The AR Invoice Automation Landscape Report, Q1 2023

In the last decade, AR invoice automation solutions have utilized AI/ML to digitize, streamline and automate end-to-end AR processes. From automated delivery of invoices, reactive to proactive automated collections, match payments to open invoices and; manage valid and invalid deductions effectively

ERP systems have limited capability to apply automation rules  and often restricted to reduce manual work in Excel. They can’t manage the growing complex demands of AR; leading companies to use specialized AR invoice automation solutions along with ERPs to improve efficiency and cash flow

Immense demand is growing on cloud based integrated solutions that are ERP-agnostic and can integrate with other enterprise grade applications seamlessly. Since many businesses use siloed systems for ERP, accounting, banking and payments; managing AR result in increased complexities and operational inefficiencies

Predictive AI is the biggest differentiator and vendors are investing heavily in advance AI. There is a shift from basic-AI rules application toward building advanced AI-based models that have the capability to monitor credit risk in real-time, early identification of customer defaults, predict invalid deductions asout-of-box solutions

AR automation technology and vendor best-fit assessment could be based on geography focus, industry focus and type of offerings (platform, applications or API driven). Based on the size of the firm and prospects needs, the solution providers have core use cases (frequently sought by the buyers), extended use cases (in addition to core use cases) and functionality use cases (functionalities that matter most) to help firms chose the right technology and vendor