions and match bank ledger entries in real time, all while maintaining compliance.

02 · Discovery & Research

Finding the right direction.

We audited accounts receivable operations and interviewed accounts managers. We designed a keyboard-driven reconciliation dashboard that enables accounts staff to inspect exception pools, using clean typographic grids to minimize fatigue.

Accounts Workflow Audit
High-Density Ledger Views
Keyboard-Driven Interface
03 · Product Strategy

Defining the product vision.

We designed the strategy around an automated validation rule engine. Ingesting coverage rules and pre-flagging exceptions targets human verification focus onto complex anomalies, accelerating B2B reconciliation.

04 · Engineering Approach

Building technology that scales.

We engineered the backend transaction pipeline using message queue brokers (Kafka) to guarantee message delivery. Deduplication logic prevents transaction double-processing, and multi-tenant database partitioning keeps search latency under 50ms.

05 · Outcome & Learnings

Creating measurable value.

The enterprise platform successfully automated wire matching and ledger reconciliation boards. We learned that high-volume transaction streams require strict API rate-limiting and fallback queues to protect data integrity.

99.9%
Match Accuracy Rate
85%
Less Manual Overhead
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