Machine Learning

ML-powered HighRadius Recognized in the 2021 Gartner Report

“By 2023, embedded AI within integrated I2C applications will automate over 50% of decision making within I2C processes.”

HighRadius, the Artificial Intelligence-powered Order-to-Cash and Treasury Management software leader, today announced that its Integrated Receivables platform capabilities are identified in the recent Gartner report. According to the report, “Integrated invoice-to-cash applications enable organizations to improve their collections processes, drive cash flow and enhance the customer experience.” This adds strategic business value for the Office of the CFO.

The 2021 Gartner report titled “Market Guide for Integrated Invoice-to-Cash Applications” highlights the accelerated demand for an end-to-end AI-powered integrated invoice-to-cash application, rather than digital capabilities.

“We believe that the increasing focus from respected analyst groups like Gartner validates what HighRadius has been seeing for years from our growing roster of customers,” said Sashi Narahari, Founder and CEO of HighRadius. “The Invoice-to-Cash process is ripe for more automation powered by AI.”

HighRadius is trusted by 600+ clients with users across 92+ countries, including 200+ Forbes Global 2000 companies, such as General Electric, Unilever, and Johnson & Johnson, as well as hundreds of mid-sized businesses. The company provides the world’s only AI-enabled Integrated Receivables platform, processing over $2.23 trillion in receivables transactions annually.

Download the report here.

Gartner, “Market Guide for Integrated Invoice-to-Cash Applications,” Nisha Bhandare, 17 May 2021.

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

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