Summary – 5 steps for AR transformation with AI


4 world class GPOs from Cargill, Air Products, Keurig Dr Pepper and Danone† explain how they changed the tides in their favour and prepared their A/R† for future.

Contents

Chapter 01

The Alphabet Soup: Cutting Through the Clutter of Buzzwords

Chapter 02

The Paradox: Extensive Hype and Minimal Adoption

Chapter 03

The Fragmented Technology Vendor Landscape

Chapter 04

Technology Vendor Evaluation: The Essential Questionnaire

Chapter 05

Technology Buffet in the Order-to-Cash Cycle: RPA, AI, and ML

Chapter 06

Summary - 5 steps for AR transformation with AI

Chapter 07

About HighRadius
Chapter 06

Summary - 5 steps for AR transformation with AI


Since these millennial technologies are ready to storm the finance and accounting sector, a precinct guide to efficient implementation is a must-have for A/R managers today. The following enlists the five simple steps for an efficient A/R transformation with AI.

  1. Understand RPA, ML, and AI: The first step is to simplify the cluttered landscape of technology by understanding the buzzwords, the different functionalities provided by different solutions and the scope and limitations of each.
  2. †Internal Assessment: The second step is to identify and analyze business process gaps, determine the areas of improvement and establish the process end state that the business would like to achieve.
  3. Technology Partner: The third step is to thoroughly evaluate vendors on result-oriented parameters. Some key factors to be considered include flexibility, scalability, compatibility with pre-existing solutions and completeness of the solution.
  4. †Business Case: The fourth step includes creating a compelling ROI-driven business case with clear expectations and benefits which can be presented to the decision-makers and gives a clear picture of investments and returns from the solution.
  5. Automate The final step is execution. Implementing the solution with the full range of functionalities would not only improve the current processes but also pave a way for automation solutions for other functions of the business. Leveraging automation benefits can be the cornerstone of your next promotion!

Artificial Intelligence is present all around. It is carried around in pockets, in cars and homes, and influences human lives on a scale bigger than people realize. While the smart minds continue to explore the seemingly infinite potential of this technology, the complex domain of accounts receivables makes true understanding a nightmare for credit and A/R managers. However, with a clear knowledge of these ?pop? technologies, the A/R managers can evaluate the functionalities of different solutions, select the perfect match, implement the solution to improve their process and ultimately secure their next promotion!

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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.