During uncertain economic times, credit analysis and scoring play an important role in evaluating the credibility and financial performance of a business to determine if the customer will be able to generate enough cash to pay for their orders. Moreover, the COVID crisis has left most credit analysts scratching their heads to entertain customer requests for flexible credit terms and payment plans to accommodate the global crisis and unstable cash flow.
Without an infrastructure to assess credit worthiness of the customer portfolio, businesses could incur significant losses if they extend flexible or lenient credit terms to their customers.
In order to stimulate business growth and encourage sales, credit professionals need to have a comprehensive understanding of credit data to get a 360-degree view of associated risks and business opportunities.
Most mid-sized businesses do not realize the importance of having a strong credit policy until they have taken quite a few blows of revenue loss due to poor evaluation of the financial capabilities of their customers. Not that anyone is to be blamed, but lack of proper infrastructure and poor credit management system often has a detrimental impact on the cash flow.
Companies often rely on either subjective credit assessment, or a primitive credit policy to extend credit to their customers. Typical credit policies with standard credit limits and payment terms might make customer onboarding simple but could also expose you to the risk of losing money if a customer’s business takes a sudden nose dive or in cases of financial uncertainty. For instance, in the COVID economy, where the customers are negotiating for flexibility – lack of credit assessment process makes the decision of ‘who to extend credit’ and’ how much ‘, difficult and time-consuming.
Credit scoring is done based on the credit data of a customer, such as repayment history, delinquency history, length of credit history, and total debt. For a new customer, all of these credit data are aggregated from credit agencies and credit groups. Applying this credit data into a scoring model allows businesses to get the respective credit score, risk class, and credit limit of a customer.
What’s important to note here is the authenticity of the credit information that businesses collect. The sources need to be credible to help businesses make decisions backed by reliable data and intelligent insights. Some sources to trust include:
A healthy credit scoring model consists of three key components: Accurate information, sound financial management, and regular monitoring. To effectively manage credit, businesses need to be aware of the 7 must-have parameters for effective risk management and making better financial decisions.
A robust Business Credit Scoring Model with the ability to analyze different customizable parameters from credible sources such as D&B, Experian, and NACM could help credit professionals automatically assign credit scores to customers, ensuring that accounts with the highest risk are identified. Moreover, It could give a credit professional visibility into a customer’s future financial condition and help forecast what the coming years might look like- whether the business will still be running or end up being bankrupt.
Similar to Hawking’s theory of everything, Mid-sized businesses need to have one all-encompassing Credit Scoring Model to counter the misfortune of triggering a credit event such as bankruptcy, obligation default, or failure to pay. A Ready-to-use excel based credit scoring model might come in useful for effectively scoring a customer while ensuring a reduction in bad debt and improvement in cash flow.
While an excel-based scoring model might give companies an edge and accelerate the credit scoring process, it’s still a dime a dozen. The rise of artificial intelligence and technology has made it easier, faster, and more cost-effective to mine vast quantities of data and make meaningful decisions out of them. While most mid-sized businesses are yet to discover the full potential of automation, credit professionals are betting on technology to find the best customers, partners, and vendors to do business with.
To quote Arthur Schopenhauer, “All truth passes through three stages: First, it is ridiculed. Second, it is violently opposed. Third, it is accepted as self-evident.” sums up the present degree of acceptance of technology in mid-sized businesses.
Well, with time, evolving from traditional and manual processes is a must. Streamline credit management to identify potential opportunities and mitigate risks with faster customer onboarding with HighRadius’ RadiusOne A/R Credit Risk Management App.
With automated credit scoring pre-loaded with models and algorithms- configured based on industry-specific best practices, businesses could easily auto-assign risk score, risk category, and credit limits for customers. The future of automation is here, so leverage automated credit scoring to- decelerate risk and accelerate revenue growth. Get a free demo now!
The HighRadius RadiusOne A/R Suite is a complete accounts receivables solution designed for mid-sized businesses to put their order-to-cash on auto-pilot with AI-powered solutions. It leverages automation to fast-track key accounts receivable functions including eInvoicing & Collections, Cash Reconciliation, and Credit Risk Management powered by RadiusOne A/R Apps to improve productivity, maximize working capital, and enable faster cash conversion. Affordable, quick to deploy, and functionality-rich: it is pre-loaded with industry-specific best-practices and ready-to-plug with popular ERPs such as NetSuite and Sage Intacct. The HighRadius RadiusOne A/R Suite is designed to automate labor-intensive processes while streamlining credit and collections activities for faster A/R processing, better cash flow and improved profitability.
Lightning-fast Remote Deployment | Minimal IT Dependency
Prepackaged Modules with Industry-Specific Best Practices.