Skill #2


An insightful summary of how these GPOs made their Order To Cash future-ready while reducing costs, improving metrics and keeping their customers happy!

Contents

Chapter 01

Defining GPO?s Responsibilities

Chapter 02

Skill #1

Chapter 03

Skill #2

Chapter 04

Skill #3

Chapter 05

Skill #4

Chapter 06

Skill #5

Chapter 07

Summary

Chapter 08

About HighRadius
Chapter 03

Skill #2


Data Driven Decision Making Cargill?s Transition to Lean and Simplified A/R

Gunther Smets Thumbnail

Why this skill is necessary

Before jumping into the next best technology available, it is essential for the GPOs to take a step back and analyze their processes in-depth. Poor understanding might lead to poor decisions at high costs and negligible results. Hence, only after comprehensive analysis and benchmarking, GPOs are informed enough to make accurate decisions.

What Cargill achieved using this skill

Cargill?s Challenge: Complex IT Landscape

  • Worked out of decentralized business units.
  • Tried to ?lift + shift? to a centralized shared service model
  • Realized the lack of an integrated model that could support their multifaceted IT landscape consisting of:
    • 5 enterprises
    • 20 business groups
    • 28 JDE instances
    • 5 SAP instances
    • 90+ proxy CTC applications
    • 50+ ERPs
    • No centralized customer master data
  • Decided they needed a different approach.
  • Opted for ?lift + shift + transform? strategy
  • Standardize processes post transformation

How Cargill leveraged data driven decision making

  • Select technology based on maturity gaps in the processes.
  • Three steps to find maturity gaps:

Data driven decision making With this, Gunther Smets, OTC GPO for Cargill was able to make informed decisions and transform into a lean and simplified A/R

Recommendations

Summary-12

Executive Dashboard

Summary-11

There's no time like the present

Get a Demo of Integrated Receivables Platform for Your Business

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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.