Discover the Best Duplicate Invoice Example for Human Resources

Duplicate invoice example for Human Resources

duplicate invoice payments occur far more than most companies realize resulting in cash leakage conducting a duplicate invoice audit within accounts payable is an essential task for any business in order to avoid overpayments and financial discrepancies identification of duplicate invoices is often done manually which is time intensive labor intensive and error prone controlling duplicate invoice payments become even more difficult in cases involving numerous invoice receiving methods and various payment methods that's where n comes in with its intuitive and visual interface n can connect and consolidate data from multiple systems and automate the identification of duplicate invoices with precision and ease today we will showcase how to use Nim for efficient and accurate identification of duplicate invoices within accounts payable for this example we use the simplified data set to simulate real world areas our goal is to automate the process of identifying duplicate invoices the output is a report which shows matched invoices ranked by invoice number similarity and invoice amount for this process we will utilize a simplified data set which just includes invoice number and invoice amount in the real world you might see data sets which include invoice numbers supplier names invoice dates amounts and so on Nim can connect to multiple systems by using various dedicated connector nodes but to make this example work on any laptop we have just used Excel files for Simplicity at a high level the N workflow consists of several key steps data ingestion is done with Excel reader notes to bring in Sample data alternatively companies May connect to their own systems directly the first name component is used to consolidate different data sets and perform some data transformation and aggregation within the second component We compare invoice numbers and perform fuzzy matching to identify pairs of invoice numbers which may be similar to each other rule engine nodes are used to rank potential duplicates based on invoice number similarity as well as invoice amounts a color manager node is used to assign colors based on ranking to help a user see the most important duplicates to investigate first The View rank duplicates component provides a visualized table representation of the output data the report PDF writer node is used to Output a PDF report which can be distributed alternatively the workflow May write to other destinations as needed the results can alternatively be visualized with tools like Tableau or powerbi which may be integrated into Enterprise reporting this analysis provides clear insights into the number of duplicates the financial impact and provides this information in a ranked manner to ensure action clear reporting makes it easy for stakeholders to understand and act on the data quickly by leveraging Nim's local environment we not only improve improve accuracy and efficiency but also automate the reporting process ensuring consistent and reliable results this allows teams to quickly Implement corrective measures and prevent future duplicates special thanks to our partner day five analytics for contributing this workflow to denight community [Music]