This e-book uncovers the leaks in account prioritization, which can inflate past-due A/R by 150% and the means to seal the leaks through industry best practices and smart segmenting factors to increase team productivity and ensure faster collections
As discussed in the previous chapter the accounts in the collections worklist can be classified as Deprioritized, At Risk and Low Hanging Fruit. The actions that the collections team should take for each scenario were also suggested in the previous chapter. In conclusion, the fast-paying customers, the small to medium accounts, the customers with low credit risk who have exhausted more than 90% of their credit limit and the customers who have asked for and been sent invoices come under ?Low Hanging Fruit?. The customers with open dunning notices, unresolved disputes, approaching promise-to-pay or follow update along with those who have a discrepancy in cash application come under ?De-prioritized? accounts. The customers with invalid deductions, multiple dunning notices, broken promise-to-pays or the accounts where customers are habitual late payers are ?At Risk? accounts.
The first chapter discussed the evolution of collections process into a reactive, semi-automated process which relies heavily on a mismatch of tools like Emails, Excel Spreadsheets, Messenger, Calendar, ERP system, To-do lists, Sticky notes, Notepads, etc. However, are these tools really a necessity in the future of collections? Technology is the future of the collections process where all the data, analysis, strategies, correspondence and information are only a click away. HighRadius Collections Cloud solution provides a complete set of tools to optimize and automate the collections management process. All the information you need like invoices, dispute information, PODs, claims, tracking info, etc. on each case is automatically presented in a collections work-space and ready for use with a single click Key Features Include:
Collections Worklist
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.