Credit Policy in 2019 : Mitigating Risks with Macroeconomics, Consumer Behavior and Technology Disruptions

Key Takeaways

CRF research reports on key macroeconomic trends and impact on credit departments
Improving collaboration despite customer preferences of disparate e-portals Ariba, Coupa, Taulia and so on
Leveraging Machine Learning for credit and collections
Mitigating risk with receivables using third party collections, factoring and legal

Speakers

George Uko, Manager, Credit and Collections, Staples
Matt Skudera, Vice President - Research and Education, CRF

About The Webinar

Across industries, the credit department is perhaps the most impacted by these following trends:

Macroeconomic factors – rising interest rates, tax reforms and prediction of recession
Technological advancements in A/P including adoption of e-portals
Bankruptcy filings, liquidations and M&A

These are the challenges that credit leaders need to address when tuning the credit policy for 2019.

In the upcoming webinar, join George and Matt as they discuss best practices for designing a dynamic credit policy that takes these external factors into consideration.

There’s no time like the present

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HighRadius Credit Software automates the credit management process, enabling credit managers to make highly-accurate credit decisions 2X faster and enable faster customer onboarding with 4 primary components: configurable online credit application, customizable credit scoring engines, credit agency data aggregation engine, and collaborative credit management workflow. Along with that, there are a lot of key features that should definitely be explored some of which are online credit application, credit information aggregation, automated credit scoring & risk assessment, credit management workflows, approval workflows, and automated bank & trade reference checks. The result is faster customer onboarding, better internal collaboration, higher customer satisfaction, more targeted periodic reviews, and lower credit risk across the company’s customer portfolio.