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Set up rule-based workflows to identify and remove any duplicate entries and human review for complex or ambiguous transactions. Regularly analyze reasons for variances (for eg: format differences, fraud, duplicate records) Discrepancy identification During reconciliation, any mismatches are flagged for further review.
MS-Excel files), structured XML documents from Electronic Data Interchange (EDI), PDFs and image files, and sometimes as hard copy documents. Errors at the start of the invoice processing workflow can snowball into serious outcomes such as over-payment, incorrect payments, invoice duplication, etc.
Accurate data capture A company may invoice invoices in various formats - paper, pdf, xml , etc. It must optimise the existing setup without requiring drastic changes of existing workflows. Invoices and other financial documents may be received as mail, emails or through online forms.
Managing multiple invoice formats: Large organizations handle purchase orders and invoices from various sources in diverse formats such as word documents, spreadsheets, XML documents for EDI, PDFs, images, and paper documents. Many 2-way matching tools are available, each with features designed for different needs.
Seamless integration will enable smooth data flow and avoid duplication of effort. Automate data extraction and population into various formats, such as CSV, JSON, and XML, making it easy to use and analyze the data. Support and training: Evaluate the level of customer support provided by the software provider.
The validation workflow enables you to detect and flag duplicate documents to prevent issues like double billing. You can also download the structured outputs (CSV, JSON, XML) for further analysis or use webhooks or Zapier to push the data to other systems in real time. Nanonets integrates with over 5,000 applications through Zapier.
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