Accelerate your
accounts receivable with MatchMaker

Do you spend more than four hours a day matching incoming payments to invoices? Or do you have more than 50 incoming payments per day? Empower your finance professionals by automating menial, repetitive tasks. Reduce time spent on allocating cash by up to 90%. Our solution uses RPA to automatically match at least 85% of your incoming payments to outstanding invoices. Advanced algorithms and intuitive automation provide suggestions for further manual matching. This saves you time and money.

Accelerate your accounts receivable
Automatically match 85% invoices

Automatically match 85% invoices

Accelerate your cash allocation process through RPA so your finance department can spend less time on menial tasks and more time on exceptions. Batch processing of incoming payments mean you can allocate your cash before breakfast. Empower your employees and increase their productivity.
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Quick and easy matching

Quick and easy matching

Specific matching methods. Intuitive automation and advanced reconciliation algorithms increase the accuracy of automatic matches, while also determining the most likely suggestions if an automatic match is not made. Alongside standard matching criteria, MatchMaker allows you to predetermine and alter matching criteria, making the software work for you. You can also capture and process remittance advices.
Intuitive and user friendly

Intuitive and user friendly

The more you use the software and the higher volume of invoices matched, the more accurate future matching and suggestions become. MatchMaker integrates with your ERP or accounting system to share up-to-date journal entries, thus sharing critical information throughout your organisation.
Scale up your order-to-cash platform

Scale up your order-to-cash platform

Increase matching capabilities and accuracy in MatchMaker by integrating with our credit management solution, CreditManager. Greater transparency and overview of payments and customers.
More benefits

More benefits

Integrates with all ERP and accounting systems. Supports all bank formats with multi-language and multi-currency. 24/5 support.

What is Cash Allocation?

Payment processing or cash allocation is the processing of incoming payments and outstanding debtor invoices. Visma | Onguard’s intelligent payment processing software MatchMaker uses AI and big data to automate at least 80% of this process. This saves a lot of time, so that credit managers can concentrate on the exceptions. Payment processing is also referred to as reconciliation.

Do Onguard solutions use Robotics Process Automation (RPA)?
Yes, Robotics Process Automation (RPA) also offers enormous opportunities for finance. It is aimed at performing tasks exactly like a human user, but faster and without errors. When deploying RPA, it is important that tasks are simple and repetitive.

Consider, for example, invoicing where invoices from hundreds of customers are automatically entered and processed in the system, regardless of the file format. Onguard's matchmaker automatically matches at least 80% of the invoices with incoming payments based on algorithms. Bank transaction processing is also automatically booked on the basis of recognition (for example, the customer number or description). Compiling reports from systems is also done via RPA.

Do Onguard solutions use Artificial Intelligence (AI)?
Yes, Onguard uses AI, or artificial intelligence, in its solutions to manage entire processes. This involves tasks or assignments, such as classifying customers for risks. AI ensures that all financial information is up-to-date and real-time transparency, so that the finance professional can really focus on analysis and strategy.

Work that has already been automated for the credit manager and other finance professionals in the past can be extended with AI. Consider, for example, segmenting people or groups according to certain risks. Rules are defined in the traditional way and transferred into business rules. With AI, the system can make segmentations itself based on data. Customers are divided on the basis of certain patterns. But assessing whether a customer is creditworthy can also be improved with AI. Previously, assessment rules were very black and white and credit managers had to assess the "gray area". However, AI can make new connections to reduce this gray area. So also on the basis of credit acceptance, AI is a valuable addition. Finally, with AI it is possible to predict certain events, such as which customer will have a delay in his payments.

How does the integration work with other parties?
Onguard integrates all our solutions and our partner's solutions on an API (Application Program Interface platform).

We offer a very rich functionality within our solutions. You might have a lot more questions. Have a look at our frequently asked questions or just contact us.

Any more questions

We offer a very rich functionality within our solutions. You might have a lot more questions. We selected three of them on the right, but please feel free to have a look at our frequently asked questions page or just contact us.
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Our customers

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