Improves Accuracy, Cash Flow and Eliminates Manual Bottlenecks
Intelligent Automation (IA) | RPA & Machine Learning | AI-Driven Cash Application Automation | Bathroom & Kitchen Fixtures Manufacturing
A global manufacturer in the bathroom and kitchen fixtures industry manages a high volume of customer payments across regions. The Accounts Receivable team was responsible for applying cash receipts accurately while handling multiple payment formats and large remittance files from buying groups.
As transaction volumes increased, the manual cash application process became difficult to sustain — creating delays, errors, and operational strain on the AR team.
“Our cash receipts process was overwhelming, preventing customer payments from being entered in a timely, accurate basis. We looked to eAlliance to help us with challenge by automating as much of this process as possible while keeping a “human in the loop” for verification. We now apply cash on a timely basis with little to no errors in the process, and have eliminated the need to onboard a new employee.”
The organization struggled to keep up with applying cash due to both volume and complexity. Customer remittances arrived in different formats, including large payment batches with thousands of line items from buying groups.
A single AR analyst was responsible for processing these receipts, leading to delays, manual errors, and limited visibility. As volumes continued to grow, the risk of posting inaccuracies increased, and onboarding additional staff became a concern.
The organization needed a scalable solution that could automate the bulk of the process while retaining human oversight where necessary.
For the global Bathroom & Kitchen Fixtures company this is the solution which we have provided
eAllianceAI designed and implemented an AI-driven cash application solution tailored to the company’s specific business rules and remittance formats.
Using robotic process automation and machine learning, the solution automated payment intake, data extraction, validation, and posting. A “human-in-the-loop” approach ensured that AR analysts retained control over verification and exception handling.
This enabled the organization to process high-volume, complex remittances accurately — without adding headcount.
The AI-driven cash application process includes:
Customers email remittance details directly to the automation system, eliminating manual collection.
Machine learning models extract payment and remittance data from various formats with high accuracy.
AR analysts review and confirm extracted data, maintaining oversight and control.
Automation validates remittance data and calculations against open receivables.
Valid transactions are posted automatically to the accounting system, while exceptions are routed to the AR analyst for resolution.
By implementing AI-driven cash application automation, the organization transformed a high-volume, error-prone process into a scalable, controlled, and reliable operation that supports continued growth.
eAllianceAI is committed to helping organizations achieve business value by creating solutions that fit each customer’s unique requirements and business model by using Agentic Automation, Generative AI, Intelligent Document Processing (IDP) and Robotic Process Automation (RPA).
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