Introduction 

When discussing accuracy with respect to recognition, the primary focus usually revolves around the AP automation tool’s effectiveness in extracting and converting data from documents into a machine-readable format. 

However, the functionality of Cevinio extends a lot further. Cevinio provides insights into the quality of your master data, invoices, and robot rules, among other aspects, when matching the invoice information against the various sources. Such information is invaluable, as better-quality source data leads to improved matching results and heightened efficiency in the invoice processing. To better encapsulate the powers of this dashboard, we’ve opted for a more fitting name – introducing the Robot Matching Statistics Dashboard. 

What is the purpose of the Robot Matching Statistics Dashboard? 

The purpose of the Robot Matching Statistics Dashboard is to support your accounts payable invoice processing optimization strategy. This involves identifying and closely examining problematic attributes, vendors sending incomplete invoices, and locations that exhibit a high frequency of errors. By doing so, you can pinpoint areas for improvement and take targeted corrective actions. 

What are the changes? 

The essence and objective of the previously labeled accuracy dashboard remain unchanged. What has been updated is the nomenclature associated with data insights and views, aligning more closely with the authentic purpose and value of the information we provide. Below is a concise overview of the forthcoming name changes, set to take effect on the 12^th of March. 

• Accuracy % –> robot matching %  
• Correct –> match confirmed  
• Incorrect –> match rejected  
• Touches –> fields adjusted  
• Vendor –> creditor 

We believe these changes will better capture the massive invoice-matching value of Cevinio, unlocking insights crucial for process improvements. Should you have any questions or need further clarification, please contact us.