Artificial Intelligence in A/R : 7 Disruptions in Credit Management to look out for in 2020

Key Takeaways

Develop different credit models to more accurately assess credit risk for private and public companies
Predict blocked orders and proactively direct collection efforts for identified accounts
Reduce the number of touchpoints for faster customer on-boarding to improve customer experience

Speakers

Bill Weiss, Vice President of Business Development-Credit & Collections, HighRadius

About The Webinar

“We’ve always done it this way…” A common enough refrain in many industries, and it is certainly true when it comes to the credit management function. But it’s time for credit managers to take a much more coordinated approach in the business, shifting focus from ensuring correct payment to driving profitability of the entire company. A major roadblock in this transition are the low-value repetitive tasks like reviewing credit-worthiness of customers, deciding credit limits, handling blocked orders which often consume most of their bandwidth leaving them with no time to focus on high-value strategic tasks.
Join Bill Weiss, VP Business Development – Credit & Collections, HighRadius in this webinar where he explains how AI is transforming the credit management process from speeding up the customer on-boarding process to predicting blocked orders along with best practices to help you as a manager and become a change leader in your credit department.

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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.