Post pandemic, businesses have seen challenges such as a rise in default payments, possible insolvency, socio-political upheaval, supply-chain challenges, rising inflation, and varying global economic trends. These challenges also affected mid-market organizations—a critical business segment and a key contributor to the economy.
As mid-market organizations crawl back to normalcy, organizations with low cash reserves and unstable cash flows are especially vulnerable. This has a cascading effect on cash transactions between businesses, given the lack of clarity in assessing their creditworthiness.
These factors have complicated an already error-prone and unstructured credit risk assessment process, for mid-market businesses assessing the creditworthiness of their buyers. It is now crucial for mid-market organizations to improve credit risk management, plus increase earnings, and improve efficiency in 2022 and beyond.
In 2022, mid-market businesses need to determine the creditworthiness and risk factors reliably. They can do this by putting together an efficient risk analysis process that minimizes costs to arrive at the right decisions for credit extension across their customers’ lifecycle.
Without a cost-effective credit evaluation framework, mid-market CFO offices may extend excessive credit limits to high-risk buyers and low credit limits to low-risk buyers impacting top-line KPIs.
For years now, growing mid-market businesses have depended on manual credit risk management and analysis. The first step for mid-market CFOs to consider and is to move away from relying on manual processes to manage the credit risk of your customers, especially as:
These challenges typically start at the onboarding stage, as several mid-market organizations still follow the manual practice of managing paper-based credit applications, which is laborious, and error-prone. The lack of intelligent integration at the onboarding stage means these applications are sent arbitrarily via fax or an email from their buyers. Not to forget the additional time it takes to manually transfer data from these applications onto an excel sheet or an ERP for further processing.
The manual practice of handling credit data not only causes slower response time as multiple teams work in silos, but it is also prone to duplication and fraud which is detrimental for your businesses.
Additionally, such a traditional approach weighs down a business’s ability to control credit risks, lower productivity, and reduce the competitive advantage. Which is why it’s high time businesses abandon error-prone and time-consuming conventional credit risk analysis, and adopt a solution that will mitigate credit risk throughout the buyer’s lifecycle.
By infusing automation into credit risk management, CFOs and credit risk managers can gain deeper insights from advanced analytics, identify risks quickly which helps in better decision making. So, while you are simplifying the credit risk management process, you are also making it robust as it increases efficiency, improves compliance, and levels up your team’s productivity.
Automation of the credit risk management process helps organizations efficiently monitor and red-flag potential risks in real-time by:
When you digitize Credit Risk Management, your business can perform compliance tasks faster, more accurately, and without bumping up the cost significantly. As opposed to the manual process of managing credit risk, automating the process allows these businesses:
Organizations that typically use archaic methods to manage credit risk often set up small teams that manage a disproportionately large number of buyers. Such arrangements dent a business’s throughput and limit its growth prospects, given the high volume of buyer data the teams have to manage. Especially today, when pandemic has made credit decisions more challenging, as business health is more volatile than it was a couple of years ago.
Supporting your lean teams with AR function automation can mitigate credit risk more efficiently by boosting team productivity, as –
Apart from the three benefits explained above, mid-market organizations can use digitally enabled credit risk processes for Portfolio Risk Management. Automated credit risk solutions allow businesses to reliably monitor real time leading indicators across multiple credit risk data sources and generate alerts and notifications in the event of bankruptcy and other risks that help CFO offices make better credit extension decisions.
While the teams benefit a great deal from these features, infusing automation in the credit risk management also enhances revenue and lowers wasted spend with improved decision making, resource optimization, shorter turn around time, and a frictionless buyer experience.
Now that we’ve established the reasons why automation is the go-to solution for efficiently managing credit risk for customers, let us understand the features you should be looking out for, in a SaaS software like HighRadius. HighRadius talks to 1000s of CFOs each year and understands the requirement of CFO offices, based on which – here are automation solutions for the challenges that credit risk management teams face:
To effectively manage credit risk, organizations need to look at credit risk mitigation into two steps:
Challenges to solve:
Mark Twain once famously said, “The secret to getting started is getting started.” A perfect start for any organization willing to digitize its credit management process is to digitize the onboarding experience. Time, cost, and compliance are three critical elements of customer onboarding.
HighRadius’ Credit Risk Management Solution enables organizations to accurately capture credit data, using a customizable online credit application. The easy-to-integrate function of the Credit Management Solution with businesses existing CRM also makes it efficient. Additionally, users can get real-time alerts whenever a customer submits the application for them to commence with credit evaluation.
HighRadius’ AI-enabled Credit Risk Management Solution allows CFOs and credit analysts to track changes in customer credit risk based on their past payment behavior. Challenges that you can solve include:
The solution also enables them to access historic credit reports, to get a holistic view of their customer. Based on these findings, businesses can then set credit limits and notifications for any credit risk that may occur in the future.
To gain deeper insights and make faster, smarter decisions for win-win outcomes with the RadiusOne AR Suite’s Credit App, click here.
Automate invoicing, collections, deduction, and credit risk management with our AI-powered AR suite and experience enhanced cash flow and lower DSO & bad debtTalk to our experts
The HighRadius RadiusOne AR Suite is a complete accounts receivable’s 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 AR 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 AR Suite is designed to automate labor-intensive processes while streamlining credit and collections activities for faster AR processing, better cash flow and improved profitability.
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