Santa Clara, CA, April 22. Emagia, a provider of AI-powered receivables solutions, announced it has been named a Visionary in the 2022 Gartner® Magic Quadrant™ for Integrated Invoice-to-Cash (I2C) Applications. Magic Quadrant is a series of market research reports published by IT consulting firm Gartner.
Gartner states that integrated I2C solutions have become a key requirement for most finance organizations, projecting that the market for integrated I2C solutions will reach $3 billion by 2024. compounded annual growth rate (CAGR) of 12.1% (2019-2024).
“At Emagia, we stay true to our vision in bringing breakthrough I2C innovations to bold finance leaders focused on modernizing their businesses with digital world-class finance operations,”said Veena Gundavelli, Founder & CEO of Emagia.“We believe, this recognition from Gartner is a clear testament for our track record of highly transformative innovations such as AI-powered I2C digital workforce Gia and AI-powered I2C automation platform delivering exponential advantage in I2C efficiency, effectiveness and cash flow improvements.”
According to Gartner, “Integrated Invoice-to-Cash (I2C) applications use a single platform with automation and predictive capabilities to drive cash flow, improve collections and enhance the customer experience.”
Gartner further says, “The pandemic has accelerated the demand for I2C applications, as organizations are urgently optimizing their internal processes to enable faster cash collections.”
Emagia’s AI-powered Enterprise Receivables Management System is a cloud platform for mid-size to large, global companies and their shared services. Emagia transforms the Invoice-to-Cash process by leveraging Automation, Analytics and AI to next generation hyper efficient digital receivables process. Emagia’s I2C platform includes digital credit, digital invoicing, digital payments, digital collections, digital cash flow forecasting, digital deductions, digital cash application, customer EIPP portal, digital assistant Gia with over 6 personas, digital document data extraction, digital data lake with deep and advanced digital I2C analytics.
