Remove Correspondent Remove Data Security Remove XML
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How to Use AI in Bank Statement Processing

Nanonets

Reconciliation This step involves matching the extracted data with the company’s internal records. For instance, if the bank statement shows a $1,000 deposit on a specific date, it matches the corresponding entry in the accounting records. Fully automate the reconciliation process , including import and data matching.

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What is PO Matching? And how to automate it?

Nanonets

MS-Word documents), data entry files (e.g., MS-Excel files), structured XML documents from Electronic Data Interchange (EDI), PDFs and image files, and sometimes as hard copy documents. The unification of all these documents is time-consuming and error-prone when performed manually.

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What is an invoice reader and how to use it?

Nanonets

Structured – The data is in structured form and may be as Spreadsheets (e.g., doc), HTML XML Data PDF EDI (EDIFACT) and CSV. The capability of extracting data from multiple sources and formats of invoices The capability of converting the extracted data into multiple readable/editable formats for subsequent use.