AI-enabled Remittance Capture


This e-book is an actionable summary that drills down the challenges in remittance processing and best-practices to build a robust remittance processing workflow for checks and e-payments

Contents

Chapter 01

Executive Summary

Chapter 02

13 Everyday Remittance Scenarios

Chapter 03

AI-enabled Remittance Capture

Chapter 04

About HighRadius
Chapter 03

AI-enabled Remittance Capture


End-to-end Automation For Remittance Capture

End-to-end Automation For Remittance Capture

Staying future-ready with Artificial Intelligence

  Artificial Intelligence transforms the remittance capture process from an ad-hoc, unstandardized set of processes to an assembly-line approach. Due to the template-free technology, it supports all forms of remittances, making it future-proof and helps your team in accepting more e-payments that tend to come with decoupled remittance details. The key benefits associated with AI-enabled remittance capture are:

  • Cut costs on lockbox feesAI-enabled OCR captures check remittance data automatically, removing any dependency on bank lockbox services or in-house resources for key-in, thereby reducing costs
  • Eliminate templates with an AI-based capture engine that growssmarter over timeTemplate-free technology based on AI captures all remittance details even when thecheck stub comes in a non-standardized or unfamiliar format
  • Achieve 95% posting rate by eliminating errors associated with manual data entrySelf-learning OCR captures data with 95% accuracy, eliminating the need forexception handling when posting check payments
  • Free up resources for strategic credit and collections activitiesAutomate manual tasks of email remittance aggregation and data reading to focus resources on strategically important A/R operations

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There's no time like the present

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HighRadius Integrated Receivables Software Platform is the world's only end-to-end accounts receivable software platform to lower DSO and bad-debt, automate cash posting, speed-up collections, and dispute resolution, and improve team productivity. It leverages RivanaTM Artificial Intelligence for Accounts Receivable to convert receivables faster and more effectively by using machine learning for accurate decision making across both credit and receivable processes and also enables suppliers to digitally connect with buyers via the radiusOneTM network, closing the loop from the supplier accounts receivable process to the buyer accounts payable process. Integrated Receivables have been divided into 6 distinct applications: Credit Software, EIPP Software, Cash Application Software, Deductions Software, Collections Software, and ERP Payment Gateway - covering the entire gamut of credit-to-cash.