FIS Launches Its New Revenue Insight Solution to Transform Accounts Receivable Management and Optimize Collections
MWN-AI** Summary
FIS, a prominent financial technology leader, recently introduced its innovative Revenue Insight solution, aimed at transforming accounts receivable management and enhancing collection processes across various industries. Leveraging artificial intelligence (AI), this patented tool provides finance teams with actionable insights regarding cash at risk, enabling them to identify high-risk accounts and prioritize collection efforts efficiently.
The launch of FIS Revenue Insight addresses the critical challenges faced by finance leaders, who are increasingly under pressure to modernize their accounts receivable systems. A recent survey revealed that 81% of businesses have experienced delayed payments, underscoring the demand for improved financial analytics. The solution enables businesses to proactively manage cash flow by uncovering patterns and potential risks that human analysis may overlook, thereby shifting finance teams from manual, time-consuming tasks to strategic initiatives aimed at reducing days sales outstanding.
Part of FIS's Automated Finance suite, Revenue Insight assists CFOs in optimizing cash flow and transforming their departments into strategic growth partners. With its proprietary scoring model, organizations can target accounts most likely to delay payments, enhancing the efficiency and effectiveness of collections. When utilized alongside FIS’s GETPAID™ credit-to-cash solution, it further improves cash flow and working capital management, delivering deeper insights into portfolio risk.
According to Seamus Smith, group president of Automated Finance at FIS, Revenue Insight seeks to remove friction from financial operations by offering real-time visibility and drive innovation. Its versatile application spans various sectors, including financial institutions, utilities, and supply chain financing. FIS continues to be a key player in financial solutions, promoting efficiency and competitiveness for its clients and partners. For more details, visit FIS's official website.
MWN-AI** Analysis
FIS's introduction of the Revenue Insight Solution signifies a pivotal advancement in accounts receivable management, particularly in an environment where delayed payments are increasingly detrimental to cash flow. With 81% of businesses reporting delays in payments and 77% of accounts receivable (AR) teams not meeting their metrics, the need for effective solutions has never been clearer.
Investing in FIS Revenue Insight can transform the traditional role of finance departments—from mere cost centers to strategic powerhouses equipped to optimize collections and enhance cash management. This AI-driven tool streamlines processes, allowing CFOs to proactively manage cash flow by identifying high-risk accounts and prioritizing them with actionable insights. Such enhancements not only help mitigate risk but also improve operational efficiency by reducing days sales outstanding (DSO), which can significantly improve working capital.
The integration of Revenue Insight with FIS's award-winning GETPAID™ solution can further amplify its effectiveness. This partnership can lead to improved cash flow and deeper insights into portfolio risks, thereby providing a comprehensive approach to revenue optimization. The capability to uncover unseen patterns in customer payment behaviors positions businesses to make informed decisions that can reduce delinquencies and enhance customer relationships.
Given the competitive landscape, CFOs should consider leveraging technology like FIS Revenue Insight to maintain a competitive edge and ensure financial stability. The solution’s versatility across multiple sectors, including finance, supply chain, and utilities, underscores its broad applicability and potential for widespread adoption.
In conclusion, businesses should prioritize strategic investments in advanced technologies like FIS Revenue Insight to reap the benefits of improved cash management, reduced collection cycles, and a stronger financial position moving forward.
**MWN-AI Summary and Analysis is based on asking OpenAI to summarize and analyze this news release.
Key Facts
- The FIS Revenue Insight solution harnesses artificial intelligence (AI) as it seeks to provide a comprehensive tool for giving actionable insights into cash at risk without manual, error-prone processes.
- The patented solution enables finance teams across any industry to identify high-risk accounts, prioritize collection efforts and proactively manage cash flow across the money lifecycle.
- The FIS Revenue Insight product empowers businesses to turn the office of the CFO from a cost center to a true strategic advantage by removing friction in money movement and creating revenue opportunities to help businesses grow.
FIS ® (NYSE: FIS), a global leader in financial technology across the full money lifecycle, today announced the launch of FIS Revenue Insight , a predictive analytics solution designed to help businesses optimize collections. Through proprietary patented technology powered by artificial intelligence (AI), FIS Revenue Insight aims to deliver actionable insights into cash at risk, enabling companies to proactively identify risks, accelerate revenue and drive business growth.
The FIS Revenue Insight solution is part of the FIS Automated Finance suite, which delivers data-driven receivables automation, payables automation and revenue optimization solutions for the office of the CFO in any industry, enabling the seamless flow of money in motion.
Why Revenue Insight Matters
Today’s finance leaders across industries face growing pressure to modernize their accounts receivable management. According to a recent survey , 1 81% of businesses have experienced an increase in delayed payments, with 50% experiencing late payments from customers and 77% of AR teams falling behind on their metrics. Even the best finance departments face questions about which accounts will or will not pay, and who will self-correct or who will go into severe delinquency.
The FIS Revenue Insight product can help CFOs bring technology harmony to the money lifecycle, employing AI to analyze customer data, identify high-risk accounts and address potential issues before they escalate. This tool uncovers patterns and trends that might go unnoticed by human analysis, allowing finance teams to shift from manual tasks to strategic activities and reduce days sales outstanding. Additionally, when paired with FIS’ award-winning GETPAID™ credit-to-cash solution, users may see enhanced cash flow and working capital optimization, deeper insights into portfolio risk and greater levels of automation. With the proprietary Revenue Insight scoring model, businesses can prioritize accounts that are at the highest risk of payment delays, ensuring their collection efforts are more targeted and efficient.
“Revenue Insight, as part of the FIS Automated Finance suite, can revolutionize the way CFOs manage cash flow in today’s fast-paced environment. Our vision is to provide systems that turn finance from a cost center into a growth partner, taking the friction out of finance through visibility, real-time insights and innovation that maximizes revenue and strengthens customer relationships,” said Seamus Smith, group president of Automated Finance, FIS. “A data-driven, proactive approach to accounts receivable management is critical for our clients to balance money in motion while maintaining a competitive edge and financial stability. With the help of Revenue Insight, our clients can take the guesswork out of collections.”
FIS Revenue Insight’s versatile application can benefit a broad range of sectors, including accounts receivables, financial institutions, supply chain financing, debt collectors, insurance premiums and utilities.
For more information on Revenue Insight, visit www.fisglobal.com/products/automated-finance .
FIS is a financial technology company providing solutions to financial institutions, businesses and developers. We unlock financial technology to the world across the money lifecycle underpinning the world’s financial system. Our people are dedicated to advancing the way the world pays, banks and invests, by helping our clients to confidently run, grow and protect their businesses. Our expertise comes from decades of experience helping financial institutions and businesses of all sizes adapt to meet the needs of their customers by harnessing where reliability meets innovation in financial technology. Headquartered in Jacksonville, Florida, FIS is a member of the Fortune 500® and the Standard & Poor’s 500® Index. To learn more, visit FISglobal.com . Follow FIS on LinkedIn , Facebook and X .
1 American Express, Meeting the Growing Need for AR Modernization - The B2B and Digital Payments Tracker® Series
View source version on businesswire.com: https://www.businesswire.com/news/home/20250206592455/en/
Kim Snider, 904.438.6278
Senior Vice President
FIS Global Marketing and Communications
kim.snider@fisglobal.com
FAQ**
How does the FIS Revenue Insight solution leverage AI to mitigate risks associated with delayed payments, and how might Fidelity National Information Services Inc. FIS differentiate its offering in a competitive financial technology landscape?
What key performance indicators (KPIs) should finance leaders focus on when implementing FIS Revenue Insight to ensure they are effectively managing cash flow and minimizing accounts receivable delinquency at Fidelity National Information Services Inc. FIS?
In what specific ways does FIS Revenue Insight facilitate the transition of finance departments at Fidelity National Information Services Inc. FIS from traditional cost centers to strategic growth partners, and what are the expected outcomes?
How could the integration of FIS Revenue Insight with existing financial systems enhance operational efficiency and risk management across various sectors, particularly within Fidelity National Information Services Inc. FIS's client base?
**MWN-AI FAQ is based on asking OpenAI questions about Fidelity National Information Services Inc. (NYSE: FIS).
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