How Fortune 1000 companies and SMEs automate credit and accounts receivable operations to improve productivity and reduce DSO and past-due A/R.
Deductions volumes have been growing over the years, making it more challenging for companies to handle the work with existing resources. A Credit Research Foundation survey observed that more than two-thirds of polled credit managers did not see any decline in the volume of deductions over the last 12 months. Automating deductions identification, research and collaboration is yet another low hanging fruit to refocus resources from deductions operations to higher value operations including credit and collections.
Figure 16: Manual Steps in Resolving Deductions
Typically, a deduction proceeds through a set of stages for resolution handled manually by the analysts.† Some of the major challenges they face while going through these manual steps include:
Deductions analysts spend a significant amount of time downloading and aggregating back up documents and collaborating with different stakeholders while research and resolution. This is where the top companies leverage technology to auto-aggregate all claims and PODs while providing a structured workflow for the analysts to research, catalog and amass all their collaboration at a single source of truth.
Figure 17: Two Steps to Automate the Deductions Process
Automating the deductions back up aggregation for claims and proof of delivery and attaching these to open deductions could significantly reduce the time take in backup retrieval and research. With this, the deductions become reasearch ready for analysts. Going one step further and providing a structured workflow platform for analysts to take care of all internal and external collaboration enables smooth and fast resolution. Faster deductions resolutions, in turn, result in faster collections, thereby lowering DSO.
Land O?Lakes, one of America’s premier agribusiness and food companies, received more than 100,000 deductions per year with 50% being contributed by the top 12 large customers. Handling all these deductions manually required huge commitments from the analysts in terms of time and effort. With automation, Land O?Lakes was able to increase ~$2 Million in closed deductions (dollars) while reducing the Deduction Days Outstanding (DDO) by 23%.
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.