Matching Transaction

The Document Matching screen here is used for reconciling uploaded financial data with records in the system by mapping fields from the uploaded document to the platform’s required fields. This matching process helps ensure that each piece of data in the uploaded file corresponds correctly to the system’s transaction fields.

What do the matching fields represent ?

1. Match Information (Left Column):

This section lists the required and optional fields that the system expects for reconciliation. Key fields like Transaction Amount, Transaction Date Time, Transaction Type, and Reference ID are marked as essential (indicated by the asterisk), meaning they’re necessary for accurate reconciliation. Other fields, such as User Phone, User Email, Counterparty Account Name, and Transaction Fee/Charge, are additional data points that help provide more detail to the reconciliation process but are not mandatory.

2. Uploaded Information (Right Column):

This section displays the headers from the uploaded file (e.g., Excel or CSV) that you want to reconcile. For each header (like Amount, Date, Transaction ID, Phone Number, etc.), you can match it with the corresponding field on the left. Dropdown Menus next to each field allow you to select which header in the uploaded document should map to each required field. For instance:

• If Amount in the uploaded file represents the Transaction Amount, you would map it accordingly.

• If Date matches Transaction Date Time, select it from the dropdown.

• Continue mapping each field as required.

3. Completing the Matching Process:

After you’ve matched all the necessary fields, click Complete Upload. This action will initiate the reconciliation, where the system aligns the data from the uploaded file with its records. Any unmatched transactions or discrepancies in values will be flagged, allowing you to investigate and resolve potential issues.

Purpose of Matching Transactions Here:

The matching process ensures that data from external sources (like bank statements, customer invoices, or payment records) align with the system’s transactions. By accurately mapping fields, you’re enabling the system to identify matching entries and detect discrepancies, making it easier to verify transactions, resolve mismatches, and maintain financial accuracy.