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Celonis Product Documentation

Action View - User How-To
User Profile

The Duplicate Checking Module Action View is configured to be used by accounts payable specialists responsible for removing duplicate invoices.

Purpose of the Action View
  • Presents potential duplicate invoices detected using Celonis fuzzy matching algorithms

  • Notifies AP clerks and enables them to take action on potential duplicates in time

  • Gathers feedback on duplicate detection precision based on user actions and tracks value realization.

User Interface and Functionalities
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The Action View gives the responsible AP clerk an overview of duplicates currently detected by Celonis and KPIs reflecting value realization. At a glance, the following figures are presented:

  • Duplicate Value (open): Indicates the total value of potential duplicates discovered by the Machine Learning-Sensor (ML-Sensor)

  • # Duplicates (open): Indicates the number of duplicate groups discovered by the ML-sensor

  • duplicate pairsDuplicate Value (valid): Indicates the value of confirmed duplicates by the AP clerk

  • # Duplicates (valid): Indicates the number of duplicate groups confirmed by the AP clerk

* The ML-Sensor is the back-end tool that searches through your invoice backlog for duplicates.

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Using filters the AP clerk can narrow down the duplicates backlog to specific company codes, vendors or other fields, customizable by the user.

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In the Action View the AP clerk can switch between the ‘Open Duplicates’-tab which lists potential duplicates identified by the ML-sensor and the ‘Resolved Duplicates’-tab which contains past verified cases.

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The Action View displays potential duplicates grouped together and summarizes the most important information about a duplicate group, such as its total value and the detection patterns used.

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Each duplicate group can be displayed in a detailed view, showing the details of the potential duplicate invoices.

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After reviewing the duplicate case, the AP clerk can manually assign a status to the whole duplicate group by either marking it as a real 'Duplicate' case or a 'No Duplicate' case

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In the ‘Resolved Duplicates’-tab the user can evaluate past duplicate patterns and algorithm classification quality.