Remove Addressing Remove Duplicate Remove Technology
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Beyond Manual Processes: Embracing AP Automation

The Fintech Times

As businesses adapt to the accelerating pace of technological change and new e-invoicing mandates, one aspect of financial management stands out – accounts payable (AP) automation. Duplicate and fraudulent invoice detection : AI engines can identify potential duplicate invoices or invoices with unusual amounts and flag them for review.

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Guide to Vendor Account Reconciliation Process

Nanonets

Fraud Detection and Prevention: Through vendor reconciliation, businesses can detect discrepancies that may indicate fraudulent activities such as overbilling, duplicate invoices, or fictitious vendors. By promptly addressing discrepancies and resolving payment issues, businesses demonstrate reliability and professionalism.

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Creating a Secure High-Risk Merchant Account in 2022

Payment Savvy

Better yet, if you choose a payment provider offering cutting-edge tools and solutions, you can rest assured your high-risk merchant account is evolving to adopt the latest security technology as new threats appear. Duplicate Detection. The module may be used to identify and eliminate duplicate transactions. AVS Response.

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Deloitte and Basware Form Alliance to Transform E-invoicing

Fintech Finance

Finance teams in large enterprises that process and pay thousands of invoices per week often face challenges around late payments to suppliers, duplicate invoices and even fraudulent payments. Together, our technology and leadership in the AP space will unlock new levels of touchless invoice processing.”

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Expense Reconciliation: Step-by-Step Guide

Nanonets

By comparing these records, businesses can identify any discrepancies, such as missing or duplicate transactions, incorrect or false amounts, or any unauthorised expenses and transactions. Credit card reconciliation helps identify discrepancies such as fraudulent transactions, duplicate charges, or unauthorised expenses.

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How to Use AI in Bank Statement Processing

Nanonets

Data extraction   Key bank statement fields Data extraction tools automatically extract pertinent information from bank statements using machine learning-enhanced optical character recognition (OCR) technology. Set up rule-based workflows to identify and remove any duplicate entries and human review for complex or ambiguous transactions.

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Data Analytics Changes The Working Capital Management Paradigm

PYMNTS

Sixty-three percent of businesses in the United Kingdom have received duplicate invoices , for example — with 33 percent mistakenly paying them — 58 percent have had to pay suppliers’ late fees, and 90 percent have been pestered by suppliers demanding payments. Developments From Around The World of Back-Office Optimization.