Guide to AI Based Cash Application Cloud Solutions

The accounting field has seen a shift from manual labor to automated processes, and the process of collecting cash payments is no different. With the growing availability and sophistication of cash application cloud solutions, it is now possible to leverage the power of artificial intelligence (AI) to identify and allocate payments to the correct invoices, eliminating the need for manual sorting and processing. This guide will provide an introduction to understanding the principles of AI-based cash application cloud solutions, as well as provide a step-by-step overview of how to incorporate this technology into a finance organization’s order-to-cash (OTC) process.

Benefits of AI-Based OTC Solutions

In today’s business world, it is critical to make the most efficient use of time, resources, and funds. Cash application cloud solutions powered by AI provide a number of advantages over manual cash application processes, including increased accuracy, improved customer service, and decreased costs associated with manual labor. By applying advanced machine learning algorithms to the OTC process, AI-based solutions can identify and cluster payments automatically, reducing mistakes and improving cash flow visibility. Additionally, these solutions can detect inconsistencies and irregularities in payments, allowing companies to quickly react to potential fraud.

Getting Started

AI-based cash application solutions are integrated with a company’s existing ERP or accounting system in order to streamline the OTC process. To begin, users must install the software, which requires access to server space as well as personnel with technical savvy. This will require creating an internal database with relevant customer and payment data. Once the software is installed, the company must have in place an AI-based process for validating payments.

Integrating into the OTC System

For the OTC system to accurately allocate payments, companies must make sure their payment records are updated. This involves uploading relevant customer information and their corresponding payments into the integrated AI system. Payment data should include payment numbers, dates, names, and reference numbers. After the system is populated, the data is reconciled using the AI-based process, which identifies matching invoices.

Implementing AI in the OTC Process

Having the correct data is essential for the AI-based system to accurately reconcile payments to invoices. Once the payments have been verified, they are then clustered and stored in the software to be used during the OTC process. Clustering involves categorizing payments into distinct sets based on their content, such as regional origin, source country, payment type, etc. This ensures that payments are accurately sorted, allocated, and layered within the OTC system.

AI-based cash application cloud solutions allow companies to maximize the efficiency of their OTC process and minimize the amount of time and resources needed to accurately allocate payments back to customers. As AI technology continues to evolve, cash application solutions offer an increasingly accurate and powerful way to manage the complexities of order-to-cash.