Manual process automation = Accelerated cash flow
Just complete the form below
CUSTOMER SUCCESS STORY
Achieved 94% Payment Automation and Reduced AR Workload by 50% Across 50 Countries
Find Out HowCUSTOMER SUCCESS STORY
Recovered $20M from Invalid Deductions and Boosted Working Capital with A/R Automation
Find Out HowTouchless Auto-Cash Posting
Eliminate manual intervention by automatically matching payments to open invoices using advanced algorithms. This reduces processing time, minimizes human error, and speeds up payment reconciliation, allowing teams to focus on higher-value tasks.
Faster Exception Handling
Automated exception workflows quickly identify and resolve mismatched payments. AI and pre-defined rules flag issues such as short payments, missing remittance details, or overpayments, routing them for faster resolution and reducing delays in cash application.
Improved Item Automation Rates
Automation tools increase the percentage of line items processed without manual involvement. This improvement leads to higher operational efficiency, as fewer transactions require manual corrections, boosting overall accuracy and reducing repetitive workload.
Saves Time and Effort
Automating labor-intensive tasks like payment posting, remittance matching, and exception management saves significant time and effort. Teams can reallocate resources to strategic activities, improving productivity and reducing operational costs.
HighRadius builds solid partnerships and offers robust integration capabilities by integrating with 110+ banks, 40 credit agencies, 50+ ERPs, and 15+ billing systems globally.
Stop guessing. Use the calculator to see how much cash application automation actually saves.
Download CalculatorFind out how Artificial Intelligence and Cloud-Based Machine Learning can help you cut down costs, effort, and time!
Download EBookIdentify and resolve common remittance issues disrupting your AR posting process daily.
Download EBookCash application automation is the use of technology, often powered by artificial intelligence, to automatically match incoming payments to open invoices. This process eliminates manual tasks such as data entry, invoice matching, and payment reconciliation, improving accuracy and speeding up the cash application cycle.
Imagine managing a credit card payment system where hundreds of transactions happen every minute. Instead of manually matching each payment to the correct account, an automated system instantly reconciles payments, updates balances, and flags discrepancies. Similarly, cash application automation ensures that incoming payments are matched to the correct invoices in real-time, reducing manual intervention and ensuring accurate, efficient financial operations.
Automated cash application solution uses AI and machine learning to streamline payment matching and reconciliation. It captures payment data from multiple sources such as bank files, emails, and portals, and matches it with open invoices using intelligent algorithms. The software auto-applies payments, flags discrepancies for review, and updates ERP systems, ensuring accuracy and efficiency.
The software retrieves payment information from various sources such as bank files, customer emails, and payment portals, consolidating it into one system.
Using AI, it extracts details like payer name, invoice number, and payment amount from remittance emails, attachments, or web portals.
Intelligent algorithms match payments with open invoices in real-time, even handling partial payments, short payments, or overpayments efficiently.
The system flags discrepancies such as unmatched payments or deductions, providing analysts with actionable insights for quick resolution.
Once matched, the software updates the ERP system automatically, ensuring accurate records and reducing the need for manual entries.
Implementing cash application software is a strategic move to streamline payment processing and improve cash flow efficiency. A well-planned approach ensures a smooth transition, minimizes disruptions, and maximizes ROI. Here are the key steps to successfully deploy cash application software, from preparation to execution, helping you achieve faster and more accurate payment matching.
Identify pain points in your current cash application process, such as manual data entry, slow payment matching, or delayed reconciliation. Define goals like improving accuracy, reducing unapplied cash, and lowering DSO.
Evaluate software options based on integration capabilities, AI features, scalability, and ease of use. Ensure compatibility with your ERP, bank portals, and payment channels.
Organize and validate existing payment and remittance data from various sources—bank statements, emails, checks, and portals—to ensure a smooth transition.
Connect the cash application software with your ERP, banking systems, and other platforms. Test data flow for accuracy in payment matching and reconciliation.
Customize workflows to match your business requirements, such as automated payment matching rules, exception handling, and reporting preferences.
Conduct pilot testing to ensure the system processes payments accurately, handles remittance data, and reduces manual intervention. Address any errors or mismatches promptly.
Provide training to finance and accounts receivable teams to ensure they understand how to use the new software efficiently and manage exceptions.
After implementation, track key metrics like unapplied cash, matching accuracy, and DSO. Gather feedback, identify areas for improvement, and optimize workflows as needed.
Selecting the right cash application automation solution is critical for streamlining payment matching, improving efficiency, and ensuring accurate cash flow. With numerous solutions available, businesses must evaluate key factors such as integration capabilities, automation features, and scalability to meet their unique needs. Here are the essential factors you must consider to choose the best cash application software for your business.
Ensure the solution seamlessly integrates with your ERP, banking systems, and other platforms to consolidate payment and remittance data effortlessly.
Look for advanced technologies like AI-driven matching algorithms that improve accuracy and reduce manual intervention over time.
The solution should handle payments from diverse sources—checks, ACH, wire transfers, emails, and portals—to streamline the cash application process.
Opt for a solution that can be tailored to your business requirements and scales easily as your transaction volume grows.
Choose a solution that provides real-time dashboards and reporting to help monitor KPIs like unapplied cash and DSO effectively.
Ensure the solution has a user-friendly interface and quick implementation timelines to minimize disruption to daily operations.
Manual remittance capture and payment matching slow down cash application processes, cause errors, and delay cash collection. With the HighRadius automated cash application solution, you can automate remittance capture, eliminate costly errors, and streamline payment matching. Gain real-time visibility into transactions, speed up cash collection, and improve financial agility.
Schedule A DemoA cash application system automates the process of matching incoming payments to customer invoices. It helps businesses record payments efficiently, reduce manual work and errors, ensure accurate financial reporting, and streamline cash flow management.
To boost accuracy with cash application automation, ensure your system integrates seamlessly with existing ERP or accounting software. Regularly update your data and implement robust validation checks to catch discrepancies early, minimizing errors and enhancing trust in financial reports.
Implementing a cash application system helps businesses streamline their payment processes, reduce manual errors, and improve cash flow management. It enhances financial accuracy and efficiency, allowing teams to focus on growth strategies instead of administrative tasks.
Automated cash application tool digitizes remittance data using Optical Character Recognition (OCR) by scanning documents, emails, or images to extract payment details like invoice numbers and amounts. This eliminates manual data entry, ensuring faster, more accurate processing and seamless integration with financial systems.