Case Study: a leading North American process manufacturer achieves faster, more accurate AR/AP matching with Concurrency

Leading North American Process Manufacturer cuts data entry errors by 50% with Concurrency

A leading North American process manufacturer faced significant challenges in its accounts receivable and payable operations due to a heavily manual process for matching incoming payments to invoices. This labor-intensive system was error-prone, created bottlenecks, and hindered customer responsiveness. To address this, the company partnered with Concurrency, Inc. to implement an AI-powered receipt-matching solution built on Microsoft Azure.

Concurrency, Inc. deployed a scalable solution that used Azure Machine Learning for fuzzy invoice matching and integrated with Microsoft Teams via a Power App for human review. This AI-driven system automated exception handling and data processing. The results were substantial, including a 50% reduction in data entry errors, a 30% increase in processing speed, and saving the finance team 20 hours per week, which allowed them to focus on higher-value strategic work.