Order To Cash Software: Leveraging Ai To Automate Accounts Receivables

Corcentric

AI IN ACCOUNTS RECEIVABLES

Order to Cash (OTC) is the process of the entire revenue cycle, from the customer-facing order entry and quotes, to the back-office cash collection activities. Utilizing Artificial Intelligence (AI) in the OTC process provides tremendous value from both an operational and customer service perspective, resulting in streamlined processes, reduced costs, and improved receivables performance.

AI-based OTC software is powerful tool that offers multiple benefits to any organization, including the ability to automate many processes such as accounts receivables. By leveraging AI, accounts receivables processes can become centralized, automated and streamlined, providing customers with superior customer experience by eliminating manual errors and streamlining communication. AI systems can use machine learning algorithms to gain insights into customer behaviour, identify their needs, help team members reduce their workload, accurately predict payment behaviour and proactively prevent credit risk.

To help you leverage AI in accounts receivables, we?ve created step-by-step guide to using an OTC solution.

Step 1: Determine Your Needs

The first step in creating an AI-based OTC solution is to determine your organizations needs. Consider the areas in which automation could help your business. Start by evaluating the current accounts receivables process, identify data points that can be collected, how information can be captured, etc.

Step 2: Select System

Selecting the right OTC software for your organization can be daunting task. Be sure to research various systems thoroughly and read customer reviews. Choose system that offers customisable features so you can tailored it to your needs.

Step 3: Train Employees

Once you have determined what AI-based technologies are needed and have selected system, it is time to move on to the training process. Employees should be trained on how to use the new OTC solution and understand the process.

Step 4: Test the System

Before you fully implement the system, make sure to test it. Test the system to ensure that all features are working properly and that all data points are being accurately captured.

Step 5: Monitor and Assess

Once the OTC system is implemented and running, it is important to monitor and assess the system regularly. Regularly review the system for areas of improvement or errors and make sure you are obtaining the proper insights from the system.

In conclusion, utilizing AI-based OTC software can drastically improve accounts receivables processes and provide organizations with numerous benefits. From automating workflows to improving accuracy and increasing efficiency, an AI-based OTC system can make great addition to any organization.