This issue is caused by the way the data is stored in the .csv file. Numbers are treated as integers and therefore shouldn’t contain leading zeros, so the zeros are stripped during parsing, resulting in no matches.

The following options should be used when executing a match and merge against the leading zero integers:

Option 1: Rename the .csv file to .txt. Match and merge will treat all values as text.

Option 2: If necessary, create a schema.ini file for the .csv file and place it into the same directory. This will ensure every field/column is treated as text rather than a number, so any leading zeros will remain intact.

Example of schema.ini for a file named Invoices.csv:

[Invoices.csv] Format=CSVDelimited CharacterSet=OEM Col1="VENDOR #" Char Width 255 Col2="VENDOR NAME" Char Width 255 Col3="INVOICE #" Char Width 255 Col4="INVOICE DATE" Char Width 255 Col5="INVOICE AMT" Char Width 255 Col6="PO #" Char Width 255